Sample records for determination alaska-tribe-interior regional

  1. CX-003246: Categorical Exclusion Determination | Department of...

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

    Alaska-Tribe-Interior Regional Housing Authority Minto Village CX(s) Applied: B2.5, B5.1 Date: 07262010 Location(s): Minto, Alaska Office(s): Energy Efficiency and Renewable...

  2. Determining the Hubble constant using HII regions and HII galaxies

    E-Print Network [OSTI]

    Chavez, Ricardo; Terlevich, Roberto; Plionis, Manolis; Bresolin, Fabio; Basilakos, Spyros; Melnick, Jorge

    2012-01-01T23:59:59.000Z

    We report the first results of a long term program aiming to provide accurate independent estimates of the Hubble constant (H0) and the Dark Energy equation of state parameter (w) using the L(Hbeta)-velocity dispersion (sigma) distance estimator for Giant HII regions and HII galaxies. We have used VLT and Subaru high dispersion spectroscopic observations of a local sample of HII galaxies, identified in the SDSS DR7 catalogue in order to re-define and improve the L(Hbeta) - sigma distance indicator and to determine the Hubble constant. To this end we used as local calibration or 'anchor' of this correlation, giant HII regions in nearby galaxies which have accurate distance measurements determined via primary indicators. Using our best sample of 89 nearby HII galaxies and 23 Giant HII regions in 9 galaxies we obtain H0 = 73.9+- 2.7 (statistical)+- 2.9 (systematic) km s-1 Mpc-1, in excellent agreement with, and independently confirming, the most recent SNe Ia based results.

  3. US Army Corps of Engineers Caribbean Islands Region Version 2.0 WETLAND DETERMINATION DATA FORM Caribbean Islands Region

    E-Print Network [OSTI]

    US Army Corps of Engineers

    US Army Corps of Engineers Caribbean Islands Region ­ Version 2.0 WETLAND DETERMINATION DATA FORM ­ Caribbean Islands Region Project/Site: Municipality/Town: Sampling Date: Applicant/Owner: PR or USVI or problematic. Hydrophytic Vegetation Present? Yes No Remarks: #12;US Army Corps of Engineers Caribbean Islands

  4. Pick any region of the US from Alaska to Florida to New Mexico, and determine

    E-Print Network [OSTI]

    Auerbach, Scott M.

    Research: Pick any region of the US from Alaska to Florida to New Mexico, and determine the most to store this energy effectively. Therefore, your task is to think of new ways to store renewable energy

  5. Collisional excitation of hydrogen and the determination of the primordial helium abundance from H II regions

    E-Print Network [OSTI]

    G. Stasinska; Y. I. Izotov

    2001-09-17T23:59:59.000Z

    This paper investigates the effect of collisional enhancement of the hydrogen lines on the derivation of the helium abundances in low metallicity H II regions. For this, we have constructed a grid of photoionization models relevant for the analysis of giant \\hii regions in blue compact galaxies. We show that the effect of collisional excitation on the Halpha/Hbeta ratio can be quite important (up to 8% or more). The impact of this effect on the determination of the helium mass fraction has been tracked on four low-metallicity blue compact galaxies for which Keck spectra are available and which are among the best objects for the quest of the pregalactic helium abundance. We find that taking into account the effects of collisional excitation of hydrogen results in an upward correction of the helium mass fraction Y by up to 5%. However, combining with other systematic effects usually not considered in the determination of the helium abundance in low-metallicity galaxies, the resulting uncertainty should be much less.

  6. An analytical inversion method for determining regional and global emissions of greenhouse gases: Sensitivity studies and application to halocarbons

    E-Print Network [OSTI]

    Stohl, A.

    A new analytical inversion method has been developed to determine the regional and global emissions of long-lived atmospheric trace gases. It exploits in situ measurement data from three global networks and builds on ...

  7. A new multiparametric topological method for determining the primary cosmic ray mass composition in the knee energy region

    E-Print Network [OSTI]

    M. Ambrosio; C. Aramo; D. D'Urso; A. D. Erlykin; F. Guarino; A. Insolia

    2004-10-07T23:59:59.000Z

    The determination of the primary cosmic ray mass composition from the characteristics of extensive air showers (EAS), obtained at an observation level in the lower half of the atmosphere, is still an open problem. In this work we propose a new method of the Multiparametric Topological Analysis and show its applicability for the determination of the mass composition of the primary cosmic rays at the PeV energy region.

  8. SIMULATION OF A TYPICAL HOUSE IN THE REGION OF ANTANANARIVO, MADAGASCAR DETERMINATION OF PASSIVE SOLUTIONS USING LOCAL MATERIALS

    E-Print Network [OSTI]

    Boyer, Edmond

    SIMULATION OF A TYPICAL HOUSE IN THE REGION OF ANTANANARIVO, MADAGASCAR DETERMINATION OF PASSIVE union ABSTRACT This paper deals with new proposals for the design of passive solutions adapted use raw wood to warm the poorly designed houses. This leads to a large scale deforestation

  9. Building America Best Practices Series: Guide to Determining Climate Regions by County

    SciTech Connect (OSTI)

    Gilbride, Theresa L.

    2008-10-01T23:59:59.000Z

    This document describes the eight climate region designations used by the US Department of Energy Building America Program. In addition to describing the climate zones, the document includes a complete list of every county in the United States and their climate region designations. The county lists are grouped by state. The doucment is intended to assist builders to easily identify what climate region they are building in and therefore which climate-specific Building America best practices guide would be most appropriate for them.

  10. Building America Best Practices Series: Volume 7.1: Guide to Determining Climate Regions by County

    SciTech Connect (OSTI)

    Baechler, Michael C.; Williamson, Jennifer L.; Gilbride, Theresa L.; Cole, Pamala C.; Hefty, Marye G.; Love, Pat M.

    2010-08-30T23:59:59.000Z

    This report for DOE's Building America program helps builders identify which Building America climate region they are building in. The guide includes maps comparing the Building America regions with climate designations used in the International Energy Conservation Code for Residential Buildings and lists all U.S. counties by climate zone. A very brief history of the development of the Building America climate map and descriptions of each climate zone are provided. This report is available on the Building America website www.buildingamerica.gov.

  11. Theoretical Determination of the $?N?$ Electromagnetic Transition Amplitudes in the $?(1232)$ Region

    E-Print Network [OSTI]

    Milton Dean Slaughter

    1999-03-08T23:59:59.000Z

    We utilize non-perturbative and fully relativistic methods to calculate the\\thinspace \\thinspace $\\Delta N\\gamma $ electromagnetic transition amplitudes $G_{M}^{*}(q^{2})$ (related to the magnetic dipole moment $% M_{1^{+}}^{3/2}(q^{2})$), $G_{E}^{*}(q^{2})$ (related to the electric quadrupole moment $E_{1^{+}}^{3/2}(q^{2})$), the electromagnetic ratio $% R_{EM}(q^{2})\\equiv -G_{E}^{*}(q^{2})/G_{M}^{*}(q^{2})=E_{1^{+}}^{3/2}(q^{2})/M_{1^{+}}^{3/2}(q^{2} ) $, and discuss their $q^{2}$ behavior in the $\\Delta (1232)$ mass region. These are very important quantities which arise in all viable quark, QCD, or perturbative QCD models of pion electroproduction and photoproduction.

  12. Determination

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign: Potential Application to ARM MeasurementsDetermination of

  13. Determination of Depleted Uranium in Environmental Bio-monitor Samples and Soil from Target sites in Western Balkan Region

    SciTech Connect (OSTI)

    Sahoo, Sarata K.; Enomoto, Hiroko; Tokonami, Shinji; Ishikawa, Tetsuo [National Institute of Radiological Sciences, 4-9-1 Anagawa, Inage-ku, Chiba 263-8555 (Japan); Ujic, Predrag; Celikovic, Igor; Zunic, Zora S. [Institute of Nuclear Sciences, Vinca, Mike Petrovica Alasa 12-14, 11000 Belgrade (Serbia)

    2008-08-07T23:59:59.000Z

    Lichen and Moss are widely used to assess the atmospheric pollution by heavy metals and radionuclides. In this paper, we report results of uranium and its isotope ratios using mass spectrometric measurements (followed by chemical separation procedure) for mosses, lichens and soil samples from a depleted uranium (DU) target site in western Balkan region. Samples were collected in 2003 from Han Pijesak (Republika Srpska in Bosnia and Hercegovina). Inductively coupled plasma mass spectrometry (ICP-MS) measurements show the presence of high concentration of uranium in some samples. Concentration of uranium in moss samples ranged from 5.2-755.43 Bq/Kg. We have determined {sup 235}U/{sup 238}U isotope ratio using thermal ionization mass spectrometry (TIMS) from the samples with high uranium content and the ratios are in the range of 0.002097-0.002380. TIMS measurement confirms presence of DU in some samples. However, we have not noticed any traces of DU in samples containing lesser amount of uranium or from any samples from the living environment of same area.

  14. Primordial 4He abundance: a determination based on the largest sample of HII regions with a methodology tested on model HII regions

    E-Print Network [OSTI]

    Izotov, Y I; Guseva, N G

    2013-01-01T23:59:59.000Z

    We verified the validity of the empirical method to derive the 4He abundance used in our previous papers by applying it to CLOUDY (v13.01) models. Using newly published HeI emissivities, for which we present convenient fits as well as the output CLOUDY case B hydrogen and HeI line intensities, we found that the empirical method is able to reproduce the input CLOUDY 4He abundance with an accuracy of better than 1%. The CLOUDY output data also allowed us to derive the non-recombination contribution to the intensities of the strongest Balmer hydrogen Halpha, Hbeta, Hgamma, and Hdelta emission lines and the ionisation correction factors for He. With these improvements we used our updated empirical method to derive the 4He abundances and to test corrections for several systematic effects in a sample of 1610 spectra of low-metallicity extragalactic HII regions, the largest sample used so far. From this sample we extracted a subsample of 111 HII regions with Hbeta equivalent width EW(Hbeta) > 150A, with excitation p...

  15. The determination of the Reynolds shear stress distribution in the transition region resulting from a sudden increase in wall roughness in a two-dimensional channel

    E-Print Network [OSTI]

    Heilhecker, Joe Keith

    1962-01-01T23:59:59.000Z

    THE DETERMINATION OF THE REYNOLDS SHEAR STRESS DISTRIBUTION IN THE TRANSITION REGION RESULTING FROM A SUDDEN INCREASE IN WALL ROUGHNESS IN A TWO-DIMENSIONAL CHANNEL A Thesis By JOE K. HEI LHE CKER Submitted to the Graduate School... REGION RESULTING FROM A SUDDEN INCREASE IN WALL ROUGHNESS IN A TWO-DIMEN4$ONAL CHANNEL A Thesis By JOE K. HEI LHE CKER Approved as to style and content by: (Chairm o C mittee) (Head of Department) May 1962 TAB LE OF CONTE NT S Page List...

  16. Magnetic Field Clumping in Massive Star-Forming Regions as Determined from Excited-State OH Absorption and Maser Emission

    E-Print Network [OSTI]

    Vincent L. Fish; Mark J. Reid; Karl M. Menten

    2005-01-10T23:59:59.000Z

    We have observed six high-mass star-forming regions in the 2 Pi 3/2, J = 7/2 lines of OH using the GBT in order to investigate whether the magnetic field, and hence the density, measured in absorption differs from that implied by maser Zeeman splitting. We detect absorption in both the 13441 and 13434 MHz main lines in all six sources. Zeeman splitting in the F = 3-3 absorption line in W3(OH) implies a line-of-sight magnetic field strength of 3.0 +/- 0.3 mG. This is significantly less than full magnetic field strengths detected from OH maser Zeeman splitting, suggesting that OH maser regions may be denser than the non-masing OH material by a factor of several. Zeeman splitting is not detected in other sources, but we are able to place upper limits on B_parallel of 1.2 mG in G10.624-0.385 and 2.9 mG in K3-50. These results are consistent with a density enhancement of the masers, but other explanations for the lower magnetic field in absorption compared to maser emission are possible for these two sources. Absorption in one or both of the 13442 and 13433 MHz satellite lines is also seen in four sources. This is the very first detection of the 2 Pi 3/2, J = 7/2 satellite lines. Ratios of satellite-line to main-line absorption suggest enhancement of the satellite lines from local thermodynamic equilibrium values. Masers are seen in the F = 4-4 and 3-3 transitions of W3(OH) and the 4-4 transition of ON 1. A previously undetected 4-4 maser is seen near -44.85 km/s in W3(OH).

  17. A Comparative SWOT Analysis of the National Agricultural Extension Program Organization to Determine Best-Fit Program Model: A Case Study of the North West and South West Regions of Cameroon.

    E-Print Network [OSTI]

    Nyambi, Gwendoline

    2012-07-16T23:59:59.000Z

    A COMPARATIVE SWOT ANALYSIS OF THE NATIONAL AGRICULTURAL EXTENSION PROGRAM ORGANIZATION TO DETERMINE BEST-FIT PROGRAM MODEL: A CASE STUDY OF THE NORTH WEST AND SOUTH WEST REGIONS OF CAMEROON A Dissertation by GWENDOLINE NA-AH NYAMBI... A Comparative SWOT Analysis of the National Agricultural Extension Program Organization to Determine Best-Fit Program Model: A Case Study of the North West and South West Regions of Cameroon Copyright 2012 Gwendoline Na-ah Nyambi A COMPARATIVE...

  18. Determination of the Azimuthal Asymmetry of Deuteron Photodisintegration in the Energy Region E{sub {gamma}} = 1.1 - 2.3 GeV

    SciTech Connect (OSTI)

    Nicholas Zachariou

    2012-05-20T23:59:59.000Z

    Deuteron photodisintegration is a benchmark process for the investigation of the role of quarks and gluons in nuclei. Existing theoretical models of this process describe the available cross sections with the same degree of success. Therefore, spin-dependent observables are crucial for a better understanding of the underlying dynamical mechanisms. However, data on the induced polarization (P{sub y}), along with the polarization transfers (C{sub x'} and C{sub z'} ), have been shown to be insensitive to differences between theoretical models. On the other hand, the beam-spin asymmetry {Sigma} is predicted to have a large sensitivity and is expected to help in identifying the energy at which the transition from the hadronic to the quark-gluon picture of the deuteron takes place. Here, the work done to determine the experimental values of the beam-spin asymmetry in deuteron photodisintegration for photon energies between 1.1 ? 2.3 GeV is presented. The data were taken with the CLAS at the Thomas Jefferson National Accelerator Facility during the g13 experiment. Photons with linear polarization of ~80% were produced using the coherent bremsstrahlung facility in Hall B. The work done by the author to calibrate a specific detector system, select deuteron photodisintegration events, study the degree of photon polarization, and finally determine the azimuthal asymmetry and any systematic uncertainties associate with it, is comprehensively explained. This work shows that the collected data provide the kinematic coverage and statistics to test the available QCD-based models. The results of this study show that the available theoretical models in their current state do not adequately predict the azimuthal asymmetry in the energy region 1.1 ? 2.3 GeV.

  19. Determination of the Beam-Spin Asymmetry of Deuteron Photodisintegration in the Energy Region $E_\\gamma=1.1-2.3$ GeV

    E-Print Network [OSTI]

    Zachariou, Nicholas; Ivanov, Nikolay Ya; Sargsian, Misak M; Avakian, Robert; Feldman, Gerald; Nadel-Turonski, Pawel; Adhikari, K P; Adikaram, D; Anderson, M D; Pereira, S Anefalos; Avakian, H; Badui, R A; Baltzell, N A; Battaglieri, M; Baturin, V; Bedlinskiy, I; Biselli, A S; Briscoe, W J; Brooks, W K; Burkert, V D; Cao, T; Carman, D S; Celentano, A; Chandavar, S; Charles, G; Colaneri, L; Cole, P L; Compton, N; Contalbrigo, M; Cortes, O; Crede, V; D'Angelo, A; De Vita, R; De Sanctis, E; Deur, A; Djalali, C; Dupre, R; Egiyan, H; Alaoui, A El; Fassi, L El; Elouadrhiri, L; Fedotov, G; Fegan, S; Filippi, A; Fleming, J A; Forest, T A; Fradi, A; Gevorgyan, N; Ghandilyan, Y; Gilfoyle, G P; Giovanetti, K L; Girod, F X; Glazier, D I; Golovatch, E; Gothe, R W; Griffioen, K A; Guidal, M; Hafidi, K; Hanretty, C; Harrison, N; Hattawy, M; Hicks, K; Ho, D; Holtrop, M; Hughes, S M; Ireland, D G; Ishkhanov, B S; Isupov, E L; Jiang, H; Jo, H S; Joo, K; Keller, D; Khachatryan, G; Khandaker, M; Kim, A; Kim, W; Klein, F J; Kubarovsky, V; Lenisa, P; Livingston, K; Lu, H Y; MacGregor, I J D; Markov, N; Mattione, P T; McKinnon, B; Mineeva, T; Mirazita, M; Mokeeev, V I; Montgomery, R A; Moutarde, H; Camacho, C Munoz; Net, L A; Niccolai, S; Niculescu, G; Niculescu, I; Osipenko, M; Ostrovidov, A I; Park, K; Pasyuk, E; Phelps, W; Phillips, J J; Pisano, S; Pogorelko, O; Pozdniakov, S; Price, J W; Procureur, S; Prok, Y; Protopopescu, D; Puckett, A J R; Ripani, M; Rizzo, A; Rosner, G; Rossi, P; Roy, P; Sabati, F; Salgado, C; Schott, D; Schumacher, R A; Seder, E; Senderovich, I; Sharabian, Y G; Skorodumina, Iu; Smith, G D; Sober, D I; Sokhan, D; Sparveris, N; Stepanyan, S; Strauch, S; Sytnik, V; Taiuti, M; Tian, Ye; Ungaro, M; Voskanyan, H; Voutier, E; Walford, N K; Watts, D; Wei, X; Wood, M H; Zana, L; Zhang, J; Zhao, Z W; Zonta, I

    2015-01-01T23:59:59.000Z

    The beam-spin asymmetry, $\\Sigma$, for the reaction $\\gamma d\\rightarrow pn$ has been measured using the CEBAF Large Acceptance Spectrometer (CLAS) at the Thomas Jefferson National Accelerator Facility (JLab) for six photon-energy bins between 1.1 and 2.3 GeV, and proton angles in the center-of-mass frame, $\\theta_{c.m.}$, between $25^\\circ$ and $160^\\circ$. These are the first measurements of beam-spin asymmetries at $\\theta_{c.m.}=90^\\circ$ for photon-beam energies above 1.6 GeV, and the first measurements for angles other than $\\theta_{c.m.}=90^\\circ$. The angular and energy dependence of $\\Sigma$ is expected to aid in the development of QCD-based models to understand the mechanisms of deuteron photodisintegration in the transition region between hadronic and partonic degrees of freedom, where both effective field theories and perturbative QCD cannot make reliable predictions.

  20. Determination of the Beam-Spin Asymmetry of Deuteron Photodisintegration in the Energy Region $E_?=1.1-2.3$ GeV

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

    Zachariou, Nicholas [University of South Carolina; et. al.,

    2015-05-01T23:59:59.000Z

    The beam-spin asymmetry, Sigma, for the reaction ?d-->pn has been measured using the CEBAF Large Acceptance Spectrometer (CLAS) at the Thomas Jefferson National Accelerator Facility (JLab) for six photon-energy bins, between 1.1 and 2.3 GeV, and proton angles in the center-of-mass frame, thetac.m., between 25degrees and 160degrees. These are the first measurements of beam-spin asymmetries at thetac.m.=90degrees for photon-beam energies above 1.6 GeV, and the first measurements for angles other than thetac.m.=90degrees. The angular and energy dependence of Sigma is expected to aid in the development of QCD-based models to understand the mechanisms of deuteron photodisintegration in the transition region between hadronic and partonic degrees of freedom, where both effective field theories and perturbative QCD cannot make reliable predictions.

  1. Determination of the Beam-Spin Asymmetry of Deuteron Photodisintegration in the Energy Region $E_?=1.1-2.3$ GeV

    E-Print Network [OSTI]

    Nicholas Zachariou; Yordanka Ilieva; Nikolay Ya. Ivanov; Misak M Sargsian; Robert Avakian; Gerald Feldman; Pawel Nadel-Turonski; K. P. Adhikari; D. Adikaram; M. D. Anderson; S. Anefalos Pereira; H. Avakian; R. A. Badui; N. A. Baltzell; M. Battaglieri; V. Baturin; I. Bedlinskiy; A. S. Biselli; W. J. Briscoe; W. K. Brooks; V. D. Burkert; T. Cao; D. S. Carman; A. Celentano; S. Chandavar; G. Charles; L. Colaneri; P. L. Cole; N. Compton; M. Contalbrigo; O. Cortes; V. Crede; A. D'Angelo; R. De Vita; E. De Sanctis; A. Deur; C. Djalali; R. Dupre; H. Egiyan; A. El Alaoui; L. El Fassi; L. Elouadrhiri; G. Fedotov; S. Fegan; A. Filippi; J. A. Fleming; T. A. Forest; A. Fradi; N. Gevorgyan; Y. Ghandilyan; G. P. Gilfoyle; K. L. Giovanetti; F. X. Girod; D. I. Glazier; E. Golovatch; R. W. Gothe; K. A. Griffioen; M. Guidal; K. Hafidi; C. Hanretty; N. Harrison; M. Hattawy; K. Hicks; D. Ho; M. Holtrop; S. M. Hughes; D. G. Ireland; B. S. Ishkhanov; E. L. Isupov; H. Jiang; H. S. Jo; K. Joo; D. Keller; G. Khachatryan; M. Khandaker; A. Kim; W. Kim; F. J. Klein; V. Kubarovsky; P. Lenisa; K. Livingston; H. Y. Lu; I . J . D. MacGregor; N. Markov; P. T. Mattione; B. McKinnon; T. Mineeva; M. Mirazita; V. I. Mokeeev; R. A. Montgomery; H. Moutarde; C. Munoz Camacho; L. A. Net; S. Niccolai; G. Niculescu; I. Niculescu; M. Osipenko; A. I. Ostrovidov; K. Park; E. Pasyuk; W. Phelps; J. J. Phillips; S. Pisano; O. Pogorelko; S. Pozdniakov; J. W. Price; S. Procureur; Y. Prok; D. Protopopescu; A. J. R. Puckett; M. Ripani; A. Rizzo; G. Rosner; P. Rossi; P. Roy; F. Sabati; C. Salgado; D. Schott; R. A. Schumacher; E. Seder; I. Senderovich; Y. G. Sharabian; Iu. Skorodumina; G. D. Smith; D. I. Sober; D. Sokhan; N. Sparveris; S. Stepanyan; S. Strauch; V. Sytnik; M. Taiuti; Ye Tian; M. Ungaro; H. Voskanyan; E. Voutier; N. K. Walford; D. Watts; X. Wei; M. H. Wood; L. Zana; J. Zhang; Z. W. Zhao; I. Zonta; for the CLAS collaboration

    2015-03-18T23:59:59.000Z

    The beam-spin asymmetry, $\\Sigma$, for the reaction $\\gamma d\\rightarrow pn$ has been measured using the CEBAF Large Acceptance Spectrometer (CLAS) at the Thomas Jefferson National Accelerator Facility (JLab) for six photon-energy bins between 1.1 and 2.3 GeV, and proton angles in the center-of-mass frame, $\\theta_{c.m.}$, between $25^\\circ$ and $160^\\circ$. These are the first measurements of beam-spin asymmetries at $\\theta_{c.m.}=90^\\circ$ for photon-beam energies above 1.6 GeV, and the first measurements for angles other than $\\theta_{c.m.}=90^\\circ$. The angular and energy dependence of $\\Sigma$ is expected to aid in the development of QCD-based models to understand the mechanisms of deuteron photodisintegration in the transition region between hadronic and partonic degrees of freedom, where both effective field theories and perturbative QCD cannot make reliable predictions.

  2. Experimental determination of the radial dose distribution in high gradient regions around {sup 192}Ir wires: Comparison of electron paramagnetic resonance imaging, films, and Monte Carlo simulations

    SciTech Connect (OSTI)

    Kolbun, N.; Leveque, Ph.; Abboud, F.; Bol, A.; Vynckier, S.; Gallez, B. [Biomedical Magnetic Resonance Unit, Louvain Drug Research Institute, Universite catholique de Louvain, Avenue Mounier 73.40, B-1200 Brussels (Belgium); Molecular Imaging and Experimental Radiotherapy Unit, Institute of Experimental and Clinical Research, Universite catholique de Louvain, Avenue Hippocrate 55, B-1200 Brussels (Belgium); Biomedical Magnetic Resonance Unit, Louvain Drug Research Institute, Universite catholique de Louvain, Avenue Mounier 73.40, B-1200 Brussels (Belgium)

    2010-10-15T23:59:59.000Z

    Purpose: The experimental determination of doses at proximal distances from radioactive sources is difficult because of the steepness of the dose gradient. The goal of this study was to determine the relative radial dose distribution for a low dose rate {sup 192}Ir wire source using electron paramagnetic resonance imaging (EPRI) and to compare the results to those obtained using Gafchromic EBT film dosimetry and Monte Carlo (MC) simulations. Methods: Lithium formate and ammonium formate were chosen as the EPR dosimetric materials and were used to form cylindrical phantoms. The dose distribution of the stable radiation-induced free radicals in the lithium formate and ammonium formate phantoms was assessed by EPRI. EBT films were also inserted inside in ammonium formate phantoms for comparison. MC simulation was performed using the MCNP4C2 software code. Results: The radical signal in irradiated ammonium formate is contained in a single narrow EPR line, with an EPR peak-to-peak linewidth narrower than that of lithium formate ({approx}0.64 and 1.4 mT, respectively). The spatial resolution of EPR images was enhanced by a factor of 2.3 using ammonium formate compared to lithium formate because its linewidth is about 0.75 mT narrower than that of lithium formate. The EPRI results were consistent to within 1% with those of Gafchromic EBT films and MC simulations at distances from 1.0 to 2.9 mm. The radial dose values obtained by EPRI were about 4% lower at distances from 2.9 to 4.0 mm than those determined by MC simulation and EBT film dosimetry. Conclusions: Ammonium formate is a suitable material under certain conditions for use in brachytherapy dosimetry using EPRI. In this study, the authors demonstrated that the EPRI technique allows the estimation of the relative radial dose distribution at short distances for a {sup 192}Ir wire source.

  3. CX-005022: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005022: Categorical Exclusion Determination Small Wind Turbine Regional Test Center, Canyon Texas; National Renewable Energy Laboratory Tracking...

  4. Council's Regional Hydropower Potential Scoping

    E-Print Network [OSTI]

    Council's Regional Hydropower Potential Scoping Study Generating Resources Advisory Committee 11 to determine potential, and draw conclusions Determine if realistic, reasonable assumption for hydropower at existing non-powered dams, and upgrades at existing hydropower facilities #12;Questions Asked Can

  5. CX-008507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  6. CX-009326: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  7. CX-011434: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011434: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase III (Categorical Exclusion (CX)-A Tasks) CX(s)...

  8. CX-007388: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  9. CX-008563: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06132012...

  10. CX-007872: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007872: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  11. CX-007873: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  12. CX-007867: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  13. CX-005993: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005993: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.1 Date: 05262011...

  14. Rutgers Regional Report # Regional Report

    E-Print Network [OSTI]

    Garfunkel, Eric

    , population, income, and building permits over a 32-year period from 1969 to 2001 for the 31-county Tri counties of the Tri-State (Connecticut, New Jersey, and New York) Region have been divided for analytical the nation and the Tri-State Region. What has not been fully documented, however, is the apparent shift

  15. Northeast Regional Biomass Program

    SciTech Connect (OSTI)

    Lusk, P.D.

    1992-12-01T23:59:59.000Z

    The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

  16. ENVIRONMENTAL REVIEW FOR CATEGOIUCAL EXCLUSION DETERMINATION

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

    CATEGOIUCAL EXCLUSION DETERMINATION Rocky Mountain Region, Western Area Power Administration Ogallala Substation Drainage Control Keith County, Nebraska A. Brief Description of...

  17. CX-002605: Categorical Exclusion Determination | Department of...

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

    CX-002605: Categorical Exclusion Determination Characterization of Most Promising Carbon Capture and Sequestration Formations in the Central Rocky Mountain Region CX(s)...

  18. CX-000413: Categorical Exclusion Determination | Department of...

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

    CX-000413: Categorical Exclusion Determination Characterization of Most Promising Carbon Capture and Sequestration Formations in the Central Rocky Mountain Region CX(s)...

  19. CX-000416: Categorical Exclusion Determination | Department of...

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

    CX-000416: Categorical Exclusion Determination Characterization of Most Promising Carbon Capture and Sequestration Formations in the Central Rocky Mountain Region CX(s)...

  20. CX-000415: Categorical Exclusion Determination | Department of...

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

    CX-000415: Categorical Exclusion Determination Characterization of Most Promising Carbon Capture and Sequestration Formations in the Central Rocky Mountain Region CX(s)...

  1. CX-002604: Categorical Exclusion Determination | Department of...

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

    CX-002604: Categorical Exclusion Determination Characterization of Most Promising Carbon Capture and Sequestration Formations in the Central Rocky Mountain Region CX(s)...

  2. ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION

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

    excluded waste storage, disposal, recovery, or treatment actions or facilities; ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION Rocky Mountain Region, Western Area...

  3. ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION

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

    excluded waste storage, disposal, recovery, or treatment actions or facilities; 1 ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION Rocky Mountain Region, Western Area...

  4. ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION

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

    with its foundation well above a sole-source aquifer or upland surface soil 1 ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION Rocky Mountain Region, Western Area...

  5. Regional Summary Pacific Region Management Context

    E-Print Network [OSTI]

    , for the Eastern Pacific Ocean, and the Western and Central Pacific Fishery Commission, for the Western PacificRegional Summary Pacific Region Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  6. CX-011810: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011810: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership Phase III - Subtask 1.7 CX(s) Applied: B3.1, B3.7 Date:...

  7. CX-008508: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008508: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3, B5.13 Date: 07...

  8. CX-008505: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008505: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3, B1.3 Date: 07...

  9. CX-011464: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011464: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1, B3.7 Date: 10312013...

  10. HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM

    E-Print Network [OSTI]

    HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM date November 23, 2004 Contract end date March 31, 2006 #12;Hydrogen Regional Infrastructure Program in Pennsylvania Hydrogen Regional Infrastructure Program in Pennsylvania Objectives Capture

  11. Determination of the 3He+alpha\\to 7Be asymp. normalization coefficients (nucl. vertex constants) and their application for extrapolation of the 3He(alpha,gamma)7Be astroph. S-factors to the solar energy region

    E-Print Network [OSTI]

    S. B. Igamov; Q. I. Tursunmahatov; R. Yarmukhamedov

    2010-11-22T23:59:59.000Z

    A new analysis of the modern precise measured astrophysical $S$ factors for the direct capture $^3He(\\alpha,\\gamma)^7{\\rm {Be}}$ reaction [B.S. Nara Singh {\\it et al.}, Phys.Rev.Lett. {\\bf 93}, 262503 (2004); D. Bemmerer {\\it et al.}, Phys.Rev.Lett. {\\bf 97}, 122502 (2006); F.Confortola {\\it et al.}, Phys.Rev.C {\\bf 75}, 065803 (2007), T.A.D.Brown {\\it et al.}, Phys.Rev. C {\\bf 76}, 055801 (2007) and A Di Leva, {\\it et al.},Phys.Rev.Lett. {\\bf 102}, 232502 (2009)] populating to the ground and first excited states of $^7{\\rm Be}$ is carried out based on the modified two - body potential approach. New estimates are obtained for the $^{\\glqq}$indirectly determined\\grqq\\, values of the asymptotic normalization constants (the nuclear vertex constants) for $^3{\\rm {He}}+\\alpha\\to{\\rm {^7Be}}$(g.s.) and $^3{\\rm {He}}+\\alpha\\to{\\rm {^7Be}}$(0.429 MeV) as well as the astrophysical $S$ factors $S_{34}(E)$ at E$\\le$ 90 keV, including $E$=0. The values of asymptotic normalization constants have been used for getting information about the $\\alpha$-particle spectroscopic factors for the mirror (${\\rm{^7Li}}{\\rm {^7Be}}$)-pair.

  12. What is the Broad Line Region?

    E-Print Network [OSTI]

    Ari Laor

    2003-12-16T23:59:59.000Z

    What is the Broad Line Region (BLR) made of? What determines its location? Why is it sometimes missing? What controls its properties? Some recent results and new approaches which may shed light on these issues are briefly described.

  13. Northwest Regional Technology Center

    E-Print Network [OSTI]

    Northwest Regional Technology Center for Homeland Security The Northwest Regional Technology Center and deployment of technologies that are effective homeland security solutions for the region, and accelerate technology transfer to the national user community. Foster a collaborative spirit across agencies

  14. Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia

    E-Print Network [OSTI]

    Browne, Antony

    . The disease has huge effects on the quality of life, employment and productivity of sufferers. Research over and motor side effects seen with the older antipsychotics, the main focus of clinical treatment still stimulation to areas of the cortex. However, it also plays a crucial role in memory, executive functioning

  15. The metallicity of circumnuclear star forming regions

    E-Print Network [OSTI]

    A. I. Diaz; E. Terlevich; M. Castellanos; G. F. Hagele

    2006-10-26T23:59:59.000Z

    We present a spectrophotometric study of circumnuclear star forming regions (CNSFR) in the early type spiral galaxies: NGC 2903, NGC 3351 and NGC 3504, all of them of over solar metallicity according to standard empirical calibrations. A detailed determination of their abundances is made after careful subtraction of the very prominent underlying stellar absorption. It is found that most regions show the highest abundances in HII region-like objects. The relative N/O and S/O abundances are discussed. In is also shown that CNSFR, as a class, segregate from the disk HII region family, clustering around smaller ``softness parameter" -- \\eta' -- values, and therefore higher ionizing temperatures.

  16. The metallicity of circumnuclear star forming regions

    E-Print Network [OSTI]

    Daz, A I; Castellanos, M; Hgele, G F

    2006-01-01T23:59:59.000Z

    We present a spectrophotometric study of circumnuclear star forming regions (CNSFR) in the early type spiral galaxies: NGC 2903, NGC 3351 and NGC 3504, all of them of over solar metallicity according to standard empirical calibrations. A detailed determination of their abundances is made after careful subtraction of the very prominent underlying stellar absorption. It is found that most regions show the highest abundances in HII region-like objects. The relative N/O and S/O abundances are discussed. In is also shown that CNSFR, as a class, segregate from the disk HII region family, clustering around smaller ``softness parameter" -- \\eta' -- values, and therefore higher ionizing temperatures.

  17. SITN Regional Outreach Map

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

    Region States in Region Awardee(s) Location of Awardee(s) Contact(s) Northeast (Photovoltaics) CT * ME * MA * NH NY * RI * VT Hudson Valley Community College Troy, NY Richard...

  18. Ultracompact HII Regions

    E-Print Network [OSTI]

    Stan Kurtz; Jose Franco

    2001-11-20T23:59:59.000Z

    We review some recent observational results on the properties of ultracompact HII regions, in particular the presence of extended continuum emission surrounding ultracompact sources and the discovery of a new class of so-called ``Hypercompact'' HII regions. In addition, we discuss recent attempts to probe the density structure within UC HII regions using the technique of spectral index analysis.

  19. Record of Categorical Exclusion (CS) Determination, Office of...

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

    StateRegionalLocal Assistance for Interconnection Transmission Planning and Analysis More Documents & Publications Record of Categorical Exclusion (CS) Determination, Office of...

  20. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Southwest Region April 17, 2014 CX-012089: Categorical Exclusion Determination Wood Pole Testing for 20 Transmission Lines in Southern Arizona and Southern California CX(s)...

  1. Categorical Exclusion Determinations: Western Area PowerAdministratio...

    Energy Savers [EERE]

    Mountain Region May 1, 2014 CX-012073: Categorical Exclusion Determination Big George-Heart Mountain 69-Kilovolt Transmission Line Glendale Tap Replacement (Amended) CX(s)...

  2. CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional...

    Open Energy Info (EERE)

    CARICOM-A Regional Implementation Plan for CARICOM's Regional Climate Change Resilience Framework Jump to: navigation, search Name CDKN-CARICOM-A Regional Implementation Plan for...

  3. CEMI Western Regional Summit

    Broader source: Energy.gov [DOE]

    Please Join Assistant Secretary of Energy Dr. David Danielson for the Clean Energy Manufacturing Initiative's Western Regional Summit. Register now for this free event.

  4. Regional Analysis Briefs

    Reports and Publications (EIA)

    2028-01-01T23:59:59.000Z

    Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

  5. Regional Districts (Texas)

    Broader source: Energy.gov [DOE]

    Adjacent Water Control and Improvement Districts and Municipal Utility Districts can opt to form a Regional District to oversee water issues. Such districts may be created:(1) to purchase, own,...

  6. Regional Carbon Sequestration Partnerships

    Broader source: Energy.gov [DOE]

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  7. The multicast capacity region of large wireless networks

    E-Print Network [OSTI]

    Shah, Devavrat

    We study the problem of determining the multicast capacity region of a wireless network of n nodes randomly located in an extended area and communicating with each other over Gaussian fading channels. We obtain an explicit ...

  8. Regional Report Issue Paper

    E-Print Network [OSTI]

    Regional Report Introduction The economy of the United States is more than three and one-half years accounting for both increasing shares of the economy and of recessionary employment losses. Manufacturing, driven by globalization and advancing information technology. Recoveries now produce jobs new

  9. LEADERSHIP HANDBOOK FOR REGIONAL COMMUNITIES

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    LEADERSHIP HANDBOOK FOR REGIONAL COMMUNITIES JOHNS HOPKINS ALUMNI ASSOCIATION & THE OFFICE OF ALUMNI RELATIONS #12;Leadership Handbook for Regional Chapters 2 CONTENTS Contents .......................................................................................................................9 Chapter Leadership

  10. Regional Competitions - EERE Commercialization Office

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

    Runner-up Teams The Six Regional Competitions The Massachusetts Institute of Technology logo. Northeast Region Lead: Massachusetts Institute of Technology (Cambridge, MA) This...

  11. Northwest Regional Technology Center, November 2012 Page 1 of 2 Around The Region In Homeland Security

    E-Print Network [OSTI]

    , operated by the Pacific Northwest National Laboratory (PNNL), to support regional preparedness, resiliency Responders to effectively counter a potential threat to our Nation. PNNL, in collaboration with DHS S. To better determine the requirements and needs of First Responders in a daily operational context, PNNL held

  12. Regional Transportation Coordination Study

    E-Print Network [OSTI]

    Golden Crescent Regional Planning Commission

    Committee for this study. ? Develop a coordination public transportation plan ? Identify resources required to develop the plan ? Provide policy guidance to lead the planning and coordination effort Golden Crescent Regional Transit 1... of Texas. This resource will be relied upon for further development of the Intermodal Transportation Terminal. ? FTA Section 5309 (Bus) Discretionary Support ? To assist in meeting the GCRPC?s capital replacement needs. This resource...

  13. Regional Energy Baseline

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J.C.; Haberl, J.

    2011-01-01T23:59:59.000Z

    ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

  14. Regional Energy Baseline

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J.C.; Haberl, J.

    ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

  15. Regional companies eye growth

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently Approved JustificationBio-Inspired PowerRegional companies eye

  16. Colorado Regional Faults

    SciTech Connect (OSTI)

    Hussein, Khalid

    2012-02-01T23:59:59.000Z

    Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS 984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  17. Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care

    E-Print Network [OSTI]

    Shihadeh, Alan

    Executive Master in Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care Learning Outcomes Health Systems, Policy and Reform - Communicating with Policy Makers - Evidence - Human Resources Management - Data and Decision Making Executive Master in Health Care Leadership (EMHCL

  18. Southern Region Watershed Management Project

    E-Print Network [OSTI]

    Coordinators and the organization, management and activities of the Southern Region Water Quality Planning1 Southern Region Watershed Management Project September 15, 2000 to September 14, 2005 Terminal responding to water quality and conservation issues with educational assistance, technology development

  19. The impact of an alternative certification program on teacher retention in selected Texas public school districts as reported by personnel in Education Service Center, Region 20, Texas

    E-Print Network [OSTI]

    Goldhorn, Jeffery Lee

    2005-11-01T23:59:59.000Z

    The purpose of this study was to determine the impact of an alternative certification program on the retention of teachers in Region 20, Texas, as reported by Education Service Center, Region 20, Texas. Demographic variables were used to determine...

  20. Regional Summary Pacific Management Context

    E-Print Network [OSTI]

    . Bocaccio, Pacific ocean perch, cowcod, and darkblotched and widow rockfish are currently in rebuildingRegional Summary Pacific Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  1. 6, 1332313366, 2006 Regional pollution

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 6, 13323­13366, 2006 Regional pollution potentials of major population centers M. G. Lawrence a Creative Commons License. Atmospheric Chemistry and Physics Discussions Regional pollution potentials. Lawrence (lawrence@mpch-mainz.mpg.de) 13323 #12;ACPD 6, 13323­13366, 2006 Regional pollution potentials

  2. Northern New Mexico regional airport market feasibility

    SciTech Connect (OSTI)

    Drake, R.H.; Williams, D.S.

    1998-06-01T23:59:59.000Z

    This report is about the market for airline travel in northern New Mexico. Interest in developing a northern New Mexico regional airport has periodically surfaced for a number of years. The New Mexico State Legislature passed a memorial during the 1998 Second Session calling for the conduct of a study to determine the feasibility of building a new regional airport in NNM. This report is a study of the passenger market feasibility of such an airport. In addition to commercial passenger market feasibility, there are other feasibility issues dealing with siting, environmental impact, noise, economic impact, intermodal transportation integration, region-wide transportation services, airport engineering requirements, and others. These other feasibility issues are not analyzed in any depth in this report although none were discovered to be show-stoppers as a by-product of the authors doing research on the passenger market itself. Preceding the need for a detailed study of these other issues is the determination of the basic market need for an airport with regular commercial airline service in the first place. This report is restricted to an in-depth look at the market for commercial passenger air service in NNM. 20 figs., 8 tabs.

  3. Mid-Atlantic Regional Wind Energy Institute

    SciTech Connect (OSTI)

    Courtney Lane

    2011-12-20T23:59:59.000Z

    As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

  4. Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic

    E-Print Network [OSTI]

    Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic Growth in India* Jeffrey D. Sachs Director The Earth Institute at Columbia_ramiah@yahoo.co.uk Asian Economic Papers 1:3 © 2002 The Earth Institute at Columbia University and the Massachusetts

  5. Quasar H II Regions During Cosmic Reionization

    E-Print Network [OSTI]

    Marcelo A. Alvarez; Tom Abel

    2007-09-10T23:59:59.000Z

    Cosmic reionization progresses as HII regions form around sources of ionizing radiation. Their average size grows continuously until they percolate and complete reionization. We demonstrate how this typical growth can be calculated around the largest, biased sources of UV emission, such as quasars, by further developing an analytical model based on the excursion set formalism. This approach allows us to calculate the sizes and growth of the HII regions created by the progenitors of any dark matter halo of given mass and redshift with a minimum of free parameters. Statistical variations in the size of these pre-existing HII regions are an additional source of uncertainty in the determination of very high redshift quasar properties from their observed HII region sizes. We use this model to demonstrate that the transmission gaps seen in very high redshift quasars can be understood from the radiation of only their progenitors and associated clustered small galaxies. The fit sets a lower limit on the redshift of overlap at z = 5.8 +/- 0.1. This interpretation makes the transmission gaps independent of the age of the quasars observed. If this interpretation were correct it would raise the prospects of using radio interferometers currently under construction to detect the epoch of reionization.

  6. EMPOWERING DIGITAL SELF DETERMINATION

    E-Print Network [OSTI]

    Das, Rhiju

    : Communication and Digital Media 2. Data Context and Digital Personas 3. Personal Data: Use, ReuseEMPOWERING DIGITAL SELF DETERMINATION Symposium Summary Stanford University, Summer 2012 #12;#12;EMPOWERING DIGITAL SELF DETERMINATION Symposium, Stanford University, CA Summer, 2012 210 Panama Street

  7. Bringing Up Incentives: A Look at the Determinants of Poverty

    E-Print Network [OSTI]

    New Hampshire, University of

    Bringing Up Incentives: A Look at the Determinants of Poverty Alice Sheehan #12;Outline presentation What's going on out there? Growth, Human Development indicators, Poverty rates, etc. A look at determinants of poverty on three different levels: Immediate, Community, and Regional/National An example

  8. Geothermal systems of the Mono Basin-Long Valley region, eastern California and western Nevada

    SciTech Connect (OSTI)

    Higgins, C.T.; Flynn, T.; Chapman, R.H.; Trexler, D.T.; Chase, G.R.; Bacon, C.F.; Ghusn, G. Jr.

    1985-01-01T23:59:59.000Z

    The region that includes Mono Basin, Long Valley, the Bridgeport-Bodie Hills area, and Aurora, in eastern California and western Nevada was studied to determine the possible causes and interactions of the geothermal anomalies in the Mono Basin-Long Valley region as a whole. A special goal of the study was to locate possible shallow bodies of magma and to determine their influence on the hydrothermal systems in the region. (ACR)

  9. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G. (Albuquerque, NM); Gurary, Alexander I. (Bridgewater, NJ); Boguslavskiy, Vadim (Princeton, NJ)

    2002-01-01T23:59:59.000Z

    A method for determining the temperature of a surface upon which a coating is grown using optical pyrometry by correcting Kirchhoff's law for errors in the emissivity or reflectance measurements associated with the growth of the coating and subsequent changes in the surface thermal emission and heat transfer characteristics. By a calibration process that can be carried out in situ in the chamber where the coating process occurs, an error calibration parameter can be determined that allows more precise determination of the temperature of the surface using optical pyrometry systems. The calibration process needs only to be carried out when the physical characteristics of the coating chamber change.

  10. Robust Growth Determinants

    E-Print Network [OSTI]

    Doppelhofer, Gernot; Weeks, Melvyn

    2011-01-31T23:59:59.000Z

    This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious...

  11. Coordinated Regional Public Transportation Plan: Heart of Texas Region

    E-Print Network [OSTI]

    Heart of Texas Council of Governments

    2006-12-01T23:59:59.000Z

    Coordinated Regional Public Transportation Plan Heart of Texas Region Bosque, Falls, Freestone, Hill, Limestone & McLennan Counties December 1, 2006 TABLE OF CONTENTS Acknowledgements... of Texas Council of Governments (HOTCOG) and the McLennan County Youth Collaboration (MCYC) ---21 Central Texas Senior Ministries (CTSM), Hill County Transit (HCT) and Scott and White (S&W) Medical Facilities...

  12. Regional Energy Efficiency Programs | Department of Energy

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

    Programs Regional Energy Efficiency Programs This presentation covers regional industrial energy efficiency programs in the Midwest, Southeast, and Southwest. Regional Energy...

  13. PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS

    E-Print Network [OSTI]

    Jiang, Huiqiang

    AND COMMUNITIES PITTSBURGH, PA. | AUGUST 2013 #12;PRETA AIR: HAZARDOUS AIR POLLUTANTS 32 PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS REPORT PRETA AIR: HAZARDOUS AIR POLLUTANTS (HAPs)/AIR TOXICS PREPARED BY AUTHORSPITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS (PRETA) REPORT PRETA AIR: HAZARDOUS AIR

  14. 1, 497531, 2004 Regional hydrology

    E-Print Network [OSTI]

    Boyer, Edmond

    BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al hydrology controls stream microbial biofilms: evidence from a glacial catchment T. J. Battin1, , A. Wille2@pflaphy.pph.univie.ac.at) 497 #12;BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al

  15. REGIONAL WATER SUPPLY PLANNING AND

    E-Print Network [OSTI]

    Mays, Larry W.

    CHAPTER 3 REGIONAL WATER SUPPLY PLANNING AND CAPACITY EXPANSION MODELS Messele Z. Ejeta California Department of Water Resources Sacramento, California Larry W. Mays Department of Civil and Environmental Engineering Arizona State University Tempe, Arizona 3.1 INTRODUCTION Water supply planning on a regional scale

  16. Presentation of Regional SDSN Center

    E-Print Network [OSTI]

    Garulli, Andrea

    ;Conference topics: Pollution in the Mediterranean sea Climate change Improving the management Energy#12;Presentation of UN SDSN and MED SDSN Regional SDSN Center for the Mediterranean Region #12;UN for the Mediterranean Basin Why a Mediterranean Network? Shared history Shared environment Shared future MED

  17. OBSERVING CORONAL NANOFLARES IN ACTIVE REGION MOSS

    SciTech Connect (OSTI)

    Testa, Paola; DeLuca, Ed; Golub, Leon; Korreck, Kelly; Weber, Mark [Smithsonian Astrophysical Observatory, 60 Garden street, MS 58, Cambridge, MA 02138 (United States); De Pontieu, Bart; Martinez-Sykora, Juan; Title, Alan [Lockheed Martin Solar and Astrophysics Lab, Org. A021S, Bldg. 252, 3251 Hanover Street, Palo Alto, CA 94304 (United States); Hansteen, Viggo [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway); Cirtain, Jonathan; Winebarger, Amy; Kobayashi, Ken [NASA Marshall Space Flight Center, ZP 13, Huntsville, AL 35812 (United States); Kuzin, Sergey [P. N. Lebedev Physical institute of the Russian Academy of Sciences, Leninskii prospekt, 53, 119991 Moscow (Russian Federation); Walsh, Robert [University of Central Lancashire, Lancashire, Preston PR1 2HE (United Kingdom); DeForest, Craig, E-mail: ptesta@cfa.harvard.edu [Southwest Research Institute, 1050 Walnut Street, Suite 300, Boulder, CO 80302 (United States)

    2013-06-10T23:59:59.000Z

    The High-resolution Coronal Imager (Hi-C) has provided Fe XII 193A images of the upper transition region moss at an unprecedented spatial ({approx}0.''3-0.''4) and temporal (5.5 s) resolution. The Hi-C observations show in some moss regions variability on timescales down to {approx}15 s, significantly shorter than the minute-scale variability typically found in previous observations of moss, therefore challenging the conclusion of moss being heated in a mostly steady manner. These rapid variability moss regions are located at the footpoints of bright hot coronal loops observed by the Solar Dynamics Observatory/Atmospheric Imaging Assembly in the 94 A channel, and by the Hinode/X-Ray Telescope. The configuration of these loops is highly dynamic, and suggestive of slipping reconnection. We interpret these events as signatures of heating events associated with reconnection occurring in the overlying hot coronal loops, i.e., coronal nanoflares. We estimate the order of magnitude of the energy in these events to be of at least a few 10{sup 23} erg, also supporting the nanoflare scenario. These Hi-C observations suggest that future observations at comparable high spatial and temporal resolution, with more extensive temperature coverage, are required to determine the exact characteristics of the heating mechanism(s).

  18. Determining Reactor Neutrino Flux

    E-Print Network [OSTI]

    Jun Cao

    2012-03-08T23:59:59.000Z

    Flux is an important source of uncertainties for a reactor neutrino experiment. It is determined from thermal power measurements, reactor core simulation, and knowledge of neutrino spectra of fuel isotopes. Past reactor neutrino experiments have determined the flux to (2-3)% precision. Precision measurements of mixing angle $\\theta_{13}$ by reactor neutrino experiments in the coming years will use near-far detector configurations. Most uncertainties from reactor will be canceled out. Understanding of the correlation of uncertainties is required for $\\theta_{13}$ experiments. Precise determination of reactor neutrino flux will also improve the sensitivity of the non-proliferation monitoring and future reactor experiments. We will discuss the flux calculation and recent progresses.

  19. The Project The Southern Region Water Quality Regional Coordination Project is designed to promote regional collaboration,

    E-Print Network [OSTI]

    The Project The Southern Region Water Quality Regional Coordination Project is designed to promote to protect and restore water resources. Effective approaches for watershed management, pollution prevention to the research, extension and education resources available through the Land Grant University System

  20. Clean Energy Manufacturing Initiative Midwest Regional Summit...

    Office of Environmental Management (EM)

    Clean Energy Manufacturing Initiative Midwest Regional Summit: Lightweighting Breakout Session Summary Clean Energy Manufacturing Initiative Midwest Regional Summit: Lightweighting...

  1. Regional Public Coordination Transportation Plan Texoma Region #22

    E-Print Network [OSTI]

    Texoma Council of Governments

    2006-12-01T23:59:59.000Z

    in conjunction with TxDOT to increase public awareness of the project. As an integral part of this project, each of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public... Sherman TAPS TAPS TAPS operates in seven (7) counties, with three (3) of the counties in the Texoma Region. TAPS services include demand response, commuter bus services and special services. Square Miles Population ?00 Rider Trips ?05 Clay 1...

  2. Interpreting Helioseismic Structure Inversion Results of Solar Active Regions

    E-Print Network [OSTI]

    Chia-Hsien Lin; Sarbani Basu; Linghuai Li

    2008-09-08T23:59:59.000Z

    Helioseismic techniques such as ring-diagram analysis have often been used to determine the subsurface structural differences between solar active and quiet regions. Results obtained by inverting the frequency differences between the regions are usually interpreted as the sound-speed differences between them. These in turn are used as a measure of temperature and magnetic-field strength differences between the two regions. In this paper we first show that the "sound-speed" difference obtained from inversions is actually a combination of sound-speed difference and a magnetic component. Hence, the inversion result is not directly related to the thermal structure. Next, using solar models that include magnetic fields, we develop a formulation to use the inversion results to infer the differences in the magnetic and thermal structures between active and quiet regions. We then apply our technique to existing structure inversion results for different pairs of active and quiet regions. We find that the effect of magnetic fields is strongest in a shallow region above 0.985R_sun and that the strengths of magnetic-field effects at the surface and in the deeper (r < 0.98R_sun) layers are inversely related, i.e., the stronger the surface magnetic field the smaller the magnetic effects in the deeper layers, and vice versa. We also find that the magnetic effects in the deeper layers are the strongest in the quiet regions, consistent with the fact that these are basically regions with weakest magnetic fields at the surface. Because the quiet regions were selected to precede or follow their companion active regions, the results could have implications about the evolution of magnetic fields under active regions.

  3. Wide Area Security Region Final Report

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Lu, Shuai; Guo, Xinxin; Gronquist, James; Du, Pengwei; Nguyen, Tony B.; Burns, J. W.

    2010-03-31T23:59:59.000Z

    This report develops innovative and efficient methodologies and practical procedures to determine the wide-area security region of a power system, which take into consideration all types of system constraints including thermal, voltage, voltage stability, transient and potentially oscillatory stability limits in the system. The approach expands the idea of transmission system nomograms to a multidimensional case, involving multiple system limits and parameters such as transmission path constraints, zonal generation or load, etc., considered concurrently. The security region boundary is represented using its piecewise approximation with the help of linear inequalities (so called hyperplanes) in a multi-dimensional space, consisting of system parameters that are critical for security analyses. The goal of this approximation is to find a minimum set of hyperplanes that describe the boundary with a given accuracy. Methodologies are also developed to use the security hyperplanes, pre-calculated offline, to determine system security margins in real-time system operations, to identify weak elements in the system, and to calculate key contributing factors and sensitivities to determine the best system controls in real time and to assist in developing remedial actions and transmission system enhancements offline . A prototype program that automates the simulation procedures used to build the set of security hyperplanes has also been developed. The program makes it convenient to update the set of security hyperplanes necessitated by changes in system configurations. A prototype operational tool that uses the security hyperplanes to assess security margins and to calculate optimal control directions in real time has been built to demonstrate the project success. Numerical simulations have been conducted using the full-size Western Electricity Coordinating Council (WECC) system model, and they clearly demonstrated the feasibility and the effectiveness of the developed technology. Recommendations for the future work have also been formulated.

  4. Towards a biogeographic regionalization of the European biota

    E-Print Network [OSTI]

    Rodrguez, Miguel ngel

    and mammals to k-means clustering followed by v-fold cross-validation to determine the pattern and number. Keywords Amphibians, biogeographic regions, birds, butterflies, Europe, habitat templet, k-means clustering). This approach has several advantages, including ease of comparison of the patterns across taxonomic groups

  5. Relationship of regional water quality to aquifer thermal energy storage

    SciTech Connect (OSTI)

    Allen, R.D.

    1983-11-01T23:59:59.000Z

    Ground-water quality and associated geologic characteristics may affect the feasibility of aquifer thermal energy storage (ATES) system development in any hydrologic region. This study sought to determine the relationship between ground-water quality parameters and the regional potential for ATES system development. Information was collected from available literature to identify chemical and physical mechanisms that could adversely affect an ATES system. Appropriate beneficiation techniques to counter these potential geochemical and lithologic problems were also identified through the literature search. Regional hydrology summaries and other sources were used in reviewing aquifers of 19 drainage regions in the US to determine generic geochemical characteristics for analysis. Numerical modeling techniques were used to perform geochemical analyses of water quality from 67 selected aquifers. Candidate water resources regions were then identified for exploration and development of ATES. This study identified six principal mechanisms by which ATES reservoir permeability may be impaired: (1) particulate plugging, (2) chemical precipitation, (3) liquid-solid reactions, (4) formation disaggregation, (5) oxidation reactions, and (6) biological activity. Specific proven countermeasures to reduce or eliminate these effects were found. Of the hydrologic regions reviewed, 10 were identified as having the characteristics necessary for ATES development: (1) Mid-Atlantic, (2) South-Atlantic Gulf, (3) Ohio, (4) Upper Mississippi, (5) Lower Mississippi, (6) Souris-Red-Rainy, (7) Missouri Basin, (8) Arkansas-White-Red, (9) Texas-Gulf, and (10) California.

  6. TESTING TRIGGERED STAR FORMATION IN SIX H II REGIONS

    SciTech Connect (OSTI)

    Dirienzo, William J.; Indebetouw, Remy [Department of Astronomy, University of Virginia, P.O. Box 3818, Charlottesville, VA 22903 (United States); Brogan, Crystal; Friesen, Rachel K. [National Radio Astronomy Observatory, 520 Edgemont Road, Charlottesville, VA 22903 (United States); Cyganowski, Claudia J. [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138 (United States); Churchwell, Ed, E-mail: dirienzo@virginia.edu [Department of Astronomy, University of Wisconsin-Madison, 475 N Charter Street, Madison, WI 53706 (United States)

    2012-12-01T23:59:59.000Z

    We investigated six H II regions with infrared, bright rimmed bubble or cometary morphology, in search of quantitative evidence for triggered star formation, both collect and collapse and radiatively driven implosion (RDI). We identified and classified 458 young stellar objects (YSOs) in and around the H II regions. YSOs were determined by fitting a collection of radiative transfer model spectral energy distributions to infrared photometry for a large sample of point sources. We determined areas where there exist enhanced populations of relatively unevolved YSOs on the bright rims of these regions, suggesting that star formation has been triggered there. We further investigated the physical properties of the regions by using radio continuum emission as a proxy for ionizing flux powering the H II regions, and {sup 13}CO (1-0) observations to measure masses and gravitational stability of molecular clumps. We used an analytical model of collect and collapse triggered star formation, as well as a simulation of RDI, and thus we compare the observed properties of the molecular gas with those predicted in the triggering scenarios. Notably, those regions in our sample that show evidence of cometary, or 'blister', morphology are more likely to show evidence of triggering.

  7. Pacific Islands Region News Release

    E-Print Network [OSTI]

    Pacific Islands Region News Release Contact: Wende Goo FOR IMMEDIATE RELEASE 808-721-4098 May 27 of these unique twins by contributing more than 100 hours of work to construct a holding pen for the young seal

  8. Anomalous Emission from HII regions

    E-Print Network [OSTI]

    C. Dickinson

    2008-08-04T23:59:59.000Z

    Spinning dust appears to be the best explanation for the anomalous emission that has been observed at $\\sim 10-60$ GHz. One of the best examples of spinning dust comes from a HII region in the Perseus molecular cloud. Observations of other HII regions also show tentative evidence for excess emission at frequencies $\\sim 30$ GHz, although at lower emissivity levels. A new detection of excess emission at 31 GHz in the HII region RCW175 has been made. The most plausible explanation again comes from spinning dust. HII regions are a good place to look for spinning dust as long as accurate radio data spanning the $\\sim 5-100$ GHz range is available.

  9. RAFT Regional Algal Feedstock Testbed

    Broader source: Energy.gov [DOE]

    Breakout Session 3BIntegration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

  10. Regional 166 Direct Loan (Ohio)

    Broader source: Energy.gov [DOE]

    The Ohio Development Services Agency's (ODSA) Regional 166 Direct Loan provides low-interest loans to businesses creating new jobs or preserving existing employment opportunities in the State of Ohio.

  11. Aerosol remote sensing in polar regions

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

    Tomasi, C.; Wagener, R.; Kokhanovsky, A. A.; Lupi, A.; Ritter, C.; Smirnov, A.; O Neill, N. T.; Stone, R. S.; Holben, B. N.; Nyeki, S.; Wehrli, C.; Stohl, A.; Mazzola, M.; Lanconelli, C.; Vitale, V.; Stebel, K.; Aaltonen, V.; de Leeuw, G.; Rodriguez, E.; Herber, A. B.; Radionov, V. F.; Zielinski, T.; Petelski, T.; Sakerin, S. M.; Kabanov, D. M.; Xue, Y.; Mei, L.; Istomina, L.; Wagener, R.; McArthur, B.; Sobolewski, P. S.; Kivi, R.; Courcoux, Y.; Larouche, P.; Broccardo, S.; Piketh, S. J.

    2015-01-01T23:59:59.000Z

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of ngstrm's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winterspring and summerautumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i) a considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winterspring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-lesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surfaceatmosphere system over polar regions.

  12. Aerosol remote sensing in polar regions

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

    Tomasi, C.; Wagener, R.; Kokhanovsky, A. A.; Lupi, A.; Ritter, C.; Smirnov, A.; O Neill, N. T.; Stone, R. S.; Holben, B. N.; Nyeki, S.; et al

    2015-01-01T23:59:59.000Z

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of ngstrm's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winterspring and summerautumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i)morea considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winterspring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-lesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surfaceatmosphere system over polar regions.less

  13. Regional Transmission Projects: Finding Solutions

    SciTech Connect (OSTI)

    The Keystone Center

    2005-06-15T23:59:59.000Z

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

  14. Regional

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection RadiationRecord-SettingHead5 IdleRegardingIndustrial Technologies|3

  15. Southeast Texas Region Regional Public Transportation Coordination Plan

    E-Print Network [OSTI]

    Southeast Texas Regional Planning Commission

    Providers Public transportation in the southeast Texas region includes primarily demand- response service, with two localities managing fixed-route systems. Table 2 identifies the transportation providers within the region. The major transportation... citywide bus services with eleven local routes. PAT operates from 6:15am to 6:15pm five days a week. Annual ridership for BMT totaled 671,420 fixed route and 22,155 demand response trips in 2005, while PAT ridership reached 116,632 fixed route and 20...

  16. Determining Pregnancy in Cattle.

    E-Print Network [OSTI]

    Sorensen, A. M. Jr.; Beverly, J. R.

    1968-01-01T23:59:59.000Z

    . This should not upset the pal- pator. An indication of rectum damage is a sand- paper or gritty feeling. In this case, the mucosa lining the rectum has been rubbed off in the palpation pro- cess. It is best to stop further palpation when this occurs. A... good land- mark, figure 2. After locating the cervix, the pal- pator can move forward to the uterus to determine pregnancy. The paunch, located directly forward and to the left, may feel like the end of a football and be rather soft and mushy...

  17. Determining the mechanical properties of equine laminar corium tissue

    E-Print Network [OSTI]

    Hallab, Nadim James

    1991-01-01T23:59:59.000Z

    section through the central hoof but from four distinct proximal to distal locations. The elastic modulus ranges from 0. 36 to 2. 3 x 103 psi and the ultimate strength ranges from 109 to 646 psi, A regional variation in these properties has also been... and the epidermal regions. Ten images of adjacent sides of a single sample were taken and the preliminary results are encouraging. The uniaxial modulus determined from the crosshead load-displacement data for this specimen was 1348 psi, whereas the dermal region...

  18. Fueling Gas to the Central Region of Galaxies

    E-Print Network [OSTI]

    Keiichi Wada

    2003-08-08T23:59:59.000Z

    Supplying gas to the galactic central regions is one of key ingredients for AGN activity. I will review various fueling mechanisms for a R ~ 1 kpc region, determined mainly by numerical simulations over the last decade. I will also comment on the bars-within-bars mechanism. Observations suggest that the stellar bar is not a sufficient condition for gas fueling. Moreover, considering the various factors for the onset of gas accretion, stellar bars would not even be a necessary condition. I introduce recent progress obtained through our two- and three-dimensional, high resolution hydrodynamical simulations of the ISM in the central 0.1--1 kpc region of galaxies. Possible structure of the obscuring molecular tori around AGNs is also shown. The nuclear starburst is an important factor in determining the structure of the molecular tori and the mass accretion rate to the nucleus. It is natural that the ISM in the central 100 pc region is a highly inhomogeneous and turbulent structure. As a result, gas accretion to the central parsec region should be time dependent and stochastic. The conventional picture of gas fueling and the AGN unified model may be modified in many respects.

  19. Regions for Select Spot Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently Approved JustificationBio-Inspired PowerRegional companiesRegions

  20. The Balanced Unicast and Multicast Capacity Regions of Large Wireless Networks

    E-Print Network [OSTI]

    Niesen, Urs

    We consider the question of determining the scaling of the n[superscript n] -dimensional balanced unicast and the n 2[superscript n]-dimensional balanced multicast capacity regions of a wireless network with n nodes placed ...

  1. EE Regional Technology Roadmap Includes comparison

    E-Print Network [OSTI]

    EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

  2. Significant Radionuclides Determination

    SciTech Connect (OSTI)

    Jo A. Ziegler

    2001-07-31T23:59:59.000Z

    The purpose of this calculation is to identify radionuclides that are significant to offsite doses from potential preclosure events for spent nuclear fuel (SNF) and high-level radioactive waste expected to be received at the potential Monitored Geologic Repository (MGR). In this calculation, high-level radioactive waste is included in references to DOE SNF. A previous document, ''DOE SNF DBE Offsite Dose Calculations'' (CRWMS M&O 1999b), calculated the source terms and offsite doses for Department of Energy (DOE) and Naval SNF for use in design basis event analyses. This calculation reproduces only DOE SNF work (i.e., no naval SNF work is included in this calculation) created in ''DOE SNF DBE Offsite Dose Calculations'' and expands the calculation to include DOE SNF expected to produce a high dose consequence (even though the quantity of the SNF is expected to be small) and SNF owned by commercial nuclear power producers. The calculation does not address any specific off-normal/DBE event scenarios for receiving, handling, or packaging of SNF. The results of this calculation are developed for comparative analysis to establish the important radionuclides and do not represent the final source terms to be used for license application. This calculation will be used as input to preclosure safety analyses and is performed in accordance with procedure AP-3.12Q, ''Calculations'', and is subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (DOE 2000) as determined by the activity evaluation contained in ''Technical Work Plan for: Preclosure Safety Analysis, TWP-MGR-SE-000010'' (CRWMS M&O 2000b) in accordance with procedure AP-2.21Q, ''Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities''.

  3. Panhandle Region Transportation Coordination Study

    E-Print Network [OSTI]

    Panhandle Regional Transportation Advisory Group

    drivers; shared office staff with PCS Schedule for out of county trips Amarillo MWF Notes on Service Provided Medicaid to Amarillo M-F; school trips M-F; Hereford Satellite Center; some trips to Hereford Senior Center and nursing homes Table 2............................................................................................................................ 2-5 Health and Human Services Organizations ................................................................................. 2-9 History of Regional Coordination of Public Transportation .................................................... 2...

  4. Regional Systems Development for Geothermal Energy Resources...

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Regional Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii)....

  5. Clean Cities Regional Support & Petroleum Displacement Awards...

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

    Regional Support & Petroleum Displacement Awards Clean Cities Regional Support & Petroleum Displacement Awards 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual...

  6. Texas State Planning Region 3 Report of Regional Transportation Coordination

    E-Print Network [OSTI]

    Nortex Regional Planning Commission

    2006-12-01T23:59:59.000Z

    of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public transportation. This Coordination Committee addressed this issue with enthusiasm, generating significant topics...DOT requirement that all vehicles be ADA compliant, Medicaid restrictions and Insurance as significant barriers to public transportation. Best practices included sharing of information regarding this project through publication in rural newspapers, inter...

  7. CX-007856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  8. Regional Slip Tendency Analysis of the Great Basin Region

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

    Faulds, James E.

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

  9. Country report Municipal solid waste composition determination supporting

    E-Print Network [OSTI]

    Columbia University

    Country report Municipal solid waste composition determination supporting the integrated solid a variation between the municipal solid waste (MSW) composition in the region of Crete (20032004) and MSW composition suggested in the National Solid Waste Planning (2000) [National Solid Waste Planning, 2000

  10. Resource Portfolio Model's Determination of Conservation's Cost-Effectiveness1

    E-Print Network [OSTI]

    ,008 average megawatts of conservation8. The electricity price forecast used for this initial estimResource Portfolio Model's Determination of Conservation's Cost- Effectiveness1 The regional Resource Portfolio Model (RPM) finds large amounts of conservation cost effective. The cost of some

  11. Southeast Regional Carbon Sequestration Partnership

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2006-08-30T23:59:59.000Z

    The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

  12. Developing a Regional Recovery Framework

    SciTech Connect (OSTI)

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01T23:59:59.000Z

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

  13. West Central Texas Regional Transportation Final Report

    E-Print Network [OSTI]

    West Central Texas Council of Governments

    2006-01-01T23:59:59.000Z

    WEST CENTRAL TEXAS REGIONAL REGIONAL TRANSPORTATION TRANSPORTATION FINAL REPORT NOVEMBER 2006 West Central Texas Regional Transit Coordination Plan Final Report and Executive Summary November 2006 A&R Consulting The Goodman... Workshops 177 Appendix C - Public Meetings 183 West Central Texas Regional Transit Coordination Plan Final Report and Executive Summary November 2006 A&R Consulting The Goodman Corporation November 2006 3 EXECUTIVE SUMMARY...

  14. The Broad Line Region of AGN: Kinematics and Physics

    E-Print Network [OSTI]

    L. C. Popovic

    2006-12-23T23:59:59.000Z

    In this paper a discussion of kinematics and physics of the Broad Line Region (BLR) is given. The possible physical conditions in the BLR and problems in determination of the physical parameters (electron temperature and density) are considered. Moreover, one analyses the geometry of the BLR and the probability that (at least) a fraction of the radiation in the Broad Emission Lines (BELs) originates from a relativistic accretion disk.

  15. Corn Varieties in Texas : Their Regional and Seasonal Adaptation.

    E-Print Network [OSTI]

    Mangelsdorf, Paul C. (Paul Christoph)

    1929-01-01T23:59:59.000Z

    presented in Progress Reports from Angleton, Denton, Beaumont, Troup, Beeville, Temple, Spur, Lubbock, Pecos, and Nacogdoches, and in Bulletin 276, "Corn Variety Experiments, Substation No. 3, Angleton." SCOPE OF THE BULLETIN Two of the most important... to both regional ' and seasonal variations. To determine the adaptation of varieties to these two influences a variety-date-of-planting test was instituted in 1918. This test has been conducted at eleven substations throughout the State, in most cases...

  16. Preliminary assessment of regional dispersivity of the Hanford basalts

    E-Print Network [OSTI]

    LaVenue, Arthur Marsh

    1985-01-01T23:59:59.000Z

    . ACKNONLEDGEMENTS I would like to thank the members of my graduate research committee, Dr. Patrick Domenico, Dr. Earl Hoskins, and Dr. James Russell for their corvaents and discussions during this study. I am thankful to Rockwell International-Hanford Operations... level nuclear waste repository, it is essential that the dispersivities be determined in order to aid in modelling studies that will be needed to characterize the site. GENERAL PHYSICAL NATURE OF HANFORD SITE Regional Setting The United States...

  17. Determining the neutrino mass hierarchy

    SciTech Connect (OSTI)

    Parke, Stephen J.; /Fermilab

    2006-07-01T23:59:59.000Z

    In this proceedings I review the physics that future experiments will use to determine the neutrino mass hierarchy.

  18. Spectral determination of gases by microwaves in the 1.25 centimeter region

    E-Print Network [OSTI]

    Parrack, Alvin Landis

    1951-01-01T23:59:59.000Z

    .................. 11 Figure 4. The Microwave Spectroscope.............. 15 Figure 5. Response of the 84,825 MC. Spectral Line of Methanol.............................19 Figure 6 . Some Absorption Lines of Methanol......... 22 Figure 7 . Response of the 25...,124.88 MC. Spectral Line of Methanol....................... 25 Figure 8 . Response of the 24,577 MC. Spectral Line of Dichloromethane......................26 Figure 9. Calibration Curves for Mixtures of Methanol and Dichloromethane....................27...

  19. DETERMINANTS OF HOUSEHOLD PARTICIPATION IN WATER SOURCE MANAGEMENT: ACHEFER, AMHARA REGION, ETHIOPIA

    E-Print Network [OSTI]

    Walter, M.Todd

    , ETHIOPIA A Thesis Presented to the Faculty of the Graduate School of Cornell University In Partial in Ethiopia are among the lowest in Sub-Saharan Africa. While governmental and non- governmental organizations out involving 16 water supply systems and 160 households within Achefer area, in Amhara, Ethiopia

  20. Building America Best Practices Series: Volume 7.2 Guide to Determining Climate Regions by County

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future of CSP:Brookhaven Teaching FellowsBuilderHVACR BUILDING

  1. Regional Slip Tendency Analysis of the Great Basin Region

    SciTech Connect (OSTI)

    Faulds, James E.

    2013-09-30T23:59:59.000Z

    Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

  2. Geothermal Regions | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpen EnergyInformation|Regions

  3. The Fractal Distribution of HII Regions in Disk Galaxies

    E-Print Network [OSTI]

    Nestor Sanchez; Emilio J. Alfaro

    2008-04-29T23:59:59.000Z

    It is known that the gas has a fractal structure in a wide range of spatial scales with a fractal dimension that seems to be a constant around Df = 2.7. It is expected that stars forming from this fractal medium exhibit similar fractal patterns. Here we address this issue by quantifying the degree to which star-forming events are clumped. We develop, test, and apply a precise and accurate technique to calculate the correlation dimension Dc of the distribution of HII regions in a sample of disk galaxies. We find that the determination of Dc is limited by the number of HII regions, since if there are fractal dimension among galaxies, contrary to a universal picture sometimes claimed in literature. The fractal dimension exhibits a weak but significant correlation with the absolute magnitude and, to a lesser extent, with the galactic radius. The faintest galaxies tend to distribute their HII regions in more clustered (less uniform) patterns. The fractal dimension for the brightest HII regions within the same galaxy seems to be smaller than for the faintest ones suggesting some kind of evolutionary efffect, but the obtained correlation remains unchanged if only the brightest regions are taken into account.

  4. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L. [Sandia National Labs., Albuquerque, NM (United States). Nonproliferation and Arms Control Analysis Dept.

    1996-11-01T23:59:59.000Z

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations. Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  5. CX-012341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Humboldt Mountain Communication Facility - Asbestos and Lead-based Paint Testing CX(s) Applied: B3.1 Date: 06/19/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  6. CX-004877: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Borrow at Basic Substation in Clark County, NevadaCX(s) Applied: B4.11Date: 11/30/2010Location(s): Clark County, NevadaOffice(s): Western Area Power Administration-Desert Southwest Region

  7. CX-012338: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Amargosa Substation (Conduit and Storage Pad Installation) CX(s) Applied: B1.3 Date: 06/03/2014 Location(s): Nevada Offices(s): Western Area Power Administration-Desert Southwest Region

  8. CX-011855: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson 230 Kilovolt Switchyard (Erosion Control) CX(s) Applied: B1.3 Date: 02/06/2014 Location(s): Nevada Offices(s): Western Area Power Administration-Desert Southwest Region

  9. CX-011614: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Curecanti-Blue Mesa 115-kilovolt Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 12/04/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  10. CX-011616: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gore Pass-Kremmling 138-kilovolt Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 11/21/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  11. CX-011618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kremmling-Windy Gap 138-kilovolt Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 11/21/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  12. CX-011208: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Malta-Mount Elbert 230-Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 09/09/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  13. CX-011619: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Muddy Pass-Walden 69-kilovolt Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 11/21/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-011209: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer-North Park 230-Kilovolt Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 09/10/2013 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  15. CX-012749: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Buffalo Pass Communications Building Replacement, Routt County, CO CX(s) Applied: B1.19Date: 41843 Location(s): ColoradoOffices(s): Western Area Power Administration-Rocky Mountain Region

  16. CX-010411: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Parker Substation 161 Kilovolt 2013 Breaker Replacement CX(s) Applied: B4.6 Date: 05/17/2013 Location(s): California Offices(s): Western Area Power Administration-Desert Southwest Region

  17. CX-007166: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pinnacle Peak-Prescott Danger Tree RemovalCX(s) Applied: B1.3Date: 03/18/2010Location(s): Maricopa County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  18. CX-011613: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bald Mountain Fiber Optic Splice Temporary Pad CX(s) Applied: B1.15 Date: 12/11/2013 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-010891: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer-Stegall 230-Kilovolt Fiber Optic Ground Wire Addition CX(s) Applied: B4.7 Date: 08/20/2013 Location(s): Nebraska, Nebraska Offices(s): Western Area Power Administration-Rocky Mountain Region

  20. CX-011723: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Happy Jack 230 Kilovolt Substation Fiber Optic Installation in Laramie County, Wyoming CX(s) Applied: B4.7 Date: 12/31/2013 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  1. CX-006280: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gore Pass Substation Pole ReplacementCX(s) Applied: B1.3Date: 07/01/2011Location(s): Ground County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  2. CX-011612: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Akron Hill Communication Site Cable Project CX(s) Applied: B1.3 Date: 11/19/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  3. CX-008382: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bridgeport-Sidney 115 Kilovolt Line Rejected Pole Replacement CX(s) Applied: B1.3 Date: 03/16/2012 Location(s): Nebraska Offices(s): Western Area Power Administration-Rocky Mountain Region

  4. CX-007171: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Signal Tap SubstationCX(s) Applied: B4.6Date: 09/09/2010Location(s): Pinal County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  5. CX-012744: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prescott Peacock Transmission Line- Insulator Repair at 3 Structures CX(s) Applied: B1.3Date: 41851 Location(s): ArizonaOffices(s): Western Area Power Administration-Desert Southwest Region

  6. CX-012738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila Substation Geotechnical Study CX(s) Applied: B3.1Date: 41857 Location(s): ArizonaOffices(s): Western Area Power Administration-Desert Southwest Region

  7. CX-012743: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mead Substation Service Building Repairs CX(s) Applied: B1.3Date: 41879 Location(s): NevadaOffices(s): Western Area Power Administration-Desert Southwest Region

  8. CX-009577: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rochester Regional, Optics, Photonics & Imaging Accelerator CX(s) Applied: A9, B3.6 Date: 12/12/2012 Location(s): New York, New York Offices(s): Golden Field Office

  9. CX-006914: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels ProjectCX(s) Applied: B5.1Date: 09/28/2011Location(s): Kansas City, MissouriOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  10. CX-006912: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels ProjectCX(s) Applied: A7, B5.1Date: 09/28/2011Location(s): Kansas City, KansasOffice(s): Energy Efficiency and Renewable Energy

  11. CX-007440: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Routine Maintenance Activities at the Grand Junction Regional Airport, Colorado, Calibration Model Facility CX(s) Applied: B1.3, B1.24 Date: 12/13/2011 Location(s): Colorado Offices(s): Legacy Management

  12. CX-007141: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electrical District 4 - Electrical District 5 - Structure ReplacementCX(s) Applied: B4.6Date: 09/01/2011Location(s): Pinal County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  13. CX-012761: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gering-Bridgeport-Sydney Fiber Optic Addition Scottsbluff, Morril, and Cheyenne Counties, Wyoming CX(s) Applied: B4.7Date: 41857 Location(s): NebraskaOffices(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-007819: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Yellowtail Dam Tie Lines CX(s) Applied: B2.5, B4.6 Date: 01/25/2012 Location(s): Montana Offices(s): Western Area Power Administration-Rocky Mountain Region

  15. CX-007135: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coolidge-Oracle Crossarm ReplacementCX(s) Applied: B1.3Date: 07/29/2010Location(s): Pinal County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  16. CX-000556: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Willoby Substation Construction Project-Weld County, ColoradoCX(s) Applied: B4.11Date: 12/16/2009Location(s): Weld County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-010890: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sheep's Knob Communication Site Road Maintenance CX(s) Applied: B1.3 Date: 08/20/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  18. CX-010889: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ault-Craig 345-Kilovolt WCMO Danger Tree Management CX(s) Applied: B1.3 Date: 08/14/2013 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-009800: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Urban Transmission Line Danger Tree Management CX(s) Applied: B1.3 Date: 01/15/2013 Location(s): Colorado, Colorado, Colorado, Colorado, Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  20. CX-011204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hayden-North Park 230-Kilovolt Transmission Lane Danger Tree Management CX(s) Applied: B1.3 Date: 08/30/2013 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  1. CX-006241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rock River Microwave Fiber Optic Installation, Albany County, WyomingCX(s) Applied: B4.7Date: 06/17/2011Location(s): Albany County, WyomingOffice(s): Western Area Power Administration-Rocky Mountain Region

  2. CX-012071: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer Substation Microwave Building Fiber Optic Installation CX(s) Applied: B4.7 Date: 04/29/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  3. CX-012092: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tucson-Apache 115-Kilovolt Transmission Line Structure Stabilization Project CX(s) Applied: B1.3 Date: 09/06/2013 Location(s): Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  4. CX-007148: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila Substation Electrical Equipment ReplacementCX(s) Applied: B4.6Date: 05/03/2011Location(s): Yuma County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  5. CX-008381: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big Thompson to Flatiron 13.8 Kilovolt Transmission Line Structure Replacement CX(s) Applied: B1.3 Date: 05/09/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  6. CX-011854: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Glen Canyon Substation 345 Kilovolt - Sulfur Hexafluoride and Concrete Pad Installation CX(s) Applied: B4.6 Date: 02/06/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  7. CX-012087: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Liberty Substation - Vegetation Management CX(s) Applied: B1.3 Date: 04/01/2014 Location(s): Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  8. CX-012344: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tucson Substation - Asbestos Abatement CX(s) Applied: B1.16 Date: 06/03/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  9. CX-011719: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cable Trenching in the Gila Substation CX(s) Applied: B4.6 Date: 01/13/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  10. CX-009534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Construct New Transmission Line and Footings, Garrison Switchyard CX(s) Applied: B4.13 Date: 12/03/2012 Location(s): North Dakota Offices(s): Western Area Power Administration-Upper Great Plains Region

  11. CX-012081: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kimball Substation KY1A Transformer Replacement and Road Maintenance CX(s) Applied: B1.3 Date: 02/10/2014 Location(s): Nebraska Offices(s): Western Area Power Administration-Rocky Mountain Region

  12. CX-003662: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hygiene Substation Access Road RepairsCX(s) Applied: B1.3, B4.6Date: 08/30/2010Location(s): Boulder County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  13. CX-003645: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hygiene Substation Access Road RepairsCX(s) Applied: B1.3, B4.6Date: 08/30/2010Location(s): Boulder County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-011258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    The Mid-America Regional Microgrid Education and Training Consortium CX(s) Applied: A9, B5.15 Date: 09/19/2013 Location(s): Missouri Offices(s): Golden Field Office

  15. CX-007165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prescott-Pinnacle Peak Bird Diversion Equipment AdditionCX(s) Applied: B1.20Date: 12/15/2010Location(s): Yavapai County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  16. CX-012077: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Craig to Hayden 230-Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 04/21/2014 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-012086: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wray-Wray Tap 115-Kilovolt Transmission Line Construction CX(s) Applied: B4.12 Date: 02/28/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  18. CX-012078: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on the Great Cut Tap 115-Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 02/20/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-012072: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer-Cheyenne North/South 115-kilovolt Transmission Line Structure Replacement CX(s) Applied: B4.13 Date: 03/18/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  20. CX-012084: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Snowy Range-Happy Jack 115-Kilovolt Transmission Line Structure Replacements CX(s) Applied: B1.3 Date: 03/10/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  1. CX-008563: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06/13/2012 Location(s): New York Offices(s): Golden Field Office

  2. CX-007929: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project: Black Hills Energy Compressed Natural Gas Infrastructure CX(s) Applied: B5.22 Date: 02/22/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  3. CX-006303: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Interconnection of the Pronghorn Gas Plant 115 Kilovolt Transmission LineCX(s) Applied: B4.11Date: 07/14/2011Location(s): MontanaOffice(s): Western Area Power Administration-Upper Great Plains Region

  4. CX-006889: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bristol to Groton Transmission Line Upgrade ProjectCX(s) Applied: B4.11Date: 10/11/2011Location(s): South DakotaOffice(s): Western Area Power Administration-Upper Great Plains Region

  5. CX-004895: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Davis Dam Switchyard (Breaker Cable Replacement)CX(s) Applied: B4.6Date: 08/05/2010Location(s): Maricopa County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  6. CX-004299: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tree Cutting Cheyenne Field Office Maintenance AreaCX(s) Applied: B1.3Date: 10/21/2010Location(s): Larimer, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  7. CX-005115: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Weld Substation Transformer Placement, Greeley, Weld County, ColoradoCX(s) Applied: B4.6Date: 01/07/2011Location(s): Greeley, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  8. CX-011860: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Mountain Microwave Tower Access road Maintenance, Rio Blanco County, Colorado CX(s) Applied: B1.3 Date: 01/28/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  9. CX-010686: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cheyenne Substation KV2A 115-kilovolt Tie Line Installation CX(s) Applied: B4.6 Date: 07/02/2013 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  10. CX-010545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila Knob Transmission Line Crossarm Replacement at Structure 18/3 CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): California Offices(s): Western Area Power Administration-Desert Southwest Region

  11. CX-010111: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Animas River Substation Site Drainage Remediation CX(s) Applied: B4.6 Date: 04/26/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  12. CX-012735: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Davis Dam Maintenance Building Installation at the old Davis Dam 69 Kilovolt West Switchyard CX(s) Applied: B4.11Date: 41820 Location(s): ArizonaOffices(s): Western Area Power Administration-Desert Southwest Region

  13. CX-012771: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sinclair Substation License Outgrant, Carbon County, Wyoming CX(s) Applied: B1.24Date: 41838 Location(s): WyomingOffices(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-012345: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Collbran Substation Conduit Installation and Breaker Replacement, Mesa County, Colorado CX(s) Applied: B4.6 Date: 06/03/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  15. CX-012741: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Liberty-Westwing 230 Kilovolt Transmission Line Insulator Replacement CX(s) Applied: B1.3Date: 41795 Location(s): ArizonaOffices(s): Western Area Power Administration-Desert Southwest Region

  16. CX-012734: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bouse Hills Pumping Plant to Harcuvar 115 Kilovolt Transmission Line, Inset Structure Installation CX(s) Applied: B4.6Date: 41878 Location(s): ArizonaOffices(s): Western Area Power Administration-Desert Southwest Region

  17. CX-012769: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Raspberry Microwave Building Footing Removal Montrose County, Colorado CX(s) Applied: B1.19Date: 41860 Location(s): ColoradoOffices(s): Western Area Power Administration-Rocky Mountain Region

  18. CX-011319: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Continuous Regional Methane Emissions Estimates in Northern Pennsylvania Gas Field Using Atmospheric Inversions CX(s) Applied: A9, B3.1 Date: 10/01/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  19. CX-011320: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Continuous Regional Methane Emissions Estimates in Northern Pennsylvania Gas Field Using Atmospheric Inversions CX(s) Applied: A9, B3.1 Date: 10/01/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  20. CX-011318: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Continuous Regional Methane Emissions Estimates in Northern Pennsylvania Gas Field Using Atmospheric Inversions CX(s) Applied: A9, B3.1 Date: 10/01/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  1. CX-007162: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pinnacle Peak Substation Electrical Equipment RemovalCX(s) Applied: B1.17Date: 05/09/2011Location(s): Maricopa County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  2. CX-006294: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Addition of a New Substation Near Lake Bowdoin, MontanaCX(s) Applied: B4.11Date: 07/14/2011Location(s): Lake Bowdoin, MontanaOffice(s): Western Area Power Administration-Upper Great Plains Region

  3. CX-006291: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Circle Substation ExpansionCX(s) Applied: B4.11Date: 07/14/2011Location(s): MontanaOffice(s): Western Area Power Administration-Upper Great Plains Region

  4. CX-009802: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lusk Rural Substation Control Building Construction CX(s) Applied: B1.3 Date: 01/16/2013 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  5. CX-005116: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lusk Substation Transformer Replacement, Lusk, Niobrara County, WyomingCX(s) Applied: B4.6Date: 01/24/2011Location(s): Lusk, WyomingOffice(s): Western Area Power Administration-Rocky Mountain Region

  6. CX-010098: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Phoenix to Lone Butte 230 Kilovolt Transmission Line, Bird Diverter Installation CX(s) Applied: B1.3 Date: 04/08/2013 Location(s): CX: none Offices(s): Western Area Power Administration-Desert Southwest Region

  7. CX-007800: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Blythe-Knob Guy Wire Anchor Replacement CX(s) Applied: B4.6 Date: 11/14/2011 Location(s): California Offices(s): Western Area Power Administration-Desert Southwest Region

  8. CX-007127: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Blythe-KnobCX(s) Applied: B1.3Date: 03/21/2011Location(s): Imperial County, California, Maricopa County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  9. CX-011227: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bi-Annual "Live Line" Maintenance Training CX(s) Applied: B1.2 Date: 10/08/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  10. CX-004899: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila-Yuma Tap (Transmission Line Reconstruction)CX(s) Applied: B4.6Date: 07/19/2010Location(s): Yuma County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  11. CX-010886: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Curecanti-Lost Canyon 230-Kilovolt Emergency Repairs of Downed Conductor CX(s) Applied: B1.3 Date: 08/06/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  12. CX-011648: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Davis-Parker 230 Kilovolt Transmission Line- Marker Ball(s) Replacement CX(s) Applied: B1.3 Date: 12/17/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  13. CX-007804: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flagstaff-Pinnacle Peak #2 Conductor Maintenance CX(s) Applied: B1.3 Date: 11/07/2011 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  14. CX-010097: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Herbicide Application at Lone Butte Substation During Fiscal Year 2013 CX(s) Applied: B1.3 Date: 04/24/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  15. CX-009407: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bucknum Substation Construction CX(s) Applied: B4.11 Date: 09/28/2012 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  16. CX-005580: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sidney to Sterling Transmission Line Structure Replacement, Logan County, ColoradoCX(s) Applied: B4.6Date: 12/22/2010Location(s): Logan County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-004457: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Trinity Line Cat Building InstallationCX(s) Applied: B1.15Date: 11/03/2010Location(s): Trinity County, CaliforniaOffice(s): Western Area Power Administration-Sierra Nevada Region

  18. CX-004883: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Trinity Line Cat Building InstallationCX(s) Applied: B1.15Date: 11/03/2010Location(s): Trinity County, CaliforniaOffice(s): Western Area Power Administration-Sierra Nevada Region

  19. CX-005928: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock Partnership Fiscal Year 2011CX(s) Applied: A9Date: 05/17/2011Location(s): South DakotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  20. CX-001582: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock PartnershipCX(s) Applied: A9Date: 03/30/2010Location(s): South DakotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  1. CX-003998: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock PartnershipCX(s) Applied: B3.1, B5.1Date: 09/22/2010Location(s): South DakotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  2. CX-004001: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock PartnershipCX(s) Applied: B3.1, B5.1Date: 09/22/2010Location(s): South DakotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  3. CX-006025: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock PartnershipCX(s) Applied: B3.8, B5.1Date: 05/26/2011Location(s): Champaign County, South DakotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-003985: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Regional Biomass Feedstock PartnershipCX(s) Applied: B3.1, B5.1Date: 09/22/2010Location(s): Onaway, MichiganOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  5. Determining physical properties of the cell cortex

    E-Print Network [OSTI]

    A. Saha; M. Nishikawa; M. Behrndt; C. -P. Heisenberg; F. Jlicher; S. W. Grill

    2015-07-02T23:59:59.000Z

    Actin and myosin assemble into a thin layer of a highly dynamic network underneath the membrane of eukaryotic cells. This network generates the forces that drive cell and tissue-scale morphogenetic processes. The effective material properties of this active network determine large-scale deformations and other morphogenetic events. For example,the characteristic time of stress relaxation (the Maxwell time)in the actomyosin sets the time scale of large-scale deformation of the cortex. Similarly, the characteristic length of stress propagation (the hydrodynamic length) sets the length scale of slow deformations, and a large hydrodynamic length is a prerequisite for long-ranged cortical flows. Here we introduce a method to determine physical parameters of the actomyosin cortical layer (in vivo). For this we investigate the relaxation dynamics of the cortex in response to laser ablation in the one-cell-stage {\\it C. elegans} embryo and in the gastrulating zebrafish embryo. These responses can be interpreted using a coarse grained physical description of the cortex in terms of a two dimensional thin film of an active viscoelastic gel. To determine the Maxwell time, the hydrodynamic length and the ratio of active stress and per-area friction, we evaluated the response to laser ablation in two different ways: by quantifying flow and density fields as a function of space and time, and by determining the time evolution of the shape of the ablated region. Importantly, both methods provide best fit physical parameters that are in close agreement with each other and that are similar to previous estimates in the two systems. We provide an accurate and robust means for measuring physical parameters of the actomyosin cortical layer.It can be useful for investigations of actomyosin mechanics at the cellular-scale, but also for providing insights in the active mechanics processes that govern tissue-scale morphogenesis.

  6. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  7. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  8. Enhancing regional security agreements through cooperative monitoring

    SciTech Connect (OSTI)

    Pregenzer, A.L.

    1995-05-01T23:59:59.000Z

    This paper proposes that strengthening regional capabilities for formulating and implementing arms control and confidence-building measures is a tangible method of enhancing regional security. It discusses the importance of developing a regional infrastructure for arms control and confidence building and elucidates the role of technology in facilitating regional arms control and confidence-building agreements. In addition, it identifies numerous applications for regional cooperative monitoring in the areas of arms control, resource management, international commerce and disaster response. The Cooperative Monitoring Center at Sandia National Laboratories, whose aim is to help individual countries and regions acquire the tools they need to develop their own solutions to regional problems, is discussed briefly. The paper ends with recommendations for establishing regional cooperative monitoring centers.

  9. REALIZATION OF THE REGIONAL ADVANTAGEOUS AGRICULTURAL

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    REALIZATION OF THE REGIONAL ADVANTAGEOUS AGRICULTURAL INDUSTRIES ANALYSIS SYSTEM Kaimeng Sun Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing,P. R. China 100081 Abstract: In this paper, a system for analyzing the strategic adjustment of regional agricultural

  10. DC High School Science Bowl Regionals

    Broader source: Energy.gov [DOE]

    This event is the Washington, D.C. High School Regional competition for the US National Science Bowl. The regional competition is run by the Office of Economic Impact and Diversity, and the...

  11. Regional Revolving Loan Trust Fund (New York)

    Broader source: Energy.gov [DOE]

    The Regional Revolving Loan Trust Fund Program, coordinated by the Empire State Development program, is operated in six regions by nonprofit organizations and provides working capital loans (up to ...

  12. Sandia National Laboratories: Photovoltaic Regional Testing Center...

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

    Grid Integration, Modeling, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Photovoltaic Regional Testing Center (PV RTC), Photovoltaic Systems Evaluation...

  13. 6, 1092910958, 2006 Regional scale CO2

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ACPD 6, 1092910958, 2006 Regional scale CO2 flux estimation using radon A. I. Hirsch Title Page Chemistry and Physics Discussions On using radon-222 and CO2 to calculate regional-scale CO2 fluxes A. I (Adam.Hirsch@noaa.gov) 10929 #12;ACPD 6, 1092910958, 2006 Regional scale CO2 flux estimation using

  14. Biochar and Carbon Sequestration: A Regional Perspective

    E-Print Network [OSTI]

    Everest, Graham R

    Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East of England #12;Low Carbon Innovation Centre Report for EEDA Biochar and Carbon Sequestration: A Regional Perspective 20/04/2009 ii Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East

  15. Segmentation into fuzzy regions using topographic distance

    E-Print Network [OSTI]

    Philipp-Foliguet, Sylvie

    recognition from fuzzy regions. Keywords: Segmentation, Fuzzy region, Watershed, Color image, TopographicSegmentation into fuzzy regions using topographic distance SYLVIE PHILIPP­FOLIGUET 1 MARCELO@dcc.ufmg.br, arnaldo@dcc.ufmg.br 3 Supported by CAPES. Abstract. This paper exposes an algorithm that leads to a fuzzy

  16. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L.

    1995-08-01T23:59:59.000Z

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities: (1) the demilitarization of the Sinai region between Israel and Egypt in the 1970s; (2) the 1991 quadripartite agreement for monitoring nuclear facilities among Brazil, Argentina, The Argentine-Brazilian Agency for Accounting and Control of Nuclear Materials and the International Atomic Energy Agency; and (3) a bilateral Open Skies agreement between Hungary and Romania in 1991. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations.Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  17. Regional Climate Model Projections for the State of Washington

    SciTech Connect (OSTI)

    Salathe, E.; Leung, Lai-Yung R.; Qian, Yun; Zhang, Yongxin

    2010-05-05T23:59:59.000Z

    Global climate models do not have sufficient spatial resolution to represent the atmospheric and land surface processes that determine the unique regional heterogeneity of the climate of the State of Washington. If future large-scale weather patterns interact differently with the local terrain and coastlines than current weather patterns, local changes in temperature and precipitation could be quite different from the coarse-scale changes projected by global models. Regional climate models explicitly simulate the interactions between the large-scale weather patterns simulated by a global model and the local terrain. We have performed two 100-year climate simulations using the Weather and Research Forecasting (WRF) model developed at the National Center for Atmospheric Research (NCAR). One simulation is forced by the NCAR Community Climate System Model version 3 (CCSM3) and the second is forced by a simulation of the Max Plank Institute, Hamburg, global model (ECHAM5). The mesoscale simulations produce regional changes in snow cover, cloudiness, and circulation patterns associated with interactions between the large-scale climate change and the regional topography and land-water contrasts. These changes substantially alter the temperature and precipitation trends over the region relative to the global model result or statistical downscaling. To illustrate this effect, we analyze the changes from the current climate (1970-1999) to the mid 21st century (2030-2059). Changes in seasonal-mean temperature, precipitation, and snowpack are presented. Several climatological indices of extreme daily weather are also presented: precipitation intensity, fraction of precipitation occurring in extreme daily events, heat wave frequency, growing season length, and frequency of warm nights. Despite somewhat different changes in seasonal precipitation and temperature from the two regional simulations, consistent results for changes in snowpack and extreme precipitation are found in both simulations.

  18. Securing non-volatile memory regions

    DOE Patents [OSTI]

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20T23:59:59.000Z

    Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

  19. Determination

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

    consisting of AZ road dust and soot in acetonitrile carrier solvent was sprayed onto glass coupons at very brief intervals with a high volume, low pressure pneumatic sprayer....

  20. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, C.M.; Pickett, J.B.; Brown, K.G.; Edwards, T.B.

    1998-12-08T23:59:59.000Z

    A process is described for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, {Delta}G{sub p}, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, {Delta}G{sub a}, based upon the free energy associated with weak acid dissociation, {Delta}G{sub a}{sup WA}, and accelerated matrix dissolution at high pH, {Delta}G{sub a}{sup SB} associated with solution strong base formation, and determining a final hydration free energy, {Delta}G{sub f}. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log{sub 10}(N C{sub i}(g/L))=a{sub i} + b{sub i}{Delta}G{sub f}. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained. 4 figs.

  1. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, Carol Maryanne (Aiken, SC); Pickett, John Butler (Aiken, SC); Brown, Kevin George (Augusta, GA); Edwards, Thomas Barry (Aiken, SC)

    1998-01-01T23:59:59.000Z

    A process for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, .DELTA.G.sub.p, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, .DELTA.G.sub.a, based upon the free energy associated with weak acid dissociation, .DELTA.G.sub.a.sup.WA, and accelerated matrix dissolution at high pH, .DELTA.G.sub.a.sup.SB associated with solution strong base formation, and determining a final hydration free energy, .DELTA.G.sub.f. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log.sub.10 (N C.sub.i (g/L))=a.sub.i +b.sub.i .DELTA.G.sub.f. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained.

  2. Non-destructive method for determining neutron exposure

    DOE Patents [OSTI]

    Gold, R.; McElroy, W.N.

    1983-11-01T23:59:59.000Z

    A non-destructive method for determination of neutron exposure in an object, such as a reactor pressure vessel, is based on the observation of characteristic gamma-rays emitted by activation products in the object by using a unique continuous gamma-ray spectrometer. The spectrometer views the object through appropriate collimators to determine the absolute emission rate of these characteristic gamma-rays, thereby ascertaining the absolute activity of given activation products in the object. These data can then be used to deduce the spatial and angular dependence of neutron exposure at regions of interest within the object.

  3. A rapid multiple-sample approach to the determination of absolute paleointensity

    E-Print Network [OSTI]

    Utrecht, Universiteit

    an alternative approach to absolute paleointensity determination, one which involves exactly five heatings involves the simultaneous thermal treatment of several subspecimens sampled from different regions throughout the igneous rock unit under investigation. For inclusion of data in a given determination, self

  4. Hierarchical probabilistic regionalization of volcanism for Sengan region in Japan using multivariate statistical techniques and geostatistical interpolation techniques.

    SciTech Connect (OSTI)

    Park, Jinyong (University of Arizona, Tucson, AZ); Balasingham, P. (University of Arizona, Tucson, AZ); McKenna, Sean Andrew; Kulatilake, Pinnaduwa H. S. W. (University of Arizona, Tucson, AZ)

    2004-09-01T23:59:59.000Z

    Sandia National Laboratories, under contract to Nuclear Waste Management Organization of Japan (NUMO), is performing research on regional classification of given sites in Japan with respect to potential volcanic disruption using multivariate statistics and geo-statistical interpolation techniques. This report provides results obtained for hierarchical probabilistic regionalization of volcanism for the Sengan region in Japan by applying multivariate statistical techniques and geostatistical interpolation techniques on the geologic data provided by NUMO. A workshop report produced in September 2003 by Sandia National Laboratories (Arnold et al., 2003) on volcanism lists a set of most important geologic variables as well as some secondary information related to volcanism. Geologic data extracted for the Sengan region in Japan from the data provided by NUMO revealed that data are not available at the same locations for all the important geologic variables. In other words, the geologic variable vectors were found to be incomplete spatially. However, it is necessary to have complete geologic variable vectors to perform multivariate statistical analyses. As a first step towards constructing complete geologic variable vectors, the Universal Transverse Mercator (UTM) zone 54 projected coordinate system and a 1 km square regular grid system were selected. The data available for each geologic variable on a geographic coordinate system were transferred to the aforementioned grid system. Also the recorded data on volcanic activity for Sengan region were produced on the same grid system. Each geologic variable map was compared with the recorded volcanic activity map to determine the geologic variables that are most important for volcanism. In the regionalized classification procedure, this step is known as the variable selection step. The following variables were determined as most important for volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate values for each variable at 23949 centers of the chosen 1 km cell grid system that represents the Sengan region. These values formed complete geologic variable vectors at each of the 23,949 one km cell centers.

  5. Stop on Top: SUSY Parameter Regions, Fine-Tuning Constraints

    E-Print Network [OSTI]

    Demir, Durmus Ali

    2014-01-01T23:59:59.000Z

    We analyze common supersymmetric models in order to determine in what parameter regions with what amount of fine-tuning they are capable of accomodating the LHC-allowed top-stop degeneracy window. The stops must be light enough to enable Higgs naturalness yet heavy enough to induce a 125 GeV Higgs boson mass. These two constraints require the two stops to have a large mass splitting. We find that, compared to the usual neutralino-LSP CMSSM, the NUHM and gravitino-LSP CMSSM models possess relatively wide regions in which the light stop weighs close to the top quark. The fine-tuning involved lies in 10^3-10^4 range.

  6. Wind Powering America's Regional Stakeholder Meetings and Priority State Reports: FY11 Summary

    SciTech Connect (OSTI)

    Not Available

    2013-06-01T23:59:59.000Z

    Beginning in 2010, DOE conducted an assessment of Wind Powering America (WPA) activities to determine whether the methods the department had used to help grow the wind industry to provide 2% of the nation's electrical energy should be the same methods used to achieve 20% of the nation's energy from wind (as described in the report 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply). After the assessment, it was determined that the initiative's state-based activities should be phased out as part of a shift to regional-based approaches. To assist with this transition, WPA hosted a series of 1-day regional meetings at six strategic locations around the country and a single teleconference for island states, U.S. territories, and remote communities. This report summarizes the results of the inaugural regional meetings and the state reports with a focus on ongoing wind deployment barriers in each region.

  7. Northwest Regional Technology Center, March 2013 Page 1 of 2 Around The Region In Homeland Security

    E-Print Network [OSTI]

    to homeland security in the region, and this issue highlights Puget Sound Regional Blue Force Tracking Puget Sound Regional Blue Force Tracking Initiative The Puget Sound Regional Blue Force Tracking (BFTS the Puget Sound Area Maritime Security Committee Area of Responsibility. As part of the Initiative

  8. Emitting gas regions in Mrk 493: An extensive Fe II line emission region

    E-Print Network [OSTI]

    L. C. Popovic; A. Smirnova; D. Ilic; A. Moiseev; J. Kovacevic; V. Afanasiev

    2007-01-24T23:59:59.000Z

    We performed 3D spectroscopic observations of Mrk 493 in order to investigate the Fe II emitting region and their possible connection with the Hydrogen emitting region. We found that there is a strong Fe II emission in an extensive region ~ 4" x 4" around Sy 1 nucleus. The Fe II line width indicates that these lines are originated in an intermediate line region.

  9. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  10. CX-012090: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson-Mead Number 2 230-Kilovolt Transmission Line, Erosion Repair at Structure 2/4 CX(s) Applied: B1.3 Date: 09/11/2013 Location(s): Nevada, Nevada Offices(s): Western Area Power Administration-Desert Southwest Region

  11. CX-010682: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Herbicide Application at Four Substations: Amargosa, Boulder City, Henderson, and Mead located in Nevada during Fiscal Year 2014 CX(s) Applied: B1.3 Date: 07/01/2013 Location(s): Nevada Offices(s): Western Area Power Administration-Desert Southwest Region

  12. CX-011718: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electrical District 2 to Saguaro #2 115 Kilovolt Transmission Line, Marker Ball Installation at Structure 26-10. CX(s) Applied: B1.3 Date: 01/09/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  13. CX-010677: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Removal and replacement of Oracle Breakers 562 and 762 along with associated disconnects. CX(s) Applied: B4.6 Date: 07/02/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  14. CX-010406: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Davis Dam to Kingman Tap 69 Kilovolt Transmission Line, Overhead Optical Power Ground Wire Installation CX(s) Applied: B4.7 Date: 05/16/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  15. CX-008783: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Fiber Optic Installation at the Stegall 230 Kilovolt Substation Scotts Bluff County, Nebraska CX(s) Applied: B4.7 Date: 06/20/2012 Location(s): Nebraska Offices(s): Western Area Power Administration-Rocky Mountain Region

  16. CX-010888: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Great Cut-McPhee 12.5-Kilovolt Fiber Optic Line Replacement CX(s) Applied: B1.3, B4.7 Date: 08/08/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-008793: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gore Pass to Muddy Pass: Single Pole and Multiple Cross Arm Replacements Grand County, Wyoming CX(s) Applied: B1.3, B4.6 Date: 09/16/2011 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  18. CX-011721: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gore Pass-Muddy Pass 69 Kilovolt Transmission Line Danger Tree Management in Grand and Jackson Counties, Colorado CX(s) Applied: B1.3 Date: 12/31/2013 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-011853: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Outgrant to Southwest Gas for an Underground Natural Gas Distribution Pipeline at Coolidge Substation CX(s) Applied: B1.24 Date: 02/18/2014 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  20. CX-011620: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Terry Ranch Road Substation (Amended) CX(s) Applied: B1.24, B4.1, B4.11 Date: 12/04/2013 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  1. CX-012082: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lusk Rural Communications Building Removal CX(s) Applied: B1.22, B1.23, B1.24 Date: 04/25/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  2. CX-002447: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Alaska Regional Geothermal Energy Project-Implementation of a Demonstration Enhanced Geothermal System Project in Naknek, AlaskaCX(s) Applied: B3.1Date: 06/02/2010Location(s): Naknek, AlaskaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  3. CX-011203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Emergency Storm Damage Repairs to the Gila North Gila, Gila Knob, and Sonora San Luis Transmission Lines, near Yuma, Yuma County, Arizona CX(s) Applied: B4.6 Date: 08/26/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  4. CX-008399: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Erosion Control Measures Structure No. 110-3 Dave Johnston to Stegall 230 Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 03/29/2012 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  5. CX-006239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Structure Replacement, Guernsey Rural Substation to Limestone Substation, Platte County, WyomingCX(s) Applied: B4.6Date: 10/02/2009Location(s): Platte County, WyomingOffice(s): Western Area Power Administration-Rocky Mountain Region

  6. CX-012747: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alcova-Miracle Mile East 115 Kilovolt Transmission Line Fiber Optic Ground Wire and Structure Replacement Project Natrona and Carbon Counties, Wyoming CX(s) Applied: B1.3, B4.7Date: 41855 Location(s): WyomingOffices(s): Western Area Power Administration-Rocky Mountain Region

  7. CX-005938: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Roseville Elverta (RSC-ELV) Optical Ground Wire Replacement ProjectCX(s) Applied: B4.6, B4.7Date: 05/04/2011Location(s): Sacramento, CaliforniaOffice(s): Western Area Power Administration-Sierra Nevada Region

  8. CX-010882: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Liberty-Parker Dam #2 230-Kilovolt Transmission Line, Optical Power Ground Wire Repair CX(s) Applied: B4.7 Date: 08/22/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  9. CX-010684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cottonwood-Roseville Optical Groundwire Project CX(s) Applied: B4.6, B4.7, B4.11, B4.13 Date: 07/03/2013 Location(s): California Offices(s): Western Area Power Administration-Sierra Nevada Region

  10. CX-006896: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Maxwell - O'Banion Optical Ground WireCX(s) Applied: B1.7, B4.6, B4.7, B4.11Date: 09/15/2011Location(s): Sutter County, CaliforniaOffice(s): Western Area Power Administration-Sierra Nevada Region, National Energy Technology Laboratory

  11. CX-010675: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Parker Dam to Gila 161-kilovolt Transmission Line, Cross Arm Replacement at Structure 0/7 CX(s) Applied: B1.3 Date: 07/22/2013 Location(s): California Offices(s): Western Area Power Administration-Desert Southwest Region

  12. CX-003021: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Structure Replacements and Reconductor Black Hollow to Ault Transmission Line, Weld County, ColoradoCX(s) Applied: B4.6Date: 06/01/2010Location(s): Weld County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  13. CX-010885: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kiowa Creek-Weld 115-Kilovolt Transmission Line Culvert Replacement CX(s) Applied: B1.3, B1.33 Date: 08/06/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-010096: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Herbicide Application at 36 Substations Located in Arizona and California During Fiscal Year 2013 CX(s) Applied: B1.3 Date: 04/19/2013 Location(s): Arizona, Arizona, Arizona, Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  15. CX-011858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Beaver Creek-Sterling 115 Kilovolt Transmission Line Structure Relocation, Morgan County, Colorado CX(s) Applied: B4.13 Date: 01/21/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  16. CX-009227: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Beaver Creek- Big Sandy 115 Kilovolt Transmission Line Structure Replacements - Last Chance Fire CX(s) Applied: B4.13 Date: 08/31/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-012083: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rosedale-Willowby-Kiowa Creek 115-Kilovolt Transmission Line Wood H-Structure Replacement CX(s) Applied: B1.3 Date: 04/10/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  18. CX-012757: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Curecanti-Lost Canyon 230 Kilovolt Transmission Line Phase II Montezuma County, Colorado CX(s) Applied: B1.3Date: 41838 Location(s): ColoradoOffices(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-012758: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Curecanti to South Canal and South Canal to Montrose 115 Kilovolt Transmission Lines, Gunnison County, Colorado CX(s) Applied: B1.3Date: 41855 Location(s): ColoradoOffices(s): Western Area Power Administration-Rocky Mountain Region

  20. CX-012759: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Hayden-Gore Pass 230 Kilovolt Transmission Line Grand and Routt Counties, Colorado CX(s) Applied: B1.3Date: 41866 Location(s): ColoradoOffices(s): Western Area Power Administration-Rocky Mountain Region

  1. CX-011233: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Curecanti-Morrow Point 230 Kilovolt Transmission Line Danger Tree Management, Montrose County, Colorado CX(s) Applied: B1.3 Date: 10/17/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  2. CX-010108: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Curecanti-Crystal, 115 Kilovolt Transmission Line Danger Tree and Vegetation Management CX(s) Applied: B1.3 Date: 04/25/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  3. CX-012216: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Curecanti-Morrow Point 230 Kilovolt Transmission Line (Amended), Montrose County, Colorado CX(s) Applied: B1.3 Date: 05/16/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  4. CX-011207: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ault-Craig 345-Kilovolt Transmission Line Eastern Colorado Maintenance Office Danger Tree Management CX(s) Applied: B1.3 Date: 09/09/2013 Location(s): Colorado, Colorado, Colorado, Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  5. CX-010550: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Upper Molina-Lower Molina 115 Kilovolt Danger Tree Management Mesa County, Colorado CX(s) Applied: B1.3 Date: 06/14/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  6. CX-012760: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Hesperus-Montrose 345 Kilovolt Transmission Line, Phase II Montezuma County, Colorado CX(s) Applied: B1.3Date: 41838 Location(s): ColoradoOffices(s): Western Area Power Administration-Rocky Mountain Region

  7. CX-011230: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Artesia Tap- Southwest Rangely 138 Kilovolt Transmission Line Danger Tree and Herbicide Treatment for Vegetation Management CX(s) Applied: B1.3 Date: 09/26/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  8. CX-005937: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Boyd-Valley Transmission Line Optical Ground Wire Fiber Optic Installation, Larimer County, ColoradoCX(s) Applied: B4.7Date: 05/18/2011Location(s): Larimer County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  9. CX-009803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Western's Power Marketing Operations Center New Fiber Optic Cable Installation CX(s) Applied: B1.31, B2.2, B4.7 Date: 01/16/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  10. CX-006244: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Craig-Bears Ears-Hayden Substations Fiber Optic and Pole Installation, Moffat and Routt Counties, ColoradoCX(s) Applied: B4.6, B4.7Date: 05/17/2011Location(s): Moffat, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  11. CX-010683: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Glen Canyon Substation Stage 09- 50MVA 230/69KV Transformer addition CX(s) Applied: B4.11 Date: 07/02/2013 Location(s): Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  12. CX-007140: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Vegetation Removal and Access Road Maintenance along the existing Electrical District 2-Saguaro #2 115-kV transmission lineCX(s) Applied: B1.3Date: 03/21/2011Location(s): Pinal County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  13. CX-007151: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila-Knob Structure, Access Road Maintenance & Vegetation RemovalCX(s) Applied: B4.6Date: 02/07/2011Location(s): Yuma County, AZ; Imperial County, CA, Arizona, CaliforniaOffice(s): Western Area Power Administration-Desert Southwest Region

  14. CX-007150: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila-Knob Structure, Access Road Maintenance & Vegetation RemovalCX(s) Applied: B4.6Date: 08/02/2011Location(s): Yuma County, AZ; Imperial County, CA, Arizona, CaliforniaOffice(s): Western Area Power Administration-Desert Southwest Region

  15. CX-012088: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Emergency Installation of Concrete Pad for Western's Communication Tower at Valley Farms Substation CX(s) Applied: B4.6 Date: 04/01/2014 Location(s): Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  16. CX-012339: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Crossman Peak Communication Site Lease and Equipment Upgrades at 5 Facilities CX(s) Applied: B1.19 Date: 06/02/2014 Location(s): Arizona, Arizona, Arizona, California, Nevada Offices(s): Western Area Power Administration-Desert Southwest Region

  17. CX-007799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Black Point Communication Site Building Replacement CX(s) Applied: B1.3, B1.16, B1.19, B1.23 Date: 10/17/2011 Location(s): California Offices(s): Western Area Power Administration-Desert Southwest Region

  18. CX-005936: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Erie to Terry Street and Lyons to Longmont Northwest 115 Kilovolt Transmission Line Structure Replacements, Boulder and Broomfield Counties, ColoradoCX(s) Applied: B4.6Date: 05/16/2011Location(s): Boulder County, ColoradoOffice(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-011778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    South-Central Partnership for Energy Efficiency as a Resource (SPEER) Achieving Regional Energy Efficiency Potential in the South-Central U.S. CX(s) Applied: A9 Date: 01/22/2014 Location(s): Texas Offices(s): Golden Field Office

  20. CX-005949: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Characterization of Most Promising Sequestration Formations in the Rocky Mountain Region- TerraTekCX(s) Applied: B3.6Date: 06/04/2011Location(s): Salt Lake City, UtahOffice(s): Fossil Energy, National Energy Technology Laboratory

  1. CX-011857: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer-Cheyenne North/South 115 Kilovolt Transmission Line Structure Replacement, Laramie County, Wyoming CX(s) Applied: B4.13 Date: 01/28/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  2. CX-012353: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Green Mountain-Kremmling 69-kilovolt Transmission Line Maintenance, Grand and Summit Counties, Colorado CX(s) Applied: B1.3 Date: 07/02/2014 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  3. CX-009235: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Willow Creek - Granby Tap 2.4 Kilovolt Distribution Line Structure 0/3A Pole Replacement Project CX(s) Applied: B4.6 Date: 09/20/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  4. CX-009088: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Curecanti-Crystal 115 Kilovolt Transmission Line Routine Maintenance of Existing Access Roads and Right-of-Ways CX(s) Applied: B1.3 Date: 08/07/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  5. CX-012347: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Craig-Rifle 230-kilovolt Transmission Line, Moffat, Rio Blanco, and Garfield Counties, Colorado CX(s) Applied: B1.3 Date: 06/02/2014 Location(s): Colorado, Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  6. CX-007164: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prescott-Pinnacle Peak & Pinnacle Peak-Rogers Aerial Marker Ball AdditionCX(s) Applied: B1.9Date: 01/07/2011Location(s): Maricopa County, ArizonaOffice(s): Western Area Power Administration-Desert Southwest Region

  7. CX-012351: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Green Mountain-Blue Ridge Repeater 2.4-kilovolt Distribution Line (Amended), Grand County, Colorado CX(s) Applied: B1.3 Date: 06/23/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  8. CX-008782: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on North Gunnison to Skito 115 Kilovolt Transmission Line Gunnison County, Colorado CX(s) Applied: B1.3 Date: 07/02/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  9. CX-012346: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Blue River-Gore Pass 230-kilovolt Transmission Line (Amended), Grand County, Colorado CX(s) Applied: B1.3 Date: 06/02/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  10. CX-008781: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Curecanti to Blue Mesa 115 Kilovolt Transmission Line Gunnison County, Colorado CX(s) Applied: B1.3 Date: 07/02/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  11. CX-012356: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lovell-Yellowtail No. 1 115-kilovolt Transmission Line Culvert Replacement Project, Big Horn County, Wyoming CX(s) Applied: B1.3 Date: 07/01/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  12. CX-008777: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Boysen-Thermopolis 115 Kilowolt Transmission Line Structure 15/6 Pole Replacement Project Fremont County, Wyoming CX(s) Applied: B4.6 Date: 07/02/2012 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  13. CX-012214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Copper Mountain-Pilot Butte 34.5 Kilovolt Transmission Line Structure Pole Replacement Project, Fremont County, Wyoming CX(s) Applied: B1.3 Date: 05/05/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-012348: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Curecanti to Poncha 230-kilovolt Transmission Line, Gunnison County, Colorado CX(s) Applied: B1.3 Date: 07/02/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  15. CX-012352: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flaming Gorge Microwave Site Communications Building Access Road Repairs, Daggett County, Utah (Amended) CX(s) Applied: B1.3 Date: 06/03/2014 Location(s): Utah Offices(s): Western Area Power Administration-Rocky Mountain Region

  16. CX-010549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chappell, Julesburg, and Kersey Tap Line Switch Replacements in Deuel County, Nebraska and Weld County, Colorado CX(s) Applied: B4.6, B4.11 Date: 06/04/2013 Location(s): Nebraska, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-011859: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big George-Heart Mountain 69 Kilovolt Transmission Line Glendale Tap Replacement, Park County, Wyoming CX(s) Applied: B4.6 Date: 01/21/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  18. CX-012073: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big George-Heart Mountain 69-Kilovolt Transmission Line Glendale Tap Replacement (Amended) CX(s) Applied: B4.13 Date: 05/01/2014 Location(s): Wyoming Offices(s): Western Area Power Administration-Rocky Mountain Region

  19. CX-002610: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate Regional Carbon Dioxide Sequestration Potential of Ozark Plateau Aquifer System, South-Central KansasCX(s) Applied: B3.1, A9Date: 12/11/2009Location(s): Sumner County, KansasOffice(s): Fossil Energy, National Energy Technology Laboratory

  20. CX-002613: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate Regional Carbon Dioxide Sequestration Potential of Ozark Plateau Aquifer System, South-Central KansasCX(s) Applied: B3.1, A9Date: 12/11/2009Location(s): Sumner County, KansasOffice(s): Fossil Energy, National Energy Technology Laboratory

  1. CX-008787: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midway Substation 230 Kilovolt Upgrades El Paso County, Colorado CX(s) Applied: B4.6, B4.11 Date: 07/25/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  2. CX-012349: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Gore Pass-Hayden 138-kilovolt Transmission Line, Grand and Routt Counties, Colorado CX(s) Applied: B1.3 Date: 06/02/2014 Location(s): Colorado, Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  3. CX-012350: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Danger Tree Management on Gore Pass-Kremmling 138-kilovolt Transmission Line (Amended), Grand County, Colorado CX(s) Applied: B1.3 Date: 07/01/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  4. CX-007149: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gila-Knob Structure, Access Road Maintenance & Vegetation Removal Amendment 1CX(s) Applied: B4.6Date: 02/18/2011Location(s): Yuma County, AZ; Imperial County, CA, Arizona, CaliforniaOffice(s): Western Area Power Administration-Desert Southwest Region

  5. CX-012340: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flagstaff Pinnacle Peak #1 & 2 Transmission Lines - Slid Static Damper Repair at Structures 134/3 & 139/2 CX(s) Applied: B1.3 Date: 06/11/2014 Location(s): Arizona, Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  6. CX-010881: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Glen Canyon to Flagstaff #2 345-Kilovolt Transmission Line, Access Road Maintenance from Structure 45/5 to 46/1 CX(s) Applied: B1.3 Date: 08/08/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  7. CX-012751: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Casper-Seminoe (Retired) 69 Kilovolt Transmission Line Emergency Conductor Removal Carbon and Natrona Counties, Wyoming CX(s) Applied: B4.10Date: 41858 Location(s): WyomingOffices(s): Western Area Power Administration-Rocky Mountain Region

  8. CX-010883: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    PHX-LOB and LIB-LOB 230-Kilovolt Double-Circuit- Replace Insulators at Structure No. 28-2 With NCI Type Polymers CX(s) Applied: B1.3 Date: 08/12/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  9. CX-011722: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Green Mountain-Blue Ridge Repeater 2.4 Kilovolt Distribution Line Danger Tree Management in Grand County, Colorado CX(s) Applied: B1.3 Date: 12/31/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  10. CX-011720: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Blue River-Gore Pass 230 Kilovolt Transmission Line Danger Tree Management in Grand County, Colorado CX(s) Applied: B1.3 Date: 01/06/2014 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  11. CX-008378: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer 230 Kilovolt Bay Addition for New Point of Delivery - Stage 07 CX(s) Applied: B4.6 Date: 03/08/2012 Location(s): CX: none Offices(s): Western Area Power Administration-Rocky Mountain Region

  12. CX-008788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rifle and Craig Substation Modifications and Approach Spans Re-Conductoring Garfield County, Rifle, Colorado and Moffat County, Craig, Colorado CX(s) Applied: B4.6, B4.13 Date: 05/22/2012 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  13. CX-008403: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multiple Structure Replacement Flaming Gorge to Vernal No. 1 138 Kilovolt Transmission Line CX(s) Applied: B1.3 Date: 03/29/2012 Location(s): Utah Offices(s): Western Area Power Administration-Rocky Mountain Region

  14. CX-011231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hayden Communications Site Tower Removal and Parking Area Grading Routt County, Colorado CX(s) Applied: B1.3, B1.19 Date: 10/01/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  15. CX-011617: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hayden Communications Site Tower Removal and Parking Area Grading (Amended) CX(s) Applied: B1.3, B1.19 Date: 11/21/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  16. CX-011232: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gore Pass-Hayden 138 Kilovolt Transmission Line Emergency Repairs of Downed Conductor Grand County, Colorado CX(s) Applied: B1.3 Date: 10/09/2013 Location(s): Colorado Offices(s): Western Area Power Administration-Rocky Mountain Region

  17. CX-002198: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rock Slough Pole ReplacementCX(s) Applied: B1.20, B4.6, B4.13Date: 03/25/2010Location(s): Contra Costa Canal, CaliforniaOffice(s): Western Area Power Administration-Sierra Nevada Region

  18. CX-004878: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rock Slough Pole Replacement ProjectCX(s) Applied: B1.20, B4.6, B4.13Date: 03/25/2010Location(s): Oakley, CaliforniaOffice(s): Western Area Power Administration-Sierra Nevada Region

  19. CX-011202: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    COLORA - Cross-Arm Replacement, Structure Numbers 12-3, 12-6 CX(s) Applied: B1.3 Date: 09/23/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  20. CX-011228: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Structure 112-4 LIBPAD1 230-kilovolt Transmission Line "Live Line" Maintenance Training CX(s) Applied: B1.2 Date: 10/25/2013 Location(s): Arizona Offices(s): Western Area Power Administration-Desert Southwest Region

  1. Determining Cropland Share Rental Arrangements

    E-Print Network [OSTI]

    Dhuyvetter, Kevin C.; Kastens, Terry L.; Outlaw, Joe

    1999-06-23T23:59:59.000Z

    Determining Cropland Share Rental Arrangements Kevin C. Dhuyvetter, Terry L. Kastens and Joe L. Outlaw * Many crop producers rely heavily on rented land in their farming operations. The rental arrangements between landowners and producers can...

  2. CX-010776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Primary Coolant Leak Rate Determination System Equipment Replacement CX(s) Applied: B2.2 Date: 07/24/2013 Location(s): Idaho Offices(s): Nuclear Energy

  3. CX-008905: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  4. Cotton Gin Dust Explosibility Determinations

    E-Print Network [OSTI]

    Vanderlick, Francis Jerome

    2014-01-06T23:59:59.000Z

    COTTON GIN DUST EXPLOSIBILITY DETERMINATIONS A Thesis by FRANCIS JEROME VANDERLICK Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree... Francis Jerome Vanderlick ii ABSTRACT Following the recent Imperial sugar dust explosion in 2008, a comprehensive survey of past dust explosions was conducted by the Occupational Safety and Health Administration (OSHA) to determine potential...

  5. Gender determination of avian embryo

    DOE Patents [OSTI]

    Daum, Keith A. (Idaho Falls, ID); Atkinson, David A. (Idaho Falls, ID)

    2002-01-01T23:59:59.000Z

    Disclosed is a method for gender determination of avian embryos. During the embryo incubation process, the outer hard shells of eggs are drilled and samples of allantoic fluid are removed. The allantoic fluids are directly introduced into an ion mobility spectrometer (IMS) for analysis. The resulting spectra contain the relevant marker peaks in the positive or negative mode which correlate with unique mobilities which are sex-specific. This way, the gender of the embryo can be determined.

  6. CAIRNS: The Cluster And Infall Region Nearby Survey II. Environmental Dependence of Infrared Mass-to-Light Ratios

    E-Print Network [OSTI]

    K. Rines; M. J. Geller; A. Diaferio; M. J. Kurtz; T. H. Jarrett

    2004-06-11T23:59:59.000Z

    CAIRNS (Cluster And Infall Region Nearby Survey) is a spectroscopic survey of the infall regions surrounding nine nearby rich clusters of galaxies. In Paper I, we used redshifts within $\\sim 10\\Mpc$ of the centers of the clusters to determine the mass profiles of the clusters based on the phase space distribution of the galaxies. Here, we use 2MASS photometry and an additional \

  7. Modeling the Summertime Climate of Southwest Asia: The Role of Land Surface Processes in Shaping the Climate of Semiarid Regions

    E-Print Network [OSTI]

    Marcella, Marc P.

    Presented is a study on the role of land surface processes in determining the summertime climate over the semiarid region of southwest Asia. In this region, a warm surface air temperature bias of 3.5C is simulated in the ...

  8. HIIphot: Automated Photometry of HII Regions Applied to M51

    E-Print Network [OSTI]

    David A. Thilker; Robert Braun; Rene A. M. Walterbos

    2000-06-01T23:59:59.000Z

    We have developed a robust, automated method, hereafter designated HIIphot, which enables accurate photometric characterization of HII regions while permitting genuine adaptivity to irregular source morphology. HIIphot utilizes object-recognition techniques to make a first guess at the shapes of all sources then allows for departure from such idealized ``seeds'' through an iterative growing procedure. Photometric corrections for spatially coincident diffuse emission are derived from a low-order surface fit to the background after exclusion of all detected sources. We present results for the well-studied, nearby spiral M51 in which 1229 HII regions are detected above the 5-sigma level. A simple, weighted power-law fit to the measured H-alpha luminosity function (HII LF) above log L_H-alpha = 37.6 gives alpha = -1.75+/-0.06, despite a conspicuous break in the HII LF observed near L_H-alpha = 10^38.9. Our best- fit slope is marginally steeper than measured by Rand (1992), perhaps reflecting our increased sensitivity at low luminosities and to notably diffuse objects. HII regions located in interarm gaps are preferentially less luminous than counterparts which constitute M51's grand-design spiral arms and are best fit with a power-law slope of alpha = -1.96+/-0.15. We assign arm/interarm status for HII regions based upon the varying surface brightness of diffuse emission as a function of position throughout the image. Using our measurement of the integrated flux contributed by resolved HII regions in M51, we estimate the diffuse fraction to be approximately 0.45 -- in agreement with the determination of Greenawalt et al. (1998). Automated processing of degraded datasets is undertaken to gauge systematic effects associated with limiting spatial resolution and sensitivity.

  9. PHYSICAL PROPERTIES OF COOLING PLASMA IN QUIESCENT ACTIVE REGION LOOPS

    SciTech Connect (OSTI)

    Landi, E. [Artep, Inc. at Naval Research Laboratory, 4555 Overlook Ave. S.W., 20375-5320, Washington DC (United States); Miralles, M. P. [Harvard-Smithsonian Center for Astrophysics, 60 Garden St., MS-50, Cambridge, MA 02138 (United States); Curdt, W. [Max Planck Institut fuer Sonnensystemforschung, Max Planck Strasse 2, Katlenburg-Lindau 37191 (Germany); Hara, H. [National Astronomical Observatory of Japan, Osawa, Mitaka, Tokyo 181-8588 (Japan)

    2009-04-10T23:59:59.000Z

    In the present work, we use SOHO/SUMER, SOHO/UVCS, SOHO/EIT, SOHO/LASCO, STEREO/EUVI, and Hinode/EIS coordinated observations of an active region (AR 10989) at the west limb taken on 2008 April 8 to study the cooling of coronal loops. The cooling plasma is identified using the intensities of SUMER spectral lines emitted at temperatures in the 4.15 {<=} log T {<=} 5.45 range. EIS and SUMER spectral observations are used to measure the physical properties of the loops. We found that before cooling took place these loops were filled with coronal hole-like plasma, with temperatures in the 5.6 {<=} log T {<=} 5.9 range. SUMER spectra also allowed us to determine the plasma temperature, density, emission measure, element abundances, and dynamic status during the cooling process. The ability of EUVI to observe the emitting region from a different direction allowed us to measure the volume of the emitting region and estimate its emission measure. Comparison with values measured from line intensities provided us with an estimate of the filling factor. UVCS observations of the coronal emission above the active region showed no streamer structure associated with AR 10989 at position angles between 242{sup 0}and 253.{sup 0} EIT, LASCO, and EUVI-A narrowband images and UVCS spectral observations were used to discriminate between different scenarios and monitor the behavior of the active region in time. The present study provides the first detailed measurements of the physical properties of cooling loops, a very important benchmark for theoretical models of loop cooling and condensation.

  10. Enforcement Policy Statement: Regional Standards Enforcement...

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

    42 U.S.C. 6291-6309, which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States....

  11. BPA Regional Science Bowl Begins Jan. 31

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

    Regional-Science-Bowl-Begins-Jan-31 Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  12. Regional Analysis And Characterization Of Fractured Aquifers...

    Open Energy Info (EERE)

    Regional Analysis And Characterization Of Fractured Aquifers In The Virginia Blue Ridge And Piedmont Provinces Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  13. Regional Carbon Sequestration Partnerships Validation Phase ...

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

    Regional Carbon Sequestration Partnerships Validation Phase Core Storage R&D Storage Infrastructure Strategic Program Support NATCARBAtlas Program Plan Project Portfolio...

  14. Sandia National Laboratories: Vermont Photovoltaic Regional Test...

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

    Photovoltaic Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The...

  15. Regional Districts, Commissions, and Authorities (South Carolina)

    Broader source: Energy.gov [DOE]

    This legislation establishes a number of regional districts, commissions, and authorities with the power to implement regulations and development plans for protected park and recreational areas.

  16. Regional geophysics, Cenozoic tectonics and geologic resources...

    Open Energy Info (EERE)

    geophysics, Cenozoic tectonics and geologic resources of the Basin and Range Province and adjoining regions Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  17. Southeast Regional Clean Energy Policy Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

  18. Northwest Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  19. 2011 Municipal Consortium Northwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northwest Region Workshop, held in Seattle July 15, 2011.

  20. Pacific Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  1. Regional Resource Centers for Innovation Brochure (Revised)

    SciTech Connect (OSTI)

    Wogsland, J.

    2000-09-14T23:59:59.000Z

    This brochure describes OIT's Regional Resource Centers for Innovation (RCIs), which provide the Innovation and Invention program grantees and other small business energy innovators commercialization assistance.

  2. Northeast Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  3. Western Regional Emergency Medicine Student Symposium

    E-Print Network [OSTI]

    Joseph, Daniel A; Fernandez, Jorge

    2009-01-01T23:59:59.000Z

    Western Regional Emergency Medicine Student Symposium DanielFernandez, MD Keck School of Medicine of the University ofDepartment of Emergency Medicine, Los Angles, CA The Western

  4. CX-000616: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000616: Categorical Exclusion Determination Enhanced Wind Resource Assessment at Naval Station Newport; National Renewable Energy Laboratory...

  5. CX-008582: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008582: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic (PV) Manufacturing Initiative - Core Subawards CX(s)...

  6. CX-011845: Categorical Exclusion Determination | Department of...

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

    45: Categorical Exclusion Determination CX-011845: Categorical Exclusion Determination Materials Characterization Laboratory & RadiologicalEnvironment, Safety and Health Training...

  7. CX-005367: Categorical Exclusion Determination | Department of...

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

    67: Categorical Exclusion Determination CX-005367: Categorical Exclusion Determination Project T-222 Hazardous Materials Management Emergency Response (HAMMER) Training Facility...

  8. CX-002612: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002612: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  9. CX-002609: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002609: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  10. CX-000462: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000462: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  11. CX-002611: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002611: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  12. DOE Publishes Supplemental Proposed Determination for Miscellaneous...

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

    Proposed Determination for Miscellaneous Residential Refrigeration Products DOE Publishes Supplemental Proposed Determination for Miscellaneous Residential Refrigeration Products...

  13. CX-006275: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006275: Categorical Exclusion Determination Energy Audit; Efficiency Improvements; and Renewable Energy Installations; Township of...

  14. Unreviewed Safety Question Determination - Processing Waste in...

    Office of Environmental Management (EM)

    Unreviewed Safety Question Determination - Processing Waste in the Waste Characterization Glovebox Unreviewed Safety Question Determination - Processing Waste in the Waste...

  15. Categorical Exclusion Determinations: Science | Department of...

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

    Science Categorical Exclusion Determinations: Science Categorical Exclusion Determinations issued by Science. DOCUMENTS AVAILABLE FOR DOWNLOAD February 9, 2012 CX-008000:...

  16. CX-001459: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-001459: Categorical Exclusion Determination Air Quality VIII: An International Conference on Carbon Management, Mercury, Trace Elements,...

  17. CX-000771: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000771: Categorical Exclusion Determination New York Revised Narrative Information Worksheet for Energy Efficiency Program for...

  18. CX-001276: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001276: Categorical Exclusion Determination Install Photovoltaic Roof System, Energy Efficiency Retrofits, Building Audits, and Hire a Committee...

  19. CX-000477: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000477: Categorical Exclusion Determination Install a Photovoltaic Power Generation Array and Electric Car Charging Stations, Environmental Molecular...

  20. CX-003975: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003975: Categorical Exclusion Determination State Energy Program - American Recovery and Reinvestment Act Green Jobs Training Program -...

  1. CX-001915: Categorical Exclusion Determination | Department of...

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

    15: Categorical Exclusion Determination CX-001915: Categorical Exclusion Determination Green Vision Community Energy Program and Evergreen Municipal Energy Efficiency Program-...

  2. CX-009310: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009310: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Rock...

  3. CX-009311: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009311: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Champaign)...

  4. CX-005490: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005490: Categorical Exclusion Determination Thermal Analysis of Radioactive Materials by Thermagravimetric Analysis, Differential Scanning...

  5. CX-005708: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005708: Categorical Exclusion Determination Phase 3 - Seismic Fracture Characterization Methodologies for Enhanced Geothermal Systems CX(s)...

  6. CX-002132: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002132: Categorical Exclusion Determination Seismic Technology Adapted to Analyzing and Developing Geothermal Systems Below...

  7. anemia mga1 region: Topics by E-print Network

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

    and Plants Websites Summary: 652013 1 Regional GHG Emissions O tlook Greenhouse Gas and the Regional Power System Symposium Regional GHG Emissions - Outlook June 4, 2013...

  8. Determining solar abundances using helioseismology

    E-Print Network [OSTI]

    H. M. Antia; Sarbani Basu

    2006-02-28T23:59:59.000Z

    The recent downward revision of solar photospheric abundances of Oxygen and other heavy elements has resulted in serious discrepancies between solar models and solar structure as determined through helioseismology. In this work we investigate the possibility of determining the solar heavy-element abundance without reference to spectroscopy by using helioseismic data. Using the dimensionless sound-speed derivative in the solar convection zone, we find that the heavy element abundance, Z, of 0.0172 +/- 0.002, which is closer to the older, higher value of the abundances.

  9. The effects of He I 10830 on helium abundance determinations

    E-Print Network [OSTI]

    Aver, Erik; Skillman, Evan D

    2015-01-01T23:59:59.000Z

    Observations of helium and hydrogen emission lines from metal-poor extragalactic H II regions provide an independent method for determining the primordial helium abundance, Y_p. Traditionally, the emission lines employed are in the visible wavelength range, and the number of suitable lines is limited. Furthermore, when using these lines, large systematic uncertainties in helium abundance determinations arise due to the degeneracy of physical parameters, such as temperature and density. Recently, Izotov, Thuan, & Guseva (2014) have pioneered adding the He 10830 infrared emission line in helium abundance determinations. The strong electron density dependence of He 10830 makes it ideal for better constraining density, potentially breaking the degeneracy with temperature. We revisit our analysis of the dataset published by Izotov, Thuan, & Stasinska (2007) and incorporate the newly available observations of He 10830 by scaling them using the observed-to-theoretical Paschen-gamma ratio. The solutions are b...

  10. Determination of the CKM Element V(Ub)

    SciTech Connect (OSTI)

    Fortin, Dominique; /Victoria U.

    2007-04-06T23:59:59.000Z

    The precise determination of the CKM matrix element |V{sub ub}| is crucial in testing the Standard Model mechanism for CP violation. From a sample of 88 million B{bar B} pairs collected with the BABAR detector, charmless semileptonic B decays are selected using simultaneous requirements on the electron energy, E{sub e}, and the invariant mass squared of the electron-neutrino pair, q{sup 2}. The partial branching fraction, unfolded for detector effects, is determined in a region of the q{sup 2}-E{sub e} plane where the dominating semileptonic decays to charm mesons are highly suppressed. Theoretical calculations based on the Heavy Quark Expanion allows for a determination of |V{sub ub}| = (3.95 {+-} 0.27{sub -0.42}{sup +0.58} {+-} 0.25) x 10{sup -3}, where the errors represent experimental, heavy quark parameters and theoretical uncertainties, respectively.

  11. Predicting Functional Regions of Objects Chaitanya Desai

    E-Print Network [OSTI]

    Ramanan, Deva

    regions. We compare "blind" approaches that ig- nore image data, bottom-up approaches that reason about). We benchmark a wide variety of algo- rithms for producing such outputs, including blind baselines- fords little use to an observer. The central thesis of this work is that functional regions

  12. THE ECONOMIC SITUATION IN THE ECE REGION

    E-Print Network [OSTI]

    THE ECONOMIC SITUATION IN THE ECE REGION DIETER HESSE ECONOMIC ANALYSIS DIVISION UNECE #12;Major trends in the global economy so far in 2003 Global economic activity picked up ­ but uneven regional growth forces United States remains main engine of global economic growth Japan and Asian emerging

  13. Understanding Regional Economic Growth in India

    E-Print Network [OSTI]

    Understanding Regional Economic Growth in India Jeffrey D. Sachs, Nirupam Bajpai and Ananthi Ramiah Papers #12;Understanding Regional Economic Growth in India Jeffrey D. Sachs Center for International Development (CID) Harvard University Ananthi_Ramiah@harvard.edu This paper was prepared for the Asian Economic

  14. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study for this major GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year

  15. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study for this major.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 2 of 2 | Last

  16. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 2 of 2

  17. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog

  18. Cardiff School of City and Regional Planning

    E-Print Network [OSTI]

    Davies, Christopher

    Cardiff School of City and Regional Planning Undergraduate Degree Programmes www School of City and Regional Planning 11 BSc Geography (Human) 13 BSc Geography (Human) and Planning 15 to Find Us #12;Welcome 1www.cardiff.ac.uk/cplan Thank you for your interest in the Cardiff School of City

  19. MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN

    E-Print Network [OSTI]

    ................................................................................. 24 #12;v ASMFC Atlantic States Marine Fisheries Commission BOEM Bureau of Ocean Energy Management BMPMID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research #12;MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research

  20. Determining Cropland Cash Rental Arrangements

    E-Print Network [OSTI]

    Dhuyvetter, Kevin C.; Kastens, Terry L.; Outlaw, Joe

    1999-06-23T23:59:59.000Z

    Determining Cropland Cash Rental Arrangements Kevin C. Dhuyvetter, Terry L. Kastens and Joe L. Outlaw* Many crop producers rely heavily on rented land in their farming operations. Crop land is typically rented in one of three ways: (1) cash rent; (2...

  1. CX-011104: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coupled Thermo-Mechanical and Photo-Chemical Degradation Mechanisms that Determine the Reliability and Operational Lifetimes for Concentrated Photovoltaic Technologies CX(s) Applied: A9, B3.6 Date: 08/29/2013 Location(s): California Offices(s): Golden Field Office

  2. CX-100019: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Rare Earths in Geothermal Brines and Evaluation of Potential Extraction Techniques CX(s) Applied: A9, B3.1, B3.6 Date: 08/18/2014 Location(s): California Offices(s): Golden Field Office Technology Office: Geothermal Technologies Award Number: DE-EE0006750

  3. CX-011193: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Categorical Exclusion Determination for Indoor, Small- and Pilot-Scale Research and Development CX(s) Applied: A9, B1.7, B3.6, B3.10, B3.12, B3.15, B5.1, B5.15 Date: 08/05/2013 Location(s): California Offices(s): Berkeley Site Office

  4. CX-008738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Microstructure and Chemical State Changes in Ion-Irradiated Fuels and Structural Components with a High Kinetic Energy Electron Detector Illinois Institute of Technology CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  5. On the Form of the HII Region Luminosity Function

    E-Print Network [OSTI]

    M. S. Oey; C. J. Clarke

    1997-12-11T23:59:59.000Z

    Observed variations in the HII region luminosity function (HII LF) seen in spiral arm vs. interarm regions, and different galactic Hubble type, can be explained simply by evolutionary effects and maximum number of ionizing stars per cluster. We present Monte Carlo simulations of the HII LF, drawing the number of ionizing stars N_* from a power-law distribution of constant slope, and the stellar masses from a Salpeter IMF with an upper-mass limit of 100 M_sol. We investigate the evolution of the HII LF, as determined by stellar main-sequence lifetimes and ionizing luminosities, for a single burst case and continuous creation of the nebular population. Shallower HII LF slopes measured for the arms of spiral galaxies can be explained as a composite slope, expected for a zero-age burst population, whereas the interarm regions tend to be dominated by evolved rich clusters described by a single, steeper slope. Steeper slopes in earlier-type galaxies can be explained simply by a lower maximum N_* cutoff found for the parent OB associations. The form of the HII LF can reveal features of the most recent (~< 10 Myr) star formation history in nearby galaxies.

  6. Regional analysis of ground and above-ground climate

    SciTech Connect (OSTI)

    Not Available

    1981-12-01T23:59:59.000Z

    The regional suitability of underground construction as a climate control technique is discussed with reference to (1) a bioclimatic analysis of long-term weather data for 29 locations in the United States to determine appropriate above ground climate control techniques, (2) a data base of synthesized ground temperatures for the coterminous United States, and (3) monthly dew point ground temperature comparisons for identifying the relative likelihood of condensation from one region to another. It is concluded that the suitability of earth tempering as a practice and of specific earth-sheltered design stereotypes varies geographically; while the subsurface almost always provides a thermal advantage on its own terms when compared to above ground climatic data, it can, nonetheless, compromise the effectiveness of other, regionally more important climate control techniques. Also contained in the report are reviews of above and below ground climate mapping schemes related to human comfort and architectural design, and detailed description of a theoretical model of ground temperature, heat flow, and heat storage in the ground. Strategies of passive climate control are presented in a discussion of the building bioclimatic analysis procedure which has been applied in a computer analysis of 30 years of weather data for each of 29 locations in the United States.

  7. Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production and Regional Economic Growth

    E-Print Network [OSTI]

    Johnson, Eric E.

    Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production@nmsu.edu #12;Arrowhead Center: Coal Production and Regional Economic Growth i Disclaimer This report States Government or any agency thereof. #12;Arrowhead Center: Coal Production and Regional Economic

  8. The CO2 Content of Consumption Across US Regions: A Multi-Regional

    E-Print Network [OSTI]

    , when attributed on a consumption basis, California's per capita emissions are over 25 percent higherThe CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The CO2 Content of Consumption Across US Regions

  9. Control of Regional and Global Weather

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-09T23:59:59.000Z

    Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

  10. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect (OSTI)

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01T23:59:59.000Z

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in physics parameterizations in both GCMs and RCMs remain a priority for climate modeling community.

  11. Stellar Populations in Circumnuclear Star Forming Regions

    E-Print Network [OSTI]

    A. I. Diaz; M. Alvarez-Alvarez; M. Castellanos

    2002-05-07T23:59:59.000Z

    We present a study of the stellar populations and gas physical conditions in Circumnuclear Star Forming Regions (CNSFR) based on broad and narrow band photometry and spectrophotometric data, which have been analyzed with the use of evolutionary population synthesis and photoionization models. It is found that most CNSFR show composite stellar populations of slightly different ages. They seem to have the highest abundances in HII region-like objects, showing also N/O overabundances and S/O underabundances by a factor of about three. Also, CNSFR as a class, segregate from the disk HII region family, clustering around smaller $\\eta$' values, and thereforefore higher ionizing temperatures.

  12. Regional carbon dynamics in monsoon Asia and its implications for the global carbon cycle

    E-Print Network [OSTI]

    McGuire, A. David

    Regional carbon dynamics in monsoon Asia and its implications for the global carbon cycle Hanqin of Sciences, Beijing 100101, China c The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA 02543 Accepted 25 July 2002 Abstract Data on three major determinants of the carbon storage in terrestrial

  13. Observations and simulations of synoptic, regional, and local variations in atmospheric CO2

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Observations and simulations of synoptic, regional, and local variations in atmospheric CO2 Jih] Synoptic events may play an important role in determining the CO2 spatial distribution and temporal 2001, which had the most significant CO2 concentration variation in our case pool. The CO2

  14. Liquid metal feeding through dendritic region in Ni-Hard white iron

    SciTech Connect (OSTI)

    Oryshchyn, Danylo B.; Dogan, Omer N.

    2005-01-01T23:59:59.000Z

    Liquid permeability in the dendritic regions is one of the factors that determine porosity formation and macro segregation in castings. Permeability in the dendritic structure of Ni-Hard white iron was measured as a function of temperature. Effect of microstructural coarsening on the permeability was also investigated. Permeability increased with coarsening dendritic structure in Ni-Hard white iron.

  15. Coupling concept based on thermodynamic equilibrium using the mortar method: Stokes equation (free-flow region)

    E-Print Network [OSTI]

    Cirpka, Olaf Arie

    -flow region): Mass balance (porous medium, given by Darcy`s law): Transport equation, Lagrange multiplierCoupling concept based on thermodynamic equilibrium using the mortar method: Stokes equation (free-Laplace equation is used to determine which tubes are filled with water: Coupling concept for the one-phase micro

  16. Determining the Appropriate Asset Allocation

    E-Print Network [OSTI]

    Johnson, Jason; Polk, Wade

    2002-08-12T23:59:59.000Z

    more aggres- sive investments, assuming you aren?t averse to risk. As time goes by, your portfolio has less time to recover from market dips, so you might choose to shift gradually to a more conservative asset alloca- tion. E-160 8-02 DETERMINING... assets. Different asset classes have different levels of liquidity. Liquidity is less of a consideration for money invested to meet longer term goals. Diversification Diversification is a key compo- nent of asset allocation. A diversi- fied portfolio...

  17. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D. (Port Matilda, PA); Burgard, Anthony R. (State College, PA); Pharkya, Priti (State College, PA)

    2011-09-27T23:59:59.000Z

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  18. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costa D; Burgard, Anthony R; Pharkya, Priti

    2013-06-04T23:59:59.000Z

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  19. Determining boiler-water makeup

    SciTech Connect (OSTI)

    Beecher, J.; Herman, K. [Ashland Chemical Co., Boonton, NJ (United States). Drew Industrial Div.

    1995-10-01T23:59:59.000Z

    In boiler operations, it is desirable to determine blowdown--and, thus, the feedwater`s concentration cycles--because it enables operators to calculate the theoretical concentrations of iron, copper or dispersant in the system. These calculations are important for maintaining boiler cleanliness. In practice, however, it isn`t always feasible to determine blowdown. For example, if the steam, feedwater and blowdown flows are not measured in a system, or if the measurements are not accurate, the blowdown and feedwater concentration cycles cannot be accurately determined. Also, if demineralized makeup water with very-low silica concentrations is mixed with essentially silica-free condensate, the ratio of silica in the boiler water to the silica in the feedwater may not yield accurate values for the concentration cycle. This method for calculating concentration cycles is accurate to within 5%, when the accuracy of the parameters measured are within the following limits: steam flow (2%); phosphate, residual (5%); micro calcium (50%); micro iron (25%); and phosphate, feed (10%).

  20. Enforcement Policy Statement: Compliance Period for Regional...

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

    Compliance Period for Regional Standards Applicable to Central Air Conditioners April 24, 2014 On June 27, 2011, the U.S. Department of Energy (DOE) published in the Federal...

  1. Sierra Nevada Region - Western Area Power Administration

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

    The Sierra Nevada Region is one of five offices in the Western Area Power Administration. SN markets power in northern and central California, and portions of Nevada, to wholesale...

  2. Detection Of Amplified Or Deleted Chromosomal Regions

    DOE Patents [OSTI]

    Stokke, Trond (San Fransisco, CA), Pinkel, Daniel (Walnut Creek, CA), Gray, Joe W. (San Fransisco, CA)

    1997-05-27T23:59:59.000Z

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  3. Detection of amplified or deleted chromosomal regions

    DOE Patents [OSTI]

    Stokke, Trond (San Francisco, CA); Pinkel, Daniel (Walnut Creek, CA); Gray, Joe W. (San Francisco, CA)

    1995-01-01T23:59:59.000Z

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  4. Northwestern Indiana Regional Planning Commission (Indiana)

    Broader source: Energy.gov [DOE]

    NIRPC is a regional council of local governments serving the citizens of Lake, Porter, and LaPorte counties in Northwest Indiana. NIRPC provides a forum that enables the citizens of Northwest...

  5. INVESTIGATION OF BULK POWER MIDWEST REGION

    E-Print Network [OSTI]

    Laughlin, Robert B.

    INVESTIGATION OF BULK POWER MARKETS MIDWEST REGION November 1, 2000 The analyses and conclusions Energy Regulatory Commission, any individual Commissioner, or the Commission itself #12;3-i Contents Page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-3 A. Description of the Midwest

  6. Public School Transportation National and Regional

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Public School Transportation National and Regional Perspectives: An Update Presented to Education University #12;Table of Contents I. Current Transportation Funding Policies ..................................................................................................................................1 B. Transportation Funding Options Used by States

  7. Contact Upper Great Plains Regional Office

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

    Great Plains Regional Office Mailing Address: PO Box 35800 Billings, MT 59107-5800 406-255-2800 Toll Free: 1-800-358-3415 Fax: 406-255-2900 Organizational chart with phone numbers...

  8. 2011 Municipal Consortium Northeast Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northeast Region Workshop, held in Philadelphia, May 1920, 2011.

  9. 2011 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in San Jose, California, August 2526, 2011.

  10. 2010 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in Los Angeles on September 30, 2010.

  11. Sandia National Laboratories: Photovoltaic Regional Testing Center...

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

    Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The Vermont RTC...

  12. About Upper Great Plains Regional Office

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

    7,800 miles of Federal power lines, which are connected with other regional transmission systems and groups. To keep power moving through the system, we rely on our operations in...

  13. AWEA Wind Energy Regional Summit: Northeast

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

  14. Clusters of Extragalactic Ultra Compact HII Regions

    E-Print Network [OSTI]

    Kelsey E. Johnson; Chip Kobulnicky; Phil Massey; Peter Conti

    2001-07-10T23:59:59.000Z

    We report on the detection of optically thick free-free radio sources in the galaxies M33, NGC 253, and NGC 6946 using data in the literature. We interpret these sources as being young, embedded star birth regions, which are likely to be clusters of ultracompact HII regions. All 35 of the sources presented in this article have positive radio spectral indices alpha>0 suggesting an optically thick thermal bremsstrahlung emission arising in the HII region surrounding hot stars. Energy requirements indicate a range of a several to >500 O7V star equivalents powering each HII region. Assuming a Salpeter IMF, this corresponds to integrated stellar masses of 0.1--60,000 Msun. For roughly half of the sources in our sample, there is no obvious optical counterpart, giving further support for their deeply embedded nature. Their luminosities and radio spectral energy distributions are consistent with HII regions having electron densities from 1500 cm^-3 to 15000 cm^-3 and radii of 1 - 7 pc. We suggest that the less luminous of these sources are extragalactic ultracompact HII region complexes, those of intermediate luminosity are similar to W49 in the Galaxy, while the brightest will be counterparts to 30 Doradus. These objects constitute the lower mass range of extragalactic ``ultradense HII regions'' which we argue are the youngest stages of massive star cluster formation yet observed. This sample is beginning to fill in the continuum of objects between small associations of ultracompact HII regions and the massive extragalactic clusters that may evolve into globular clusters.

  15. Regional interpretation of Kansas aeromagnetic data

    SciTech Connect (OSTI)

    Yarger, H.L.

    1982-01-01T23:59:59.000Z

    The aeromagnetic mapping techniques used in a regional aeromagnetic survey of the state are documented and a qualitative regional interpretation of the magnetic basement is presented. Geothermal gradients measured and data from oil well records indicate that geothermal resources in Kansas are of a low-grade nature. However, considerable variation in the gradient is noted statewide within the upper 500 meters of the sedimentary section; this suggests the feasibility of using groundwater for space heating by means of heat pumps.

  16. Regions of influence for two iterative methods

    E-Print Network [OSTI]

    Leifeste, Arlee Ross

    1966-01-01T23:59:59.000Z

    Subject Mathematics REGIONS OF INFLUENCE FOR TWO ITERATIVE METHODS A Thesis By ARLEE ROSS LEIFESTE Approved as to style and content by: (Chairman of Committee) (Head of Department) (Member) (N b )' January 1966 ACKNOWLEDGMENT The author wishes... purpose of the present discussion is to initiate a study of the "regions of influence" of the various solutions of the simul- taneous equations involved. Let the simultaneous functions be denoted and let ( y , y , , y 1 be a point of n...

  17. Residential market transformation: National and regional indicators

    SciTech Connect (OSTI)

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01T23:59:59.000Z

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  18. SEARCHING FOR NEW HYPERCOMPACT H II REGIONS

    SciTech Connect (OSTI)

    Sanchez-Monge, Alvaro [Osservatorio Astrofisico di Arcetri, INAF, Largo E. Fermi 5, I-50125 Firenze (Italy); Pandian, Jagadheep D. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Kurtz, Stan, E-mail: asanchez@arcetri.astro.it [Centro de RadioastronomIa y Astrofisica, Universidad Nacional Autonoma de Mexico, Apdo. Postal 3-72, 58090 Morelia, Michoacan (Mexico)

    2011-09-20T23:59:59.000Z

    Hypercompact (HC) H II regions are, by nature, very young H II regions, associated with the earliest stages of massive star formation. They may represent the transition phase as an early B-type star grows into an O-type star. Unfortunately, so few HC H II regions are presently known that their general attributes and defining characteristics are based on small number statistics. A larger sample is needed for detailed studies and good statistics. Class II methanol masers are one of the best indicators of the early stages of massive star formation. Using the Arecibo Methanol Maser Galactic Plane Survey-the most sensitive blind survey for 6.7 GHz methanol masers to date-we selected 24 HC H II region candidates. We made Expanded Very Large Array continuum observations at 3.6 and 1.3 cm to search for HC H II regions associated with these masers. We identified six potential HC H II regions in our sample based on the presence of optically thick free-free emission. Overall, we find that 30% of the methanol masers have an associated centimeter radio continuum source (separation less than 0.1 pc), which is in general agreement with previous studies.

  19. CX-004196: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  20. CX-000331: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  1. CX-000301: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000301: Categorical Exclusion Determination Maryland Revision 1 - Grants to Promote Mid-size Renewables at Private & Government Buildings CX(s)...

  2. CX-003518: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  3. CX-000815: Categorical Exclusion Determination | Department of...

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

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  4. CX-005151: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  5. CX-005156: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005156: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Lawrence Livermore National Laboratory CX(s)...

  6. CX-005154: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  7. CX-005159: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  8. CX-000903: Categorical Exclusion Determination | Department of...

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

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  9. CX-012015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  10. CX-000658: Categorical Exclusion Determination | Department of...

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

    Determination CX-000658: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-009 CX(s)...

  11. CX-002753: Categorical Exclusion Determination | Department of...

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

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  12. CX-003226: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003226: Categorical Exclusion Determination Parris Island Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-032 CX(s)...

  13. CX-000940: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000940: Categorical Exclusion Determination Distributed Generation Wind Power at Navy Sites - Second Meteorological tower at Naval Station Newport,...

  14. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  15. CX-002964: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  16. CX-005201: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  17. CX-011085: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011085: Categorical Exclusion Determination Alaska Wind Energy Research Project (formally "St. Paul Wind Technology Development Project, Phase 2")...

  18. CX-011295: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  19. CX-009330: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009330: Categorical Exclusion Determination Gas Hydrate Dynamics on the Alaskan Beaufort Continental Slope: Modeling and Field Characterization CX(s)...

  20. CX-009328: Categorical Exclusion Determination | Department of...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  16. CX-012252: Categorical Exclusion Determination | Department of...

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

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

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

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

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

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