National Library of Energy BETA

Sample records for atmospheric profiling airborne

  1. Airborne Instrumentation Needs for Climate and Atmospheric Research

    SciTech Connect (OSTI)

    McFarquhar, Greg; Schmid, Beat; Korolev, Alexei; Ogren, John A.; Russell, P. B.; Tomlinson, Jason M.; Turner, David D.; Wiscombe, Warren J.

    2011-10-06

    Observational data are of fundamental importance for advances in climate and atmospheric research. Advances in atmospheric science are being made not only through the use of ground-based and space-based observations, but also through the use of in-situ and remote sensing observations acquired on instrumented aircraft. In order for us to enhance our knowledge of atmospheric processes, it is imperative that efforts be made to improve our understanding of the operating characteristics of current instrumentation and of the caveats and uncertainties in data acquired by current probes, as well as to develop improved observing methodologies for acquisition of airborne data.

  2. Multi-center airborne coherent atmospheric wind sensor (MACAWS)

    SciTech Connect (OSTI)

    Rothermel, J.; Menzies, R.T.; Tratt, D.M.

    1996-11-01

    The Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) is an airborne scanning coherent Doppler lidar designed to acquire remote multi-dimensional measurements of winds and absolute aerosol backscatter in the troposphere and lower stratosphere. These measurements enable study of atmospheric dynamic processes and features at scales of motion that may be undersampled by, or may be beyond the capability of, existing or planned sensors. MACAWS capabilities enable more realistic assessments of concepts in global tropospheric wind measurement with satellite Doppler lidar, as well as a unique capability to validate the NASA Scatterometer currently scheduled for launch in late 1996. MACAWS consists of a Joule-class CO{sub 2} coherent Doppler lidar on a ruggedized optical table, a programmable scanner to direct the lidar beam in the desired direction, and a dedicated inertial navigation system to account for variable aircraft attitude and speed. MACAWS was flown for the first time in September 1995, over the eastern Pacific Ocean and western US. 33 refs., 2 figs.

  3. Overview of the first Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) experiment: Conversion of a ground-based lidar for airborne applications

    SciTech Connect (OSTI)

    Howell, J.N.; Hardesty, R.M.; Rothermel, J.; Menzies, R.T.

    1996-12-31

    The first Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) field experiment demonstrated an airborne high energy TEA CO{sub 2} Doppler lidar system for measurement of atmospheric wind fields and aerosol structure. The system was deployed on the NASA DC-8 during September 1995 in a series of checkout flights to observe several important atmospheric phenomena, including upper level winds in a Pacific hurricane, marine boundary layer winds, cirrus cloud properties, and land-sea breeze structure. The instrument, with its capability to measure three-dimensional winds and backscatter fields, promises to be a valuable tool for climate and global change, severe weather, and air quality research. In this paper, the authors describe the airborne instrument, assess its performance, discuss future improvements, and show some preliminary results from September experiments.

  4. New Atmospheric Profiling Instrument Added to SGP CART Suite

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 New Atmospheric Profiling Instrument Added to SGP CART Suite A new atmospheric profiling instrument at the SGP CART site is giving researchers an additional useful data stream. The new instrument is a microwave radiometer profiler (MWRP) developed by Radiometrics Corporation. One ARM Program focus is improving the quality of simulations by global climate models, particularly models that deal with interactions between sunlight (solar radiation) and clouds. To support this improvement, ARM needs

  5. Quantifying sources and sinks of reactive gases in the lower atmosphere using airborne flux observations

    SciTech Connect (OSTI)

    Wolfe, Glenn; Hanisco, T. F.; Atkinson, H. L.; Bui, Thaopaul; Crounse, J. D.; Dean-Day, J.; Goldstein, Allen H.; Guenther, Alex B.; Hall, S. R.; Huey, L. G.; Jacob, D.; Karl, T.; Kim, P. S.; Liu, X.; Marvin, M. R.; Mikoviny, Tomas; Misztal, Pawel K.; Nguyen, Tran B.; Peischl, Jeff; Pollack, Ilana; Ryerson, T. B.; St Clair, J. M.; Teng, A. P.; Travis, Katherine; Ullmann, K.; Wennberg, P. O.; Wisthaler, Armin

    2015-10-16

    Atmospheric composition is governed by the interplay of emissions, chemistry, deposition, and transport. Substantial questions surround each of these processes, especially in forested environments with strong biogenic emissions. Utilizing aircraft observations acquired over a forest in the southeast U.S., we calculate eddy covariance fluxes for a suite of reactive gases and apply the synergistic information derived from this analysis to quantify emission and deposition fluxes, oxidant concentrations, aerosol uptake coefficients, and other key parameters. Evaluation of results against state-of-the-science models and parameterizations provides insight into our current understanding of this system and frames future observational priorities. As a near-direct measurement of fundamental process rates, airborne fluxes offer a new tool to improve biogenic and anthropogenic emissions inventories, photochemical mechanisms, and deposition parameterizations.

  6. Continuous Water Vapor Profiles for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Troyan, D

    2006-01-09

    The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the first quarter of Fiscal Year 2006 to complete a continuous time series of the vertical profile of water vapor for selected 30-day periods from each of the fixed ARM sites. In order to accomplish this metric, a new technique devised to incorporate radiosonde data, microwave radiometer data and analysis information from numerical weather forecast models has been developed. The product of this analysis, referred to as the merged sounding value-added product, includes vertical profiles of atmospheric water vapor concentration and several other important thermodynamic state variables at 1-minute time intervals and 266 vertical levels.

  7. Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites

    SciTech Connect (OSTI)

    Jensen, M; Jensen, K

    2006-06-01

    The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the third quarter of Fiscal Year 2006 to produce and refine a one-year continuous time series of cloud microphysical properties based on cloud radar measurements for each of the fixed ARM sites. To accomplish this metric, we used a combination of recently developed algorithms that interpret radar reflectivity profiles, lidar backscatter profiles, and microwave brightness temperatures into the context of the underlying cloud microphysical structure.

  8. Measurement of gas temperature and convection velocity profiles in a dc atmospheric glow discharge

    SciTech Connect (OSTI)

    Stepaniuk, Vadim P.; Ioppolo, Tindaro; Oetuegen, M. Volkan; Sheverev, Valery A.

    2007-12-15

    Gas temperature and convective velocity distributions are presented for an unconfined glow discharge in air at atmospheric pressure, with electric currents ranging between 30 and 92 mA. The vertically oriented discharge was formed between a pin anode (top) and an extended cathode. The temperature and velocity profiles were measured using laser-induced Rayleigh scattering and laser Doppler anemometry techniques, respectively. The temperature field exhibited a conical shape with the radius of hot temperature zone increasing toward the anode. A maximum temperature of 2470 K was observed on the discharge axis with the discharge current of 92 mA. Air velocity measurements around the discharge demonstrated that the shape and magnitude of the temperature field are strongly affected by natural convection. Estimates indicate that convective losses may account for more than 50% of the power input into the positive column of the discharge. The measured temperature fields and convective velocity profiles provide a set of data that is important for the evaluation of dc atmospheric glow discharges in various applications such as sound manipulation and acoustic noise mitigation.

  9. Differential absorption lidar measurements of atmospheric temperature profiles - Theory and experiment

    SciTech Connect (OSTI)

    Theopold, F.A.; Boesenberg, J. )

    1993-04-01

    The method of measuring atmospheric temperature profiles with differential absorption lidar (DIAL), based on the temperature dependence of oxygen absorption lines in the near-IR, is investigated in detail. Particularly, the influence of Doppler broadening on the Rayleigh-backscattered signal is evaluated, and a correction method for this effect is presented which requires an accurate estimate of the molecular and particle backscatter contributions; this is noted not to be achievable by the usual lidar inversion techniques. Under realistic conditions, resulting errors may be as high as 10 K. First range-resolved measurements using this technique are presented, using a slightly modified DIAL system originally constructed for water vapor measurements. While much better resolution can certainly be achieved by technical improvements, the errors introduced by the uncertainty of the backscatter contributions will remain and determine the accuracy that can be obtained with this method. 35 refs.

  10. Retrieving 4-dimensional atmospheric boundary layer structure from surface observations and profiles over a single station

    SciTech Connect (OSTI)

    Pu, Zhaoxia

    2015-10-06

    Most routine measurements from climate study facilities, such as the Department of Energy’s ARM SGP site, come from individual sites over a long period of time. While single-station data are very useful for many studies, it is challenging to obtain 3-dimensional spatial structures of atmospheric boundary layers that include prominent signatures of deep convection from these data. The principal objective of this project is to create realistic estimates of high-resolution (~ 1km × 1km horizontal grids) atmospheric boundary layer structure and the characteristics of precipitating convection. These characteristics include updraft and downdraft cumulus mass fluxes and cold pool properties over a region the size of a GCM grid column from analyses that assimilate surface mesonet observations of wind, temperature, and water vapor mixing ratio and available profiling data from single or multiple surface stations. The ultimate goal of the project is to enhance our understanding of the properties of mesoscale convective systems and also to improve their representation in analysis and numerical simulations. During the proposed period (09/15/2011–09/14/2014) and the no-cost extension period (09/15/2014–09/14/2015), significant accomplishments have been achieved relating to the stated goals. Efforts have been extended to various research and applications. Results have been published in professional journals and presented in related science team meetings and conferences. These are summarized in the report.

  11. Cloud Classes and Radiative Heating profiles at the Manus and Nauru Atmospheric Radiation Measurement (ARM) Sites

    SciTech Connect (OSTI)

    Mather, James H.; McFarlane, Sally A.

    2009-10-07

    The Tropical Western Pacific (TWP) is a convective regime; however, the frequency and depth of convection is dependant on dynamical forcing which exhibits variability on a range of temporal scales and also on location within the region. Manus Island, Papua New Guinea lies in the heart of the western Pacific warm pool region and exhibits frequent deep convection much of the time while Nauru, which lies approximately 20 degrees to the East of Manus, lies in a transition zone where the frequency of convection is dependent on the phase of the El Nino/Southern Oscillation. Because of this difference in dynamical regime, the distribution of clouds and the associated radiative heating is quite different at the two sites. Individual cloud types: boundary layer cumulus, thin cirrus, stratiform convective outflow, do occur at both sites – but with different frequencies. In this study we compare cloud profiles and heating profiles for specific cloud types at these two sites using data from the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF). Results of this comparison indicate that, while the frequency of specific cloud types differ between the two sites as one would expect, the characteristics of individual cloud classes are remarkably similar. This information could prove to be very useful for applying tropical ARM data to the broader region.

  12. ARM Airborne Carbon Measurement on the North Slope

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Airborne Carbon Measurement on the North Slope During the summer of 2015, a research campaign gave scientists insight into trends and variability of trace gases in the atmosphere ...

  13. Source profiles for nonmethane organic compounds in the atmosphere of Cairo, Egypt.

    SciTech Connect (OSTI)

    Doskey, P. V.; Fukui, Y.; Sultan, M.; Maghraby, A. A.; Taher, A.; Environmental Research; Cairo Univ.

    1999-07-01

    Profiles of the sources of nonmethane organic compounds (NMOCs) were developed for emissions from vehicles, petroleum fuels (gasoline, liquefied petroleum gas (LPG), and natural gas), a petroleum refinery, a smelter, and a cast iron factory in Cairo, Egypt. More than 100 hydrocarbons and oxygenated hydrocarbons were tentatively identified and quantified. Gasoline-vapor and whole-gasoline profiles could be distinguished from the other profiles by high concentrations of the C{sub 5} and C{sub 6} saturated hydrocarbons. The vehicle emission profile was similar to the whole-gasoline profile, with the exception of the unsaturated and aromatic hydrocarbons, which were present at higher concentrations in the vehicle emission profile. High levels of the C{sub 2}-C{sub 4} saturated hydrocarbons, particularly n-butane, were characteristic features of the petroleum refinery emissions. The smelter and cast iron factory emissions were similar to the refinery emissions; however, the levels of benzene and toluene were greater in the former two sources. The LPG and natural gas emissions contained high concentrations of n-butane and ethane, respectively. The NMOC source profiles for Cairo were distinctly different from profiles for U.S. sources, indicating that NMOC source profiles are sensitive to the particular composition of petroleum fuels that are used in a location.

  14. Two-dimensional profile measurement of plasma parameters in radio frequency-driven argon atmospheric pressure plasma jet

    SciTech Connect (OSTI)

    Seo, B. H.; Kim, J. H.; Kim, D. W.; You, S. J.

    2015-09-15

    The two-dimensional profiles of the electron density, electron temperature, neutral translational temperature, and molecular rotational temperature are investigated in an argon atmospheric pressure plasma jet, which is driven by the radio frequency of 13.56 MHz by means of the laser scattering methods of Thomson, Rayleigh, and Raman. All measured parameters have maximum values at the center of the discharge and decrease toward the plasma edge. The results for the electron temperature profile are contrary to the results for the microwave-driven plasma. From our experimental results, the profiles of the plasma parameters arise from the radial contraction of plasmas and the time averaged profile of the electric field, which is obtained by a microwave simulation performed under identical conditions to the plasma jet. In the case of the neutral temperature, a higher translational temperature than the rotational temperature is measured, and its discrepancy is tentatively explained in terms of the low ion-neutral charge exchange rate and the additional degrees of freedom of the molecules. The description of our experimental results and the underlying physics are addressed in detail.

  15. Proposed ground-based incoherent Doppler lidar with iodine filter discriminator for atmospheric wind profiling

    SciTech Connect (OSTI)

    Liu, Z.S.; Chen, W.B.; Hair, J.W.; She, C.Y.

    1996-12-31

    A new incoherent lidar for measuring atmospheric wind using iodine molecular filter is proposed. A unique feature of the proposed lidar lies in its capability for simultaneous measurement of aerosol mixing ratio, with which the radial wind can be determined uniquely from lidar return. A preliminary laboratory experiment using a dye laser at 589 nm and a rotating wheel has been performed demonstrating the feasibility of the proposed wind measurement.

  16. Effects of overburden, biomass and atmospheric inversions on energy and angular distributions of gamma rays from U, K, Th, and airborne radon sources. Final report

    SciTech Connect (OSTI)

    Rubin, R.M.; Leggett, D.; Wells, M.B.

    1980-12-01

    This report describes a set of radiation transport calculations that were run with the AHISN S/sub n/ discrete ordinates code and a point kernel code to determine the energy, polar angle and height in air distributions of the total and direct gamma-ray flux densities from: (1) uranium sources of 3.2, 200 and 800 ppM in a sandstone orebody covered with biomass densities of 0, 10.2, 20.4, 51.0 and 102.0 kg/m/sup 2/; (2) thorium sources of 12, 25 and 80 ppM in a sandstone ore body covered with biomass densities of 0, 10.2, 20.4, 51.0 and 102.0 kg/m/sup 2/; (3) potassium source (2.5 wt %) in a sandstone ore body covered with biomass densities of 0, 10.2, 20.4, 51.0 and 102.0 kg/m/sup 2/; (4) constant airborne source with height for no inversion and for inversion layer heights of 65.22, 260.32 and 458.43 m; (5) exponentially decreasing airborne source for no inversion and inversion layer heights of 65.22, 260.32 and 458.43 m; (6) 3.2 ppM uranium source in overburden layers of 10.266, 17.110, 26.399 and 32.509 cm thick; (7) 12 ppM thorium source in overburden layers of 10.266, 17.110, 26.399 and 32.509 cm; (8) 2.5 wt % of potassium in overburden layers of 10.266, 17.110, 26.399 and 32.509 cm thick; and (9) 3.2 ppM, 200 ppM, and 800 ppM uranium source in sandstone orebody covered with overburden thicknesses of 10.266, 17.110, 26.399 and 32.509 cm. Gamma-ray emission from the decay of natural uranium, thorium, radon, and potassium are given in a 45-energy group structure applicable to the energy windows used to map the potential uranium ore reserves.

  17. ARM - Field Campaign - ARM Airborne Carbon Measurements (ARM...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 submitted) in the past four years. We will continue our airborne study of atmospheric composition and carbon cycling in the SGP. The goals of this measurement program are to...

  18. Profiling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Profiling your application with Intel VTune at NERSC --- 1 --- VTune background and availability * Focus: O n---node p erformance a nalysis - Sampling a nd t race---based p rofiling - Performance c ounter i ntegra8on - Memory b andwidth a nalysis - On---node p arallelism: vectoriza8on a nd t hreading * Pre---defined a nalysis e xperiments * GUI a nd c ommand---line i nterface ( good f or h eadless collec?on a nd l ater a nalysis) * NERSC a vailability ( as t he vtune m odule) - Edison ( Dual 1

  19. Application of lidar to current atmospheric topics

    SciTech Connect (OSTI)

    Sedlacek, A.J. III

    1996-12-31

    The goal of the conference was to address the various applications of lidar to topics of interest in the atmospheric community. Specifically, with the development of frequency-agile, all solid state laser systems, high-quantum-efficiency detectors, increased computational power along with new and more powerful algorithms, and novel detection schemes, the application of lidar to both old and new problems has expanded. This expansion is evidenced by the contributions to the proceedings, which demonstrate the progress made on a variety of atmospheric remote sensing problems, both theoretically and experimentally. The first session focused on aerosol, ozone, and temperature profile measurements from ground-based units. The second session, Chemical Detection, provided applications of lidar to the detection of atmospheric pollutants. Papers in the third session, Wind and Turbulence Measurements, described the Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) experiments, Doppler techniques for ground-based wind profiling and mesopause radial wind and temperature measurements utilizing a frequency-agile lidar system. The papers in the last two sessions, Recent Advanced in Lidar Technology and Techniques and Advanced Operational Lidars, provided insights into novel approaches, materials, and techniques that would be of value to the lidar community. Papers have been processed separately for inclusion on the data base.

  20. Introductory Remarks: ARM AVP Workshop on Advances in Airborne Instrumentation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Introductory Remarks: ARM AVP Workshop on Advances in Airborne Instrumentation Warren Wiscombe ARM Chief Scientist Brookhaven National Lab ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement Genesis of this workshop * ARM UAV mutated into ARM Aerial Vehicles Program (AVP) in 2006 * Several key people believed strongly that AVP should have an instrument development component * Greg McFarquhar wrote the AVP whitepaper with three goals: - routine flights over ARM sites -

  1. ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign

    Office of Scientific and Technical Information (OSTI)

    Reports (Technical Report) | SciTech Connect ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign Reports Citation Details In-Document Search Title: ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign Reports We report on a 5-year multi-institution and multi-agency airborne study of atmospheric composition and carbon cycling at the Atmospheric Radiation Measurement (ARM) Climate Research Facility's Southern Great Plains (SGP) site, with

  2. Airborne wireless communication systems, airborne communication methods, and communication methods

    SciTech Connect (OSTI)

    Deaton, Juan D.; Schmitt, Michael J.; Jones, Warren F.

    2011-12-13

    An airborne wireless communication system includes circuitry configured to access information describing a configuration of a terrestrial wireless communication base station that has become disabled. The terrestrial base station is configured to implement wireless communication between wireless devices located within a geographical area and a network when the terrestrial base station is not disabled. The circuitry is further configured, based on the information, to configure the airborne station to have the configuration of the terrestrial base station. An airborne communication method includes answering a 911 call from a terrestrial cellular wireless phone using an airborne wireless communication system.

  3. Symposium on Lower Tropospheric Profiling: Needs and Technologies, 1st, Boulder, CO, May 31-June 3, 1988, Papers

    SciTech Connect (OSTI)

    Dabberdt, W.F.; Hardesty, R.M.

    1989-10-01

    Papers on lower tropospheric profiling are presented, covering topics such as horizontal resolution needs for adequate lower tropospheric profiling with atmospheric systems forced by horizontal gradients in surface heating, meteorological data requirements for modeling air quality uncertainties, and kinematic quantities derived from a triangle of VHF Doppler wind profilers. Other topics include the intercomparison of wind measurements from two acoustic Doppler sodars, a laser Doppler radar, and in situ sensors, studying precipitation processes in the troposphere with an FM-CW radar, Doppler lidar measurements of profiles of turbulence and momentum flux, and airborne Doppler lidar measurements of the extended California sea breeze. Additional subjects include DIAL tropospheric ozone measurement using a Nd:YAG laser and the Raman shifting technique, design considerations for a network of thermodynamic profilers, nonredundant frequencies for ground-based microwave radiometric temperature profiling, and the sounding range of a 1-m wavelength radio acoustic sounder.

  4. Airborne radioactive contamination monitoring

    SciTech Connect (OSTI)

    Whitley, C.R.; Adams, J.R.; Bounds, J.A.; MacArthur, D.W.

    1996-03-01

    Current technologies for the detection of airborne radioactive contamination do not provide real-time capability. Most of these techniques are based on the capture of particulate matter in air onto filters which are then processed in the laboratory; thus, the turnaround time for detection of contamination can be many days. To address this shortcoming, an effort is underway to adapt LRAD (Long-Range-Alpha-Detection) technology for real-time monitoring of airborne releases of alpa-emitting radionuclides. Alpha decays in air create ionization that can be subsequently collected on electrodes, producing a current that is proportional to the amount of radioactive material present. Using external fans on a pipe containing LRAD detectors, controlled samples of ambient air can be continuously tested for the presence of radioactive contamination. Current prototypes include a two-chamber model. Sampled air is drawn through a particulate filter and then through the first chamber, which uses an electrostatic filter at its entrance to remove ambient ionization. At its exit, ionization that occurred due to the presence of radon is collected and recorded. The air then passes through a length of pipe to allow some decay of short-lived radon species. A second chamber identical to the first monitors the remaining activity. Further development is necessary on air samples without the use of particulate filtering, both to distinguish ionization that can pass through the initial electrostatic filter on otherwise inert particulate matter from that produced through the decay of radioactive material and to separate both of these from the radon contribution. The end product could provide a sensitive, cost-effective, real-time method of determining the presence of airborne radioactive contamination.

  5. ccpi1-airborne | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Commercial Demonstration of the Airborne Process pdf-580kb (withdrawn) Mustang Clean ... Louis, Missouri Project Fact Sheet Commercial Demonstration of the Airborne Process ...

  6. Airborne agent concentration analysis

    DOE Patents [OSTI]

    Gelbard, Fred

    2004-02-03

    A method and system for inferring airborne contaminant concentrations in rooms without contaminant sensors, based on data collected by contaminant sensors in other rooms of a building, using known airflow interconnectivity data. The method solves a least squares problem that minimizes the difference between measured and predicted contaminant sensor concentrations with respect to an unknown contaminant release time. Solutions are constrained to providing non-negative initial contaminant concentrations in all rooms. The method can be used to identify a near-optimal distribution of sensors within the building, when then number of available sensors is less than the total number of rooms. This is achieved by having a system-sensor matrix that is non-singular, and by selecting that distribution which yields the lowest condition number of all the distributions considered. The method can predict one or more contaminant initial release points from the collected data.

  7. Airborne Wind Turbine

    SciTech Connect (OSTI)

    2010-09-01

    Broad Funding Opportunity Announcement Project: Makani Power is developing an Airborne Wind Turbine (AWT) that eliminates 90% of the mass of a conventional wind turbine and accesses a stronger, more consistent wind at altitudes of near 1,000 feet. At these altitudes, 85% of the country can offer viable wind resources compared to only 15% accessible with current technology. Additionally, the Makani Power wing can be economically deployed in deep offshore waters, opening up a resource which is 4 times greater than the entire U.S. electrical generation capacity. Makani Power has demonstrated the core technology, including autonomous launch, land, and power generation with an 8 meter wingspan, 20 kW prototype. At commercial scale, Makani Power aims to develop a 600 kW, 28 meter wingspan product capable of delivering energy at an unsubsidized cost competitive with coal, the current benchmark for low-cost power.

  8. New Approaches to Differential Mobility Analysis for Airborne Measurements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Approaches to Differential Mobility Analysis for Airborne Measurements Rick Flagan Chemical Engineering and Environmental Science and Engineering California Institute of Technology Pasadena, CA 91125 Support: NSF, ONR, Davidow Foundation Differential Mobility Analysis Air Sample Aerosol Charger/Neutralizer (Atmospheric Pressure Chemical Ionization) Sheath Air Q sh ~ 10 Q a Volumetric flow rate Q s Exhaust Q ex =Q sh Differential Mobility Analyzer DMA (Aerodynamic Analog of Sector Mass

  9. ChEAS Data: The Chequamegon Ecosystem Atmosphere Study

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Davis, Kenneth J. [Penn State

    The Chequamegon Ecosystem-Atmosphere Study (ChEAS) is a multi-organizational research effort studying biosphere/atmosphere interactions within a northern mixed forest in Northern Wisconsin. A primary goal is to understand the processes controlling forest-atmosphere exchange of carbon dioxide and the response of these processes to climate change. Another primary goal is to bridge the gap between canopy-scale flux measurements and the global CO2 flask sampling network. The ChEAS flux towers participate in AmeriFlux, and the region is an EOS-validation site. The WLEF tower is a NOAA-CMDL CO2 sampling site. ChEAS sites are primarily located within or near the Chequamegon-Nicolet National Forest in northern Wisconsin, with one site in the Ottawa National Forest in the upper peninsula of Michigan. Current studies observe forest/atmosphere exchange of carbon dioxide at canopy and regional scales, forest floor respiration, photosynthesis and transpiration at the leaf level and use models to scale to canopy and regional levels. EOS-validation studies quantitatively assess the land cover of the area using remote sensing and conduct extensive ground truthing of new remote sensing data (i.e. ASTER and MODIS). Atmospheric remote sensing work is aimed at understanding atmospheric boundary layer dynamics, the role of entrainment in regulating the carbon dioxide mixing ratio profiles through the lower troposphere, and feedback between boundary layer dynamics and vegetation (especially via the hydrologic cycle). Airborne studies have included include balloon, kite and aircraft observations of the CO2 profile in the troposphere.

  10. ccpi1-airborne | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Commercial Demonstration of the Airborne Process [pdf-580kb] (withdrawn) Mustang Clean Energy, LLC, A Subsidiary of the Peabody Energy, St. Louis, Missouri Project Fact Sheet Commercial Demonstration of the Airborne Process (Withdrawn) [PDF-675KB] (Oct

  11. AIRBORNE RADIATION DETECTOR

    DOE Patents [OSTI]

    Cartmell, T.R.; Gifford, J.F.

    1959-08-01

    An ionization chamber used for measuring the radioactivity of dust present in atmospheric air is described. More particularly. the patent describes a device comprising two concentric open ended, electrically connected cylinders between which is disposed a wire electrcde. A heating source is disposed inside of the cylinder to circulate air through the space between the two cylinders by convective flow. A high voltage electric field between the wire electrcde of the electrically connected cylinder will cause ionization of the air as it passes therethrough.

  12. Airborne Imagery Collections Barrow 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Cherry, Jessica; Crowder, Kerri

    2015-07-20

    The data here are orthomosaics, digital surface models (DSMs), and individual frames captured during low altitude airborne flights in 2013 at the Barrow Environmental Observatory. The orthomosaics, thermal IR mosaics, and DSMs were generated from the individual frames using Structure from Motion techniques.

  13. Ground-based retrievals of optical depth, effective radius, and composition of airborne mineral dust above the Sahel

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    retrievals of optical depth, effective radius, and composition of airborne mineral dust above the Sahel Dave Turner Space Science and Engineering Center University of Wisconsin - Madison Aerosol Working Group Breakout Session 10 March 2008 ARM STM, Norfolk, VA Background and Objectives * Many airborne minerals have absorption features in the thermal infrared (8-13 µm) * These absorption features can be used to determine the "radiatively relevant" mineral composition of atmospheric

  14. Atmospheric Chemistry

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    chemistry Atmospheric Chemistry Atmospheric Chemistry is the study of the composition of the atmosphere, the sources and fates of gases and particles in air, and changes induced by ...

  15. Category:Airborne Gravity Survey | Open Energy Information

    Open Energy Info (EERE)

    Category Edit History Category:Airborne Gravity Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Airborne Gravity Survey...

  16. ccpi-airborne_r2 | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 AIRBORNE PROCESS(tm) COMMERCIAL SCALE DEMONSTRATION PROGRAM MUSTANG CLEAN ENERGY, LLC, a subsidiary of PEABODY ENERGY ST. LOUIS, MISSOURI PROJECT FACT SHEET Airborne Process(tm)...

  17. Geophex Airborne Unmanned Survey System

    SciTech Connect (OSTI)

    Won, I.J.; Keiswetter, D.

    1995-10-01

    The purpose of this effort is to design, construct, and evaluate a portable, remotely-piloted, airborne, geophysical survey system. This non-intrusive system will provide {open_quotes}stand-off{close_quotes} capability to conduct surveys and detect buried objects, structures, and conditions of interest at hazardous locations. This system permits rapid geophysical characterization of hazardous environmental sites. During a survey, the operators remain remote from, but within visual distance of, the site. The sensor system never contacts the Earth, but can be positioned near the ground so that weak geophysical anomalies can be detected.

  18. Airborne soil organic particles generated by precipitation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wang, Bingbing; Harder, Tristan H.; Kelly, Stephen T.; Piens, Dominique S.; China, Swarup; Kovarik, Libor; Keiluweit, Marco; Arey, Bruce W.; Gilles, Mary K.; Laskin, Alexander

    2016-05-02

    Airborne organic particles play a critical role in Earth’s climate1, public health2, air quality3, and hydrological and carbon cycles4. However, sources and formation mechanisms for semi-solid and solid organic particles5 are poorly understood and typically neglected in atmospheric models6. Laboratory evidence suggests that fine particles can be formed from impaction of mineral surfaces by droplets7. Here, we use chemical imaging of particles collected following rain events in the Southern Great Plains, Oklahoma, USA and after experimental irrigation to show that raindrop impaction of soils generates solid organic particles. We find that after rain events, sub-micrometre solid particles, with a chemicalmore » composition consistent with soil organic matter, contributed up to 60% of atmospheric particles. Our irrigation experiments indicate that intensive water impaction is sufficient to cause ejection of airborne soil organic particles from the soil surface. Chemical imaging and micro-spectroscopy analysis of particle physico-chemical properties suggest that these particles may have important impacts on cloud formation and efficiently absorb solar radiation. Lastly, we suggest that raindrop-induced formation of solid organic particles from soils may be a widespread phenomenon in ecosystems such as agricultural systems and grasslands where soils are exposed to strong, episodic precipitation events8.« less

  19. Geophex Airborne Unmanned Survey System

    SciTech Connect (OSTI)

    Won, I.L.; Keiswetter, D.

    1995-12-31

    Ground-based surveys place personnel at risk due to the proximity of buried unexploded ordnance (UXO) items or by exposure to radioactive materials and hazardous chemicals. The purpose of this effort is to design, construct, and evaluate a portable, remotely-piloted, airborne, geophysical survey system. This non-intrusive system will provide stand-off capability to conduct surveys and detect buried objects, structures, and conditions of interest at hazardous locations. During a survey, the operators remain remote from, but within visual distance of, the site. The sensor system never contacts the Earth, but can be positioned near the ground so that weak geophysical anomalies can be detected. The Geophex Airborne Unmanned Survey System (GAUSS) is designed to detect and locate small-scale anomalies at hazardous sites using magnetic and electromagnetic survey techniques. The system consists of a remotely-piloted, radio-controlled, model helicopter (RCH) with flight computer, light-weight geophysical sensors, an electronic positioning system, a data telemetry system, and a computer base-station. The report describes GAUSS and its test results.

  20. Atmospheric Radiation Measurement (ARM) Data from Specific Instruments Used in the ARM Program

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    ARM is known for its comprehensive set of world-class, and in some cases, unique, instruments available for use by the global scientific community. In addition to the ARM instruments, the ARM Climate Research Facility identifies and acquires a wide variety of data including model, satellite, and surface data, from "external instruments," to augment the data being generated within the program. External instruments belong to organizations that are outside of the ARM Program. Field campaign instruments are another source of data used to augment routine observations. The huge archive of ARM data can be organized by instrument categories into twelve "collections:" Aerosols, Airborne Observations, Atmospheric Carbon, Atmospheric Profiling, Cloud Properties, Derived Quantities and Models, Ocean Observations, Radiometric, Satellite Observations, Surface Meteorology, Surface/Subsurface Properties, and Other. Clicking on one of the instrument categories leads to a page that breaks that category down into sub-categories. For example, "Atmospheric Profiling" is broken down into ARM instruments (with 11 subsets), External Instruments (with 6 subsets), and Field Campaign Instruments (with 42 subsets). Each of the subset links, in turn, leads to detailed information pages and links to specific data streams. Users will be requested to create a password, but the data files are free for viewing and downloading.

  1. THE 2011 JUNE 23 STELLAR OCCULTATION BY PLUTO: AIRBORNE AND GROUND OBSERVATIONS

    SciTech Connect (OSTI)

    Person, M. J.; Bosh, A. S.; Levine, S. E.; Gulbis, A. A. S.; Zangari, A. M.; Zuluaga, C. A.; Sallum, S.; Dunham, E. W.; Collins, P.; Bida, T.; Bright, L.; Pasachoff, J. M.; Babcock, B. A.; Pandey, S.; Amrhein, D.; Tholen, D. J.; Taylor, B.; Wolf, J.; Pfueller, E.; Meyer, A.; and others

    2013-10-01

    On 2011 June 23, stellar occultations by both Pluto (this work) and Charon (future analysis) were observed from numerous ground stations as well as the Stratospheric Observatory for Infrared Astronomy (SOFIA). This first airborne occultation observation since 1995 with the Kuiper Airborne Observatory resulted in the best occultation chords recorded for the event, in three visible wavelength bands. The data obtained from SOFIA are combined with chords obtained from the ground at the IRTF, the U.S. Naval Observatory Flagstaff Station, and Leeward Community College to give the detailed state of the Pluto-Charon system at the time of the event with a focus on Pluto's atmosphere. The data show a return to the distinct upper and lower atmospheric regions with a knee or kink in the light curve separating them as was observed in 1988, rather than the smoothly transitioning bowl-shaped light curves of recent years. The upper atmosphere is analyzed by fitting a model to all of the light curves, resulting in a half-light radius of 1288 {+-} 1 km. The lower atmosphere is analyzed using two different methods to provide results under the differing assumptions of particulate haze and a strong thermal gradient as causes for the lower atmospheric diminution of flux. These results are compared with those from past occultations to provide a picture of Pluto's evolving atmosphere. Regardless of which lower atmospheric structure is assumed, results indicate that this part of the atmosphere evolves on short timescales with results changing the light curve structures between 1988 and 2006, and then reverting these changes in 2011 though at significantly higher pressures. Throughout these changes, the upper atmosphere remains remarkably stable in structure, again except for the overall pressure changes. No evidence of onset of atmospheric collapse predicted by frost migration models is seen, and the atmosphere appears to be remaining at a stable pressure level, suggesting it should

  2. Principles for Sampling Airborne Radioactivity from Stacks

    SciTech Connect (OSTI)

    Glissmeyer, John A.

    2010-10-18

    This book chapter describes the special processes involved in sampling the airborne effluents from nuclear faciities. The title of the book is Radioactive Air Sampling Methods. The abstract for this chapter was cleared as PNNL-SA-45941.

  3. ARM-ACME V: ARM Airborne Carbon Measurements V on the North Slope of Alaska Science and Implementation Plan

    SciTech Connect (OSTI)

    Biraud, S

    2015-05-01

    Atmospheric temperatures are warming faster in the Arctic than predicted by climate models. The impact of this warming on permafrost degradation is not well understood, but it is projected to increase carbon decomposition and greenhouse gas production (CO₂ and/or CH₄) by arctic ecosystems. Airborne observations of atmospheric trace gases, aerosols, and cloud properties at the North Slope of Alaska are improving our understanding of global climate, with the goal of reducing the uncertainty in global and regional climate simulations and projections.

  4. Mutagenicity of airborne particles from a nonindustrial town in Italy

    SciTech Connect (OSTI)

    Barale, R.; Zucconi, D.; Giorgelli, F.; Carducci, A.L.; Tonelli, M.; Loprieno, N.

    1989-01-01

    The mutagenic activity of airborne particulate matter collected in Pisa, a small nonindustrial town located in Italy, has been monitored over 1 year using the Ames Salmonella Test. Airborne particulate was collected on fiberglass filters using a Hi-Vol sampler and extracted by sonication and Soxhlet acetone extraction in sequence. TA 98 and TA 100 salmonella strains gave positive results with the great majority of samples. The mutagenicity trend fits with a harmonic regression with a peak during December/January and inversely correlates with the temperature. No correlations were observed with other meteorological conditions such as wind, cloud, rainfall, atmospheric pressure, and humidity. The ratio between mutagenicity/microgram of particulate matter with S9 and that without S9 remains more or less constant regardless of seasonal fluctuations, suggesting that during cold months quantitative increases of mutagens onto particulate matter have probably occurred. The comparison of air mutagenicity in different sites suggests that motor vehicle exhaust fumes are the major source of air pollution. Finally, because of high-traffic volume, air mutagenicity at street level is comparable to that observed in several metropolitan areas all over the world.

  5. Active airborne contamination control using electrophoresis

    SciTech Connect (OSTI)

    Veatch, B.D.

    1994-06-01

    In spite of our best efforts, radioactive airborne contamination continues to be a formidable problem at many of the Department of Energy (DOE) weapons complex sites. For workers that must enter areas with high levels of airborne contamination, personnel protective equipment (PPE) can become highly restrictive, greatly diminishing productivity. Rather than require even more restrictive PPE for personnel in some situations, the Rocky Flats Plant (RFP) is actively researching and developing methods to aggressively combat airborne contamination hazards using electrophoretic technology. With appropriate equipment, airborne particulates can be effectively removed and collected for disposal in one simple process. The equipment needed to implement electrophoresis is relatively inexpensive, highly reliable, and very compact. Once airborne contamination levels are reduced, less PPE is required and a significant cost savings may be realized through decreased waste and maximized productivity. Preliminary ``cold,`` or non-radioactive, testing results at the RFP have shown the technology to be effective on a reasonable scale, with several potential benefits and an abundance of applications.

  6. Profiling atmospheric aerosols | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Brian Grabowski at media@anl.gov or (630) 252-1232. Connect Find an Argonne expert by subject. Follow Argonne on Twitter, Facebook, Google+ and LinkedIn. For inquiries on...

  7. ARM - Field Campaign - ARM Airborne Carbon Measurements (ARM...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsARM Airborne Carbon Measurements (ARM-ACME) ARM Data Discovery Browse Data Related Campaigns ARM Airborne Carbon Measurements (ARM-ACME VI) 2015.10.01, Biraud, AAF ARM...

  8. ccpi-airborne_r2 | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 AIRBORNE PROCESS(tm) COMMERCIAL SCALE DEMONSTRATION PROGRAM MUSTANG CLEAN ENERGY, LLC, a subsidiary of PEABODY ENERGY ST. LOUIS, MISSOURI PROJECT FACT SHEET Airborne Process(tm) Commercial Scale Demonstration Program (Withdrawn) [PDF-675KB] (Oct 2008

  9. Sandia Multispectral Airborne Lidar for UAV Deployment

    SciTech Connect (OSTI)

    Daniels, J.W.; Hargis,Jr. P.J.; Henson, T.D.; Jordan, J.D.; Lang, A.R.; Schmitt, R.L.

    1998-10-23

    Sandia National Laboratories has initiated the development of an airborne system for W laser remote sensing measurements. System applications include the detection of effluents associated with the proliferation of weapons of mass destruction and the detection of biological weapon aerosols. This paper discusses the status of the conceptual design development and plans for both the airborne payload (pointing and tracking, laser transmitter, and telescope receiver) and the Altus unmanned aerospace vehicle platform. Hardware design constraints necessary to maintain system weight, power, and volume limitations of the flight platform are identified.

  10. ARM Airborne Carbon Measurements VI (ACME VI) Science Plan

    SciTech Connect (OSTI)

    Biraud, S

    2015-12-01

    From October 1 through September 30, 2016, the Atmospheric Radiation Measurement (ARM) Aerial Facility will deploy the Cessna 206 aircraft over the Southern Great Plains (SGP) site, collecting observations of trace-gas mixing ratios over the ARM’s SGP facility. The aircraft payload includes two Atmospheric Observing Systems, Inc., analyzers for continuous measurements of CO2 and a 12-flask sampler for analysis of carbon cycle gases (CO2, CO, CH4, N2O, 13CO2, 14CO2, carbonyl sulfide, and trace hydrocarbon species, including ethane). The aircraft payload also includes instrumentation for solar/infrared radiation measurements. This research is supported by the U.S. Department of Energy’s ARM Climate Research Facility and Terrestrial Ecosystem Science Program and builds upon previous ARM Airborne Carbon Measurements (ARM-ACME) missions. The goal of these measurements is to improve understanding of 1) the carbon exchange at the SGP site, 2) how CO2 and associated water and energy fluxes influence radiative forcing, convective processes and CO2 concentrations over the SGP site, and 3) how greenhouse gases are transported on continental scales.

  11. Analyzing Options for Airborne Emergency Wireless Communications

    SciTech Connect (OSTI)

    Michael Schmitt; Juan Deaton; Curt Papke; Shane Cherry

    2008-03-01

    In the event of large-scale natural or manmade catastrophic events, access to reliable and enduring commercial communication systems is critical. Hurricane Katrina provided a recent example of the need to ensure communications during a national emergency. To ensure that communication demands are met during these critical times, Idaho National Laboratory (INL) under the guidance of United States Strategic Command has studied infrastructure issues, concerns, and vulnerabilities associated with an airborne wireless communications capability. Such a capability could provide emergency wireless communications until public/commercial nodes can be systematically restored. This report focuses on the airborne cellular restoration concept; analyzing basic infrastructure requirements; identifying related infrastructure issues, concerns, and vulnerabilities and offers recommended solutions.

  12. Airborne Tactical Free-Electron Laser

    SciTech Connect (OSTI)

    Whitney, Roy; Neil, George

    2007-02-01

    The goal of 100 kilowatts (kW) of directed energy from an airborne tactical platform has proved challenging due to the size and weight of most of the options that have been considered. However, recent advances in Free-Electron Lasers appear to offer a solution along with significant tactical advantages: a nearly unlimited magazine, time structures for periods from milliseconds to hours, radar like functionality, and the choice of the wavelength of light that best meets mission requirements. For an Airborne Tactical Free-Electron Laser (ATFEL) on a platforms such as a Lockheed C-130J-30 and airships, the two most challenging requirements, weight and size, can be met by generating the light at a higher harmonic, aggressively managing magnet weights, managing cryogenic heat loads using recent SRF R&D results, and using FEL super compact design concepts that greatly reduce the number of components. The initial R&D roadmap for achieving an ATFEL is provided in this paper. Performing this R&D is expected to further reduce the weight, size and power requirements for the FELs the Navy is currently developing for shipboard applications, as well as providing performance enhancements for the strategic airborne MW class FELs. The 100 kW ATFEL with its tactical advantages may prove sufficiently attractive for early advancement in the queue of deployed FELs.

  13. Ground-Based and Airborne (PMS 2-D Probe Canister-Mounted) 183 GHz Water

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Vapor Radiometer Ground-Based and Airborne (PMS 2-D Probe Canister-Mounted) 183 GHz Water Vapor Radiometer Pazmany, Andrew ProSensing Inc. Category: Instruments ProSensing Inc. has developed a G-band (183 GHz, 1.5 mm wavelength) water vapor radiometer (GVR) for the measurement of low concentrations of atmospheric water vapor and liquid water. The instrument's precipitable water vapor measurement precision is approximately 0.01 mm in dry (<2 mm vapor column) conditions. The ground-based

  14. Aerosol backscatter measurements at 10. 6 micrometers with airborne and ground-based CO sub 2 Doppler lidars over the Colorado high plains. 1. Lidar intercomparison

    SciTech Connect (OSTI)

    Bowdle, D.A. ); Rothermel, J. ); Vaughan, J.M.; Brown, D.W. ); Post, M.J. )

    1991-03-20

    An airborne continuous wave (CW) focused CO{sub 2} Doppler lidar and a ground-based pulsed CO{sub 2} Doppler lidar were used to obtain seven pairs of comparative measurements of tropospheric aerosol backscatter profiles at 10.6 {mu}m wavelength, near Denver, Colorado, during a 20-day period in July 1982. In regions of uniform backscatter the two lidars show good agreement, with differences usually less than {approximately}50% near 8-km altitude and less than a factor of 2 or 3 elsewhere but with the pulsed lidar often lower than the CW lidar. Near sharp backscatter gradients the two lidars show poorer agreement, with the pulsed lidar usually higher than the CW lidar. Most discrepancies arise from a combination of atmospheric factors and instrument factors, particularly small-scale areal and temporal backscatter heterogeneity above the planetary boundary layer, unusual large-scale vertical backscatter structure in the upper troposphere and lower stratosphere, and differences in the spatial resolution, detection threshold, and noise estimation for the two lidars.

  15. Sandia National Laboratories: Pathfinder Airborne ISR and Synthetic

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Aperture Radar (SAR) Systems Pathfinder Airborne ISR Systems What is SAR? Areas of Expertise Images VideoSAR Publications Facebook Twitter YouTube Flickr RSS Pathfinder Airborne ISR Systems Pathfinder Airborne ISR and Synthetic Aperture Radar (SAR) Systems Tactical Eyes for the Warfighter Tactical Eyes for the Warfighter Actionable Intelligence for the Decision Maker Actionable Intelligence for the Decision Maker All Weather, Persistent, Optical Like All Weather, Persistent, Optical Like

  16. Airborne Electromagnetic Survey At Chena Geothermal Area (Kolker...

    Open Energy Info (EERE)

    Phase I) Notes Fugro, Inc. performed an airborne geophysical survey using the DIGHEM (Digital Helicopter ElectroMagnetics) aircraft over a 937 km2 survey grid. An coplanar...

  17. New Airborne Technology Measures Ocean Surface Currents for Offshore...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and Emergency Rescue Missions New Airborne Technology Measures Ocean Surface Currents for Offshore Energy Production and Emergency Rescue Missions April 11, 2016 - 10:40am ...

  18. Airborne Electromagnetic Survey At Raft River Geothermal Area...

    Open Energy Info (EERE)

    Raft River Geothermal Area (1979) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Airborne Electromagnetic Survey At Raft River Geothermal Area...

  19. Airborne spread of foot-and-mouth disease - model intercomparison

    SciTech Connect (OSTI)

    Gloster, J; Jones, A; Redington, A; Burgin, L; Sorensen, J H; Turner, R; Dillon, M; Hullinger, P; Simpson, M; Astrup, P; Garner, G; Stewart, P; D'Amours, R; Sellers, R; Paton, D

    2008-09-04

    Foot-and-mouth disease is a highly infectious vesicular disease of cloven-hoofed animals caused by foot-and-mouth disease virus. It spreads by direct contact between animals, by animal products (milk, meat and semen), by mechanical transfer on people or fomites and by the airborne route - with the relative importance of each mechanism depending on the particular outbreak characteristics. Over the years a number of workers have developed or adapted atmospheric dispersion models to assess the risk of foot-and-mouth disease virus spread through the air. Six of these models were compared at a workshop hosted by the Institute for Animal Health/Met Office during 2008. A number of key issues emerged from the workshop and subsequent modelling work: (1) in general all of the models predicted similar directions for 'at risk' livestock with much of the remaining differences strongly related to differences in the meteorological data used; (2) determination of an accurate sequence of events is highly important, especially if the meteorological conditions vary substantially during the virus emission period; and (3) differences in assumptions made about virus release, environmental fate, and subsequent infection can substantially modify the size and location of the downwind risk area. Close relationships have now been established between participants, which in the event of an outbreak of disease could be readily activated to supply advice or modelling support.

  20. Inversion of Airborne Contaminants in a Regional Model

    SciTech Connect (OSTI)

    Akcelik, V.; Biros, G.; Draganescu, A.; Ghattas, O.; Hill, J.; van Bloemen Waanders, B.; /SLAC /Pennsylvania U. /Texas U. /Sandia

    2007-01-10

    We are interested in a DDDAS problem of localization of airborne contaminant releases in regional atmospheric transport models from sparse observations. Given measurements of the contaminant over an observation window at a small number of points in space, and a velocity field as predicted for example by a mesoscopic weather model, we seek an estimate of the state of the contaminant at the beginning of the observation interval that minimizes the least squares misfit between measured and predicted contaminant field, subject to the convection-diffusion equation for the contaminant. Once the ''initial'' conditions are estimated by solution of the inverse problem, we issue predictions of the evolution of the contaminant, the observation window is advanced in time, and the process repeated to issue a new prediction, in the style of 4D-Var. We design an appropriate numerical strategy that exploits the spectral structure of the inverse operator, and leads to efficient and accurate resolution of the inverse problem. Numerical experiments verify that high resolution inversion can be carried out rapidly for a well-resolved terrain model of the greater Los Angeles area.

  1. People Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    people profiles People Profiles Featured Profile Hye-Sook Park Pursuing a challenging-and rewarding-career Read More » Henry Hui Henry Hui Tanza Lewis Tanza Lewis Jamie King Jamie King Lisa Burrows Lisa Burrows Jeremy Huckins Jeremy Huckins Ibo Matthews Ibo Matthews Peter Thelin Peter Thelin Susanna Reyes Susana Reyes Jerry Britten Jerry Britten Reggie Drachenberg Reggie Drachenberg Beth Dzenitis Beth Dzenitis Rebecca Dylla-Spears Rebecca Dylla-Spears John Heebner John Heebner Terry Land Terry

  2. National Atmospheric Release Advisory Center (NARAC) Capabilities for Homeland Security

    SciTech Connect (OSTI)

    Sugiyama, G; Nasstrom, J; Baskett, R; Simpson, M

    2010-03-08

    The Department of Energy's National Atmospheric Release Advisory Center (NARAC) provides critical information during hazardous airborne releases as part of an integrated national preparedness and response strategy. Located at Lawrence Livermore National Laboratory, NARAC provides 24/7 tools and expert services to map the spread of hazardous material accidentally or intentionally released into the atmosphere. NARAC graphical products show affected areas and populations, potential casualties, and health effect or protective action guideline levels. LLNL experts produce quality-assured analyses based on field data to assist decision makers and responders. NARAC staff and collaborators conduct research and development into new science, tools, capabilities, and technologies in strategically important areas related to airborne transport and fate modeling and emergency response. This paper provides a brief overview of some of NARAC's activities, capabilities, and research and development.

  3. Atmospheric Science Program Cumulus Humilis Aerosol Processing Study (CHAPS)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Program Cumulus Humilis Aerosol Processing Study (CHAPS) General Description 'Cumulus humilis' is the scientific term used to describe the small fair weather clouds that dot the summer skies over Oklahoma. During the month of June, scientists sponsored by the U.S. Department of Energy's Atmospheric Science Program will use aircraft and ground based instruments to obtain information about the physical and chemical properties of these clouds and the small airborne particles - called aerosols -

  4. Asthmatic responses to airborne acid aerosols

    SciTech Connect (OSTI)

    Ostro, B.D.; Lipsett, M.J.; Wiener, M.B.; Selner, J.C. )

    1991-06-01

    Controlled exposure studies suggest that asthmatics may be more sensitive to the respiratory effects of acidic aerosols than individuals without asthma. This study investigates whether acidic aerosols and other air pollutants are associated with respiratory symptoms in free-living asthmatics. Daily concentrations of hydrogen ion (H+), nitric acid, fine particulates, sulfates and nitrates were obtained during an intensive air monitoring effort in Denver, Colorado, in the winter of 1987-88. A panel of 207 asthmatics recorded respiratory symptoms, frequency of medication use, and related information in daily diaries. We used a multiple regression time-series model to analyze which air pollutants, if any, were associated with health outcomes reported by study participants. Airborne H+ was found to be significantly associated with several indicators of asthma status, including moderate or severe cough and shortness of breath. Cough was also associated with fine particulates, and shortness of breath with sulfates. Incorporating the participants' time spent outside and exercise intensity into the daily measure of exposure strengthened the association between these pollutants and asthmatic symptoms. Nitric acid and nitrates were not significantly associated with any respiratory symptom analyzed. In this population of asthmatics, several outdoor air pollutants, particularly airborne acidity, were associated with daily respiratory symptoms.

  5. CALIOPE and TAISIR airborne experiment platform

    SciTech Connect (OSTI)

    Chocol, C.J.

    1994-07-01

    Between 1950 and 1970, scientific ballooning achieved many new objectives and made a substantial contribution to understanding near-earth and space environments. In 1986, the Lawrence Livermore National Laboratory (LLNL) began development of ballooning technology capable of addressing issues associated with precision tracking of ballistic missiles. In 1993, the Radar Ocean Imaging Project identified the need for a low altitude (1 km) airborne platform for its Radar system. These two technologies and experience base have been merged with the acquisition of government surplus Aerostats by Lawrence Livermore National Laboratory. The CALIOPE and TAISIR Programs can benefit directly from this technology by using the Aerostat as an experiment platform for measurements of the spill facility at NTS.

  6. ARM Airborne Continuous carbon dioxide measurements (Dataset...

    Office of Scientific and Technical Information (OSTI)

    3 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ...

  7. ARM Airborne Continuous carbon dioxide measurements (Dataset...

    Office of Scientific and Technical Information (OSTI)

    1 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ...

  8. Atmospheric Emitted Radiance Interferometer

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gero, Jonathan; Ermold, Brian; Gaustad, Krista; Koontz, Annette; Hackel, Denny; Garcia, Raymond

    2005-01-01

    The atmospheric emitted radiance interferometer (AERI) is a ground-based instrument that measures the downwelling infrared radiance from the Earth’s atmosphere. The observations have broad spectral content and sufficient spectral resolution to discriminate among gaseous emitters (e.g., carbon dioxide and water vapor) and suspended matter (e.g., aerosols, water droplets, and ice crystals). These upward-looking surface observations can be used to obtain vertical profiles of tropospheric temperature and water vapor, as well as measurements of trace gases (e.g., ozone, carbon monoxide, and methane) and downwelling infrared spectral signatures of clouds and aerosols. The AERI is a passive remote sounding instrument, employing a Fourier transform spectrometer operating in the spectral range 3.3–19.2 μm (520–3020 cm-1) at an unapodized resolution of 0.5 cm-1 (max optical path difference of 1 cm). The extended-range AERI (ER-AERI) deployed in dry climates, like in Alaska, have a spectral range of 3.3–25.0 μm (400–3020 cm-1) that allow measurements in the far-infrared region. Typically, the AERI averages views of the sky over a 16-second interval and operates continuously.

  9. ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign Reports

    SciTech Connect (OSTI)

    Biraud, S. C.; Tom, M. S.; Sweeney, C.

    2016-01-01

    We report on a 5-year multi-institution and multi-agency airborne study of atmospheric composition and carbon cycling at the Atmospheric Radiation Measurement (ARM) Climate Research Facility’s Southern Great Plains (SGP) site, with scientific objectives that are central to the carbon-cycle and radiative-forcing goals of the U.S. Global Change Research Program and the North American Carbon Program (NACP). The goal of these measurements is to improve understanding of 1) the carbon exchange of the Atmospheric Radiation Measurement (ARM) SGP region; 2) how CO2 and associated water and energy fluxes influence radiative-forcing, convective processes, and CO2 concentrations over the ARM SGP region, and 3) how greenhouse gases are transported on continental scales.

  10. Status of the Broadband Heating Rate Profile (BBHRP) VAP

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Status of the Broadband Heating Rate Profile (BBHRP) VAP Mlawer, Eli Atmospheric & Environmental Research, Inc. Clough, Shepard Atmospheric and Environmental Research Delamere, Jennifer Atmospheric and Environmental Research, Inc. Miller, Mark Brookhaven National Laboratory Johnson, Karen Brookhaven National Laboratory Troyan, David Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Shippert, Timothy Pacific Northwest National Laboratory Long, Chuck Pacific

  11. ARM Airborne Continuous carbon dioxide measurements

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Biraud, Sebastien

    2013-03-26

    The heart of the AOS CO2 Airborne Rack Mounted Analyzer System is the AOS Manifold. The AOS Manifold is a nickel coated aluminum analyzer and gas processor designed around two identical nickel-plated gas cells, one for reference gas and one for sample gas. The sample and reference cells are uniquely designed to provide optimal flushing efficiency. These cells are situated between a black-body radiation source and a photo-diode detection system. The AOS manifold also houses flow meters, pressure sensors and control valves. The exhaust from the analyzer flows into a buffer volume which allows for precise pressure control of the analyzer. The final piece of the analyzer is the demodulator board which is used to convert the DC signal generated by the analyzer into an AC response. The resulting output from the demodulator board is an averaged count of CO2 over a specified hertz cycle reported in volts and a corresponding temperature reading. The system computer is responsible for the input of commands and therefore works to control the unit functions such as flow rate, pressure, and valve control.The remainder of the system consists of compressors, reference gases, air drier, electrical cables, and the necessary connecting plumbing to provide a dry sample air stream and reference air streams to the AOS manifold.

  12. ARM Airborne Continuous carbon dioxide measurements

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Biraud, Sebastien

    The heart of the AOS CO2 Airborne Rack Mounted Analyzer System is the AOS Manifold. The AOS Manifold is a nickel coated aluminum analyzer and gas processor designed around two identical nickel-plated gas cells, one for reference gas and one for sample gas. The sample and reference cells are uniquely designed to provide optimal flushing efficiency. These cells are situated between a black-body radiation source and a photo-diode detection system. The AOS manifold also houses flow meters, pressure sensors and control valves. The exhaust from the analyzer flows into a buffer volume which allows for precise pressure control of the analyzer. The final piece of the analyzer is the demodulator board which is used to convert the DC signal generated by the analyzer into an AC response. The resulting output from the demodulator board is an averaged count of CO2 over a specified hertz cycle reported in volts and a corresponding temperature reading. The system computer is responsible for the input of commands and therefore works to control the unit functions such as flow rate, pressure, and valve control.The remainder of the system consists of compressors, reference gases, air drier, electrical cables, and the necessary connecting plumbing to provide a dry sample air stream and reference air streams to the AOS manifold.

  13. Airborne measured analytic signal for UXO detection

    SciTech Connect (OSTI)

    Gamey, T.J.; Holladay, J.S. [Aerodat Inc., Mississauga, Ontario (Canada); Mahler, R. [Industrieanlagen Betriebsgesellschaft, Deutschland (Australia)

    1997-10-01

    The Altmark Tank Training Range north of Haldensleben, Germany has been in operation since WWI. Weapons training and testing has included cavalry, cannon, small arms, rail guns, and tank battalions. Current plans are to convert the area to a fully digital combat training facility. Instead of using blank or dummy ordnance, hits will be registered with lasers and computers. Before this can happen, the 25,000 ha must be cleared of old debris. In support of this cleanup operation, Aerodat Inc., in conjunction with IABG of Germany, demonstrated a new high resolution magnetic survey technique involving the measurement of 3-component magnetic gradient data. The survey was conducted in May 1996, and covered 500 ha in two blocks. The nominal line spacing was 10 m, and the average sensor altitude was 7 m. The geologic column consisted of sands over a sedimentary basin. Topographic relief was generally flat with approximately 3 m rolling dunes and occasional man-made features such as fox holes, bunkers, tank traps and reviewing stands. Trees were sparse and short (2-3 metres) due to frequent burn off and tank activity. As such, this site was nearly ideal for low altitude airborne surveying.

  14. ARM - Campaign Instrument - s-band-profiler

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govInstrumentss-band-profiler Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : NOAA S-band (2835 Mhz) Profiler (S-BAND-PROFILER) Instrument Categories Atmospheric Profiling, Cloud Properties Campaigns CRYSTAL-FACE [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2002.06.26 - 2002.08.01 Midlatitude Continental Convective Clouds Experiment (MC3E) [ Download Data ] Southern Great Plains, 2011.04.22 -

  15. MPI Profiling

    SciTech Connect (OSTI)

    Han, D K; Jones, T R

    2005-02-11

    The Message Passing Interface (MPI) is the de facto message-passing standard for massively parallel programs. It is often the case that application performance is a crucial factor, especially for solving grand challenge problems. While there have been many studies on the scalability of applications, there have not been many focusing on the specific types of MPI calls being made and their impact on application performance. Using a profiling tool called mpiP, a large spectrum of parallel scientific applications were surveyed and their performance results analyzed.

  16. Coordinated Airborne Studies in the Tropics (CAST) Field Campaign...

    Office of Scientific and Technical Information (OSTI)

    of Manchester and Cambridge and the UK National Centre for Atmospheric Science (NCAS). ... Research Council, University of Cambridge, UK National Centre for Atmospheric ...

  17. Search for: "atmospheric radiation measurement" | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    Accepted Manuscript Journal Name: Subject: ... December 2014 , American Meteorological Society Airborne soil organic ... Here, we use chemical imaging of particles ...

  18. ARM - Atmospheric Heat Budget

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Atmospheric Heat Budget shows where the atmospheric heat energy comes from and where it goes. Practically all this energy ultimately comes from the sun in the form of the ...

  19. Atmospheric Radiation Measurement Program

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM 2003 Tom Ackerman Chief Scientist Tom Ackerman Chief Scientist ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement WARNING! WARNING! Today is April 1 But that has NO bearing on this message Today is April 1 But that has NO bearing on this message ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement Two Topics Two Topics * Status of ARM (quick overview) * Science plan - ARM in the next 5 years * Status of ARM (quick overview) * Science plan -

  20. Regional Atmospheric Transport Code for Hanford Emission Tracking, Version 2(RATCHET2)

    SciTech Connect (OSTI)

    Ramsdell, James V.; Rishel, Jeremy P.

    2006-07-01

    This manual describes the atmospheric model and computer code for the Atmospheric Transport Module within SAC. The Atmospheric Transport Module, called RATCHET2, calculates the time-integrated air concentration and surface deposition of airborne contaminants to the soil. The RATCHET2 code is an adaptation of the Regional Atmospheric Transport Code for Hanford Emissions Tracking (RATCHET). The original RATCHET code was developed to perform the atmospheric transport for the Hanford Environmental Dose Reconstruction Project. Fundamentally, the two sets of codes are identical; no capabilities have been deleted from the original version of RATCHET. Most modifications are generally limited to revision of the run-specification file to streamline the simulation process for SAC.

  1. Airborne Dust Cloud Measurements at the INL National Security Test Range

    SciTech Connect (OSTI)

    Michael L. Abbott; Norm Stanley; Larry Radke; Charles Smeltzer

    2007-09-01

    On July 11, 2007, a surface, high-explosive test (<20,000 lb TNT-equivalent) was carried out at the National Security Test Range (NSTR) on the Idaho National Laboratory (INL) Site. Aircraft-mounted rapid response (1-sec) particulate monitors were used to measure airborne PM-10 concentrations directly in the dust cloud and to develop a PM-10 emission factor that could be used for subsequent tests at the NSTR. The blast produced a mushroom-like dust cloud that rose approximately 2,500–3,000 ft above ground level, which quickly dissipated (within 5 miles of the source). In general, the cloud was smaller and less persistence than expected, or that might occur in other areas, likely due to the coarse sand and subsurface conditions that characterize the immediate NSTR area. Maximum short time-averaged (1-sec) PM-10 concentrations at the center of the cloud immediately after the event reached 421 µg m-3 but were rapidly reduced (by atmospheric dispersion and fallout) to near background levels (~10 µg m-3) after about 15 minutes. This occurred well within the INL Site boundary, about 8 km (5 miles) from the NSTR source. These findings demonstrate that maximum concentrations in ambient air beyond the INL Site boundary (closest is 11.2 km from NSTR) from these types of tests would be well within the 150 µg m-3 24-hour National Ambient Air Quality Standards for PM-10. Aircraft measurements and geostatistical techniques were used to successfully quantify the initial volume (1.64E+9 m3 or 1.64 km3) and mass (250 kg) of the PM-10 dust cloud, and a PM-10 emission factor (20 kg m-3 crater soil volume) was developed for this specific type of event at NSTR. The 250 kg of PM-10 mass estimated from this experiment is almost seven-times higher than the 36 kg estimated for the environmental assessment (DOE-ID 2007) using available Environmental Protection Agency (EPA 1995) emission factors. This experiment demonstrated that advanced aircraft-mounted instruments operated by

  2. Community Atmosphere Model

    Energy Science and Technology Software Center (OSTI)

    2004-10-18

    The Community Atmosphere Model (CAM) is an atmospheric general circulation model that solves equations for atmospheric dynamics and physics. CAM is an outgrowth of the Community Climate Model at the National Center for Atmospheric Research (NCAR) and was developed as a joint collaborative effort between NCAR and several DOE laboratories, including LLNL. CAM contains several alternative approaches for advancing the atmospheric dynamics. One of these approaches uses a finite-volume method originally developed by personnel atmore » NASNGSFC, We have developed a scalable version of the finite-volume solver for massively parallel computing systems. FV-CAM is meant to be used in conjunction with the Community Atmosphere Model. It is not stand-alone.« less

  3. Sandia National Laboratories: Pathfinder Airborne ISR Systems: Areas of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Expertise Pathfinder Airborne ISR Systems Areas of Expertise Capabilities Capabilities Sandia's Intelligence, Surveillance and Reconnaissance (ISR) breadth of capabilities include everything from mission planning to system design and integration to data collection and analysis. Hardware Hardware Sandia has over 30 years of experience in the development of Synthetic Aperture Radar (SAR) and other Intelligence, Surveillance and Reconnaissance (ISR) hardware components. Modes and Frequencies

  4. Sandia National Laboratories: Pathfinder Airborne ISR Systems: Areas of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Expertise: Capabilities Capabilities Capabilities Sandia continues to advance the next generation of Synthetic Aperture Radar (SAR) and Intelligence, Surveillance and Reconnaissance (ISR) systems with highly integrated, miniaturized, and fully mission-capable radar systems to impact tactical Surveillance and Reconnaissance (S&R) capabilities Sandia has a broad range of engineering, testing and analysis capabilities for Airborne Intelligence, Surveillance and Reconnaissance (ISR) systems.

  5. Real-Time Airborne Particle Analyzer - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Find More Like This Return to Search Real-Time Airborne Particle Analyzer Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary Particle analysis is useful for determining chemical compositions in a wide range of disciplines, from ascertaining the source of a petroleum sample to duplicating a fragrance. The technique is appealing to a broad cross section of analytical sciences, but its applications are limited because, for existing equipment, sample size

  6. Atmosphere to Electrons

    Broader source: Energy.gov (indexed) [DOE]

    ... Wind Forecast Improvement Project The Wind Forecast Improvement Project (WFIP) is a public private partnership consortium including DOE, the National Oceanic and Atmospheric ...

  7. Final Technical Report for Interagency Agreement No. DE-SC0005453 “Characterizing Aerosol Distributions, Types, and Optical and Microphysical Properties using the NASA Airborne High Spectral Resolution Lidar (HSRL) and the Research Scanning Polarimeter (RSP)”

    SciTech Connect (OSTI)

    Hostetler, Chris; Ferrare, Richard

    2015-01-13

    Measurements of the vertical profile of atmospheric aerosols and aerosol optical and microphysical characteristics are required to: 1) determine aerosol direct and indirect radiative forcing, 2) compute radiative flux and heating rate profiles, 3) assess model simulations of aerosol distributions and types, and 4) establish the ability of surface and space-based remote sensors to measure the indirect effect. Consequently the ASR program calls for a combination of remote sensing and in situ measurements to determine aerosol properties and aerosol influences on clouds and radiation. As part of our previous DOE ASP project, we deployed the NASA Langley airborne High Spectral Resolution Lidar (HSRL) on the NASA B200 King Air aircraft during major field experiments in 2006 (MILAGRO and MaxTEX), 2007 (CHAPS), 2009 (RACORO), and 2010 (CalNex and CARES). The HSRL provided measurements of aerosol extinction (532 nm), backscatter (532 and 1064 nm), and depolarization (532 and 1064 nm). These measurements were typically made in close temporal and spatial coincidence with measurements made from DOE-funded and other participating aircraft and ground sites. On the RACORO, CARES, and CalNEX missions, we also deployed the NASA Goddard Institute for Space Studies (GISS) Research Scanning Polarimeter (RSP). RSP provided intensity and degree of linear polarization over a broad spectral and angular range enabling column-average retrievals of aerosol optical and microphysical properties. Under this project, we analyzed observations and model results from RACORO, CARES, and CalNex and accomplished the following objectives. 1. Identified aerosol types, characterize the vertical distribution of the aerosol types, and partition aerosol optical depth by type, for CARES and CalNex using HSRL data as we have done for previous missions. 2. Investigated aerosol microphysical and macrophysical properties using the RSP. 3. Used the aerosol backscatter and extinction profiles measured by the HSRL

  8. Micro-Electron Spin Resonance for Airborne Soot Measurement | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Micro-Electron Spin Resonance for Airborne Soot Measurement Micro-Electron Spin Resonance for Airborne Soot Measurement A real-time method for airborne soot concentration measurement using a miniaturized electron spin resonance sensor is presented. deer08_white.pdf (1.09 MB) More Documents & Publications Certification Package Status Table_12_11_08.xls Vehicle Technologies Office Merit Review 2014: Development of Radio Frequency Diesel Particulate Filter Sensor and Controls for

  9. ARM - Measurement - Atmospheric temperature

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Measurements associated with the Aerosol Observing System UAV-MET-OTTER : Meteorology from UAV-Twin Otter MWRP : Microwave Radiometer Profiler LBTM-MINNIS : Minnis ...

  10. ARM - Measurement - Atmospheric pressure

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Measurements associated with the Aerosol Observing System UAV-MET-OTTER : Meteorology from UAV-Twin Otter MWRP : Microwave Radiometer Profiler VISST : Minnis Cloud ...

  11. ARM - Measurement - Atmospheric turbulence

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for Environment Prediction Global Forecast System RUC : Rapid Update Cycle Model Data WPDN : Wind Profiler Demo Network Field Campaign Instruments AIRCRAFTCABIN : Aircraft Cabin ...

  12. DOE-HDBK-3010-94; DOE Handbook Airborne Release Fractions/Rates...

    Broader source: Energy.gov (indexed) [DOE]

    10-94 December 1994 CHANGE NOTICE NO. 1 March 2000 DOE HANDBOOK AIRBORNE RELEASE FRACTIONSRATES AND RESPIRABLE FRACTIONS FOR NONREACTOR NUCLEAR FACILITIES Volume I - Analysis of ...

  13. DOE/SC-ARM-15-032 ARM-ACME V: ARM Airborne Carbon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Airborne Carbon Measurements Project BC black carbon CARVE NASA Carbon in Arctic ... observations to regional scales, but focused on Alaska as a whole (Figure 2 and Figure 3). ...

  14. DOE-HDBK-3010-94; Airborne Release Fractions/Rates and Respirable...

    Office of Environmental Management (EM)

    3010-94 December 1994 DOE HANDBOOK AIRBORNE RELEASE FRACTIONSRATES AND RESPIRABLE ... Nozzle arrangement in the system is in accordance with NFPA standards and will blanket a ...

  15. Airborne gamma-ray spectrometer and magnetometer survey: Peoria, Decater, Belleville Quadrangles, (IL). Final report

    SciTech Connect (OSTI)

    Not Available

    1981-01-01

    An airborne combined radiometric and magnetic survey was performed for the Department of Energy (DOE) over the area covered by the Peoria, Decatur, and Belleville, 1:250,000 National Topographic Map Series (NTMS), quadrangle maps. The survey was part of DOE's National Uranium Resource Evaluation (NURE) program. Data were collected by a helicopter equipped with a gamma-ray spectrometer with a large crystal volume, and with a high sensitivity proton procession magnetometer. The radiometric system was calibrated at the Walker Field Calibration pads and the Lake Mead Dynamic Test Range. Data quality was ensured during the survey by daily test flights and equipment checks. Radiometric data were corrected for live time, aircraft and equipment background, cosmic background, atmospheric radon, Compton scatter, and altitude dependence. The corrected data were statistically evaluated, plotted, and contoured to produce anomaly maps based on the radiometric response of individual geological units. The anomalies were interpreted and an interpretation map produced. Volume I contains a description of the systems used in the survey, a discussion of the calibration of the systems, the data collection procedures, the data processing procedures, the data presentation, the interpretation rationale, and the interpretation methodology. A separate Volume II for each quadrangle contains the data displays and the interpretation results.

  16. ARM - Field Campaign - ASSIST: Atmospheric Sounder Spectrometer for

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Infrared Spectral Technology govCampaignsASSIST: Atmospheric Sounder Spectrometer for Infrared Spectral Technology ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ASSIST: Atmospheric Sounder Spectrometer for Infrared Spectral Technology 2008.07.08 - 2008.07.18 Lead Scientist : Michael Howard For data sets, see below. Abstract Goals of assist were to intercompare radiance spectra and profile retrievals

  17. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  18. Ensemble Atmospheric Dispersion Modeling

    SciTech Connect (OSTI)

    Addis, R.P.

    2002-06-24

    Prognostic atmospheric dispersion models are used to generate consequence assessments, which assist decision-makers in the event of a release from a nuclear facility. Differences in the forecast wind fields generated by various meteorological agencies, differences in the transport and diffusion models, as well as differences in the way these models treat the release source term, result in differences in the resulting plumes. Even dispersion models using the same wind fields may produce substantially different plumes. This talk will address how ensemble techniques may be used to enable atmospheric modelers to provide decision-makers with a more realistic understanding of how both the atmosphere and the models behave.

  19. Analyzing source apportioned methane in northern California during Discover-AQ-CA using airborne measurements and model simulations

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Johnson, Matthew S.; Yates, Emma L.; Iraci, Laura T.; Loewenstein, Max; Tadić, Jovan M.; Wecht, Kevin J.; Jeong, Seongeun; Fischer, Marc L.

    2014-12-01

    This study analyzes source apportioned methane (CH4) emissions and atmospheric mixing ratios in northern California during the Discover-AQ-CA field campaign using airborne measurement data and model simulations. Source apportioned CH4 emissions from the Emissions Database for Global Atmospheric Research (EDGAR) version 4.2 were applied in the 3-D chemical transport model GEOS-Chem and analyzed using airborne measurements taken as part of the Alpha Jet Atmospheric eXperiment over the San Francisco Bay Area (SFBA) and northern San Joaquin Valley (SJV). During the time period of the Discover-AQ-CA field campaign EDGAR inventory CH4 emissions were ~5.30 Gg day –1 (Gg = 1.0 ×more » 109 g) (equating to ~1.90 × 103 Gg yr–1) for all of California. According to EDGAR, the SFBA and northern SJV region contributes ~30% of total CH4 emissions from California. Source apportionment analysis during this study shows that CH4 mixing ratios over this area of northern California are largely influenced by global emissions from wetlands and local/global emissions from gas and oil production and distribution, waste treatment processes, and livestock management. Model simulations, using EDGAR emissions, suggest that the model under-estimates CH4 mixing ratios in northern California (average normalized mean bias (NMB) = –5.2% and linear regression slope = 0.20). The largest negative biases in the model were calculated on days when large amounts of CH4 were measured over local emission sources and atmospheric CH4 mixing ratios reached values >2.5 parts per million. Sensitivity emission studies conducted during this research suggest that local emissions of CH4 from livestock management processes are likely the primary source of the negative model bias. These results indicate that a variety, and larger quantity, of measurement data needs to be obtained and additional research is necessary to better quantify source apportioned CH4 emissions in California.« less

  20. Analyzing source apportioned methane in northern California during Discover-AQ-CA using airborne measurements and model simulations

    SciTech Connect (OSTI)

    Johnson, Matthew S.; Yates, Emma L.; Iraci, Laura T.; Loewenstein, Max; Tadić, Jovan M.; Wecht, Kevin J.; Jeong, Seongeun; Fischer, Marc L.

    2014-12-01

    This study analyzes source apportioned methane (CH4) emissions and atmospheric mixing ratios in northern California during the Discover-AQ-CA field campaign using airborne measurement data and model simulations. Source apportioned CH4 emissions from the Emissions Database for Global Atmospheric Research (EDGAR) version 4.2 were applied in the 3-D chemical transport model GEOS-Chem and analyzed using airborne measurements taken as part of the Alpha Jet Atmospheric eXperiment over the San Francisco Bay Area (SFBA) and northern San Joaquin Valley (SJV). During the time period of the Discover-AQ-CA field campaign EDGAR inventory CH4 emissions were ~5.30 Gg day –1 (Gg = 1.0 × 109 g) (equating to ~1.90 × 103 Gg yr–1) for all of California. According to EDGAR, the SFBA and northern SJV region contributes ~30% of total CH4 emissions from California. Source apportionment analysis during this study shows that CH4 mixing ratios over this area of northern California are largely influenced by global emissions from wetlands and local/global emissions from gas and oil production and distribution, waste treatment processes, and livestock management. Model simulations, using EDGAR emissions, suggest that the model under-estimates CH4 mixing ratios in northern California (average normalized mean bias (NMB) = –5.2% and linear regression slope = 0.20). The largest negative biases in the model were calculated on days when large amounts of CH4 were measured over local emission sources and atmospheric CH4 mixing ratios reached values >2.5 parts per million. Sensitivity emission studies conducted during this research suggest that local emissions of CH4 from livestock management processes are likely the primary source of the negative model bias. These results indicate that a variety, and larger quantity, of measurement data needs to be

  1. Prospecting by sampling and analysis of airborne particulates and gases

    DOE Patents [OSTI]

    Sehmel, G.A.

    1984-05-01

    A method is claimed for prospecting by sampling airborne particulates or gases at a ground position and recording wind direction values at the time of sampling. The samples are subsequently analyzed to determine the concentrations of a desired material or the ratios of the desired material to other identifiable materials in the collected samples. By comparing the measured concentrations or ratios to expected background data in the vicinity sampled, one can select recorded wind directions indicative of the upwind position of the land-based source of the desired material.

  2. Chemical detection using the airborne thermal infrared imaging spectrometer (TIRIS)

    SciTech Connect (OSTI)

    Gat, N.; Subramanian, S.; Sheffield, M.; Erives, H.; Barhen, J.

    1997-04-01

    A methodology is described for an airborne, downlooking, longwave infrared imaging spectrometer based technique for the detection and tracking of plumes of toxic gases. Plumes can be observed in emission or absorption, depending on the thermal contrast between the vapor and the background terrain. While the sensor is currently undergoing laboratory calibration and characterization, a radiative exchange phenomenology model has been developed to predict sensor response and to facilitate the sensor design. An inverse problem model has also been developed to obtain plume parameters based on sensor measurements. These models, the sensors, and ongoing activities are described.

  3. Atmospheric optical calibration system

    DOE Patents [OSTI]

    Hulstrom, R.L.; Cannon, T.W.

    1988-10-25

    An atmospheric optical calibration system is provided to compare actual atmospheric optical conditions to standard atmospheric optical conditions on the basis of aerosol optical depth, relative air mass, and diffuse horizontal skylight to global horizontal photon flux ratio. An indicator can show the extent to which the actual conditions vary from standard conditions. Aerosol scattering and absorption properties, diffuse horizontal skylight to global horizontal photon flux ratio, and precipitable water vapor determined on a real-time basis for optical and pressure measurements are also used to generate a computer spectral model and for correcting actual performance response of a photovoltaic device to standard atmospheric optical condition response on a real-time basis as the device is being tested in actual outdoor conditions. 7 figs.

  4. Atmospheric optical calibration system

    DOE Patents [OSTI]

    Hulstrom, Roland L.; Cannon, Theodore W.

    1988-01-01

    An atmospheric optical calibration system is provided to compare actual atmospheric optical conditions to standard atmospheric optical conditions on the basis of aerosol optical depth, relative air mass, and diffuse horizontal skylight to global horizontal photon flux ratio. An indicator can show the extent to which the actual conditions vary from standard conditions. Aerosol scattering and absorption properties, diffuse horizontal skylight to global horizontal photon flux ratio, and precipitable water vapor determined on a real-time basis for optical and pressure measurements are also used to generate a computer spectral model and for correcting actual performance response of a photovoltaic device to standard atmospheric optical condition response on a real-time basis as the device is being tested in actual outdoor conditions.

  5. Quality assurance program plan for radionuclide airborne emissions monitoring

    SciTech Connect (OSTI)

    Boom, R.J.

    1995-03-01

    This Quality Assurance Program Plan identifies quality assurance program requirements and addresses the various Westinghouse Hanford Company organizations and their particular responsibilities in regards to sample and data handling of airborne emissions. The Hanford Site radioactive airborne emissions requirements are defined in National Emissions Standards for Hazardous Air Pollutants (NESHAP), Code of Federal Regulations, Title 40, Part 61, Subpart H (EPA 1991a). Reporting of the emissions to the US Department of Energy is performed in compliance with requirements of US Department of Energy, Richland Operations Office Order 5400.1, General Environmental Protection Program (DOE-RL 1988). This Quality Assurance Program Plan is prepared in accordance with and to the requirements of QAMS-004/80, Guidelines and Specifications for Preparing Quality Assurance Program Plans (EPA 1983). Title 40 CFR Part 61, Appendix B, Method 114, Quality Assurance Methods (EPA 1991b) specifies the quality assurance requirements and that a program plan should be prepared to meet the requirements of this regulation. This Quality Assurance Program Plan identifies NESHAP responsibilities and how the Westinghouse Hanford Company Environmental, Safety, Health, and Quality Assurance Division will verify that the methods are properly implemented.

  6. Strategic Environmental Research and Development Program: Atmospheric Remote Sensing and Assessment Program -- Final Report. Part 1: The lower atmosphere

    SciTech Connect (OSTI)

    Tooman, T.P.

    1997-01-01

    This report documents work done between FY91 and FY95 for the lower atmospheric portion of the joint Department of Defense (DoD) and Department of Energy (DOE) Atmospheric Remote Sensing and Assessment Program (ARSAP) within the Strategic Environmental Research and Development Program (SERDP). The work focused on (1) developing new measurement capabilities and (2) measuring atmospheric heating in a well-defined layer and then relating it to cloud properties an water vapor content. Seven new instruments were develop3ed for use with Unmanned Aerospace Vehicles (UAVs) as the host platform for flux, radiance, cloud, and water vapor measurements. Four major field campaigns were undertaken to use these new as well as existing instruments to make critically needed atmospheric measurements. Scientific results include the profiling of clear sky fluxes from near surface to 14 km and the strong indication of cloudy atmosphere absorption of solar radiation considerably greater than predicted by extant models.

  7. Satellite data sets for the atmospheric radiation measurement (ARM) program

    SciTech Connect (OSTI)

    Shi, L.; Bernstein, R.L.

    1996-04-01

    This abstract describes the type of data obtained from satellite measurements in the Atmospheric Radiation Measurement (ARM) program. The data sets have been widely used by the ARM team to derive cloud-top altitude, cloud cover, snow and ice cover, surface temperature, water vapor, and wind, vertical profiles of temperature, and continuoous observations of weather needed to track and predict severe weather.

  8. Fermilab Today | University Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    University Profiles Archive Subscribe | Contact Fermilab Today | Archive | Classifieds Search GO More than 2,000 scientists worldwide work with Fermilab. In the United States,...

  9. Profiling Your Application

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    sure to focus on only the main computation of your application (omitting initialization steps which may otherwise clutter the profiling results). Further, it may be valuable at...

  10. Initial assessment of an airborne Ku-band polarimetric SAR.

    SciTech Connect (OSTI)

    Raynal, Ann Marie; Doerry, Armin Walter

    2013-02-01

    Polarimetric synthetic aperture radar (SAR) has been used for a variety of dual-use research applications since the 1940's. By measuring the direction of the electric field vector from radar echoes, polarimetry may enhance an analyst's understanding of scattering effects for both earth monitoring and tactical surveillance missions. Polarimetry may provide insight into surface types, materials, or orientations for natural and man-made targets. Polarimetric measurements may also be used to enhance the contrast between scattering surfaces such as man-made objects and their surroundings. This report represents an initial assessment of the utility of, and applications for, polarimetric SAR at Ku-band for airborne or unmanned aerial systems.

  11. Method for measuring the size distribution of airborne rhinovirus

    SciTech Connect (OSTI)

    Russell, M.L.; Goth-Goldstein, R.; Apte, M.G.; Fisk, W.J.

    2002-01-01

    About 50% of viral-induced respiratory illnesses are caused by the human rhinovirus (HRV). Measurements of the concentrations and sizes of bioaerosols are critical for research on building characteristics, aerosol transport, and mitigation measures. We developed a quantitative reverse transcription-coupled polymerase chain reaction (RT-PCR) assay for HRV and verified that this assay detects HRV in nasal lavage samples. A quantitation standard was used to determine a detection limit of 5 fg of HRV RNA with a linear range over 1000-fold. To measure the size distribution of HRV aerosols, volunteers with a head cold spent two hours in a ventilated research chamber. Airborne particles from the chamber were collected using an Andersen Six-Stage Cascade Impactor. Each stage of the impactor was analyzed by quantitative RT-PCR for HRV. For the first two volunteers with confirmed HRV infection, but with mild symptoms, we were unable to detect HRV on any stage of the impactor.

  12. ARM - Field Campaign - ARM Airborne Carbon Measurements IV (ARM-ACME IV)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsARM Airborne Carbon Measurements IV (ARM-ACME IV) Campaign Links Final Campaign Report ARM Data Discovery Browse Data Related Campaigns ARM Airborne Carbon Measurements (ARM-ACME) 2008.10.01, Biraud, AAF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ARM Airborne Carbon Measurements IV (ARM-ACME IV) 2013.10.01 - 2015.09.30 Lead Scientist : Sebastien Biraud For data sets, see below. Abstract ARM ACME observations and

  13. ARM - Field Campaign - Co-ordinated Airborne Studies in the Tropics - CAST

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsCo-ordinated Airborne Studies in the Tropics - CAST Campaign Links Field Campaign Report ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Co-ordinated Airborne Studies in the Tropics - CAST 2014.01.01 - 2014.02.28 Lead Scientist : Geraint Vaughan For data sets, see below. Abstract CAST (Co-ordinated Airborne Studies in the Tropics) was a research project funded by the UK's Natural Environment

  14. Coordinated Airborne Studies in the Tropics (CAST) Field Campaign...

    Office of Scientific and Technical Information (OSTI)

    ... believe that this may be the result of a change in air-mass origin arriving at the site. ... 2014. "Rapid transport of East Asian pollution to the deep tropics," Atmospheric ...

  15. Differential atmospheric tritium sampler

    DOE Patents [OSTI]

    Griesbach, Otto A.; Stencel, Joseph R.

    1990-01-01

    An atmospheric tritium sampler is provided which uses a carrier gas comprised of hydrogen gas and a diluting gas, mixed in a nonexplosive concentration. Sample air and carrier gas are drawn into and mixed in a manifold. A regulator meters the carrier gas flow to the manifold. The air sample/carrier gas mixture is pulled through a first moisture trap which adsorbs water from the air sample. The mixture then passes through a combustion chamber where hydrogen gas in the form of H.sub.2 or HT is combusted into water. The manufactured water is transported by the air stream to a second moisture trap where it is adsorbed. The air is then discharged back into the atmosphere by means of a pump.

  16. Differential atmospheric tritium sampler

    DOE Patents [OSTI]

    Griesbach, O.A.; Stencel, J.R.

    1987-10-02

    An atmospheric tritium sampler is provided which uses a carrier gas comprised of hydrogen gas and a diluting gas, mixed in a nonexplosive concentration. Sample air and carrier gas are drawn into and mixed in a manifold. A regulator meters the carrier gas flow to the manifold. The air sample/carrier gas mixture is pulled through a first moisture trap which adsorbs water from the air sample. The moisture then passes through a combustion chamber where hydrogen gas in the form of H/sub 2/ or HT is combusted into water. The manufactured water is transported by the air stream to a second moisture trap where it is adsorbed. The air is then discharged back into the atmosphere by means of a pump.

  17. Airborne release fractions/rates and respirable fractions for nonreactor nuclear facilities. Volume 2, Appendices

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    This document contains compiled data from the DOE Handbook on Airborne Release Fractions/Rates and Respirable Fractions for Nonreactor Nuclear facilities. Source data and example facilities utilized, such as the Plutonium Recovery Facility, are included.

  18. AIRBORNE, OPTICAL REMOTE SENSNG OF METHANE AND ETHANE FOR NATURAL GAS PIPELINE LEAK DETECTION

    SciTech Connect (OSTI)

    Jerry Myers

    2005-04-15

    Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. The scope of the work involved designing and developing an airborne, optical remote sensor capable of sensing methane and, if possible, ethane for the detection of natural gas pipeline leaks. Flight testing using a custom dual wavelength, high power fiber amplifier was initiated in February 2005. Ophir successfully demonstrated the airborne system, showing that it was capable of discerning small amounts of methane from a simulated pipeline leak. Leak rates as low as 150 standard cubic feet per hour (scf/h) were detected by the airborne sensor.

  19. The Effect of Airborne Contaminants on Fuel Cell Performance & Durability |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy The Effect of Airborne Contaminants on Fuel Cell Performance & Durability The Effect of Airborne Contaminants on Fuel Cell Performance & Durability Presented at the Department of Energy Fuel Cell Projects Kickoff Meeting, September 1 - October 1, 2009 rocheleau_uhawaii_kickoff.pdf (340.84 KB) More Documents & Publications Supporting a Hawaii Hydrogen Economy Effects of Impurities of Fuel Cell Performance and Durability Effect of System and Air Contaminants on

  20. Correlation between Asian Dust and Specific Radioactivities of Fission Products Included in Airborne Samples in Tokushima, Shikoku Island, Japan, Due to the Fukushima Nuclear Accident

    SciTech Connect (OSTI)

    Sakama, M.; Nagano, Y.; Kitade, T.; Shikino, O.; Nakayama, S.

    2014-06-15

    Radioactive fission product {sup 131}I released from the Fukushima Daiichi Nuclear Power Plants (FD-NPP) was first detected on March 23, 2011 in an airborne aerosol sample collected at Tokushima, Shikoku Island, located in western Japan. Two other radioactive fission products, {sup 134}Cs and {sup 137}Cs were also observed in a sample collected from April 2 to 4, 2011. The maximum specific radioactivities observed in this work were about 2.5 to 3.5 mBq×m{sup -3} in a airborne aerosol sample collected on April 6. During the course of the continuous monitoring, we also made our first observation of seasonal Asian Dust and those fission products associated with the FDNPP accident concurrently from May 2 to 5, 2011. We found that the specific radioactivities of {sup 134}Cs and {sup 137}Cs decreased drastically only during the period of Asian Dust. And also, it was found that this trend was very similar to the atmospheric elemental concentration (ng×m{sup -3}) variation of stable cesium ({sup 133}Cs) quantified by elemental analyses using our developed ICP-DRC-MS instrument.

  1. CLOUD BASE SIGNATURE IN TRANSMISSION SPECTRA OF EXOPLANET ATMOSPHERES

    SciTech Connect (OSTI)

    Vahidinia, Sanaz; Cuzzi, Jeffrey N.; Marley, Mark; Fortney, Jonathan

    2014-07-01

    We present an analytical model for the transmission spectrum of a transiting exoplanet, showing that a cloud base can produce an observable inflection point in the spectrum. The wavelength and magnitude of the inflection can be used to break the degeneracy between the atmospheric pressure and the abundance of the main cloud material, however, the abundance still depends on cloud particle size. An observed inflection also provides a specific point on the atmospheric P-T profile, giving us a ''thermometer'' to directly validate or rule out postulated cloud species. We apply the model to the transit spectrum of HD 189733b.

  2. Analyzing Atmospheric Neutrino Oscillations

    SciTech Connect (OSTI)

    Escamilla, J.; Ernst, D. J.; Latimer, D. C.

    2007-10-26

    We provide a pedagogic derivation of the formula needed to analyze atmospheric data and then derive, for the subset of the data that are fully-contained events, an analysis tool that is quantitative and numerically efficient. Results for the full set of neutrino oscillation data are then presented. We find the following preliminary results: 1.) the sub-dominant approximation provides reasonable values for the best fit parameters for {delta}{sub 32}, {theta}{sub 23}, and {theta}{sub 13} but does not quantitatively provide the errors for these three parameters; 2.) the size of the MSW effect is suppressed in the sub-dominant approximation; 3.) the MSW effect reduces somewhat the extracted error for {delta}{sub 32}, more so for {theta}{sub 23} and {theta}{sub 13}; 4.) atmospheric data alone constrains the allowed values of {theta}{sub 13} only in the sub-dominant approximation, the full three neutrino calculations requires CHOOZ to get a clean constraint; 5.) the linear in {theta}{sub 13} terms are not negligible; and 6.) the minimum value of {theta}{sub 13} is found to be negative, but at a statistically insignificant level.

  3. Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology

    SciTech Connect (OSTI)

    Dunagan, Stephen; Johnson, Roy; Zavaleta, Jhony; Russell, P. B.; Schmid, Beat; Flynn, Connor J.; Redemann, Jens; Shinozuka, Yohei; Livingston, J.; Segal Rozenhaimer, Michal

    2013-08-06

    The Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) combines airborne sun tracking and sky scanning with diffraction spectroscopy, to improve knowledge of atmospheric constituents and their links to air-pollution/climate. Direct beam hyper-spectral measurement of optical depth improves retrievals of gas constituents and determination of aerosol properties. Sky scanning enhances retrievals of aerosol type and size distribution. 4STAR measurements will tighten the closure between satellite and ground-based measurements. 4STAR incorporates a modular sun-tracking/ sky-scanning optical head with fiber optic signal transmission to rack mounted spectrometers, permitting miniaturization of the external optical head, and future detector evolution. Technical challenges include compact optical collector design, radiometric dynamic range and stability, and broad spectral coverage. Test results establishing the performance of the instrument against the full range of operational requirements are presented, along with calibration, engineering flight test, and scientific field campaign data and results.

  4. Using Atmosphere-Forest Measurements To Examine The Potential For Reduced Downwind Dose

    SciTech Connect (OSTI)

    Viner, B.

    2015-10-13

    A 2-D dispersion model was developed to address how airborne plumes interact with the forest at Savannah River Site. Parameters describing turbulence and mixing of the atmosphere within and just above the forest were estimated using measurements of water vapor or carbon dioxide concentration made at the Aiken AmeriFlux tower for a range of stability and seasonal conditions. Stability periods when the greatest amount of mixing of an airborne plume into the forest were found for 1) very unstable environments, when atmospheric turbulence is usually at a maximum, and 2) very stable environments, when the plume concentration at the forest top is at a maximum and small amounts of turbulent mixing can move a substantial portion of the plume into the forest. Plume interactions with the forest during stable periods are of particular importance because these conditions are usually considered the worst-case scenario for downwind effects from a plume. The pattern of plume mixing into the forest was similar during the year except during summer when the amount of plume mixed into the forest was nearly negligible for all but stable periods. If the model results indicating increased deposition into the forest during stable conditions can be confirmed, it would allow for a reduction in the limitations that restrict facility operations while maintaining conservative estimates for downwind effects. Continuing work is planned to confirm these results as well as estimate specific deposition velocity values for use in toolbox models used in regulatory roles.

  5. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Office of Scientific and Technical Information (OSTI)

    Title: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly ... Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites ...

  6. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary's energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  7. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary`s energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  8. Detonation Wave Profile

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2015-12-14

    The Zel’dovich-von Neumann-Doering (ZND) profile of a detonation wave is derived. Two basic assumptions are required: i. An equation of state (EOS) for a partly burned explosive; P(V, e, λ). ii. A burn rate for the reaction progress variable; d/dt λ = R(V, e, λ). For a steady planar detonation wave the reactive flow PDEs can be reduced to ODEs. The detonation wave profile can be determined from an ODE plus algebraic equations for points on the partly burned detonation loci with a specified wave speed. Furthermore, for the CJ detonation speed the end of the reaction zone is sonic. A solution to the reactive flow equations can be constructed with a rarefaction wave following the detonation wave profile. This corresponds to an underdriven detonation wave, and the rarefaction is know as a Taylor wave.

  9. 3D model generation using an airborne swarm

    SciTech Connect (OSTI)

    Clark, R. A.; Punzo, G.; Macdonald, M.; Dobie, G.; MacLeod, C. N.; Summan, R.; Pierce, G.; Bolton, G.

    2015-03-31

    Using an artificial kinematic field to provide co-ordination between multiple inspection UAVs, the authors herein demonstrate full 3D modelling capability based on a photogrammetric system. The operation of the system is demonstrated by generating a full 3D surface model of an intermediate level nuclear waste storage drum. Such drums require periodic inspection to ensure that drum distortion or corrosion is carefully monitored. Performing this inspection with multiple airborne platforms enables rapid inspection of structures that are inaccessible to on-surface remote vehicles and are in human-hazardous environments. A three-dimensional surface-meshed model of the target can then be constructed in post-processing through photogrammetry analysis of the visual inspection data. The inspection environment uses a tracking system to precisely monitor the position of each aerial vehicle within the enclosure. The vehicles used are commercially available Parrot AR. Drone quadcopters, controlled through a computer interface connected over an IEEE 802.11n (WiFi) network, implementing a distributed controller for each vehicle. This enables the autonomous and distributed elements of the control scheme to be retained, while alleviating the vehicles of the control algorithms computational load. The control scheme relies on a kinematic field defined with the target at its centre. This field defines the trajectory for all the drones in the volume relative to the central target, enabling the drones to circle the target at a set radius while avoiding drone collisions. This function enables complete coverage along the height of the object, which is assured by transitioning to another inspection band only after completing circumferential coverage. Using a swarm of vehicles, the time until complete coverage can be significantly reduced.

  10. ORISE: Climate and Atmospheric Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Oak Ridge Institute for Science Education Climate and Atmospheric Research Conducting climate research focused on issues of national and global importance is one of the primary objectives of the Atmospheric Turbulence and Diffusion Division (ATDD)-a field division of the National Oceanic and Atmospheric Administration. ORAU partners with ATDD-and in collaboration with scientists and engineers from Oak Ridge National Laboratory (ORNL) as well as government agencies, universities, and private

  11. ARM - Sources of Atmospheric Carbon

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sources of Atmospheric Carbon Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Sources of Atmospheric Carbon Atmospheric carbon represented a steady state system, where influx equaled outflow, before the Industrial Revolution. Currently, it is no longer a steady state system because the

  12. Low profile thermite igniter

    DOE Patents [OSTI]

    Halcomb, Danny L.; Mohler, Jonathan H.

    1991-03-05

    A thermite igniter/heat source comprising a housing, high-density thermite, and low-density thermite. The housing has a relatively low profile and can focus energy by means of a torch-like ejection of hot reaction products and is externally ignitable.

  13. Profile for Gautam Gupta

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Gautam Gupta Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Gautam Gupta Gautam Gupta Email Phone (505) 606-0852 Capabilities Biosciences Biomaterials Chemical Science Biological chemistry Inorganic chemistry Organic chemistry Physical chemistry Energetic materials Mass spectrometers Materials chemistry

  14. Profile for Hisato Yamaguchi

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Hisato Yamaguchi Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Hisato Yamaguchi Hisato Yamaguchi Email Phone (505) 664-0382 Capabilities Chemical Science Energetic materials Separation technologies Materials chemistry Carbon nanotubes Nanostructured quantum confined materials Materials Materials by design

  15. ARESE (ARM Enhanced Shortwave Experiment) Science Plan [Atmospheric Radiation Program

    SciTech Connect (OSTI)

    Valero, F.P.J.; Schwartz, S.E.; Cess, R.D.; Ramanathan, V.; Collins, W.D.; Minnis, P.; Ackerman, T.P.; Vitko, J.; Tooman, T.P.

    1995-09-27

    Several recent studies have indicated that cloudy atmospheres may absorb significantly more solar radiation than currently predicted by models. The magnitude of this excess atmospheric absorption, is about 50% more than currently predicted and would have major impact on our understanding of atmospheric heating. Incorporation of this excess heating into existing general circulation models also appears to ameliorate some significant shortcomings of these models, most notably a tendency to overpredict the amount of radiant energy going into the oceans and to underpredict the tropopause temperature. However, some earlier studies do not show this excess absorption and an underlying physical mechanism that would give rise to such absorption has yet to be defined. Given the importance of this issue, the Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) program is sponsoring the ARM Enhanced Shortwave Experiment (ARESE) to study the absorption of solar radiation by clear and cloudy atmospheres. The experimental results will be compared with model calculations. Measurements will be conducted using three aircraft platforms (ARM-UAV Egrett, NASA ER-2, and an instrumented Twin Otter), as well as satellites and the ARM central and extended facilities in North Central Oklahoma. The project will occur over a four week period beginning in late September, 1995. Spectral broadband, partial bandpass, and narrow bandpass (10nm) solar radiative fluxes will be measured at different altitudes and at the surface with the objective to determine directly the magnitude and spectral characteristics of the absorption of shortwave radiation by the atmosphere (clear and cloudy). Narrow spectral channels selected to coincide with absorption by liquid water and ice will help in identifying the process of absorption of radiation. Additionally, information such as water vapor profiles, aerosol optical depths, cloud structure and ozone profiles, needed to use as input in radiative

  16. Polyport atmospheric gas sampler

    DOE Patents [OSTI]

    Guggenheim, S. Frederic

    1995-01-01

    An atmospheric gas sampler with a multi-port valve which allows for multi, sequential sampling of air through a plurality of gas sampling tubes mounted in corresponding gas inlet ports. The gas sampler comprises a flow-through housing which defines a sampling chamber and includes a gas outlet port to accommodate a flow of gases through the housing. An apertured sample support plate defining the inlet ports extends across and encloses the sampling chamber and supports gas sampling tubes which depend into the sampling chamber and are secured across each of the inlet ports of the sample support plate in a flow-through relation to the flow of gases through the housing during sampling operations. A normally closed stopper means mounted on the sample support plate and operatively associated with each of the inlet ports blocks the flow of gases through the respective gas sampling tubes. A camming mechanism mounted on the sample support plate is adapted to rotate under and selectively lift open the stopper spring to accommodate a predetermined flow of gas through the respective gas sampling tubes when air is drawn from the housing through the outlet port.

  17. Atmospheric Emitted Radiance Interferometer (AERI) Handbook

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gero, Jonathan; Hackel, Denny; Garcia, Raymond

    2005-01-01

    The atmospheric emitted radiance interferometer (AERI) is a ground-based instrument that measures the downwelling infrared radiance from the Earth’s atmosphere. The observations have broad spectral content and sufficient spectral resolution to discriminate among gaseous emitters (e.g., carbon dioxide and water vapor) and suspended matter (e.g., aerosols, water droplets, and ice crystals). These upward-looking surface observations can be used to obtain vertical profiles of tropospheric temperature and water vapor, as well as measurements of trace gases (e.g., ozone, carbon monoxide, and methane) and downwelling infrared spectral signatures of clouds and aerosols.The AERI is a passive remote sounding instrument, employing a Fourier transform spectrometer operating in the spectral range 3.3–19.2 μm (520–3020 cm-1) at an unapodized resolution of 0.5 cm-1 (max optical path difference of 1 cm). The extended-range AERI (ER-AERI) deployed in dry climates, like in Alaska, have a spectral range of 3.3–25.0 μm (400–3020 cm-1) that allow measurements in the far-infrared region. Typically, the AERI averages views of the sky over a 16-second interval and operates continuously.

  18. ARM - Field Campaign - ARM Airborne Carbon Measurements (ARM-ACME V)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    V) Campaign Links Science Plan Images Field Campaign Report ARM Data Discovery Browse Data Related Campaigns ARM Airborne Carbon Measurements (ARM-ACME) 2008.10.01, Biraud, AAF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : ARM Airborne Carbon Measurements (ARM-ACME V) 2015.06.01 - 2015.09.15 Lead Scientist : Sebastien Biraud For data sets, see below. Abstract The ARM Aerial Facility Gulfstream-159 will alternate between four flights

  19. ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Airborne HSRL and

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    RSP Measurements govCampaignsTwo-Column Aerosol Project (TCAP): Airborne HSRL and RSP Measurements ARM Data Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Two-Column Aerosol Project (TCAP): Airborne HSRL and RSP Measurements 2012.07.01 - 2012.07.31 Lead Scientist : Chris Hostetler For data sets, see below. Abstract The deployment of the

  20. Effluent monitoring Quality Assurance Project Plan for radioactive airborne emissions data. Revision 2

    SciTech Connect (OSTI)

    Frazier, T.P.

    1995-12-01

    This Quality Assurance Project Plan addresses the quality assurance requirements for compiling Hanford Site radioactive airborne emissions data. These data will be reported to the U.S. Environmental Protection Agency, the US Department of Energy, and the Washington State Department of Health. Effluent Monitoring performs compliance assessments on radioactive airborne sampling and monitoring systems. This Quality Assurance Project Plan is prepared in compliance with interim guidelines and specifications. Topics include: project description; project organization and management; quality assurance objectives; sampling procedures; sample custody; calibration procedures; analytical procedures; monitoring and reporting criteria; data reduction, verification, and reporting; internal quality control; performance and system audits; corrective actions; and quality assurance reports.

  1. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, R.D.

    1983-10-11

    Disclosed is a temperature profile detector shown as a tubular enclosure surrounding an elongated electrical conductor having a plurality of meltable conductive segments surrounding it. Duplicative meltable segments are spaced apart from one another along the length of the enclosure. Electrical insulators surround these elements to confine molten material from the segments in bridging contact between the conductor and a second electrical conductor, which might be the confining tube. The location and rate of growth of the resulting short circuits between the two conductors can be monitored by measuring changes in electrical resistance between terminals at both ends of the two conductors. Additional conductors and separate sets of meltable segments operational at differing temperatures can be monitored simultaneously for measuring different temperature profiles. 8 figs.

  2. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  3. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  4. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  5. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  6. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  7. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  8. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  9. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3

  10. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  11. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  12. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  13. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31

  14. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  15. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  16. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235

  17. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3

  18. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6

  19. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total

  20. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8

  1. Compare Gene Profiles

    SciTech Connect (OSTI)

    2014-05-31

    Compare Gene Profiles (CGP) performs pairwise gene content comparisons among a relatively large set of related bacterial genomes. CGP performs pairwise BLAST among gene calls from a set of input genome and associated annotation files, and combines the results to generate lists of common genes, unique genes, homologs, and genes from each genome that differ substantially in length from corresponding genes in the other genomes. CGP is implemented in Python and runs in a Linux environment in serial or parallel mode.

  2. Temperature-profile detector

    DOE Patents [OSTI]

    Not Available

    1981-01-29

    Temperature profiles at elevated temperature conditions are monitored by use of an elongated device having two conductors spaced by the minimum distance required to normally maintain an open circuit between them. The melting point of one conductor is selected at the elevated temperature being detected, while the melting point of the other is higher. As the preselected temperature is reached, liquid metal will flow between the conductors creating short circuits which are detectable as to location.

  3. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, Richard D.

    1983-01-01

    Temperature profiles at elevated temperature conditions are monitored by use of an elongated device having two conductors spaced by the minimum distance required to normally maintain an open circuit between them. The melting point of one conductor is selected at the elevated temperature being detected, while the melting point of the other is higher. As the preselected temperature is reached, liquid metal will flow between the conductors, creating short circuits which are detectable as to location.

  4. LANL Data Profile

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Data Profile 2012-2013 Total: 10,407 Quick Facts FY2013 Operating Budget ..... $1.95 billion Operating costs 54% NNSA Weapons Programs 12% Work for other agencies 10% Nonproliferation programs 9% Environmental management 6% Safeguards and security 5% DOE Office of Science 4% Energy and related programs Workforce Demographics Average Age: 46 67% male, 33% female 45% ethnic minorities 67% university degrees -28% undergraduate degrees -17% graduate degrees -22% PhD degrees Capital/Construction

  5. Aerosol Extinction Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Thermodynamic Responses to Uncertainty in Aerosol Extinction Profiles For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Aerosol radiative effects are of great importance for climate simulations over South Asia. For quantifying aerosol direct radiative effect, aerosol optical depth (AOD) and single scattering albedo (SSA) are often compared with observations. These comparisons have revealed large AOD underestimation and

  6. State Nuclear Profiles 2010

    U.S. Energy Information Administration (EIA) Indexed Site

    Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing

  7. State electricity profiles, March 1999

    SciTech Connect (OSTI)

    1999-03-01

    Due to the role electricity plays in the Nation`s economic and social well-being, interested parties have been following the electric power industry`s transition by keeping abreast of the restructuring and deregulation events that are taking place almost daily. Much of the attention centers around the States and how they are restructuring the business of electricity supply within their respective jurisdictions. This report is designed to profile each State and the District of Columbia regarding not only their current restructuring activities, but also their electricity generation and concomitant statistics from 1986 through 1996. Included are data on a number of subject areas including generating capability, generation, revenues, fuel use, capacity factor for nuclear plants, retail sales, and pollutant emissions. Although the Energy Information Administration (EIA) publishes this type of information, there is a lack of a uniform overview for each individual State. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. In addition to basic statistics in tables and graphs, a textual section is provided for each State, discussing some of the points relative to electricity production that are noteworthy in, or unique to, that particular State. Also, each State is ranked according to the place it holds, as compared to the rest of the states, in various relevant areas, such as its average price of electricity per kilowatthour, its population, and its emissions of certain atmospheric pollutants. The final chapter covers the Nation as a whole. 451 figs., 520 tabs.

  8. Data Assimilation J. S. Van Baelen(a) National Center for Atmospheric Research(b)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    S. Van Baelen(a) National Center for Atmospheric Research(b) Boulder, CO 80307-3000 Introduction of wind profilers to provide accurate estimates of the momentum and heat fluxes might be their most important contribution yet to the field of atmospheric dynamic studies, especially when those measurements can be ingested into circulation models. In particular, flux measurements in the planetary boundary layer can provide critically needed information on the pel turbulent structures and their effect

  9. Surface profiling interferometer

    DOE Patents [OSTI]

    Takacs, Peter Z.; Qian, Shi-Nan

    1989-01-01

    The design of a long-trace surface profiler for the non-contact measurement of surface profile, slope error and curvature on cylindrical synchrotron radiation (SR) mirrors. The optical system is based upon the concept of a pencil-beam interferometer with an inherent large depth-of-field. The key feature of the optical system is the zero-path-difference beam splitter, which separates the laser beam into two colinear, variable-separation probe beams. A linear array detector is used to record the interference fringe in the image, and analysis of the fringe location as a function of scan position allows one to reconstruct the surface profile. The optical head is mounted on an air bearing slide with the capability to measure long aspheric optics, typical of those encountered in SR applications. A novel feature of the optical system is the use of a transverse "outrigger" beam which provides information on the relative alignment of the scan axis to the cylinder optic symmetry axis.

  10. Simulation of atmospheric temperature effects on cosmic ray muon flux

    SciTech Connect (OSTI)

    Tognini, Stefano Castro; Gomes, Ricardo Avelino

    2015-05-15

    The collision between a cosmic ray and an atmosphere nucleus produces a set of secondary particles, which will decay or interact with other atmosphere elements. This set of events produced a primary particle is known as an extensive air shower (EAS) and is composed by a muonic, a hadronic and an electromagnetic component. The muonic flux, produced mainly by pions and kaons decays, has a dependency with the atmosphere’s effective temperature: an increase in the effective temperature results in a lower density profile, which decreases the probability of pions and kaons to interact with the atmosphere and, consequently, resulting in a major number of meson decays. Such correlation between the muon flux and the atmosphere’s effective temperature was measured by a set of experiments, such as AMANDA, Borexino, MACRO and MINOS. This phenomena can be investigated by simulating the final muon flux produced by two different parameterizations of the isothermal atmospheric model in CORSIKA, where each parameterization is described by a depth function which can be related to the muon flux in the same way that the muon flux is related to the temperature. This research checks the agreement among different high energy hadronic interactions models and the physical expected behavior of the atmosphere temperature effect by analyzing a set of variables, such as the height of the primary interaction and the difference in the muon flux.

  11. Atmospheric Radiation Measurement Radiative Atmospheric Divergence using ARM Mobile

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Radiative Atmospheric Divergence using ARM Mobile Facility, GERB, and AMMA Stations (RADAGAST) Beginning in January 2006, the ARM Mobile Facility (AMF) began supporting RADAGAST to provide the first well-sampled direct esti- mates of the energy balance across the atmosphere. The experiment is part of an ongoing international study of the West African monsoon system and Saharan dust storms. Stationed outside the Niger Meteo- rological Office at the Niamey International Airport, the AMF is located

  12. Terrain-Responsive Atmospheric Code

    Energy Science and Technology Software Center (OSTI)

    1991-11-20

    The Terrain-Responsive Atmospheric Code (TRAC) is a real-time emergency response modeling capability designed to advise Emergency Managers of the path, timing, and projected impacts from an atmospheric release. TRAC evaluates the effects of both radiological and non-radiological hazardous substances, gases and particulates. Using available surface and upper air meteorological information, TRAC realistically treats complex sources and atmospheric conditions, such as those found in mountainous terrain. TRAC calculates atmospheric concentration, deposition, and dose for more thanmore » 25,000 receptor locations within 80 km of the release point. Human-engineered output products support critical decisions on the type, location, and timing of protective actions for workers and the public during an emergency.« less

  13. (Chemistry of the global atmosphere)

    SciTech Connect (OSTI)

    Marland, G.

    1990-09-27

    The traveler attended the conference The Chemistry of the Global Atmosphere,'' and presented a paper on the anthropogenic emission of carbon dioxide (CO{sub 2}) to the atmosphere. The conference included meetings of the International Global Atmospheric Chemistry (IGAC) programme, a core project of the International Geosphere/Biosphere Programme (IGBP) and the traveler participated in meetings on the IGAC project Development of Global Emissions Inventories'' and agreed to coordinate the working group on CO{sub 2}. Papers presented at the conference focused on the latest developments in analytical methods, modeling and understanding of atmospheric CO{sub 2}, CO, CH{sub 4}, N{sub 2}O, SO{sub 2}, NO{sub x}, NMHCs, CFCs, and aerosols.

  14. Atmospheric science and power production

    SciTech Connect (OSTI)

    Randerson, D.

    1984-07-01

    This is the third in a series of scientific publications sponsored by the US Atomic Energy Commission and the two later organizations, the US Energy Research and Development Adminstration, and the US Department of Energy. The first book, Meteorology and Atomic Energy, was published in 1955; the second, in 1968. The present volume is designed to update and to expand upon many of the important concepts presented previously. However, the present edition draws heavily on recent contributions made by atmospheric science to the analysis of air quality and on results originating from research conducted and completed in the 1970s. Special emphasis is placed on how atmospheric science can contribute to solving problems relating to the fate of combustion products released into the atmosphere. The framework of this book is built around the concept of air-quality modeling. Fundamentals are addressed first to equip the reader with basic background information and to focus on available meteorological instrumentation and to emphasize the importance of data management procedures. Atmospheric physics and field experiments are described in detail to provide an overview of atmospheric boundary layer processes, of how air flows around obstacles, and of the mechanism of plume rise. Atmospheric chemistry and removal processes are also detailed to provide fundamental knowledge on how gases and particulate matter can be transformed while in the atmosphere and how they can be removed from the atmosphere. The book closes with a review of how air-quality models are being applied to solve a wide variety of problems. Separate analytics have been prepared for each chapter.

  15. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arkansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Arkansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,754 30 Electric utilities 11,526 23 IPP & CHP 3,227 29 Net generation (megawatthours) 61,592,137 24 Electric utilities 48,752,895 18 IPP & CHP 12,839,241 28 Emissions Sulfur dioxide (short tons) 89,528 15 Nitrogen oxide (short tons) 47,048 20 Carbon dioxide (thousand metric tons) 37,289 23 Sulfur dioxide (lbs/MWh) 2.9 9 Nitrogen oxide

  16. Environmental profile of Paraguay

    SciTech Connect (OSTI)

    Not Available

    1985-12-01

    The social, cultural, physical, and economic dimensions of Paraguay's environment are analyzed to identify main environmental features and problems and to recommend specific actions. The environmental profile presents an overview of Paraguay's ethno-historic and anthropological background, present-day society, and the impact of pollution. Descriptions are presented of: the legal and institutional aspects of environmental policy; the structure and performance of the economy, with focus on the primary and energy sectors; physical resources (climate, geological, mineral, soil, and water resources); and biological resources (vegetation, wild animal life, protected areas, and fish resources).

  17. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Idaho Electricity Profile 2014 Table 1. 2014 Summary statistics (Idaho) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,944 42 Electric utilities 3,413 37 IPP & CHP 1,531 39 Net generation (megawatthours) 15,184,417 43 Electric utilities 9,628,016 37 IPP & CHP 5,556,400 39 Emissions Sulfur dioxide (short tons) 5,777 42 Nitrogen oxide (short tons) 20,301 37 Carbon dioxide (thousand metric tons) 1,492 49 Sulfur dioxide (lbs/MWh) 0.8 36 Nitrogen oxide

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oregon Electricity Profile 2014 Table 1. 2014 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,884 27 Electric utilities 11,175 25 IPP & CHP 4,709 19 Net generation (megawatthours) 60,119,907 26 Electric utilities 44,565,239 24 IPP & CHP 15,554,668 21 Emissions Sulfur dioxide (short tons) 10,595 39 Nitrogen oxide (short tons) 14,313 42 Carbon dioxide (thousand metric tons) 8,334 40 Sulfur dioxide (lbs/MWh) 0.4 42 Nitrogen

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Electricity Profile 2014 Table 1. 2014 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,810 49 Electric utilities 8 50 IPP & CHP 1,803 38 Net generation (megawatthours) 6,281,748 49 Electric utilities 10,670 48 IPP & CHP 6,271,078 36 Emissions Sulfur dioxide (short tons) 100 49 Nitrogen oxide (short tons) 1,224 49 Carbon dioxide (thousand metric tons) 2,566 48 Sulfur dioxide (lbs/MWh) 0.0 48 Nitrogen oxide

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    South Dakota Electricity Profile 2014 Table 1. 2014 Summary statistics (South Dakota) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 3,948 45 Electric utilities 3,450 36 IPP & CHP 499 48 Net generation (megawatthours) 10,995,240 45 Electric utilities 9,344,872 38 IPP & CHP 1,650,368 48 Emissions Sulfur dioxide (short tons) 13,852 35 Nitrogen oxide (short tons) 10,638 44 Carbon dioxide (thousand metric tons) 3,093 47 Sulfur dioxide (lbs/MWh) 2.5 15

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Washington Electricity Profile 2014 Table 1. 2014 Summary statistics (Washington) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 30,949 10 Electric utilities 27,376 5 IPP & CHP 3,573 26 Net generation (megawatthours) 116,334,363 11 Electric utilities 102,294,256 5 IPP & CHP 14,040,107 24 Emissions Sulfur Dioxide (short tons) 13,716 36 Nitrogen Oxide (short tons) 18,316 40 Carbon Dioxide (thousand metric tons) 12,427 398 Sulfur Dioxide (lbs/MWh) 0.2 44

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  20. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Alaska Electricity Profile 2014 Table 1. 2014 Summary statistics (Alaska) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 2,464 48 Electric utilities 2,313 39 IPP & CHP 151 50 Net generation (megawatthours) 6,042,830 50 Electric utilities 5,509,991 40 IPP & CHP 532,839 50 Emissions Sulfur dioxide (short tons) 4,129 43 Nitrogen oxide (short tons) 19,281 38 Carbon dioxide (thousand metric tons) 3,558 44 Sulfur dioxide (lbs/MWh) 1.4 28 Nitrogen oxide

  1. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arizona Electricity Profile 2014 Table 1. 2014 Summary statistics (Arizona) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 28,249 13 Electric utilities 21,311 11 IPP & CHP 6,938 17 Net generation (megawatthours) 112,257,187 13 Electric utilities 94,847,135 8 IPP & CHP 17,410,053 19 Emissions Sulfur dioxide (short tons) 22,597 32 Nitrogen oxide (short tons) 56,726 17 Carbon dioxide (thousand metric tons) 53,684 16 Sulfur dioxide (lbs/MWh) 0.4 41 Nitrogen oxide

  2. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    California Electricity Profile 2014 Table 1. 2014 Summary statistics (California) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 74,646 2 Electric utilities 28,201 4 IPP & CHP 46,446 2 Net generation (megawatthours) 198,807,622 5 Electric utilities 71,037,135 14 IPP & CHP 127,770,487 4 Emissions Sulfur dioxide (short tons) 3,102 46 Nitrogen oxide (short tons) 98,348 5 Carbon dioxide (thousand metric tons) 57,223 14 Sulfur dioxide (lbs/MWh) 0.0 49

  3. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Colorado Electricity Profile 2014 Table 1. 2014 Summary statistics (Colorado) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,933 29 Electric utilities 10,204 28 IPP & CHP 4,729 18 Net generation (megawatthours) 53,847,386 30 Electric utilities 43,239,615 26 IPP & CHP 10,607,771 30 Emissions Sulfur dioxide (short tons) 28,453 30 Nitrogen oxide (short tons) 44,349 24 Carbon dioxide (thousand metric tons) 38,474 22 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  4. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  5. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  6. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    District of Columbia Electricity Profile 2014 Table 1. 2014 Summary statistics (District of Columbia) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 67,612 51 Electric utilities IPP & CHP 67,612 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 147 51 Carbon dioxide (thousand metric tons) 48 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.3 3

  7. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Florida Electricity Profile 2014 Table 1. 2014 Summary statistics (Florida) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 59,440 3 Electric utilities 51,775 1 IPP & CHP 7,665 15 Net generation (megawatthours) 230,015,937 2 Electric utilities 211,970,587 1 IPP & CHP 18,045,350 15 Emissions Sulfur dioxide (short tons) 126,600 10 Nitrogen oxide (short tons) 91,356 6 Carbon dioxide (thousand metric tons) 111,549 2 Sulfur dioxide (lbs/MWh) 1.1 30 Nitrogen

  8. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Georgia Electricity Profile 2014 Table 1. 2014 Summary statistics (Georgia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 38,250 7 Electric utilities 28,873 3 IPP & CHP 9,377 10 Net generation (megawatthours) 125,837,224 10 Electric utilities 109,523,336 4 IPP & CHP 16,313,888 20 Emissions Sulfur dioxide (short tons) 105,998 11 Nitrogen oxide (short tons) 58,144 14 Carbon dioxide (thousand metric tons) 62,516 12 Sulfur dioxide (lbs/MWh) 1.7 24 Nitrogen oxide

  9. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hawaii Electricity Profile 2014 Table 1. 2014 Summary statistics (Hawaii) Item Value Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,672 47 Electric utilities 1,732 40 IPP & CHP 939 45 Net generation (megawatthours) 10,204,158 46 Electric utilities 5,517,389 39 IPP & CHP 4,686,769 40 Emissions Sulfur dioxide (short tons) 21,670 33 Nitrogen oxide (short tons) 26,928 31 Carbon dioxide (thousand metric tons) 7,313 42 Sulfur dioxide (lbs/MWh) 4.2 4 Nitrogen oxide

  10. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Idaho Electricity Profile 2014 Table 1. 2014 Summary statistics (Idaho) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,944 42 Electric utilities 3,413 37 IPP & CHP 1,531 39 Net generation (megawatthours) 15,184,417 43 Electric utilities 9,628,016 37 IPP & CHP 5,556,400 39 Emissions Sulfur dioxide (short tons) 5,777 42 Nitrogen oxide (short tons) 20,301 37 Carbon dioxide (thousand metric tons) 1,492 49 Sulfur dioxide (lbs/MWh) 0.8 36 Nitrogen oxide

  11. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Illinois Electricity Profile 2014 Table 1. 2014 Summary statistics (Illinois) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,727 4 Electric utilities 5,263 35 IPP & CHP 39,464 4 Net generation (megawatthours) 202,143,878 4 Electric utilities 10,457,398 36 IPP & CHP 191,686,480 3 Emissions Sulfur dioxide (short tons) 187,536 6 Nitrogen oxide (short tons) 58,076 15 Carbon dioxide (thousand metric tons) 96,624 6 Sulfur dioxide (lbs/MWh) 1.9 20 Nitrogen

  12. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Indiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Indiana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 27,499 14 Electric utilities 23,319 7 IPP & CHP 4,180 23 Net generation (megawatthours) 115,395,392 12 Electric utilities 100,983,285 6 IPP & CHP 14,412,107 22 Emissions Sulfur dioxide (short tons) 332,396 3 Nitrogen oxide (short tons) 133,412 3 Carbon dioxide (thousand metric tons) 103,391 3 Sulfur dioxide (lbs/MWh) 5.8 1 Nitrogen oxide

  13. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Iowa Electricity Profile 2014 Table 1. 2014 Summary statistics (Iowa) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,507 24 Electric utilities 12,655 20 IPP & CHP 3,852 25 Net generation (megawatthours) 56,853,282 28 Electric utilities 43,021,954 27 IPP & CHP 13,831,328 25 Emissions Sulfur dioxide (short tons) 74,422 19 Nitrogen oxide (short tons) 41,793 25 Carbon dioxide (thousand metric tons) 39,312 21 Sulfur dioxide (lbs/MWh) 2.6 13 Nitrogen oxide

  14. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Kansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Kansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,227 31 Electric utilities 11,468 24 IPP & CHP 2,759 33 Net generation (megawatthours) 49,728,363 31 Electric utilities 39,669,629 29 IPP & CHP 10,058,734 31 Emissions Sulfur dioxide (short tons) 31,550 29 Nitrogen oxide (short tons) 29,014 29 Carbon dioxide (thousand metric tons) 31,794 29 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  15. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Kentucky Electricity Profile 2014 Table 1. 2014 Summary statistics (Kentucky) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,878 21 Electric utilities 19,473 15 IPP & CHP 1,405 40 Net generation (megawatthours) 90,896,435 17 Electric utilities 90,133,403 10 IPP & CHP 763,032 49 Emissions Sulfur dioxide (short tons) 204,873 5 Nitrogen oxide (short tons) 89,253 7 Carbon dioxide (thousand metric tons) 85,795 7 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  16. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Louisiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Louisiana) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,657 15 Electric utilities 18,120 16 IPP & CHP 8,537 13 Net generation (megawatthours) 104,229,402 15 Electric utilities 58,518,271 17 IPP & CHP 45,711,131 8 Emissions Sulfur dioxide (short tons) 96,240 14 Nitrogen oxide (short tons) 83,112 8 Carbon dioxide (thousand metric tons) 57,137 15 Sulfur dioxide (lbs/MWh) 1.8 21

  17. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maine Electricity Profile 2014 Table 1. 2014 Summary statistics (Maine) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,470 43 Electric utilities 10 49 IPP & CHP 4,460 20 Net generation (megawatthours) 13,248,710 44 Electric utilities 523 49 IPP & CHP 13,248,187 27 Emissions Sulfur dioxide (short tons) 10,990 38 Nitrogen oxide (short tons) 8,622 46 Carbon dioxide (thousand metric tons) 3,298 46 Sulfur dioxide (lbs/MWh) 1.7 25 Nitrogen oxide (lbs/MWh)

  18. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maryland Electricity Profile 2014 Table 1. 2014 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,264 33 Electric utilities 85 47 IPP & CHP 12,179 8 Net generation (megawatthours) 37,833,652 35 Electric utilities 20,260 47 IPP & CHP 37,813,392 9 Emissions Sulfur dioxide (short tons) 41,370 26 Nitrogen oxide (short tons) 20,626 35 Carbon dioxide (thousand metric tons) 20,414 34 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide

  19. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  20. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  1. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Minnesota Electricity Profile 2014 Table 1. 2014 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,621 28 Electric utilities 11,557 22 IPP & CHP 4,064 24 Net generation (megawatthours) 56,998,330 27 Electric utilities 45,963,271 22 IPP & CHP 11,035,059 29 Emissions Sulfur dioxide (short tons) 39,272 27 Nitrogen oxide (short tons) 38,373 28 Carbon dioxide (thousand metric tons) 32,399 28 Sulfur dioxide (lbs/MWh) 1.4 27 Nitrogen

  2. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mississippi Electricity Profile 2014 Table 1. 2014 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 16,090 26 Electric utilities 13,494 19 IPP & CHP 2,597 34 Net generation (megawatthours) 55,127,092 29 Electric utilities 47,084,382 21 IPP & CHP 8,042,710 34 Emissions Sulfur dioxide (short tons) 101,093 13 Nitrogen oxide (short tons) 23,993 32 Carbon dioxide (thousand metric tons) 24,037 33 Sulfur dioxide (lbs/MWh) 3.7 5

  3. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  4. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  5. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  6. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  7. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  8. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  9. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  10. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  11. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  12. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  13. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Ohio Electricity Profile 2014 Table 1. 2014 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 31,507 9 Electric utilities 11,134 26 IPP & CHP 20,372 6 Net generation (megawatthours) 134,476,405 8 Electric utilities 43,290,512 25 IPP & CHP 91,185,893 7 Emissions Sulfur dioxide (short tons) 355,108 1 Nitrogen oxide (short tons) 105,688 4 Carbon dioxide (thousand metrictons) 98,650 5 Sulfur dioxide (lbs/MWh) 5.3 2 Nitrogen oxide (lbs/MWh)

  14. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Oklahoma Electricity Profile 2014 Table 1. 2014 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 24,048 17 Electric utilities 17,045 17 IPP & CHP 7,003 16 Net generation (megawatthours) 70,155,504 22 Electric utilities 48,096,026 19 IPP & CHP 22,059,478 14 Emissions Sulfur dioxide 78,556 18 Nitrogen oxide 44,874 23 Carbon dioxide (thousand metric tons) 43,994 18 Sulfur dioxide (lbs/MWh) 2.2 17 Nitrogen oxide (lbs/MWh) 1.3 26

  15. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  16. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  17. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Tennessee Electricity Profile 2014 Table 1. 2014 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,998 20 Electric utilities 20,490 14 IPP & CHP 508 47 Net generation (megawatthours) 79,506,886 20 Electric utilities 76,986,629 13 IPP & CHP 2,520,257 47 Emissions Sulfur dioxide (short tons) 89,357 16 Nitrogen oxide (short tons) 23,913 33 Carbon dioxide (thousand metric tons) 41,405 20 Sulfur dioxide (lbs/MWh) 2.2 16 Nitrogen oxide

  18. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Texas Electricity Profile 2014 Table 1. 2014 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 112,914 1 Electric utilities 29,113 2 IPP & CHP 83,800 1 Net generation (megawatthours) 437,629,668 1 Electric utilities 94,974,953 7 IPP & CHP 342,654,715 1 Emissions Sulfur Dioxide (short tons) 349,245 2 Nitrogen Oxide short tons) 229,580 1 Carbon Dioxide (thousand metric tons) 254,488 1 Sulfur Dioxide (lbs/MWh) 1.6 26 Nitrogen Oxide

  19. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Utah Electricity Profile 2014 Table 1. 2014 Summary statistics (Utah) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,325 38 Electric utilities 7,296 31 IPP & CHP 1,029 44 Net generation (megawatthours) 43,784,526 33 Electric utilities 40,741,425 28 IPP & CHP 3,043,101 44 Emissions Sulfur Dioxide (short tons) 23,646 31 Nitrogen Oxide (short tons) 57,944 16 Carbon Dioxide (thousand metric tons) 35,179 24 Sulfur Dioxide (lbs/MWh) 1.1 31 Nitrogen Oxide (lbs/MWh)

  20. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Vermont Electricity Profile 2014 Table 1. 2014 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 650 50 Electric utilities 337 44 IPP & CHP 313 49 Net generation (megawatthours) 7,031,394 48 Electric utilities 868,079 42 IPP & CHP 6,163,315 37 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 737 50 Carbon Dioxide (thousand metric tons) 14 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  1. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 26,292 16 Electric utilities 22,062 10 IPP & CHP 4,231 22 Net generation (megawatthours) 77,137,438 21 Electric utilities 62,966,914 16 IPP & CHP 14,170,524 23 Emissions Sulfur Dioxide (short tons) 68,550 20 Nitrogen Oxide (short tons) 40,656 26 Carbon Dioxide (thousand metric tons) 33,295 25 Sulfur Dioxide (lbs/MWh) 1.8 23 Nitrogen

  2. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wisconsin Electricity Profile 2014 Table 1. 2014 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,166 23 Electric utilities 14,377 18 IPP & CHP 2,788 32 Net generation (megawatthours) 61,064,796 25 Electric utilities 47,301,782 20 IPP & CHP 13,763,014 26 Emissions Sulfur Dioxide (short tons) 81,239 17 Nitrogen Oxide (short tons) 39,597 27 Carbon Dioxide (thousand metric tons) 43,750 19 Sulfur Dioxide (lbs/MWh) 2.7 12 Nitrogen

  3. EIA - State Electricity Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wyoming Electricity Profile 2014 Table 1. 2014 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,458 37 Electric utilities 7,233 32 IPP & CHP 1,225 43 Net generation (megawatthours) 49,696,183 32 Electric utilities 45,068,982 23 IPP & CHP 4,627,201 41 Emissions Sulfur Dioxide (short tons) 45,704 24 Nitrogen Oxide (short tons) 49,638 18 Carbon Dioxide (thousand metric tons) 47,337 17 Sulfur Dioxide (lbs/MWh) 1.8 22 Nitrogen Oxide

  4. Profile Interface Generator

    Energy Science and Technology Software Center (OSTI)

    2013-11-09

    The Profile Interface Generator (PIG) is a tool for loosely coupling applications and performance tools. It enables applications to write code that looks like standard C and Fortran functions calls, without requiring that applications link to specific implementations of those function calls. Performance tools can register with PIG in order to listen to only the calls that give information they care about. This interface reduces the build and configuration burden on application developers and allowsmore » semantic instrumentation to live in production codes without interfering with production runs.« less

  5. Compare Gene Profiles

    Energy Science and Technology Software Center (OSTI)

    2014-05-31

    Compare Gene Profiles (CGP) performs pairwise gene content comparisons among a relatively large set of related bacterial genomes. CGP performs pairwise BLAST among gene calls from a set of input genome and associated annotation files, and combines the results to generate lists of common genes, unique genes, homologs, and genes from each genome that differ substantially in length from corresponding genes in the other genomes. CGP is implemented in Python and runs in a Linuxmore » environment in serial or parallel mode.« less

  6. Description of Atmospheric Conditions at the Pierre Auger Observatory using the Global Data Assimilation System (GDAS)

    SciTech Connect (OSTI)

    Abreu, P.; Aglietta, M.; Ahlers, M.; Ahn, E.J.; Albuquerque, I.F.M.; Allard, D.; Allekotte, I.; Allen, J.; Allison, P.; Almela, A.; Alvarez Castillo, J.; /Mexico U., ICN /Santiago de Compostela U.

    2012-01-01

    Atmospheric conditions at the site of a cosmic ray observatory must be known for reconstructing observed extensive air showers. The Global Data Assimilation System (GDAS) is a global atmospheric model predicated on meteorological measurements and numerical weather predictions. GDAS provides altitude-dependent profiles of the main state variables of the atmosphere like temperature, pressure, and humidity. The original data and their application to the air shower reconstruction of the Pierre Auger Observatory are described. By comparisons with radiosonde and weather station measurements obtained on-site in Malargue and averaged monthly models, the utility of the GDAS data is shown.

  7. Atmospheric Radiation Measurement (ARM) Data from the ARM Aerial Facility

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of these models. ARM data is collected both through permanent monitoring stations and field campaigns around the world. Airborne measurements required to answer science questions from researchers or to validate ground data are also collected. To find data from all categories of aerial operations, follow the links from the AAF information page at http://www.arm.gov/sites/aaf. Tables of information will provide start dates, duration, lead scientist, and the research site for each of the named campaigns. The title of a campaign leads, in turn, to a project description, contact information, and links to the data. Users will be requested to create a password, but the data files are free for viewing and downloading. The ARM Archive physically resides at the Oak Ridge National Laboratory.

  8. A marine biogenic source of atmospheric ice-nucleating particles

    SciTech Connect (OSTI)

    Wilson, T. W.; Ladino, L. A.; Alpert, Peter A.; Breckels, M. N.; Brooks, I. M.; Browse, J.; Burrows, Susannah M.; Carslaw, K. S.; Huffman, J. A.; Judd, C.; Kilthau, W. P.; Mason, R. H.; McFiggans, Gordon; Miller, L. A.; Najera, J.; Polishchuk, E. A.; Rae, S.; Schiller, C. L.; Si, M.; Vergara Temprado, J.; Whale, Thomas; Wong, J P S; Wurl, O.; Yakobi-Hancock, J. D.; Abbatt, JPD; Aller, Josephine Y.; Bertram, Allan K.; Knopf, Daniel A.; Murray, Benjamin J.

    2015-09-09

    The formation of ice in clouds is facilitated by the presence of airborne ice nucleating particles1,2. Sea spray is one of the major global sources of atmospheric particles, but it is unclear to what extent these particles are capable of nucleating ice3–11. Here we show that material in the sea surface microlayer, which is enriched in surface active organic material representative of that found in sub-micron sea- spray aerosol12–21, nucleates ice under conditions that occur in mixed-phase clouds and high-altitude ice clouds. The ice active material is likely biogenic and is less than ~0.2 ?m in size. We also show that organic material (exudate) released by a common marine diatom nucleates ice when separated from cells and propose that organic material associated with phytoplankton cell exudates are a candidate for the observed ice nucleating ability of the microlayer samples. By combining our measurements with global model simulations of marine organic aerosol, we show that ice nucleating particles of marine origin are dominant in remote marine environments, such as the Southern Ocean, the North Pacific and the North Atlantic.

  9. Atmospheric radiation measurement unmanned aerospace vehicle (ARM-UAV) program

    SciTech Connect (OSTI)

    Bolton, W.R.

    1996-11-01

    ARM-UAV is part of the multi-agency U.S. Global Change Research Program and is addressing the largest source of uncertainty in predicting climatic response: the interaction of clouds and the sun`s energy in the Earth`s atmosphere. An important aspect of the program is the use of unmanned aerospace vehicles (UAVs) as the primary airborne platform. The ARM-UAV Program has completed two major flight series: The first series conducted in April, 1994, using an existing UAV (the General Atomics Gnat 750) consisted of eight highly successful flights at the DOE climate site in Oklahoma. The second series conducted in September/October, 1995, using two piloted aircraft (Egrett and Twin Otter), featured simultaneous measurements above and below clouds and in clear sky. Additional flight series are planned to continue study of the cloudy and clear sky energy budget in the Spring and Fall of 1996 over the DOE climate site in Oklahoma. 3 refs., 4 figs., 1 tab.

  10. Project Cost Profile Spreadsheet | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet File Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template ...

  11. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    27 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-16-027 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  12. AUDIT REPORT Atmospheric Radiation Measurement Climate Research...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Atmospheric Radiation Measurement Climate Research Facility OAI-M-16-10 May 2016 U.S. ... Audit Report on the "Atmospheric Radiation Measurement Climate Research Facility" ...

  13. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-16-037 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  14. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    01 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-16-001 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  15. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-15-069 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  16. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion...

  17. National Oceanic and Atmospheric Administration (NOAA) | Open...

    Open Energy Info (EERE)

    National Oceanic and Atmospheric Administration (NOAA) Jump to: navigation, search Logo: National Oceanic and Atmospheric Administration (NOAA) Name: National Oceanic and...

  18. Atmospheric Radiation Measurement (ARM) Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Radiation Measurement (ARM) Climate Research Facility and Atmospheric System Research (ASR) Science and Infrastructure Steering Committee CHARTER June 2012 DISCLAIMER ...

  19. Search for: "atmospheric radiation measurement" | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Switch to Detail View for this search DOE Data Explorer Search Results Page 1 of 70 Search for: "atmospheric radiation measurement" 697 results for: "atmospheric radiation ...

  20. Atmospheric Radiation Measurement Climate Research Facility Annual...

    Office of Scientific and Technical Information (OSTI)

    Atmospheric Radiation Measurement Climate Research Facility Annual Report 2006 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate Research ...

  1. Deflagration Wave Profiles

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2012-04-03

    Shock initiation in a plastic-bonded explosives (PBX) is due to hot spots. Current reactive burn models are based, at least heuristically, on the ignition and growth concept. The ignition phase occurs when a small localized region of high temperature (or hot spot) burns on a fast time scale. This is followed by a growth phase in which a reactive front spreads out from the hot spot. Propagating reactive fronts are deflagration waves. A key question is the deflagration speed in a PBX compressed and heated by a shock wave that generated the hot spot. Here, the ODEs for a steady deflagration wave profile in a compressible fluid are derived, along with the needed thermodynamic quantities of realistic equations of state corresponding to the reactants and products of a PBX. The properties of the wave profile equations are analyzed and an algorithm is derived for computing the deflagration speed. As an illustrative example, the algorithm is applied to compute the deflagration speed in shock compressed PBX 9501 as a function of shock pressure. The calculated deflagration speed, even at the CJ pressure, is low compared to the detonation speed. The implication of this are briefly discussed.

  2. 915-MHz Radar Wind Profiler (915RWP) Handbook

    SciTech Connect (OSTI)

    Coulter, R

    2005-01-01

    The 915 MHz radar wind profiler/radio acoustic sounding system (RWP/RASS) measures wind profiles and backscattered signal strength between (nominally) 0.1 km and 5 km and virtual temperature profiles between 0.1 km and 2.5 km. It operates by transmitting electromagnetic energy into the atmosphere and measuring the strength and frequency of backscattered energy. Virtual temperatures are recovered by transmitting an acoustic signal vertically and measuring the electromagnetic energy scattered from the acoustic wavefront. Because the propagation speed of the acoustic wave is proportional to the square root of the virtual temperature of the air, the virtual temperature can be recovered by measuring the Doppler shift of the scattered electromagnetic wave.

  3. Tropospheric and Lower Stratospheric Ozone Profiles From AERI-X Emission Spectra

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Tropospheric and Lower Stratospheric Ozone Profiles From AERI-X Emission Spectra P. F. Fogal and F. J. Murcray Department of Physics and Astronomy University of Denver Denver, Colorado Introduction The University of Denver Atmospheric Emission Radiometric Interferometer-Extended (AERI-X) has been in regular operation at the Southern Great Plains (SGP) Atmospheric Radiation Measurements (ARM) Program site, conditions permitting, since the mid-1990s. We present here the analysis of several spectra

  4. Improved Humidity Profiling by Combining Passive and Active Remote Sensors at the Southern Great Plains

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Improved Humidity Profiling by Combining Passive and Active Remote Sensors at the Southern Great Plains L. Bianco, D. Cimini, and F. Marzano Center of Excellence CETEMPS University of L'Aquila L'Aquila, Italy L. Bianco and E. R. Westwater Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado R. Ware Radiometrics Co. and University Consortium for Atmospheric Research

  5. The Airborne Metagenome in an Indoor Urban Environment

    SciTech Connect (OSTI)

    Tringe, Susannah; Zhang, Tao; Liu, Xuguo; Yu, Yiting; Lee, Wah Heng; Yap, Jennifer; Yao, Fei; Suan, Sim Tiow; Ing, Seah Keng; Haynes, Matthew; Rohwer, Forest; Wei, Chia Lin; Tan, Patrick; Bristow, James; Rubin, Edward M.; Ruan, Yijun

    2008-02-12

    The indoor atmosphere is an ecological unit that impacts on public health. To investigate the composition of organisms in this space, we applied culture-independent approaches to microbes harvested from the air of two densely populated urban buildings, from which we analyzed 80 megabases genomic DNA sequence and 6000 16S rDNA clones. The air microbiota is primarily bacteria, including potential opportunistic pathogens commonly isolated from human-inhabited environments such as hospitals, but none of the data contain matches to virulent pathogens or bioterror agents. Comparison of air samples with each other and nearby environments suggested that the indoor air microbes are not random transients from surrounding outdoor environments, but rather originate from indoor niches. Sequence annotation by gene function revealed specific adaptive capabilities enriched in the air environment, including genes potentially involved in resistance to desiccation and oxidative damage. This baseline index of air microbiota will be valuable for improving designs of surveillance for natural or man-made release of virulent pathogens.

  6. Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles

    DOE Patents [OSTI]

    Havener, Charles C [Knoxville, TN; Al-Rejoub, Riad [Oak Ridge, TN

    2005-12-26

    A widely used scanner device that rotates a single helically shaped wire probe in and out of a particle beam at different beamline positions to give a pair of mutually perpendicular beam profiles is modified by the addition of a second wire probe. As a result, a pair of mutually perpendicular beam profiles is obtained at a first beamline position, and a second pair of mutually perpendicular beam profiles is obtained at a second beamline position. The simple modification not only provides more accurate beam profiles, but also provides a measurement of the beam divergence and quality in a single compact device.

  7. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982

  8. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  9. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  10. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  11. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  12. EIA - State Nuclear Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  13. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  15. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  16. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Electricity State Profiles Renewable Electricity State Profiles Data for 2010 | Release Date: January 21, 2012 | Next Release: January 30, 2013 Other Renewable Electricity State Profiles Choose a State: Select a State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New

  17. Oil and gas exploration system and method for detecting trace amounts of hydrocarbon gases in the atmosphere

    DOE Patents [OSTI]

    Wamsley, Paula R.; Weimer, Carl S.; Nelson, Loren D.; O'Brien, Martin J.

    2003-01-01

    An oil and gas exploration system and method for land and airborne operations, the system and method used for locating subsurface hydrocarbon deposits based upon a remote detection of trace amounts of gases in the atmosphere. The detection of one or more target gases in the atmosphere is used to indicate a possible subsurface oil and gas deposit. By mapping a plurality of gas targets over a selected survey area, the survey area can be analyzed for measurable concentration anomalies. The anomalies are interpreted along with other exploration data to evaluate the value of an underground deposit. The system includes a differential absorption lidar (DIAL) system with a spectroscopic grade laser light and a light detector. The laser light is continuously tunable in a mid-infrared range, 2 to 5 micrometers, for choosing appropriate wavelengths to measure different gases and avoid absorption bands of interference gases. The laser light has sufficient optical energy to measure atmospheric concentrations of a gas over a path as long as a mile and greater. The detection of the gas is based on optical absorption measurements at specific wavelengths in the open atmosphere. Light that is detected using the light detector contains an absorption signature acquired as the light travels through the atmosphere from the laser source and back to the light detector. The absorption signature of each gas is processed and then analyzed to determine if a potential anomaly exists.

  18. Search Women@Energy Profiles

    Broader source: Energy.gov [DOE]

    Search the Women@Energy profiles to learn more about how to get into STEM, inspired by STEM, or find a STEM career.

  19. Apparatus for real-time airborne particulate radionuclide collection and analysis

    DOE Patents [OSTI]

    Smart, John E.; Perkins, Richard W.

    2001-01-01

    An improved apparatus for collecting and analyzing an airborne particulate radionuclide having a filter mounted in a housing, the housing having an air inlet upstream of the filter and an air outlet downstream of the filter, wherein an air stream flows therethrough. The air inlet receives the air stream, the filter collects the airborne particulate radionuclide and permits a filtered air stream to pass through the air outlet. The improvement which permits real time counting is a gamma detecting germanium diode mounted downstream of the filter in the filtered air stream. The gamma detecting germanium diode is spaced apart from a downstream side of the filter a minimum distance for a substantially maximum counting detection while permitting substantially free air flow through the filter and uniform particulate radionuclide deposition on the filter.

  20. Geophex Airborne Unmanned Survey System (GAUSS). Topical report, October 1993--March 1995

    SciTech Connect (OSTI)

    1995-03-01

    The objectives of the project are to construct a geophysical sensor system based on a remotely operated model helicopter (ROH) and to evaluate the efficacy of the system for characterization of hazardous environmental sites. Geophex Airborne Unmanned Survey System (GAUSS) is a geophysical survey system that uses a ROH as the survey vehicle. We have selected the ROH because of its advantages over fixed wing and ground based vehicles. Lower air speed and superior maneuverability of the ROH make it better suited for geophysical surveys than a fixed wing model aircraft. The ROH can fly close to the ground, allowing detection of weak or subtle anomalies. Unlike ground based vehicles, the ROH can traverse difficult terrain while providing a stable sensor platform. ROH does not touch the ground during the course of a survey and is capable of functioning over water and surf zones. The ROH has been successfully used in the motion picture industry and by geology companies for payload bearing applications. The only constraint to use of the airborne system is that the ROH must remain visible to the pilot. Obstructed areas within a site can be characterized by relocating the base station to alternate positions. GAUSS consists of a ROH with radio controller, a data acquisition and processing (DAP) system, and lightweight digital sensor systems. The objective of our Phase I research was to develop a DAP and sensors suitable for ROH operation. We have constructed these subsystems and integrated them to produce an automated, hand-held geophysical surveying system, referred to as the ``pre-prototype``. We have performed test surveys with the pre-prototype to determine the functionality of the and DAP and sensor subsystems and their suitability for airborne application. The objective of the Phase II effort will be to modify the existing subsystems and integrate them into an airborne prototype. Efficacy of the prototype for geophysical survey of hazardous sites will then be determined.

  1. Removing interfering clutter associated with radar pulses that an airborne radar receives from a radar transponder

    DOE Patents [OSTI]

    Ormesher, Richard C.; Axline, Robert M.

    2008-12-02

    Interfering clutter in radar pulses received by an airborne radar system from a radar transponder can be suppressed by developing a representation of the incoming echo-voltage time-series that permits the clutter associated with predetermined parts of the time-series to be estimated. These estimates can be used to estimate and suppress the clutter associated with other parts of the time-series.

  2. Device and method for accurately measuring concentrations of airborne transuranic isotopes

    DOE Patents [OSTI]

    McIsaac, C.V.; Killian, E.W.; Grafwallner, E.G.; Kynaston, R.L.; Johnson, L.O.; Randolph, P.D.

    1996-09-03

    An alpha continuous air monitor (CAM) with two silicon alpha detectors and three sample collection filters is described. This alpha CAM design provides continuous sampling and also measures the cumulative transuranic (TRU), i.e., plutonium and americium, activity on the filter, and thus provides a more accurate measurement of airborne TRU concentrations than can be accomplished using a single fixed sample collection filter and a single silicon alpha detector. 7 figs.

  3. Device and method for accurately measuring concentrations of airborne transuranic isotopes

    DOE Patents [OSTI]

    McIsaac, Charles V. (Idaho Falls, ID); Killian, E. Wayne (Idaho Falls, ID); Grafwallner, Ervin G. (Arco, ID); Kynaston, Ronnie L. (Blackfoot, ID); Johnson, Larry O. (Pocatello, ID); Randolph, Peter D. (Idaho Falls, ID)

    1996-01-01

    An alpha continuous air monitor (CAM) with two silicon alpha detectors and three sample collection filters is described. This alpha CAM design provides continuous sampling and also measures the cumulative transuranic (TRU), i.e., plutonium and americium, activity on the filter, and thus provides a more accurate measurement of airborne TRU concentrations than can be accomplished using a single fixed sample collection filter and a single silicon alpha detector.

  4. AIRBORNE, OPTICAL REMOTE SENSING OF METHANE AND ETHANE FOR NATURAL GAS PIPLINE LEAK DETECTION

    SciTech Connect (OSTI)

    Jerry Myers

    2004-05-12

    Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. The third six-month technical report contains a summary of the progress made towards finalizing the design and assembling the airborne, remote methane and ethane sensor. The vendor has been chosen and is on contract to develop the light source with the appropriate linewidth and spectral shape to best utilize the Ophir gas correlation software. Ophir has expanded upon the target reflectance testing begun in the previous performance period by replacing the experimental receiving optics with the proposed airborne large aperture telescope, which is theoretically capable of capturing many times more signal return. The data gathered from these tests has shown the importance of optimizing the fiber optic receiving fiber to the receiving optic and has helped Ophir to optimize the design of the gas cells and narrowband optical filters. Finally, Ophir will discuss remaining project issues that may impact the success of the project.

  5. AIRBORNE, OPTICAL REMOTE SENSING OF METHANE AND ETHANE FOR NATURAL GAS PIPELINE LEAK DETECTION

    SciTech Connect (OSTI)

    Jerry Myers

    2003-11-12

    Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. This second six-month technical report summarizes the progress made towards defining, designing, and developing the hardware and software segments of the airborne, optical remote methane and ethane sensor. The most challenging task to date has been to identify a vendor capable of designing and developing a light source with the appropriate output wavelength and power. This report will document the work that has been done to identify design requirements, and potential vendors for the light source. Significant progress has also been made in characterizing the amount of light return available from a remote target at various distances from the light source. A great deal of time has been spent conducting laboratory and long-optical path target reflectance measurements. This is important since it helps to establish the overall optical output requirements for the sensor. It also reduces the relative uncertainty and risk associated with developing a custom light source. The data gathered from the optical path testing has been translated to the airborne transceiver design in such areas as: fiber coupling, optical detector selection, gas filters, and software analysis. Ophir will next, summarize the design progress of the transceiver hardware and software development. Finally, Ophir will discuss remaining project issues that may impact the success of the project.

  6. Airborne reconnaissance VIII; Proceedings of the meeting, San Diego, CA, August 21, 22, 1984

    SciTech Connect (OSTI)

    Henkel, P.; Lagesse, F.R.

    1984-01-01

    Various papers on sensors and ancillary equipment, technological advances, development and testing, and intelligence extraction and exploitation in airborne reconnaissance are presented. The topics discussed include: the CA-810 modern trilens camera, PC-183B standoff imaging system, ruggedized MMW radiometer sensor for surveillance applications, application of biocular viewers to airborne reconnaissance, KA-102 film/EO standoff system, KS-146A camera development and flight test results, electrooptical imaging for film cameras, and new generation advanced IR linescan sensor system. Also addressed are: evolution of real time airborne reconnaissance, computer-controlled operation of reconnaissance cameras, miniature focus sensor, microprocessor-controller autofocus system, camera flight tests and image evaluation, LM-230A cost-effective test system, information management for tactical reconnaissance, performance modeling of infrared linescanners and FLIRs, USAF tactical reconnaissance - Grenada, sensor control and film annotation for long-range standoff reconnaissance, laser beam recording on film, meteorological effects on image quality, and optimization of photographic information transfer by CRT.

  7. Airborne megawatt class free-electron laser for defense and security

    SciTech Connect (OSTI)

    Roy Whitney; David Douglas; George Neil

    2005-03-01

    An airborne megawatt (MW) average power Free-Electron Laser (FEL) is now a possibility. In the process of shrinking the FEL parameters to fit on ship, a surprisingly lightweight and compact design has been achieved. There are multiple motivations for using a FEL for a high-power airborne system for Defense and Security: Diverse mission requirements can be met by a single system. The MW of light can be made available with any time structure for time periods from microseconds to hours, i.e. there is a nearly unlimited magazine. The wavelength of the light can be chosen to be from the far infrared (IR) to the near ultraviolet (UV) thereby best meeting mission requirements. The FEL light can be modulated for detecting the same pattern in the small fraction of light reflected from the target resulting in greatly enhanced targeting control. The entire MW class FEL including all of its subsystems can be carried by large commercial size airplanes or on an airship. Adequate electrical power can be generated on the plane or airship to run the FEL as long as the plane or airship has fuel to fly. The light from the FEL will work well with relay mirror systems. The required R&D to achieve the MW level is well understood. The coupling of the capabilities of an airborne FEL to diverse mission requirements provides unique opportunities.

  8. BUILDING MATERIAL CHARACTERIZATION USING A CONCRETE FLOOR AND WALL CONTAMINATION PROFILING TECHNOLOGY

    SciTech Connect (OSTI)

    Aggarwal, Dr. S.,; Charters, G.; Thacker, Dr. D.

    2003-02-27

    Certain radioisotopes can penetrate concrete and contaminate the concrete well below the surface. The challenge is to determine the extent and magnitude of the contamination problem in real-time. The concrete profiling technology, TRUPROSM in conjunction with portable radiometric instrumentation produces a profile of radiological or chemical contamination through the material being studied. The data quality, quantity, and representativeness may be used to produce an activity profile from the hot spot surface into the material being sampled. This activity profile may then be expanded to ultimately characterize the facility and expedite waste segregation and facility closure at a reduced cost and risk. Performing a volumetric concrete or metal characterization safer and faster (without lab intervention) is the objective of this characterization technology. This way of determining contamination can save considerable time and money. Currently, concrete core bores are shipped to certified laboratories where the concrete residue is run through a battery of tests to determine the contaminants. The existing core boring operation volatilizes or washes out some of the contaminants (like tritium) and oftentimes cross-contaminates the area around the core bore site. The volatilization of the contaminants can lead to airborne problems in the immediate vicinity of the core bore. Cross-contamination can increase the contamination area and thereby increase the amount of waste generated. The goal is to avoid those field activities that could cause this type of release.

  9. Steel Energy and Environmental Profile

    SciTech Connect (OSTI)

    none,

    2000-08-01

    Major steelmaking processes (from ironmaking through fabrication and forming) and their associated energy requirements have been profiled in this 2001 report (PDF 582 KB). This profile by Energetics, Inc. also describes the waste streams generated by each process and estimates annual emissions of CO2 and criteria pollutants.

  10. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Parcivel Disdrometer (williams-disdro)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  11. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Surface Meteorology (williams-surfmet)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  12. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, Vertical Air Motion (williams-vertair)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Williams, Christopher; Jensen, Mike

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  13. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  14. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  15. SIZE DISTRIBUTION AND RATE OF PRODUCTION OF AIRBORNE PARTICULATE MATTER GENERATED DURING METAL CUTTING

    SciTech Connect (OSTI)

    M.A. Ebadian, Ph.D.; S.K. Dua, Ph.D., C.H.P.; Hillol Guha, Ph.D.

    2001-01-01

    During deactivation and decommissioning activities, thermal cutting tools, such as plasma torch, laser, and gasoline torch, are used to cut metals. These activities generate fumes, smoke and particulates. These airborne species of matter, called aerosols, may be inhaled if suitable respiratory protection is not used. Inhalation of the airborne metallic aerosols has been reported to cause ill health effects, such as acute respiratory syndrome and chromosome damage in lymphocytes. In the nuclear industry, metals may be contaminated with radioactive materials. Cutting these metals, as in size reduction of gloveboxes and tanks, produces high concentrations of airborne transuranic particles. Particles of the respirable size range (size < 10 {micro}m) deposit in various compartments of the respiratory tract, the fraction and the site in the respiratory tract depending on the size of the particles. The dose delivered to the respiratory tract depends on the size distribution of the airborne particulates (aerosols) and their concentration and radioactivity/toxicity. The concentration of airborne particulate matter in an environment is dependent upon the rate of their production and the ventilation rate. Thus, measuring aerosol size distribution and generation rate is important for (1) the assessment of inhalation exposures of workers, (2) the selection of respiratory protection equipment, and (3) the design of appropriate filtration systems. Size distribution of the aerosols generated during cutting of different metals by plasma torch was measured. Cutting rates of different metals, rate of generation of respirable mass, as well as the fraction of the released kerf that become respirable were determined. This report presents results of these studies. Measurements of the particles generated during cutting of metal plates with a plasma arc torch revealed the presence of particles with mass median aerodynamic diameters of particles close to 0.2 {micro}m, arising from

  16. Laser heterodyne surface profiler

    DOE Patents [OSTI]

    Sommargren, G.E.

    1980-06-16

    A method and apparatus are disclosed for testing the deviation of the face of an object from a flat smooth surface using a beam of coherent light of two plane-polarized components, one of a frequency constantly greater than the other by a fixed amount to produce a difference frequency with a constant phase to be used as a reference, and splitting the beam into its two components. The separate components are directed onto spaced apart points on the face of the object to be tested for smoothness while the face of the object is rotated on an axis normal to one point, thereby passing the other component over a circular track on the face of the object. The two components are recombined after reflection to produce a reflected frequency difference of a phase proportional to the difference in path length of one component reflected from one point to the other component reflected from the other point. The phase of the reflected frequency difference is compared with the reference phase to produce a signal proportional to the deviation of the height of the surface along the circular track with respect to the fixed point at the center, thereby to produce a signal that is plotted as a profile of the surface along the circular track. The phase detector includes a quarter-wave plate to convert the components of the reference beam into circularly polarized components, a half-wave plate to shift the phase of the circularly polarized components, and a polarizer to produce a signal of a shifted phase for comparison with the phase of the frequency difference of the reflected components detected through a second polarizer. Rotation of the half-wave plate can be used for phase adjustment over a full 360/sup 0/ range.

  17. Radiative Heating Profiles in the Convective Tropics: A Comparison of Observations and Models

    SciTech Connect (OSTI)

    McFarlane, Sally A.; Mather, Jim H.; Ackerman, Thomas P.

    2005-01-10

    Radiative heating is one of the principal drivers of tropical circulation. While we have good knowledge of radiative fluxes at the top-of-atmosphere and at specific surface sites, observations of atmospheric profiles of radiative heating, particular in cloudy conditions, have been largely unavailable. The Atmospheric Radiation Measurement (ARM) Program has begun a program to compute radiative heating profiles routinely at its observational sites at Nauru and Manus Island, Papua New Guinea, using observed and retrieved inputs of water vapor and condensed water phase, particle size, and mass. The accuracy of these profiles can be assessed by comparing the calculated TOA and surface fluxes with observations. We have computed radiative heating profiles every 20 minutes for several months at each of these two sites in the 1999-2000 time period, which represent a unique dataset for model comparison. Here, we compare this dataset to model output from the European Center for Medium-Range Weather Forecasting (ECMWF) analysis, the NCAR Community Atmosphere Model (CAM 3.0) and the Multi-Scale Modeling Framework (MMF). These three models, all run using observed SST for this comparison, provide an interesting range of resolution from the 4 km cloud resolving model in the MMF to the approximately 280 km grid-scale of the CAM and a contrast between forecasting and climate models. In general, the model results fail to capture the structure of the observed heating in the upper troposphere because of their failure to simulate cirrus and stratiform cloud adequately.

  18. Atmospheric Chemistry and Air Pollution

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gaffney, Jeffrey S.; Marley, Nancy A.

    2003-01-01

    Atmospheric chemistry is an important discipline for understanding air pollution and its impacts. This mini-review gives a brief history of air pollution and presents an overview of some of the basic photochemistry involved in the production of ozone and other oxidants in the atmosphere. Urban air quality issues are reviewed with a specific focus on ozone and other oxidants, primary and secondary aerosols, alternative fuels, and the potential for chlorine releases to amplify oxidant chemistry in industrial areas. Regional air pollution issues such as acid rain, long-range transport of aerosols and visibility loss, and the connections of aerosols to ozonemore » and peroxyacetyl nitrate chemistry are examined. Finally, the potential impacts of air pollutants on the global-scale radiative balances of gases and aerosols are discussed briefly.« less

  19. Light extinction in the atmosphere

    SciTech Connect (OSTI)

    Laulainen, N.

    1992-06-01

    Atmospheric aerosol particles originating from natural sources, such as volcanos and sulfur-bearing gas emissions from the oceans, and from human sources, such as sulfur emissions from fossil fuel combustion and biomass burning, strongly affect visual air quality and are suspected to significantly affect radiative climate forcing of the planet. During the daytime, aerosols obscure scenic vistas, while at night they diminish our ability to observe stellar objects. Scattering of light is the main means by which aerosols attenuate and redistribute light in the atmosphere and by which aerosols can alter and reduce visibility and potentially modify the energy balance of the planet. Trends and seasonal variability of atmospheric aerosol loading, such as column-integrated light extinction or optical depth, and how they may affect potential climate change have been difficult to quantify because there have been few observations made of important aerosol optical parameters, such as optical depth, over the globe and over time and often these are of uneven quality. To address questions related to possible climate change, there is a pressing need to acquire more high-quality aerosol optical depth data. Extensive deployment of improved solar radiometers over the next few years will provide higher-quality extinction data over a wider variety of locations worldwide. An often overlooked source of turbidity data, however, is available from astronomical observations, particularly stellar photoelectric photometry observations. With the exception of the Project ASTRA articles published almost 20 years ago, few of these data ever appear in the published literature. This paper will review the current status of atmospheric extinction observations, as highlighted by the ASTRA work and augmented by more recent solar radiometry measurements.

  20. Atmospheric-pressure plasma jet

    DOE Patents [OSTI]

    Selwyn, Gary S.

    1999-01-01

    Atmospheric-pressure plasma jet. A .gamma.-mode, resonant-cavity plasma discharge that can be operated at atmospheric pressure and near room temperature using 13.56 MHz rf power is described. Unlike plasma torches, the discharge produces a gas-phase effluent no hotter than 250.degree. C. at an applied power of about 300 W, and shows distinct non-thermal characteristics. In the simplest design, two concentric cylindrical electrodes are employed to generate a plasma in the annular region therebetween. A "jet" of long-lived metastable and reactive species that are capable of rapidly cleaning or etching metals and other materials is generated which extends up to 8 in. beyond the open end of the electrodes. Films and coatings may also be removed by these species. Arcing is prevented in the apparatus by using gas mixtures containing He, which limits ionization, by using high flow velocities, and by properly shaping the rf-powered electrode. Because of the atmospheric pressure operation, no ions survive for a sufficiently long distance beyond the active plasma discharge to bombard a workpiece, unlike low-pressure plasma sources and conventional plasma processing methods.

  1. DEFRA Global Atmosphere Dept | Open Energy Information

    Open Energy Info (EERE)

    Kingdom Zip: SW1E 6DE Product: Atmosphere research department of the UK Department of Food and Rural Affairs. References: DEFRA - Global Atmosphere Dept.1 This article is a...

  2. Our Dusty Atmosphere | Department of Energy

    Energy Savers [EERE]

    Dusty Atmosphere Our Dusty Atmosphere September 6, 2011 - 4:26pm Addthis A heavy layer of air pollution, a mix of aerosol particles and vapors, obscures the view over Mexico City. ...

  3. Quantitative determination of atmospheric hydroperoxyl radical

    DOE Patents [OSTI]

    Springston, Stephen R.; Lloyd, Judith; Zheng, Jun

    2007-10-23

    A method for the quantitative determination of atmospheric hydroperoxyl radical comprising: (a) contacting a liquid phase atmospheric sample with a chemiluminescent compound which luminesces on contact with hydroperoxyl radical; (b) determining luminescence intensity from the liquid phase atmospheric sample; and (c) comparing said luminescence intensity from the liquid phase atmospheric sample to a standard luminescence intensity for hydroperoxyl radical. An apparatus for automating the method is also included.

  4. Radar range measurements in the atmosphere.

    SciTech Connect (OSTI)

    Doerry, Armin Walter

    2013-02-01

    The earth's atmosphere affects the velocity of propagation of microwave signals. This imparts a range error to radar range measurements that assume the typical simplistic model for propagation velocity. This range error is a function of atmospheric constituents, such as water vapor, as well as the geometry of the radar data collection, notably altitude and range. Models are presented for calculating atmospheric effects on radar range measurements, and compared against more elaborate atmospheric models.

  5. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  6. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  7. Atmospheric Dispersion Modeling in Safety Analyses; GENII

    Office of Environmental Management (EM)

    Atmosphere to Electrons Enabling the Wind Plant of Tomorrow 2 Atmosphere to Electrons Enabling the Wind Plant of Tomorrow The U.S. Department of Energy's (DOE's) Atmosphere to Electrons (A2e) research initiative is focused on improving the performance and reliability of wind plants by establishing an unprecedented under- standing of how the Earth's atmosphere interacts with the wind plants and developing innovative technologies to maximize energy extraction from the wind. The A2e initiative

  8. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  9. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  10. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  11. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Composition and Reactions of Atmospheric Aerosol Particles Composition and Reactions of Atmospheric Aerosol Particles Print Wednesday, 29 June 2005 00:00 Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the

  12. LANSCE | News & Media | Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    background News Multimedia Events Profiles Highlights Activity Reports The Pulse User Program Headlines News & Media dotline LANSCE Profiles Kurt Schoenberg: Steering LANSCE for the Future Kurt Schoenberg Kurt Schoenberg, LANSCE User Facility Director and Los Alamos National Laboratory Deputy Associate Director retired from Los Alamos National Laboratory on October 1, 2015. Over the past decade, Kurt has been integral in creating opportunities for LANSCE and the neutron community through the

  13. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Alaska Renewable Electricity Profile 2010 Alaska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - -

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arizona Renewable Electricity Profile 2010 Arizona profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.9 Geothermal - - Hydro Conventional 2,720 10.1 Solar 20 - Wind 128 - Wood/Wood Waste 583 1.8

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Renewable Electricity Profile 2010 Connecticut profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - -

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Delaware Renewable Electricity Profile 2010 Delaware profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,389 100.0 Total Net Summer Renewable Capacity 10 0.3 Geothermal - - Hydro Conventional - - Solar - - Wind 2 0.1 Wood/Wood

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    District of Columbia Renewable Electricity Profile 2010 District of Columbia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source - Primary Renewable Energy Generation Source - Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 790 100.0 Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  18. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Georgia Renewable Electricity Profile 2010 Georgia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 36,636 100.0 Total Net Summer Renewable Capacity 2,689 7.3 Geothermal - - Hydro Conventional 2,052 5.6 Solar - - Wind - - Wood/Wood Waste 617 1.7 MSW/Landfill Gas

  19. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kansas Renewable Electricity Profile 2010 Kansas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,543 100.0 Total Net Summer Renewable Capacity 1,082 8.6 Geothermal - - Hydro Conventional 3 * Solar - - Wind 1,072 8.5 Wood/Wood Waste - - MSW/Landfill Gas 7 0.1 Other Biomass - -

  20. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Louisiana Renewable Electricity Profile 2010 Louisiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,744 100.0 Total Net Summer Renewable Capacity 517 1.9 Geothermal - - Hydro Conventional 192 0.7 Solar - - Wind - - Wood/Wood Waste 311 1.2 MSW/Landfill Gas - -

  1. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maryland Renewable Electricity Profile 2010 Maryland profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas

  2. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Renewable Electricity Profile 2010 Massachusetts profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood

  3. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mississippi Renewable Electricity Profile 2010 Mississippi profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - -

  4. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Renewable Electricity Profile 2010 Missouri profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas

  5. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Montana Renewable Electricity Profile 2010 Montana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill

  6. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Renewable Electricity Profile 2010 Nebraska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,857 100.0 Total Net Summer Renewable Capacity 443 5.6 Geothermal - - Hydro Conventional 278 3.5 Solar - - Wind 154 2.0 Wood/Wood Waste - - MSW/Landfill Gas 6

  7. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Renewable Electricity Profile 2010 New Hampshire profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,180 100.0 Total Net Summer Renewable Capacity 671 16.1 Geothermal - - Hydro Conventional 489 11.7 Solar - - Wind 24 0.6 Wood/Wood Waste 129 3.1

  8. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Jersey Renewable Electricity Profile 2010 New Jersey profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 18,424 100.0 Total Net Summer Renewable Capacity 230 1.2 Geothermal - - Hydro Conventional 4 * Solar 28 0.2 Wind 8 * Wood/Wood

  9. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Renewable Electricity Profile 2010 North Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7

  10. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Renewable Electricity Profile 2010 Pennsylvania profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2

  11. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Renewable Electricity Profile 2010 Rhode Island profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1

  12. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Renewable Electricity Profile 2010 South Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1

  13. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Renewable Electricity Profile 2010 South Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - -

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee Renewable Electricity Profile 2010 Tennessee profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont Renewable Electricity Profile 2010 Vermont profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia Renewable Electricity Profile 2010 Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 24,109 100.0 Total Net Summer Renewable Capacity 1,487 6.2 Geothermal - - Hydro Conventional 866 3.6 Solar - - Wind - - Wood/Wood Waste 331 1.4 MSW/Landfill Gas

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    West Virginia Renewable Electricity Profile 2010 West Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 16,495 100.0 Total Net Summer Renewable Capacity 715 4.3 Geothermal - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 Wood/Wood Waste - - MSW/Landfill Gas - -

  18. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin Renewable Electricity Profile 2010 Wisconsin profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3

  19. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wyoming Renewable Electricity Profile 2010 Wyoming profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  20. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Alabama Renewable Electricity Profile 2010 Alabama profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill

  1. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Alaska Renewable Electricity Profile 2010 Alaska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - -

  2. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Arizona Renewable Electricity Profile 2010 Arizona profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.9 Geothermal - - Hydro Conventional 2,720 10.1 Solar 20 - Wind 128 - Wood/Wood Waste 583 1.8

  3. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Connecticut Renewable Electricity Profile 2010 Connecticut profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - -

  4. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Delaware Renewable Electricity Profile 2010 Delaware profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,389 100.0 Total Net Summer Renewable Capacity 10 0.3 Geothermal - - Hydro Conventional - - Solar - - Wind 2 0.1 Wood/Wood

  5. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    District of Columbia Renewable Electricity Profile 2010 District of Columbia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source - Primary Renewable Energy Generation Source - Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 790 100.0 Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  6. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Georgia Renewable Electricity Profile 2010 Georgia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 36,636 100.0 Total Net Summer Renewable Capacity 2,689 7.3 Geothermal - - Hydro Conventional 2,052 5.6 Solar - - Wind - - Wood/Wood Waste 617 1.7 MSW/Landfill Gas

  7. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Kansas Renewable Electricity Profile 2010 Kansas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,543 100.0 Total Net Summer Renewable Capacity 1,082 8.6 Geothermal - - Hydro Conventional 3 * Solar - - Wind 1,072 8.5 Wood/Wood Waste - - MSW/Landfill Gas 7 0.1 Other Biomass - -

  8. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Louisiana Renewable Electricity Profile 2010 Louisiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,744 100.0 Total Net Summer Renewable Capacity 517 1.9 Geothermal - - Hydro Conventional 192 0.7 Solar - - Wind - - Wood/Wood Waste 311 1.2 MSW/Landfill Gas - -

  9. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maryland Renewable Electricity Profile 2010 Maryland profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas

  10. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Massachusetts Renewable Electricity Profile 2010 Massachusetts profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood

  11. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mississippi Renewable Electricity Profile 2010 Mississippi profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - -

  12. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Missouri Renewable Electricity Profile 2010 Missouri profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas

  13. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Montana Renewable Electricity Profile 2010 Montana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill

  14. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nebraska Renewable Electricity Profile 2010 Nebraska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,857 100.0 Total Net Summer Renewable Capacity 443 5.6 Geothermal - - Hydro Conventional 278 3.5 Solar - - Wind 154 2.0 Wood/Wood Waste - - MSW/Landfill Gas 6

  15. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hampshire Renewable Electricity Profile 2010 New Hampshire profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,180 100.0 Total Net Summer Renewable Capacity 671 16.1 Geothermal - - Hydro Conventional 489 11.7 Solar - - Wind 24 0.6 Wood/Wood Waste 129 3.1

  16. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Jersey Renewable Electricity Profile 2010 New Jersey profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 18,424 100.0 Total Net Summer Renewable Capacity 230 1.2 Geothermal - - Hydro Conventional 4 * Solar 28 0.2 Wind 8 * Wood/Wood

  17. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina Renewable Electricity Profile 2010 North Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7

  18. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Pennsylvania Renewable Electricity Profile 2010 Pennsylvania profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2

  19. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Rhode Island Renewable Electricity Profile 2010 Rhode Island profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1

  20. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Carolina Renewable Electricity Profile 2010 South Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1

  1. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Dakota Renewable Electricity Profile 2010 South Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - -

  2. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Tennessee Renewable Electricity Profile 2010 Tennessee profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9

  3. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Vermont Renewable Electricity Profile 2010 Vermont profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3

  4. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Virginia Renewable Electricity Profile 2010 Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 24,109 100.0 Total Net Summer Renewable Capacity 1,487 6.2 Geothermal - - Hydro Conventional 866 3.6 Solar - - Wind - - Wood/Wood Waste 331 1.4 MSW/Landfill Gas

  5. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    West Virginia Renewable Electricity Profile 2010 West Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 16,495 100.0 Total Net Summer Renewable Capacity 715 4.3 Geothermal - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 Wood/Wood Waste - - MSW/Landfill Gas - -

  6. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wisconsin Renewable Electricity Profile 2010 Wisconsin profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3

  7. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Wyoming Renewable Electricity Profile 2010 Wyoming profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  8. JOBAID-ACCESSING AND MODIFYING TALENT PROFILE

    Broader source: Energy.gov [DOE]

    The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile...

  9. G-Band Vapor Radiometer Profiler (GVRP) Handbook

    SciTech Connect (OSTI)

    Caddeau, MP

    2010-06-23

    The G-Band Vapor Radiometer Profiler (GVRP) provides time-series measurements of brightness temperatures from 15 channels between 170 and 183.310 GHz. Atmospheric emission in this spectral region is primarily due to water vapor, with some influence from liquid water. Channels between 170.0 and 176.0 GHz are particularly sensitive to the presence of liquid water. The sensitivity to water vapor of the 183.31-GHz line is approximately 30 times higher than at the frequencies of the two-channel microwave radiometer (MWR) for a precipitable water vapor (PWV) amount of less than 2.5 mm. Measurements from the GVRP instrument are therefore especially useful during low-humidity conditions (PWV < 5 mm). In addition to integrated water vapor and liquid water, the GVRP can provide low-resolution vertical profiles of water vapor in very dry conditions.

  10. AIRBORNE, OPTICAL REMOTE SENSING OF METHANE AND ETHANE FOR NATURAL GAS PIPELINE LEAK DETECTION

    SciTech Connect (OSTI)

    Jerry Myers

    2003-05-13

    Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. This six-month technical report summarizes the progress for each of the proposed tasks, discusses project concerns, and outlines near-term goals. Ophir has completed a data survey of two major natural gas pipeline companies on the design requirements for an airborne, optical remote sensor. The results of this survey are disclosed in this report. A substantial amount of time was spent on modeling the expected optical signal at the receiver at different absorption wavelengths, and determining the impact of noise sources such as solar background, signal shot noise, and electronic noise on methane and ethane gas detection. Based upon the signal to noise modeling and industry input, Ophir finalized the design requirements for the airborne sensor, and released the critical sensor light source design requirements to qualified vendors. Responses from the vendors indicated that the light source was not commercially available, and will require a research and development effort to produce. Three vendors have responded positively with proposed design solutions. Ophir has decided to conduct short path optical laboratory experiments to verify the existence of methane and absorption at the specified wavelength, prior to proceeding with the light source selection. Techniques to eliminate common mode noise were also evaluated during the laboratory tests. Finally, Ophir has included a summary of the potential concerns for project success and has established future goals.

  11. Profiles in Leadership: Christopher Smith, Assistant Secretary...

    Energy Savers [EERE]

    Christopher Smith, Assistant Secretary for Fossil Energy Profiles in Leadership: Christopher Smith, Assistant Secretary for Fossil Energy July 15, 2015 - 8:19am Addthis Profiles in ...

  12. Clostridium thermocellum transcriptomic profiles after exposure...

    Office of Scientific and Technical Information (OSTI)

    transcriptomic profiles after exposure to furfural or heat stress Citation Details In-Document Search Title: Clostridium thermocellum transcriptomic profiles after exposure to ...

  13. Project Profile: Forecasting and Influencing Technological Progress...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Soft Costs Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar ...

  14. IT Project Management Profile | Department of Energy

    Energy Savers [EERE]

    Project Management Profile IT Project Management Profile This form lists positionsexperience and training relating to project management; include other positionsexperience or ...

  15. IT Project Management Profile | Department of Energy

    Energy Savers [EERE]

    Project Management Profile IT Project Management Profile This is a form that must be completed to initiate the assessment of a Project Manager to determine the level of ...

  16. Mentee Profile Form | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Mentee Profile Form (241.46 KB) More Documents & Publications Mentor Profile Form Tools for the Mentor Tools for the Mentee Benefits Executive Resources Learning and Workforce ...

  17. Sampling airborne microorganisms. Summary report, 1 October 1985-30 September 1986

    SciTech Connect (OSTI)

    Chatigny, M.A.

    1986-09-01

    In response to a rapidly increasing awarness of problems in air pollution and air hygiene, considerable emphasis has been placed on sampling of gaseous and particulate contaminants. Although included in the latter category, airborne microbes have not been considered major air pollutants as have chemical aerosols. They have been of some concern in extramural environments (plant diseases) and of considerable interest in intramural (hospital surgical theaters) environments. The intrinsic characteristics of microbes make them difficult to collect and assay quantitatively. The collection instrumentation available tends to be less sophisticated, though no less diverse, than that for other particulates and to require more processing after collection.

  18. INTERPRETATION OF AIRBORNE ELECTROMAGNETIC AND MAGNETIC DATA IN THE 600 AREA

    SciTech Connect (OSTI)

    CUMMINS GD

    2010-11-11

    As part of the 200-PO-1 Phase I geophysical surveys, Fugro Airborne Surveys was contracted to collect airborne electromagnetic (EM) and magnetic surveys of the Hanford Site 600 Area. Two helicopter survey systems were used with the HeliGEOTEM{reg_sign} time domain portion flown between June 19th and June 20th, 2008, and the RESOLVE{reg_sign} frequency domain portion was flown from June 29th to July 1st, 2008. Magnetic data were acquired contemporaneously with the electromagnetic surveys using a total-field cesium vapor magnetometer. Approximately 925 line kilometers (km) were flown using the HeliGEOTEM{reg_sign} II system and 412 line kilometers were flown using the RESOLVE{reg_sign} system. The HeliGEOTEM system has an effective penetration of roughly 250 meters into the ground and the RESOLVE system has an effective penetration of roughly 60 meters. Acquisition parameters and preliminary results are provided in SGW-39674, Airborne Electromagnetic Survey Report, 200-PO-1 Groundwater Operable Unit, 600 Area, Hanford Site. Airborne data are interpreted in this report in an attempt to identify areas of likely preferential groundwater flow within the aquifer system based on the presence of paleochannels or fault zones. The premise for the interpretation is that coarser-grained intervals have filled in scour channels created by episodic catastrophic flood events during the late Pleistocene. The interpretation strategy used the magnetic field anomaly data and existing bedrock maps to identify likely fault or lineament zones. Combined analysis of the magnetic, 60-Hz noise monitor, and flight-altitude (radar) data were used to identify zones where EM response is more likely due to cultural interference and or bedrock structures. Cross-sectional and map view presentations of the EM data were used to identify more electrically resistive zones that likely correlate with coarser-grained intervals. The resulting interpretation identifies one major northwest-southeast trending

  19. "Airborne Wind Energy - Harnessing a Vast, Untapped Renewable Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Source" | Princeton Plasma Physics Lab November 14, 2012, 4:15pm Colloquia MBG Auditorium "Airborne Wind Energy - Harnessing a Vast, Untapped Renewable Energy Source" Dr. Kenneth Jensen Makani Power Inc. At just 500 m above the ground, the average power density of the wind is double that at 100 m where wind turbines typically reside. This makes high-altitude wind one of the most concentrated forms of renewable energy after hydro-power. Building conventional wind turbines at

  20. Computerized Mathematical Models of Spray Washout of Airborne Contaminants (Radioactivity) in Containment Vessels.

    Energy Science and Technology Software Center (OSTI)

    2003-05-23

    Version 01 Distribution is restricted to the United States Only. SPIRT predicts the washout of airborne contaminants in containment vessels under postulated loss-of-coolant accident (LOCA) conditions. SPIRT calculates iodine removal constants (lambdas) for post-LOCA containment spray systems. It evaluates the effect of the spectrum of drop sizes emitted by the spray nozzles, the effect of drop coalescence, and the precise solution of the time-dependent diffusion equation. STEAM-67 routines are included for calculating the properties ofmore » steam and water according to the 1967 ASME Steam Tables.« less

  1. Atmospheric Science Program (ASP) Data Archive () | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Atmospheric Science Program (ASP) Data Archive Title: Atmospheric Science Program (ASP) Data Archive The Department of Energy's Atmospheric Science Program (ASP) originally ...

  2. Regional Ecosystem-Atmosphere CO2 Exchange Via Atmospheric Budgets

    SciTech Connect (OSTI)

    Davis, K.J.; Richardson, S.J.; Miles, N.L.

    2007-03-07

    Inversions of atmospheric CO2 mixing ratio measurements to determine CO2 sources and sinks are typically limited to coarse spatial and temporal resolution. This limits our ability to evaluate efforts to upscale chamber- and stand-level CO2 flux measurements to regional scales, where coherent climate and ecosystem mechanisms govern the carbon cycle. As a step towards the goal of implementing atmospheric budget or inversion methodology on a regional scale, a network of five relatively inexpensive CO2 mixing ratio measurement systems was deployed on towers in northern Wisconsin. Four systems were distributed on a circle of roughly 150-km radius, surrounding one centrally located system at the WLEF tower near Park Falls, WI. All measurements were taken at a height of 76 m AGL. The systems used single-cell infrared CO2 analyzers (Licor, model LI-820) rather than the siginificantly more costly two-cell models, and were calibrated every two hours using four samples known to within 0.2 ppm CO2. Tests prior to deployment in which the systems sampled the same air indicate the precision of the systems to be better than 0.3 ppm and the accuracy, based on the difference between the daily mean of one system and a co-located NOAA-ESRL system, is consistently better than 0.3 ppm. We demonstrate the utility of the network in two ways. We interpret regional CO2 differences using a Lagrangian parcel approach. The difference in the CO2 mixing ratios across the network is at least 2?3 ppm, which is large compared to the accuracy and precision of the systems. Fluxes estimated assuming Lagrangian parcel transport are of the same sign and magnitude as eddy-covariance flux measurements at the centrally-located WLEF tower. These results indicate that the network will be useful in a full inversion model. Second, we present a case study involving a frontal passage through the region. The progression of a front across the network is evident; changes as large as four ppm in one minute are

  3. Atmospheric corrosion of lithium electrodes

    SciTech Connect (OSTI)

    Johnson, C.J.

    1981-10-01

    Atmospheric corrosion of lithium during lithium-cell assembly and the dry storage of cells prior to electrolyte fill has been found to initiate lithium corrosion pits and to form corrosion products. Scanning Electron Microscopy (SEM) was used to investigate lithium pitting and the white floccullent corrosion products. Electron Spectroscopy for Chemical Analysis (ESCA) and Auger spectroscopy in combination with X-ray diffraction were used to characterize lithium surfaces. Lithium surfaces with corrosion products were found to be high in carbonate content indicating the presence of lithium carbonate. Lithium electrodes dry stored in unfilled batteries were found to contain high concentration of lithium flouride a possible corrosion product from gaseous materials from the carbon monofluoride cathode. Future investigations of the corrosion phenomena will emphasize the effect of the corrosion products on the electrolyte and ultimate battery performance. The need to protect lithium electrodes from atmospheric exposure is commonly recognized to minimize corrosion induced by reaction with water, oxygen, carbon dioxide or nitrogen (1). Manufacturing facilities customarily limit the relative humidity to less than two percent. Electrodes that have been manufactured for use in lithium cells are typically stored in dry-argon containers. In spite of these precautions, lithium has been found to corrode over a long time period due to residual gases or slow diffusion of the same into storage containers. The purpose of this investigation was to determine the nature of the lithium corrosion.

  4. ARM Airborne Carbon Measurements VI (ARM-ACME V) Science Plan

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... 4 4.1.2 Close the Large Gap in U.S. Methane Emissions Estimates ......Color gradient shows the upstream influence region on atmospheric measurements ...

  5. Airborne release fractions/rates and respirable fractions for nonreactor nuclear facilities. Volume 1, Analysis of experimental data

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    This handbook contains (1) a systematic compilation of airborne release and respirable fraction experimental data for nonreactor nuclear facilities, (2) assessments of the data, and (3) values derived from assessing the data that may be used in safety analyses when the data are applicable. To assist in consistent and effective use of this information, the handbook provides: identification of a consequence determination methodology in which the information can be used; discussion of the applicability of the information and its general technical limits; identification of specific accident phenomena of interest for which the information is applicable; and examples of use of the consequence determination methodology and airborne release and respirable fraction information.

  6. Flight Testing of an Advanced Airborne Natural Gas Leak Detection System

    SciTech Connect (OSTI)

    Dawn Lenz; Raymond T. Lines; Darryl Murdock; Jeffrey Owen; Steven Stearns; Michael Stoogenke

    2005-10-01

    ITT Industries Space Systems Division (Space Systems) has developed an airborne natural gas leak detection system designed to detect, image, quantify, and precisely locate leaks from natural gas transmission pipelines. This system is called the Airborne Natural Gas Emission Lidar (ANGEL) system. The ANGEL system uses a highly sensitive differential absorption Lidar technology to remotely detect pipeline leaks. The ANGEL System is operated from a fixed wing aircraft and includes automatic scanning, pointing system, and pilot guidance systems. During a pipeline inspection, the ANGEL system aircraft flies at an elevation of 1000 feet above the ground at speeds of between 100 and 150 mph. Under this contract with DOE/NETL, Space Systems was funded to integrate the ANGEL sensor into a test aircraft and conduct a series of flight tests over a variety of test targets including simulated natural gas pipeline leaks. Following early tests in upstate New York in the summer of 2004, the ANGEL system was deployed to Casper, Wyoming to participate in a set of DOE-sponsored field tests at the Rocky Mountain Oilfield Testing Center (RMOTC). At RMOTC the Space Systems team completed integration of the system and flew an operational system for the first time. The ANGEL system flew 2 missions/day for the duration for the 5-day test. Over the course of the week the ANGEL System detected leaks ranging from 100 to 5,000 scfh.

  7. Effects of airborne particulate matter on alternative pre-mRNA splicing in colon cancer cells

    SciTech Connect (OSTI)

    Buggiano, Valeria; Petrillo, Ezequiel; Alló, Mariano; Lafaille, Celina; Redal, María Ana; Alghamdi, Mansour A.; Khoder, Mamdouh I.; Shamy, Magdy; Muñoz, Manuel J.; and others

    2015-07-15

    Alternative pre-mRNA splicing plays key roles in determining tissue- and species-specific cell differentiation as well as in the onset of hereditary disease and cancer, being controlled by multiple post- and co-transcriptional regulatory mechanisms. We report here that airborne particulate matter, resulting from industrial pollution, inhibits expression and specifically affects alternative splicing at the 5′ untranslated region of the mRNA encoding the bone morphogenetic protein BMP4 in human colon cells in culture. These effects are consistent with a previously reported role for BMP4 in preventing colon cancer development, suggesting that ingestion of particulate matter could contribute to the onset of colon cell proliferation. We also show that the underlying mechanism might involve changes in transcriptional elongation. This is the first study to demonstrate that particulate matter causes non-pleiotropic changes in alternative splicing. - Highlights: • Airborne particulate matter (PM10) affects alternative splicing in colon cells. • PM10 upregulates one of the two mRNA variants of the growth factor BMP-4. • This variant has a longer 5′ unstranslated region and introduces an upstream AUG. • By regulating BMP-4 mRNA splicing PM10 inhibits total expression of BMP-4 protein. • BMP-4 downregulation was previously reported to be associated to colon cancer.

  8. Emergency Response Equipment and Related Training: Airborne Radiological Computer System (Model II)

    SciTech Connect (OSTI)

    David P. Colton

    2007-02-28

    The materials included in the Airborne Radiological Computer System, Model-II (ARCS-II) were assembled with several considerations in mind. First, the system was designed to measure and record the airborne gamma radiation levels and the corresponding latitude and longitude coordinates, and to provide a first overview look of the extent and severity of an accident's impact. Second, the portable system had to be light enough and durable enough that it could be mounted in an aircraft, ground vehicle, or watercraft. Third, the system must control the collection and storage of the data, as well as provide a real-time display of the data collection results to the operator. The notebook computer and color graphics printer components of the system would only be used for analyzing and plotting the data. In essence, the provided equipment is composed of an acquisition system and an analysis system. The data can be transferred from the acquisition system to the analysis system at the end of the data collection or at some other agreeable time.

  9. Mutagenic activity and chemical analysis of airborne particulates collected in Pisa (Italy)

    SciTech Connect (OSTI)

    Vellosi, R.; Fiorio, R.; Rosellini, D.; Bronzetti, G. ); Vannucchi, C.; Ciacchini, G.; Giaconi, V. ); Bianchi, F. )

    1994-03-01

    In the last few years there has been much concern about the problem connected to the exposure to mutagens present in the environment of industrialized countries. Particularly, the mutagenic activity of airborne particulate matter has been studied by many investigators and correlated with elevated lung cancer mortality rates. In most cases the Salmonella typhimurium/microsome test has been used for these studies. This short-term test, which is the most validated among the short-term genotoxicity tests, provides an important indication on the carcinogenic potential of environmental pollutants. That are complex mixtures containing a wide variety of compounds potentially capable of causing additive, antagonistic or synergistic genotoxic response in living organisms. Several studies have suggested that diverse factors, such as traffic and meteorological conditions, could affect the levels of pollutants in the air. In our work, we have investigated three different areas in Pisa, where the intensity and the kind of the road traffic were different. Airborne particles have been collected during a year and the genotoxic activity has been studied using TA98 and TA100 strains of Salmonella typhimurium. 20 refs., 1 fig., 3 tabs.

  10. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Renewable Electricity Profile 2010 California full profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood

  11. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Colorado Renewable Electricity Profile 2010 Colorado profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,777 100.0 Total Net Summer Renewable Capacity 2,010 14.6 Geothermal - - Hydro Conventional 662 4.8 Solar 41 0.3 Wind 1,294 9.4 Wood/Wood Waste - - MSW/Landfill Gas 3 * Other Biomass 10

  12. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Florida Renewable Electricity Profile 2010 Florida profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 59,222 100.0 Total Net Summer Renewable Capacity 1,182 2.0 Geothermal - - Hydro Conventional 55 0.1 Solar 123 0.2 Wind - - Wood/Wood Waste 344 0.6

  13. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hawaii Renewable Electricity Profile 2010 Hawaii profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Other Biomass Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,536 100.0 Total Net Summer Renewable Capacity 340 13.4 Geothermal 31 1.2 Hydro Conventional 24 0.9 Solar 2 0.1 Wind 62 2.4 Wood/Wood Waste - - MSW/Landfill Gas 60 2.4 Other Biomass

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Idaho Renewable Electricity Profile 2010 Idaho profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,990 100.0 Total Net Summer Renewable Capacity 3,140 78.7 Geothermal 10 0.3 Hydro Conventional 2,704 67.8 Solar - - Wind 352 8.8 Wood/Wood Waste 68 1.7 MSW/Landfill

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Illinois Renewable Electricity Profile 2010 Illinois profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 44,127 100.0 Total Net Summer Renewable Capacity 2,112 4.8 Geothermal - - Hydro Conventional 34 0.1 Solar 9 * Wind 1,946 4.4 Wood/Wood Waste - - MSW/Landfill Gas 123 0.3 Other Biomass - -

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Indiana Renewable Electricity Profile 2010 Indiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,638 100.0 Total Net Summer Renewable Capacity 1,452 5.3 Geothermal - - Hydro Conventional 60 0.2 Solar - - Wind 1,340 4.8 Wood/Wood Waste - - MSW/Landfill Gas 53 0.2 Other Biomass s *

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Iowa Renewable Electricity Profile 2010 Iowa profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,592 100.0 Total Net Summer Renewable Capacity 3,728 25.5 Geothermal - - Hydro Conventional 144 1.0 Solar - - Wind 3,569 24.5 Wood/Wood Waste - - MSW/Landfill Gas 11 0.1 Other Biomass 3 *

  18. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maine Renewable Electricity Profile 2010 Maine profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,430 100.0 Total Net Summer Renewable Capacity 1,692 38.2 Geothermal - - Hydro Conventional 738 16.6 Solar - - Wind 263 5.9 Wood/Wood Waste 600 13.6 MSW/Landfill Gas

  19. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Renewable Electricity Profile 2010 Michigan profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 29,831 100.0 Total Net Summer Renewable Capacity 807 2.7 Geothermal - - Hydro Conventional 237 0.8 Solar - - Wind 163 0.5 Wood/Wood Waste 232 0.8 MSW/Landfill Gas

  20. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Renewable Electricity Profile 2010 Minnesota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,715 100.0 Total Net Summer Renewable Capacity 2,588 17.6 Geothermal - - Hydro Conventional 193 1.3 Solar - - Wind 2,009 13.7 Wood/Wood Waste 177 1.2 MSW/Landfill Gas 134 0.9 Other

  1. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nevada Renewable Electricity Profile 2010 Nevada profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 11,421 100.0 Total Net Summer Renewable Capacity 1,507 13.2 Geothermal 319 2.8 Hydro Conventional 1,051 9.2 Solar 137 1.2 Wind - - Wood/Wood Waste - - MSW/Landfill

  2. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mexico Renewable Electricity Profile 2010 New Mexico profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,130 100.0 Total Net Summer Renewable Capacity 818 10.1 Geothermal - - Hydro Conventional 82 1.0 Solar 30 0.4 Wind 700 8.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 6 0.1

  3. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Renewable Electricity Profile 2010 New York profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2

  4. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Renewable Electricity Profile 2010 North Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10

  5. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Renewable Electricity Profile 2010 Ohio profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1

  6. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oklahoma Renewable Electricity Profile 2010 Oklahoma profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass

  7. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oregon Renewable Electricity Profile 2010 Oregon profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6

  8. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas Renewable Electricity Profile 2010 Texas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28

  9. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    United States Renewable Electricity Profile 2010 United States profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,039,137 100.0 Total Net Summer Renewable Capacity 132,711 12.8 Geothermal 2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8

  10. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Washington Renewable Electricity Profile 2010 Washington profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2

  11. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    California Renewable Electricity Profile 2010 California full profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood

  12. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Colorado Renewable Electricity Profile 2010 Colorado profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,777 100.0 Total Net Summer Renewable Capacity 2,010 14.6 Geothermal - - Hydro Conventional 662 4.8 Solar 41 0.3 Wind 1,294 9.4 Wood/Wood Waste - - MSW/Landfill Gas 3 * Other Biomass 10

  13. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Florida Renewable Electricity Profile 2010 Florida profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 59,222 100.0 Total Net Summer Renewable Capacity 1,182 2.0 Geothermal - - Hydro Conventional 55 0.1 Solar 123 0.2 Wind - - Wood/Wood Waste 344 0.6

  14. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Hawaii Renewable Electricity Profile 2010 Hawaii profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Other Biomass Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,536 100.0 Total Net Summer Renewable Capacity 340 13.4 Geothermal 31 1.2 Hydro Conventional 24 0.9 Solar 2 0.1 Wind 62 2.4 Wood/Wood Waste - - MSW/Landfill Gas 60 2.4 Other Biomass

  15. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Idaho Renewable Electricity Profile 2010 Idaho profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,990 100.0 Total Net Summer Renewable Capacity 3,140 78.7 Geothermal 10 0.3 Hydro Conventional 2,704 67.8 Solar - - Wind 352 8.8 Wood/Wood Waste 68 1.7 MSW/Landfill

  16. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Illinois Renewable Electricity Profile 2010 Illinois profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 44,127 100.0 Total Net Summer Renewable Capacity 2,112 4.8 Geothermal - - Hydro Conventional 34 0.1 Solar 9 * Wind 1,946 4.4 Wood/Wood Waste - - MSW/Landfill Gas 123 0.3 Other Biomass - -

  17. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Indiana Renewable Electricity Profile 2010 Indiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,638 100.0 Total Net Summer Renewable Capacity 1,452 5.3 Geothermal - - Hydro Conventional 60 0.2 Solar - - Wind 1,340 4.8 Wood/Wood Waste - - MSW/Landfill Gas 53 0.2 Other Biomass s *

  18. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Iowa Renewable Electricity Profile 2010 Iowa profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,592 100.0 Total Net Summer Renewable Capacity 3,728 25.5 Geothermal - - Hydro Conventional 144 1.0 Solar - - Wind 3,569 24.5 Wood/Wood Waste - - MSW/Landfill Gas 11 0.1 Other Biomass 3 *

  19. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Maine Renewable Electricity Profile 2010 Maine profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,430 100.0 Total Net Summer Renewable Capacity 1,692 38.2 Geothermal - - Hydro Conventional 738 16.6 Solar - - Wind 263 5.9 Wood/Wood Waste 600 13.6 MSW/Landfill Gas

  20. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Michigan Renewable Electricity Profile 2010 Michigan profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 29,831 100.0 Total Net Summer Renewable Capacity 807 2.7 Geothermal - - Hydro Conventional 237 0.8 Solar - - Wind 163 0.5 Wood/Wood Waste 232 0.8 MSW/Landfill Gas

  1. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Minnesota Renewable Electricity Profile 2010 Minnesota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,715 100.0 Total Net Summer Renewable Capacity 2,588 17.6 Geothermal - - Hydro Conventional 193 1.3 Solar - - Wind 2,009 13.7 Wood/Wood Waste 177 1.2 MSW/Landfill Gas 134 0.9 Other

  2. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Nevada Renewable Electricity Profile 2010 Nevada profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 11,421 100.0 Total Net Summer Renewable Capacity 1,507 13.2 Geothermal 319 2.8 Hydro Conventional 1,051 9.2 Solar 137 1.2 Wind - - Wood/Wood Waste - - MSW/Landfill

  3. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Mexico Renewable Electricity Profile 2010 New Mexico profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,130 100.0 Total Net Summer Renewable Capacity 818 10.1 Geothermal - - Hydro Conventional 82 1.0 Solar 30 0.4 Wind 700 8.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 6 0.1

  4. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    York Renewable Electricity Profile 2010 New York profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2

  5. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Dakota Renewable Electricity Profile 2010 North Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10

  6. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Ohio Renewable Electricity Profile 2010 Ohio profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1

  7. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Oklahoma Renewable Electricity Profile 2010 Oklahoma profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass

  8. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Oregon Renewable Electricity Profile 2010 Oregon profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6

  9. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Texas Renewable Electricity Profile 2010 Texas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28

  10. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Utah Renewable Electricity Profile 2010 Utah profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,497 100.0 Total Net Summer Renewable Capacity 528 7.0 Geothermal 42 0.6 Hydro Conventional 255 3.4 Solar - - Wind 222 3.0 Wood/Wood Waste - - MSW/Landfill Gas 9 0.1

  11. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    Washington Renewable Electricity Profile 2010 Washington profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2

  12. EIA - Renewable Electricity State Profiles

    U.S. Energy Information Administration (EIA) Indexed Site

    United States Renewable Electricity Profile 2010 United States profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,039,137 100.0 Total Net Summer Renewable Capacity 132,711 12.8 Geothermal 2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8

  13. Examination of objective analysis precision using wind profiler and radiosonde network data

    SciTech Connect (OSTI)

    Mace, G.G.; Ackerman, T.P.

    1996-04-01

    One of the principal research strategies that has emerged from the science team of the Atmospheric Radiation Measurement (ARM) Program is the use of a single column model (SCM). The basic assumption behind the SCM approach is that a cloud and radiation parameterization embedded in a general circulation model can be effectively tested and improved by extracting that column parameterization from the general circulation model and then driving this single column at the lateral boundaries of the column with diagnosed large-scale atmospheric forcing. A second and related assumption is that the large-scale atmospheric state, and hence the associated forcing, can be characterized directly from observations. One of the primary reasons that the Southern Great Plains (SGP) site is located in Lamont, Oklahoma, is because Lamont is at the approximate center of the NOM Wind Profiler Demonstration Array (WPDA). The assumption was that hourly average wind profiles provided by the 7 wind profilers (one Lamont and six surrounding it in a hexagon) coupled with radiosonde launches every three hours at 5 sites (Lamont plus four of the six profiler locations forming the hexagon) would be sufficient to characterize accurately the large-scale forcing at the site and thereby provide the required forcing for the SCM. The goal of this study was to examine these three assumptions.

  14. New and Improved Data Logging and Collection System for Atmospheric...

    Office of Scientific and Technical Information (OSTI)

    for Atmospheric Radiation Measurement Climate Research Facility, Tropical Western ... for Atmospheric Radiation Measurement Climate Research Facility, Tropical Western ...

  15. ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology...

    Office of Scientific and Technical Information (OSTI)

    engineering data Title: ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): engineering data Atmospheric Sounder Spectrometer for Infrared Spectral ...

  16. Water Vapor Turbulence Profiles in Stationary Continental Convective Mixed Layers

    SciTech Connect (OSTI)

    Turner, D. D.; Wulfmeyer, Volker; Berg, Larry K.; Schween, Jan

    2014-10-08

    The U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program’s Raman lidar at the ARM Southern Great Plains (SGP) site in north-central Oklahoma has collected water vapor mixing ratio (q) profile data more than 90% of the time since October 2004. Three hundred (300) cases were identified where the convective boundary layer was quasi-stationary and well-mixed for a 2-hour period, and q mean, variance, third order moment, and skewness profiles were derived from the 10-s, 75-m resolution data. These cases span the entire calendar year, and demonstrate that the q variance profiles at the mixed layer (ML) top changes seasonally, but is more related to the gradient of q across the interfacial layer. The q variance at the top of the ML shows only weak correlations (r < 0.3) with sensible heat flux, Deardorff convective velocity scale, and turbulence kinetic energy measured at the surface. The median q skewness profile is most negative at 0.85 zi, zero at approximately zi, and positive above zi, where zi is the depth of the convective ML. The spread in the q skewness profiles is smallest between 0.95 zi and zi. The q skewness at altitudes between 0.6 zi and 1.2 zi is correlated with the magnitude of the q variance at zi, with increasingly negative values of skewness observed lower down in the ML as the variance at zi increases, suggesting that in cases with larger variance at zi there is deeper penetration of the warm, dry free tropospheric air into the ML.

  17. Atmospheric Radiation Measurement Climate Research Facility Operations

    Office of Scientific and Technical Information (OSTI)

    Quarterly Report October 1-December 31, 2012 (Program Document) | SciTech Connect Program Document: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report October 1-December 31, 2012 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report October 1-December 31, 2012 Individual datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility

  18. Atmospheric Neutrino Oscillations Professor Takaaki Kajita

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmosphere to Electrons Atmosphere to Electrons Addthis Description Atmosphere to Electrons (A2e) is a multi-year U.S. Department of Energy (DOE) research initiative targeting significant reductions in the cost of wind energy through an improved understanding of the complex physics governing electricity generation by wind plants. The goal of A2e is to ensure future wind plants are sited, built, and operated in a way that produces the most cost-effective, usable electric power. Text Version

  19. Country Energy Profile, South Africa

    SciTech Connect (OSTI)

    1995-08-01

    This country energy profile provides energy and economic information about South Africa. Areas covered include: Economics, demographics, and environment; Energy situation; Energy structure; Energy investment opportunities; Department of Energy (DOE) programs in South Africa; and a listing of International aid to South Africa.

  20. MODELING OF CHANGING ELECTRODE PROFILES

    SciTech Connect (OSTI)

    Prentice, Geoffrey Allen

    1980-12-01

    A model for simulating the transient behavior of solid electrodes undergoing deposition or dissolution has been developed. The model accounts for ohmic drop, charge transfer overpotential, and mass transport limitations. The finite difference method, coupled with successive overrelaxation, was used as the basis of the solution technique. An algorithm was devised to overcome the computational instabilities associated with the calculations of the secondary and tertiary current distributions. Simulations were performed on several model electrode profiles: the sinusoid, the rounded corner, and the notch. Quantitative copper deposition data were obtained in a contoured rotating cylinder system, Sinusoidal cross-sections, machined on stainless steel cylinders, were used as model geometries, Kinetic parameters for use in the simulation were determined from polarization curves obtained on copper rotating cylinders, These parameters, along with other physical property and geometric data, were incorporated in simulations of growing sinusoidal profiles. The copper distributions on the sinusoidal cross-sections were measured and found to compare favorably with the simulated results. At low Wagner numbers the formation of a slight depression at the profile peak was predicted by the simulation and observed on the profile. At higher Wagner numbers, the simulated and experimental results showed that the formation of a depression was suppressed. This phenomenon was shown to result from the competition between ohmic drop and electrode curvature.

  1. STUDY OF SINGLE-LOBED CIRCULAR POLARIZATION PROFILES IN THE QUIET SUN

    SciTech Connect (OSTI)

    Sainz Dalda, A.; Martinez-Sykora, J.; Title, A.; Bellot Rubio, L. E-mail: asainz@lmsal.com

    2012-03-20

    The existence of asymmetries in the circular polarization (Stokes V) profiles emerging from the solar photosphere has been known since the 1970s. These profiles require the presence of a velocity gradient along the line of sight (LOS), possibly associated with gradients of magnetic field strength, inclination, and/or azimuth. We have focused our study on the Stokes V profiles showing extreme asymmetry in the form of only one lobe. Using Hinode spectropolarimetric measurements, we have performed a statistical study of the properties of these profiles in the quiet Sun. We show their spatial distribution, their main physical properties, how they are related with several physical observables, and their behavior with respect to their position on the solar disk. The single-lobed Stokes V profiles occupy roughly 2% of the solar surface. For the first time, we have observed their temporal evolution and have retrieved the physical conditions of the atmospheres from which they emerged using an inversion code implementing discontinuities of the atmospheric parameters along the LOS. In addition, we use synthetic Stokes profiles from three-dimensional magnetoconvection simulations to complement the results of the inversion. The main features of the synthetic single-lobed profiles are in general agreement with the observed ones, lending support to the magnetic and dynamic topologies inferred from the inversion. The combination of all these different analyses suggests that most of the single-lobed Stokes V profiles are signals coming from the magnetic flux emergence and/or submergence processes taking place in small patches in the photosphere of the quiet Sun.

  2. A Doppler lidar for measuring winds in the middle atmosphere

    SciTech Connect (OSTI)

    Chanin, M.L.; Garnier, A.; Hauchecorne, A.; Porteneuve, J. )

    1989-11-01

    The possibility of measuring winds in the middle atmosphere with a Doppler lidar has just been demonstrated. It is aimed at studying the wave-mean flow interaction, when used is association with the Rayleigh lidar providing density and temperature profiles and their fluctuations. The new Doppler lidar relies on the Rayleigh scattering from air molecules is designed to cover the height range 25-60 km, a region where radars cannot operate. The Doppler shift to the backscattered echo is measured by inter-comparing the signal detected through each of the two high-resolution, narrow band-pass Fabry-Perot interferometers tuned on either side of the emitted laser line.

  3. Atmospheric Radiation Measurement Program Science Plan. Current...

    Office of Scientific and Technical Information (OSTI)

    Radiation Measurement Program Science Plan. Current Status and Future Directions of the ARM Science Program Citation Details In-Document Search Title: Atmospheric Radiation ...

  4. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Office of Scientific and Technical Information (OSTI)

    Title: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly ... are collected and sent to the Data Management Facility (DMF) at Pacific Northwest ...

  5. Atmospheric Radiation Measurement Program Climate Research Facility...

    Office of Scientific and Technical Information (OSTI)

    Title: Atmospheric Radiation Measurement Program Climate Research Facility Operations ... are collected and sent to the Data Management Facility (DMF) at Pacific Northwest ...

  6. Correcting radar range measurements for atmospheric propagation...

    Office of Scientific and Technical Information (OSTI)

    Title: Correcting radar range measurements for atmospheric propagation effects. Abstract not provided. Authors: Doerry, Armin Walter Publication Date: 2013-12-01 OSTI Identifier: ...

  7. Atmospheric Radiation Measurement Program Science Plan. Current...

    Office of Scientific and Technical Information (OSTI)

    Program Science Plan. Current Status and Future Directions of the ARM Science Program Citation Details In-Document Search Title: Atmospheric Radiation Measurement Program Science ...

  8. Atmospheric Ionization Mass Spectrometry Capabilities at Sandia...

    Office of Scientific and Technical Information (OSTI)

    Mass Spectrometry Capabilities at Sandia National Labs. Citation Details In-Document Search Title: Atmospheric Ionization Mass Spectrometry Capabilities at Sandia National Labs. ...

  9. ARM - Publications: Science Team Meeting Documents: Atmospheric...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Modes of Drizzling Stratus at the ARM SGP Site Kollias, Pavlos RSMASUniversity of Miami Albrecht, Bruce University of Miami The representation of boundary layer clouds ...

  10. PRECISION DETERMINATION OF ATMOSPHERIC EXTINCTION AT OPTICAL...

    Office of Scientific and Technical Information (OSTI)

    State-of-the-art models of atmospheric radiation transport and modern codes are used to ... Country of Publication: United States Language: English Subject: 79 ASTROPHYSICS, ...

  11. Assessment of radionuclides (uranium and thorium) atmospheric...

    Office of Scientific and Technical Information (OSTI)

    Title: Assessment of radionuclides (uranium and thorium) atmospheric pollution around Manjung district, Perak using moss as bio-indicator Bio-monitoring method using mosses have ...

  12. Search for: "atmospheric radiation measurement" | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    ... Atmospheric Radiation Measurement (ARM) Data from Shouxian, China for the Study of Aerosol Indirect Effects in China In a complex ARM Mobile Facility (AMF) deployment, monitoring ...

  13. Evaluation of Routine Atmospheric Sounding Measurements using...

    Office of Scientific and Technical Information (OSTI)

    using Unmanned Systems (ERASMUS) Science Plan Citation Details In-Document Search Title: Evaluation of Routine Atmospheric Sounding Measurements using Unmanned Systems ...

  14. Retrieving 4-dimensional atmospheric boundary layer structure...

    Office of Scientific and Technical Information (OSTI)

    (BER) (SC-23) Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES Atmospheric System Research Word Cloud More Like This Full Text preview ...

  15. Atmosphere to Electrons | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Atmosphere to Electrons Atmosphere to Electrons Atmosphere to Electrons Atmosphere to Electrons (A2e) is a multi-year U.S. Department of Energy (DOE) research initiative targeting significant reductions in the cost of wind energy through an improved understanding of the complex physics governing electricity generation by wind plants. The goal of A2e is to ensure future wind plants are sited, built, and operated in a way that produces the most cost-effective, usable electric power. To achieve

  16. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused particle growth while...

  17. Search for: "atmospheric radiation measurement" | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    measurement" 50 results for: "atmospheric radiation measurement" Full Text and Citations Filters Filter Search Results Everything (Citations and Full Text) (50 results) ...

  18. Sea ice - atmosphere interaction: Application of multispectral...

    Office of Scientific and Technical Information (OSTI)

    Application of multispectral satellite data in polar surface energy flux estimates. ... Title: Sea ice - atmosphere interaction: Application of multispectral satellite data in ...

  19. Machine vision based particle size and size distribution determination of airborne dust particles of wood and bark pellets

    SciTech Connect (OSTI)

    Igathinathane, C; Pordesimo, L.O.

    2009-08-01

    Dust management strategies in industrial environment, especially of airborne dust, require quantification and measurement of size and size distribution of the particles. Advanced specialized instruments that measure airborne particle size and size distribution apply indirect methods that involve light scattering, acoustic spectroscopy, and laser diffraction. In this research, we propose a simple and direct method of airborne dust particle dimensional measurement and size distribution analysis using machine vision. The method involves development of a user-coded ImageJ plugin that measures particle length and width and analyzes size distribution of particles based on particle length from high-resolution scan images. Test materials were airborne dust from soft pine wood sawdust pellets and ground pine tree bark pellets. Subsamples prepared by dividing the actual dust using 230 mesh (63 m) sieve were analyzed as well. A flatbed document scanner acquired the digital images of the dust particles. Proper sampling, layout of dust particles in singulated arrangement, good contrast smooth background, high resolution images, and accurate algorithm are essential for reliable analysis. A halo effect around grey-scale images ensured correct threshold limits. The measurement algorithm used Feret s diameter for particle length and pixel-march technique for particle width. Particle size distribution was analyzed in a sieveless manner after grouping particles according to their distinct lengths, and several significant dimensions and parameters of particle size distribution were evaluated. Results of the measurement and analysis were presented in textual and graphical formats. The developed plugin was evaluated to have a dimension measurement accuracy in excess of 98.9% and a computer speed of analysis of <8 s/image. Arithmetic mean length of actual wood and bark pellets airborne dust particles were 0.1138 0.0123 and 0.1181 0.0149 mm, respectively. The airborne dust particles of

  20. Ellerman bombs—evidence for magnetic reconnection in the lower solar atmosphere

    SciTech Connect (OSTI)

    Nelson, C. J.; Doyle, J. G.; Madjarska, M. S.; Shelyag, S.; Mathioudakis, M.; Uitenbroek, H.; Erdélyi, R.

    2013-12-20

    The presence of photospheric magnetic reconnection has long been thought to give rise to short and impulsive events, such as Ellerman bombs (EBs) and Type II spicules. In this article, we combine high-resolution, high-cadence observations from the Interferometric BIdimensional Spectrometer and Rapid Oscillations in the Solar Atmosphere instruments at the Dunn Solar Telescope, National Solar Observatory, New Mexico, with co-aligned Solar Dynamics Observatory Atmospheric Imaging Assembly and Hinode Solar Optical Telescope (SOT) data to observe small-scale events situated within an active region. These data are then compared with state-of-the-art numerical simulations of the lower atmosphere made using the MURaM code. It is found that brightenings, in both the observations and the simulations, of the wings of the Hα line profile, interpreted as EBs, are often spatially correlated with increases in the intensity of the Fe I λ6302.5 line core. Bipolar regions inferred from Hinode/SOT magnetic field data show evidence of flux cancellation associated, co-spatially, with these EBs, suggesting that magnetic reconnection could be a driver of these high-energy events. Through the analysis of similar events in the simulated lower atmosphere, we are able to infer that line profiles analogous to the observations occur co-spatially with regions of strong opposite-polarity magnetic flux. These observed events and their simulated counterparts are interpreted as evidence of photospheric magnetic reconnection at scales observable using current observational instrumentation.

  1. Remote Sensing of Cirrus Particle Size Vertical Profile Using 1.38 μm

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Spectrum and MODIS/ARM Data Remote Sensing of Cirrus Particle Size Vertical Profile Using 1.38 μm Spectrum and MODIS/ARM Data Wang, Xingjuan UCLA Department of Atmospheric & Oceanic Sciences Liou, Kuo-Nan UCLA Ou, Szu-cheng University of California, Los Angeles Takano, Yoshihede UCLA Department of Atmospheric & Oceanic Sciences Chen, Yong UCLA Category: Cloud Properties The time series of backscattering coefficients derived from lidar and Doppler millimeter-wave radar returns, as

  2. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, S-band Radar (williams-s_band)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Williams, Christopher

    2012-11-06

    This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

  3. Meteorological and pollutant profiles under very stable conditions

    SciTech Connect (OSTI)

    Wesely, M.L.; Coulter, R.L.

    1983-01-01

    The nocturnal boundary layer (NBL) can become very stable, with wind and temperature increasing rapidly with height and a local wind maximum often occurring near the top of the boundary layer. The wind speed, potential temperature, moisture, and ozone profiles in the NBL above flat terrain were studied by Argonne National Laboratory in the early morning and late evening during the Central Illinois Rainfall Convection Experiment (CIRCE) in July, 1979, with sensors carried aloft by a tethered kytoon. One aim was to examine closely the shape of profiles at heights of about 20 to 200 m by taking measurements at closely spaced height intervals. The tethered balloon was held at each level for a time sufficient for all sensors to come to equilibrium with the local atmosphere; this typically required 2 to 5 min at each level. It was possible to detect changes in spatial trends in profiles in real time, so that smaller height intervals could be used if the changes seemed important. As a result, greater resolution was achieved than is normally obtained with instruments attached to towers or to free balloons.

  4. Quality Assurance Project Plan for radioactive airborne emissions data compilation and reporting

    SciTech Connect (OSTI)

    Burris, S.A.; Thomas, S.P.

    1994-02-01

    This Quality Assurance Project Plan addresses the quality assurance requirements for compiling data from radioactie aiborne emissions. These data will be reported to the US Environmental Protection Agency, the US Department of Energy, and the Washington State Department of Health. Hanford Site radioactive airborne emissions are reported to the US Environmental Protection Agency in compliance with Title 40, Protection of the Environment, Code of Federal Regulations, Part 61, ``National Emissions Standards for Hazardous Air Pollutants , ``Subpart H, ``National Emissions Standards for Emissions of Radionuclides Other Than Radon From Department of Energy Facilities`` (EPA 1989a). Reporting to US Department of Energy is performed in compliance with requirements of US Department of Energy Order 5400.1, General Environmental Protection Program (DOE 1988a).

  5. Airborne Multisensor Pod System, Arms control and nonproliferation technologies: Second quarter 1995

    SciTech Connect (OSTI)

    Alonzo, G M; Sanford, N M

    1995-01-01

    This issue focuses on the Airborne Multisensor Pod System (AMPS) which is a collaboration of many of the DOE national laboratories to provide a scientific environment to research multiple sensors and the new information that can be derived from them. The bulk of the research has been directed at nonproliferation applications, but it has also proven useful in environmental monitoring and assessment, and land/water management. The contents of this issue are: using AMPS technology to detect proliferation and monitor resources; combining multisensor data to monitor facilities and natural resources; planning a AMPS mission; SAR pod produces images day or night, rain or shine; MSI pod combines data from multiple sensors; ESI pod will analyze emissions and effluents; and accessing AMPS information on the Internet.

  6. Geophex Airborne Unmanned Survey System (GAUSS). Topical report, October 1993--September 1996

    SciTech Connect (OSTI)

    1998-12-31

    This document is a Final Technical Report that describes the results of the Geophex Airborne Unmanned Survey System (GAUSS) research project. The objectives were to construct a geophysical data acquisition system that uses a remotely operated unmanned aerial vehicle (UAV) and to evaluate its effectiveness for characterization of hazardous environmental sites. The GAUSS is a data acquisition system that mitigates the potential risk to personnel during geophysical characterization of hazardous or radioactive sites. The fundamental basis of the GAUSS is as follows: (1) an unmanned survey vehicle carries geophysical sensors into a hazardous location, (2) the pilot remains outside the hazardous site and operates the vehicle using radio control, (3) geophysical measurements and their spatial locations are processed by an automated data-acquisition system which displays data on an off-site monitor in real-time, and (4) the pilot uses the display to direct the survey vehicle for complete site coverage. The objective of our Phase I research was to develop a data acquisition and processing (DAP) subsystem and geophysical sensors suitable for UAV deployment. We integrated these two subsystems to produce an automated, hand-held geophysical surveying system. The objective of the Phase II effort was to modify the subsystems and integrate them into an airborne prototype. The completed GAUSS DAP system consists of a UAV platform, a laser tracking and ranging subsystem, a telemetry subsystem, light-weight geophysical sensors, a base-station computer (BC), and custom-written survey control software (SCS). We have utilized off-the-shelf commercial products, where possible, to reduce cost and design time.

  7. NREL: Process Development and Integration Laboratory - Atmospheric

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Processing Platform Capabilities Research Process Development and Integration Laboratory Printable Version Atmospheric Processing Platform Capabilities The Atmospheric Processing platform in the Process Development and Integration Laboratory offers powerful capabilities with integrated tools for depositing, processing, and characterizing photovoltaic materials and devices. In particular, this platform focuses on different methods to deposit ("write") materials onto a variety of

  8. Atmospheric sampling glow discharge ionization source

    DOE Patents [OSTI]

    McLuckey, S.A.; Glish, G.L.

    1989-07-18

    An atmospheric sampling glow discharge ionization source that can be used in combination with an analytical instrument which operates at high vacuum, such as a mass spectrometer. The atmospheric sampling glow discharge ionization source comprises a chamber with at least one pair of electrodes disposed therein, an inlet for a gaseous sample to be analyzed and an outlet communicating with an analyzer which operates at subatmospheric pressure. The ionization chamber is maintained at a pressure below atmospheric pressure, and a voltage difference is applied across the electrodes to induce a glow discharge between the electrodes, so that molecules passing through the inlet are ionized by the glow discharge and directed into the analyzer. The ionization source accepts the sample under atmospheric pressure conditions and processes it directly into the high vacuum instrument, bridging the pressure gap and drawing off unwanted atmospheric gases. The invention also includes a method for analyzing a gaseous sample using the glow discharge ionization source described above. 3 figs.

  9. Atmospheric sampling glow discharge ionization source

    DOE Patents [OSTI]

    McLuckey, Scott A. (Oak Ridge, TN); Glish, Gary L. (Oak Ridge, TN)

    1989-01-01

    An atmospheric sampling glow discharge ionization source that can be used in combination with an analytical instrument which operates at high vacuum, such as a mass spectrometer. The atmospheric sampling glow discharge ionization source comprises a chamber with at least one pair of electrodes disposed therein, an inlet for a gaseous sample to be analyzed and an outlet communicating with an analyzer which operates at subatmospheric pressure. The ionization chamber is maintained at a pressure below atmospheric pressure, and a voltage difference is applied across the electrodes to induce a glow discharge between the electrodes, so that molecules passing through the inlet are ionized by the glow discharge and directed into the analyzer. The ionization source accepts the sample under atmospheric pressure conditions and processes it directly into the high vacuum instrument, bridging the pressure gap and drawing off unwanted atmospheric gases. The invention also includes a method for analyzing a gaseous sample using the glow discharge ionization source described above.

  10. State Renewable Electricity Profiles 2010

    U.S. Energy Information Administration (EIA) Indexed Site

    Renewable Electricity Profiles 2010 March 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as

  11. LANSCE | News & Media | Profiles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Los Alamos Neutron Science Center lansce.lanl.gov lansce-user-office@lanl.gov phone: 505.665.1010 mesa header Beam Status Accelerator Ops (Internal) Operating Schedule Long Range Operating Schedule User Resources User Agreements Proposals Visit Registration Schedules Experiment Reports User Satisfaction Survey Reviews Users User Office User Program LANSCE User Group Rosen Scholar Rosen Prize News & Multimedia News Multimedia Events Profiles Highlights Seminars Activity Reports The Pulse User

  12. Profile for Enrique Ricardo Batista

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Enrique Ricardo Batista Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Enrique Ricardo Batista Enrique Batista Email Phone (505) 667-8177 Expertise Computational studies of molecular systems and materials using first-principle quantum mechanical methodologies Theoretical chemistry and molecular physics Heavy

  13. Profile for Jack S. Shlachter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jack S. Shlachter Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Jack S. Shlachter Jack Shlachter Email Phone (505) 665-1888 Capabilities Accelerators and Electrodynamics Plasma physics High Energy Density Plasmas and Fluids High energy density physics (HED) Magneto inertial fusion (MIF) Materials Materials

  14. Profile for Nathan Andrew Moody

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nathan Andrew Moody Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Nathan Andrew Moody Nathan Moody Email Phone (505) 667-1502 Capabilities Accelerators and Electrodynamics High power linear accelerator science and technology Free-electron laser (FEL) High-power radio frequency systems High current particle

  15. Profile for Patrick M. Kelly

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Patrick M. Kelly Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Patrick M. Kelly Patrick Kelly Email Phone (505) 665-4665 Expertise Patrick Kelly is the Group Leader for the Information Sciences Group (CCS-3) at Los Alamos National Laboratory. This multidisciplinary group develops computational methods necessary

  16. Profile for Thomas Charles Terwilliger

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Thomas Charles Terwilliger Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Thomas Charles Terwilliger Thomas Terwilliger Email Phone (505) 667-0072 Expertise Follow Tom Terwilliger on: ResearchGate LinkedIn Twitter Macromolecular X-ray crystallography - Development of algorithms and software for determining crystal

  17. Profile for Timothy C. Germann

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Timothy C. Germann Profile Pages View homepages for scientists and researchers. Explore potential collaborations and project opportunities. Search the extensive range of capabilities by keyword to quickly find who and what you are looking for. submit Timothy C. Germann Tim Germann Email Phone (505) 665-9772 Capabilities Biosciences Epidemiology modeling Pandemic preparedness Chemical Science Physical chemistry Energetic materials Computational Physics and Applied Mathematics Computational

  18. State coal profiles, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-02

    The purpose of State Coal Profiles is to provide basic information about the deposits, production, and use of coal in each of the 27 States with coal production in 1992. Although considerable information on coal has been published on a national level, there is a lack of a uniform overview for the individual States. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. While focusing on coal output, State Coal Profiles shows that the coal-producing States are major users of coal, together accounting for about three-fourths of total US coal consumption in 1992. Each coal-producing State is profiled with a description of its coal deposits and a discussion of the development of its coal industry. Estimates of coal reserves in 1992 are categorized by mining method and sulfur content. Trends, patterns, and other information concerning production, number of mines, miners, productivity, mine price of coal, disposition, and consumption of coal are detailed in statistical tables for selected years from 1980 through 1992. In addition, coal`s contribution to the State`s estimated total energy consumption is given for 1991, the latest year for which data are available. A US summary of all data is provided for comparing individual States with the Nation as a whole. Sources of information are given at the end of the tables.

  19. The Atmospheric Dynamics Mission on the International Space Station--A new technique for observing winds in the atmosphere

    SciTech Connect (OSTI)

    Ingmann, P.; Readings, C. J.; Knott, K.

    1999-01-22

    For the post-2000 time-frame two general classes of Earth Observation missions have been identified to address user requirements (see e.g. ESA, 1995), namely Earth Watch and Earth Explorer missions. One of the candidate Earth Explorer Missions selected for Phase A study is the Atmospheric Dynamics Mission which is intended to exploit a Doppler wind lidar, ALADIN, to measure winds in clear air (ESA, 1995 and ESA, 1996). It is being studied as a candidate for flight on the International Space Station (ISS) as an externally attached payload. The primary, long-term objective of the Atmospheric Dynamics Mission is to provide observations of wind profiles (e.g. radial wind component). Such data would be assimilated into numerical forecasting models leading to an improvement in objective analyses and hence in Numerical Weather Prediction. The mission would also provide data needed to address some of the key concerns of the World Climate Research Programme (WCRP) i.e. quantification of climate variability, validation and improvement of numerical models and process studies relevant to climate change. The newly acquired data would also help realize some of the objectives of the Global Climate Observing System (GCOS)

  20. ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5...

    Office of Scientific and Technical Information (OSTI)

    The goal of these measurements is to improve understanding of 1) the carbon exchange of the Atmospheric Radiation Measurement (ARM) SGP region; 2) how CO2 and associated water and ...

  1. State Electricity Profiles | Open Energy Information

    Open Energy Info (EERE)

    Profiles Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: State Electricity Profiles Abstract On this website, the U.S. Energy Information...

  2. Profiling users in the UNIX os environment

    SciTech Connect (OSTI)

    Dao, V N P; Vemuri, R; Templeton, S J

    2000-09-29

    This paper presents results obtained by using a method of profiling a user based on the login host, the login time, the command set, and the command set execution time of the profiled user. It is assumed that the user is logging onto a UNIX host on a computer network. The paper concentrates on two areas: short-term and long-term profiling. In short-term profiling the focus is on profiling the user at a given session where user characteristics do not change much. In long-term profiling, the duration of observation is over a much longer period of time. The latter is more challenging because of a phenomenon called concept or profile drift. Profile drift occurs when a user logs onto a host for an extended period of time (over several sessions).

  3. ARM - Field Campaign - Microwave Radiometer Profiler Evaluation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsMicrowave Radiometer Profiler Evaluation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Microwave Radiometer Profiler Evaluation 2000.09.01 - 2001.03.31 Lead Scientist : James Liljegren For data sets, see below. Abstract The microwave radiometer profiler (MWRP) is a new 12-channel radiometer developed by Radiometrics Corporation for measuring vertical profiles of temperature, water vapor, and

  4. ARM - Field Campaign - Microwave Radiometer Profiler Evaluation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsMicrowave Radiometer Profiler Evaluation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Microwave Radiometer Profiler Evaluation 2000.02.25 - 2000.08.22 Lead Scientist : James Liljegren For data sets, see below. Abstract The microwave radiometer profiler (MWRP) is a new 12-channel radiometer developed by Radiometrics Corporation for measuring vertical profiles of temperature, water vapor, and

  5. Recent Developments on the Broadband Heating Rate Profile Value-Added Product

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Recent Developments on the Broadband Heating Rate Profile Value-Added Product E. J. Mlawer, J. S. Delamere, and S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, Massachusetts M. A. Miller and K. L. Johnson Brookhaven National Laboratory Upton, New York T. R. Shippert and C. N. Long Pacific Northwest National Laboratory Richland, Washington R. G. Ellingson Florida State University Tallahassee, Florida M. H. Zhang State University of New York - Stony Brook Albany, New York R.

  6. SWiFT site atmospheric characterization

    SciTech Connect (OSTI)

    Kelley, Christopher Lee; Ennis, Brandon Lee

    2016-01-01

    Historical meteorological tall tower data are analyzed from the Texas Tech University 200 m tower to characterize the atmospheric trends of the Scaled Wind Farm Technologies (SWiFT) site. In this report the data are analyzed to reveal bulk atmospheric trends, temporal trends and correlations of atmospheric variables. Through this analysis for the SWiFT turbines the site International Electrotechnical Commission (IEC) classification is determined to be class III-C. Averages and distributions of atmospheric variables are shown, revealing large fluctuations and the importance of understanding the actual site trends as opposed to simply using averages. The site is significantly directional with the average wind speed from the south, and particularly so in summer and fall. Site temporal trends are analyzed from both seasonal (time of the year) to daily (hour of the day) perspectives. Atmospheric stability is seen to vary most with time of day and less with time of year. Turbulence intensity is highly correlated with stability, and typical daytime unstable conditions see double the level of turbulence intensity versus that experienced during the average stable night. Shear, veer and atmospheric stability correlations are shown, where shear and veer are both highest for stable atmospheric conditions. An analysis of the Texas Tech University tower anemometer measurements is performed which reveals the extent of the tower shadow effects and sonic tilt misalignment.

  7. Source Term Estimation of Radioxenon Released from the Fukushima Dai-ichi Nuclear Reactors Using Measured Air Concentrations and Atmospheric Transport Modeling

    SciTech Connect (OSTI)

    Eslinger, Paul W.; Biegalski, S.; Bowyer, Ted W.; Cooper, Matthew W.; Haas, Derek A.; Hayes, James C.; Hoffman, Ian; Korpach, E.; Yi, Jing; Miley, Harry S.; Rishel, Jeremy P.; Ungar, R. Kurt; White, Brian; Woods, Vincent T.

    2014-01-01

    Systems designed to monitor airborne radionuclides released from underground nuclear explosions detected radioactive fallout from the Fukushima Daiichi nuclear accident in March 2011. Atmospheric transport modeling (ATM) of plumes of noble gases and particulates were performed soon after the accident to determine plausible detection locations of any radioactive releases to the atmosphere. We combine sampling data from multiple International Modeling System (IMS) locations in a new way to estimate the magnitude and time sequence of the releases. Dilution factors from the modeled plume at five different detection locations were combined with 57 atmospheric concentration measurements of 133-Xe taken from March 18 to March 23 to estimate the source term. This approach estimates that 59% of the 1.24×1019 Bq of 133-Xe present in the reactors at the time of the earthquake was released to the atmosphere over a three day period. Source term estimates from combinations of detection sites have lower spread than estimates based on measurements at single detection sites. Sensitivity cases based on data from four or more detection locations bound the source term between 35% and 255% of available xenon inventory.

  8. Stable Spheromaks with Profile Control

    SciTech Connect (OSTI)

    Fowler, T K; Jayakumar, R

    2008-01-29

    A spheromak equilibrium with zero edge current is shown to be stable to both ideal MHD and tearing modes that normally produce Taylor relaxation in gun-injected spheromaks. This stable equilibrium differs from the stable Taylor state in that the current density j falls to zero at the wall. Estimates indicate that this current profile could be sustained by non-inductive current drive at acceptable power levels. Stability is determined using the NIMROD code for linear stability analysis. Non-linear NIMROD calculations with non-inductive current drive could point the way to improved fusion reactors.

  9. ARM: 1290-MHz Radar Wind Profiler, precipitation moments data...

    Office of Scientific and Technical Information (OSTI)

    1290-MHz Radar Wind Profiler, precipitation moments data Title: ARM: 1290-MHz Radar Wind Profiler, precipitation moments data 1290-MHz Radar Wind Profiler, precipitation moments ...

  10. ARM: Temperature Profiles from Raman Lidar at 10-min averaging...

    Office of Scientific and Technical Information (OSTI)

    Temperature Profiles from Raman Lidar at 10-min averaging interval Title: ARM: Temperature Profiles from Raman Lidar at 10-min averaging interval Temperature Profiles from Raman ...

  11. Assessment of Unabated Facility Emission Potentials for Evaluating Airborne Radionuclide Monitoring Requirements at Pacific Northwest National Laboratory - 1999

    SciTech Connect (OSTI)

    DL Edwards; KD Shields; MJ Sula; MY Ballinger

    1999-09-28

    Assessments were performed to evaluate compliance with the airborne radionuclide emission monitoring requirements in the National Emission Standards for Hazardous Air Pollutants (NESHAP--US Code of Federal Regulations, Title 40 Part 61, Subpart H). In these assessments, potential unabated offsite doses were evaluated for emission locations at facilities owned by the US Department of Energy and operated by Pacific Northwest National Laboratory (Pacific Northwest) on the Hanford Site. Two of the facilities evaluated, 325 Building Radiochemical Processing Laboratory, and 331 Building Life Sciences Laboratory met state and federal criteria for continuous sampling of airborne radionuclide emissions. One other building, the 3720 Environmental Sciences Laboratory, was recognized as being in transition with the potential for meeting the continuous sampling criteria.

  12. Operating Experience Level 3, Atmospheric Dispersion Parameter...

    Broader source: Energy.gov (indexed) [DOE]

    5 OE-3 2015-02: Atmospheric Dispersion Parameter (xQ) for Calculation of Co-located Worker Dose This Operating Experience Level 3 (OE-3) document informs the complex of the...

  13. Composition and Reactions of Atmospheric Aerosol Particles

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A large portion of the microscopic particles floating in the air originate from incomplete combustion of coal and oil and from dust storms. Once in the atmosphere, they can have ...

  14. Reducing the atmospheric impact of wet slaking

    SciTech Connect (OSTI)

    B.D. Zubitskii; G.V. Ushakov; B.G. Tryasunov; A.G.Ushakov

    2009-05-15

    Means of reducing the atmospheric emissions due to the wet slaking of coke are considered. One option, investigated here, is to remove residual active silt and organic compounds from the biologically purified wastewater sent for slaking, by coagulation and flocculation.

  15. Free Floating Atmospheric Pressure Ball Plasmas

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Free-Floating Atmospheric Pressure Ball Plasmas G. A. Wurden, Z. Wang, C. Ticos Los Alamos National Laboratory L Al NM 87545 USA Los Alamos, NM 87545 USA C. J. v. Wurden Los Alamos...

  16. Airborne studies of submicron aerosol in the troposphere over West Siberia

    SciTech Connect (OSTI)

    Panchenko, M.V.; Zuev, V.E.; Belan, B.D.; Terpugova, S.A.

    1996-04-01

    Submicron fraction particles that have the longest lifespan and are included in almost all atmospheric processes are of special importance among the great variety of sizes of particles present in the atmosphere. Submicron particles mainly determine the opticle state of the atmosphere in the visible spectral range, essentially cause the absorption of infrared radiation and, since they are the products and participants in all aerosol-to-gas transformations, accumulate of a lot of various chemical compounds and transfer them to large distances. Investigation of the processes of the spatial-temporal variability of aerosol particles for different climatic zones of the earth is the experimental base for studying their effect on climatically and ecologically significant factors and estimating their unfavorable tendencies. The increasing anthropogenic loading of the earth`s atmosphere is creating an urgency for aerosol research. Regardless of how perfect the analytical and numerical methods of solving radiation problems may be, success in forecasting climatic change is mainly determined by the reliability of the experimental data on optical parameters of the atmosphere and of the description of their variability under the effect of external factors.

  17. ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    26 ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign Reports SC Biraud MS Torn January 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents

  18. PWR AXIAL BURNUP PROFILE ANALYSIS

    SciTech Connect (OSTI)

    J.M. Acaglione

    2003-09-17

    The purpose of this activity is to develop a representative ''limiting'' axial burnup profile for pressurized water reactors (PWRs), which would encompass the isotopic axial variations caused by different assembly irradiation histories, and produce conservative isotopics with respect to criticality. The effect that the low burnup regions near the ends of spent fuel have on system reactivity is termed the ''end-effect''. This calculation will quantify the end-effects associated with Pressurized Water Reactor (PWR) fuel assemblies emplaced in a hypothetical 21 PWR waste package. The scope of this calculation covers an initial enrichment range of 3.0 through 5.0 wt% U-235 and a burnup range of 10 through 50 GWd/MTU. This activity supports the validation of the process for ensuring conservative generation of spent fuel isotopics with respect to criticality safety applications, and the use of burnup credit for commercial spent nuclear fuel. The intended use of these results will be in the development of PWR waste package loading curves, and applications involving burnup credit. Limitations of this evaluation are that the limiting profiles are only confirmed for use with the B&W 15 x 15 fuel assembly design. However, this assembly design is considered bounding of all other typical commercial PWR fuel assembly designs. This calculation is subject to the Quality Assurance Requirements and Description (QARD) because this activity supports investigations of items or barriers on the Q-list (YMP 2001).

  19. Technology evaluation for space station atmospheric leakage

    SciTech Connect (OSTI)

    Lemon, D.K.; Friesel, M.A.; Griffin, J.W.; Skorpik, J.R.; Shepard, C.L.; Antoniak, Z.I.; Kurtz, R.J.

    1990-02-01

    A concern in operation of a space station is leakage of atmosphere through seal points and through the walls as a result of damage from particle (space debris and micrometeoroid) impacts. This report describes a concept for a monitoring system to detect atmosphere leakage and locate the leak point. The concept is based on analysis and testing of two basic methods selected from an initial technology survey of potential approaches. 18 refs., 58 figs., 5 tabs.

  20. Air Activation Following an Atmospheric Explosion

    SciTech Connect (OSTI)

    Lowrey, Justin D.; McIntyre, Justin I.; Prichard, Andrew W.; Gesh, Christopher J.

    2013-03-13

    In addition to thermal radiation and fission products, nuclear explosions result in a very high flux of unfissioned neutrons. Within an atmospheric nuclear explosion, these neutrons can activate the various elemental components of natural air, potentially adding to the radioactive signature of the event as a whole. The goal of this work is to make an order-of-magnitude estimate of the total amount of air activation products that can result from an atmospheric nuclear explosion.