National Library of Energy BETA

Sample records for area probability sample

  1. POF-Darts: Geometric adaptive sampling for probability of failure

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

    Ebeida, Mohamed S.; Mitchell, Scott A.; Swiler, Laura P.; Romero, Vicente J.; Rushdi, Ahmad A.

    2016-06-18

    We introduce a novel technique, POF-Darts, to estimate the Probability Of Failure based on random disk-packing in the uncertain parameter space. POF-Darts uses hyperplane sampling to explore the unexplored part of the uncertain space. We use the function evaluation at a sample point to determine whether it belongs to failure or non-failure regions, and surround it with a protection sphere region to avoid clustering. We decompose the domain into Voronoi cells around the function evaluations as seeds and choose the radius of the protection sphere depending on the local Lipschitz continuity. As sampling proceeds, regions uncovered with spheres will shrink,more » improving the estimation accuracy. After exhausting the function evaluation budget, we build a surrogate model using the function evaluations associated with the sample points and estimate the probability of failure by exhaustive sampling of that surrogate. In comparison to other similar methods, our algorithm has the advantages of decoupling the sampling step from the surrogate construction one, the ability to reach target POF values with fewer samples, and the capability of estimating the number and locations of disconnected failure regions, not just the POF value. Furthermore, we present various examples to demonstrate the efficiency of our novel approach.« less

  2. 200 area TEDF sample schedule

    SciTech Connect (OSTI)

    Brown, M.J.

    1995-03-22

    This document summarizes the sampling criteria associated with the 200 Area Treatment Effluent Facility (TEDF) that are needed to comply with the requirements of the Washington State Discharge Permit No. WA ST 4502 and good engineering practices at the generator streams that feed into TEDF. In addition, this document Identifies the responsible parties for both sampling and data transference.

  3. Water Sampling At International Geothermal Area, Philippines...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At International Geothermal Area, Philippines (Wood, 2002) Exploration...

  4. Gas Sampling At Wister Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Wister Area (DOE GTP) (Redirected from Water-Gas Samples At Wister Area (DOE GTP)) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration...

  5. Gas Sampling At Wister Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Wister Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Wister Area (DOE GTP) Exploration Activity...

  6. Surface Gas Sampling At Lightning Dock Area (Norman & Moore,...

    Open Energy Info (EERE)

    Surface Gas Sampling At Lightning Dock Area (Norman & Moore, 2004) (Redirected from Water-Gas Samples At Lightning Dock Area (Norman & Moore, 2004)) Jump to: navigation, search...

  7. Gas Sampling At Colrado Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Colrado Area (DOE GTP) (Redirected from Water-Gas Samples At Colrado Area (DOE GTP)) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration...

  8. Gas Sampling At Colrado Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Colrado Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Colrado Area (DOE GTP) Exploration...

  9. Rock Sampling At Jemez Mountain Area (Eichelberger & Koch, 1979...

    Open Energy Info (EERE)

    Rock Sampling At Jemez Mountain Area (Eichelberger & Koch, 1979) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Rock Sampling At Jemez Mountain...

  10. Surface Gas Sampling At Lightning Dock Area (Norman, Et Al.,...

    Open Energy Info (EERE)

    Surface Gas Sampling At Lightning Dock Area (Norman, Et Al., 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At...

  11. Soil Sampling At Waunita Hot Springs Geothermal Area (Ringrose...

    Open Energy Info (EERE)

    approximately 1000 ft to the NE of the sample area to account for background soil mercury concentrations. Sample lines were designed to cross known nearby structural features...

  12. Surface Gas Sampling At Jemez Springs Area (Goff & Janik, 2002...

    Open Energy Info (EERE)

    Jemez Springs Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At Jemez Springs Area (Goff & Janik,...

  13. Surface Gas Sampling At Valles Caldera - Redondo Area (Goff ...

    Open Energy Info (EERE)

    Redondo Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At Valles Caldera - Redondo Area (Goff &...

  14. Soil Sampling At North Brawley Geothermal Area (Alan & G., 1977...

    Open Energy Info (EERE)

    North Brawley Geothermal Area (Alan & G., 1977) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling At North Brawley Geothermal Area...

  15. Soil Sampling At Mccoy Geothermal Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Mccoy Geothermal Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling At Mccoy Geothermal Area (DOE GTP) Exploration...

  16. Water Sampling At Kauai Area (Thomas, 1986) | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Kauai Area (Thomas, 1986) Exploration Activity Details Location Kauai Area...

  17. Water Sampling At Heber Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Heber Area (Wood, 2002) Exploration Activity Details Location Heber Area...

  18. Gas Flux Sampling At Steamboat Springs Area (Lechler And Coolbaugh...

    Open Energy Info (EERE)

    Steamboat Springs Area (Lechler And Coolbaugh, 2007) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Steamboat Springs Area...

  19. Gas Flux Sampling At Desert Peak Area (Lechler And Coolbaugh...

    Open Energy Info (EERE)

    Desert Peak Area (Lechler And Coolbaugh, 2007) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Desert Peak Area (Lechler And...

  20. Gas Sampling At Maui Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Maui Area (DOE GTP) Exploration Activity Details Location Maui Area...

  1. Soil Sampling At Dixie Valley Geothermal Area (Nash & D., 1997...

    Open Energy Info (EERE)

    Dixie Valley Geothermal Area (Nash & D., 1997) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling At Dixie Valley Geothermal Area...

  2. Surface Gas Sampling At Lightning Dock Area (Norman, Et Al.,...

    Open Energy Info (EERE)

    Surface Gas Sampling At Lightning Dock Area (Norman, Et Al., 2002) (Redirected from Water-Gas Samples At Lightning Dock Area (Norman, Et Al., 2002)) Jump to: navigation, search...

  3. Water Sampling At Lightning Dock Geothermal Area (Swanberg, 1976...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Lightning Dock Geothermal Area (Swanberg, 1976) Exploration Activity...

  4. Water Sampling At International Geothermal Area, New Zealand...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At International Geothermal Area, New Zealand (Wood, 2002) Exploration...

  5. Water Sampling At Lightning Dock Geothermal Area (Witcher, 2006...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Lightning Dock Geothermal Area (Witcher, 2006) Exploration Activity...

  6. Water Sampling At Mokapu Penninsula Area (Thomas, 1986) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mokapu Penninsula Area (Thomas, 1986) Exploration Activity Details...

  7. Water Sampling At Blackfoot Reservoir Area (Hutsinpiller & Parry...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Blackfoot Reservoir Area (Hutsinpiller & Parry, 1985) Exploration Activity...

  8. Surface Gas Sampling At Valles Caldera - Sulphur Springs Area...

    Open Energy Info (EERE)

    Sulphur Springs Area (Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At Valles Caldera - Sulphur...

  9. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff...

    Open Energy Info (EERE)

    Goff & Janik, 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff & Janik, 2002)...

  10. Rock Sampling At Long Valley Caldera Geothermal Area (Goff, Et...

    Open Energy Info (EERE)

    Long Valley Caldera Geothermal Area (Goff, Et Al., 1991) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Rock Sampling At Long Valley Caldera...

  11. Surface Gas Sampling At International Geothermal Area Mexico...

    Open Energy Info (EERE)

    International Geothermal Area Mexico (Norman, Et Al., 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At International...

  12. Groundwater Sampling At Raft River Geothermal Area (1974-1982...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Groundwater Sampling At Raft River Geothermal Area (1974-1982) Exploration Activity Details Location Raft River...

  13. Water Sampling At Dixie Valley Geothermal Area (Wood, 2002) ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Dixie Valley Geothermal Area (Wood, 2002) Exploration Activity Details...

  14. Water Sampling At Valley Of Ten Thousand Smokes Region Area ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Valley Of Ten Thousand Smokes Region Area (Keith, Et Al., 1992)...

  15. Water Sampling At Little Valley Area (Wood, 2002) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Little Valley Area (Wood, 2002) Exploration Activity Details Location...

  16. Water Sampling At Kilauea East Rift Geothermal Area (Thomas,...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Kilauea East Rift Geothermal Area (Thomas, 1986) Exploration Activity...

  17. Water Sampling At Teels Marsh Area (Coolbaugh, Et Al., 2006)...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Teels Marsh Area (Coolbaugh, Et Al., 2006) Exploration Activity Details...

  18. Water Sampling At Hawthorne Area (Lazaro, Et Al., 2010) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Hawthorne Area (Lazaro, Et Al., 2010) Exploration Activity Details...

  19. Water Sampling At Hualalai Northwest Rift Area (Thomas, 1986...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Hualalai Northwest Rift Area (Thomas, 1986) Exploration Activity Details...

  20. Surface Water Sampling At Raft River Geothermal Area (1973) ...

    Open Energy Info (EERE)

    to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Water Sampling At Raft River Geothermal Area (1973) Exploration Activity Details Location...

  1. Water Sampling At Alvord Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Alvord Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  2. Water Sampling At Beowawe Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Beowawe Hot Springs Area (Wood, 2002) Exploration Activity Details...

  3. Water Sampling At Salton Sea Area (Wood, 2002) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Salton Sea Area (Wood, 2002) Exploration Activity Details Location Salton...

  4. Water Sampling At Rhodes Marsh Area (Coolbaugh, Et Al., 2006...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Rhodes Marsh Area (Coolbaugh, Et Al., 2006) Exploration Activity Details...

  5. Water Sampling At Waunita Hot Springs Geothermal Area (Carpenter...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Waunita Hot Springs Geothermal Area (Carpenter, 1981) Exploration Activity...

  6. Water Sampling At Mccredie Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mccredie Hot Springs Area (Wood, 2002) Exploration Activity Details...

  7. Water Sampling At Umpqua Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Umpqua Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  8. Water Sampling At Long Valley Caldera Geothermal Area (Sorey...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Long Valley Caldera Geothermal Area (Sorey, Et Al., 1991) Exploration...

  9. Water Sampling At Salt Wells Area (Shevenell & Garside, 2003...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Salt Wells Area (Shevenell & Garside, 2003) Exploration Activity Details...

  10. Surface Water Sampling At Chena Geothermal Area (Holdmann, Et...

    Open Energy Info (EERE)

    to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Water Sampling At Chena Geothermal Area (Holdmann, Et Al., 2006) Exploration Activity...

  11. Water Sampling At Buffalo Valley Hot Springs Area (Laney, 2005...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Buffalo Valley Hot Springs Area (Laney, 2005) Exploration Activity Details...

  12. Water Sampling At Valles Caldera - Redondo Area (Rao, Et Al....

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Valles Caldera - Redondo Area (Rao, Et Al., 1996) Exploration Activity...

  13. Water Sampling At Mt Princeton Hot Springs Geothermal Area (Olson...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mt Princeton Hot Springs Geothermal Area (Olson & Dellechaie, 1976)...

  14. Water-Gas Samples At Valles Caldera - Redondo Geothermal Area...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas Samples At Valles Caldera - Redondo Geothermal Area (Janik & Goff, 2002)...

  15. Water Sampling At Dixie Valley Geothermal Area (Kennedy & Soest...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Dixie Valley Geothermal Area (Kennedy & Soest, 2006) Exploration Activity...

  16. Water Sampling At Long Valley Caldera Geothermal Area (Evans...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Long Valley Caldera Geothermal Area (Evans, Et Al., 2002) Exploration...

  17. Water Sampling At Roosevelt Hot Springs Geothermal Area (Faulder...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Roosevelt Hot Springs Geothermal Area (Faulder, 1991) Exploration Activity...

  18. Water Sampling At Mt Ranier Area (Frank, 1995) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mt Ranier Area (Frank, 1995) Exploration Activity Details Location Mt...

  19. Water Sampling At Valles Caldera - Redondo Geothermal Area (Goff...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Valles Caldera - Redondo Geothermal Area (Goff, Et Al., 1982) Exploration...

  20. Water Sampling At Jemez Springs Geothermal Area (Trainer, 1974...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Jemez Springs Geothermal Area (Trainer, 1974) Exploration Activity Details...

  1. Water Sampling At Zim's Hot Springs Geothermal Area (Wood, 2002...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Zim's Hot Springs Geothermal Area (Wood, 2002) Exploration Activity...

  2. Water Sampling At Breitenbush Hot Springs Area (Wood, 2002) ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Breitenbush Hot Springs Area (Wood, 2002) Exploration Activity Details...

  3. Water Sampling At Salt Wells Area (Coolbaugh, Et Al., 2006) ...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Salt Wells Area (Coolbaugh, Et Al., 2006) Exploration Activity Details...

  4. Water Sampling At Valles Caldera - Sulphur Springs Area (Rao...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Valles Caldera - Sulphur Springs Area (Rao, Et Al., 1996) Exploration...

  5. Water Sampling At Lualualei Valley Area (Thomas, 1986) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Lualualei Valley Area (Thomas, 1986) Exploration Activity Details Location...

  6. Water Sampling At Crane Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Crane Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  7. Water Sampling At Mt St Helens Area (Shevenell & Goff, 1995)...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mt St Helens Area (Shevenell & Goff, 1995) Exploration Activity Details...

  8. Water Sampling At Kilauea East Rift Geothermal Area (FURUMOTO...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Kilauea East Rift Geothermal Area (FURUMOTO, 1976) Exploration Activity...

  9. Water Sampling At Mickey Hot Springs Area (Wood, 2002) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Mickey Hot Springs Area (Wood, 2002) Exploration Activity Details Location...

  10. Water Sampling At Long Valley Caldera Geothermal Area (Goff,...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Long Valley Caldera Geothermal Area (Goff, Et Al., 1991) Exploration...

  11. Alaska Sample Special Area Permit | Open Energy Information

    Open Energy Info (EERE)

    to library General: Alaska Sample Special Area Permit Author Alaska Department of Fish and Game Published Division of Habitat, 122012 DOI Not Provided Check for DOI...

  12. Gas Flux Sampling At Lahaina-Kaanapali Area (Thomas, 1986) |...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Lahaina-Kaanapali Area (Thomas, 1986) Exploration Activity Details...

  13. Gas Flux Sampling At Lualualei Valley Area (Thomas, 1986) | Open...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Lualualei Valley Area (Thomas, 1986) Exploration Activity Details...

  14. Gas Flux Sampling At Kilauea East Rift Geothermal Area (Thomas...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Kilauea East Rift Geothermal Area (Thomas, 1986) Exploration Activity...

  15. Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby...

    Open Energy Info (EERE)

    to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Grigsby, Et Al., 1983) Exploration...

  16. Gas Flux Sampling At Lightning Dock Area (Cunniff & Bowers, 2005...

    Open Energy Info (EERE)

    2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Lightning Dock Area (Cunniff & Bowers, 2005) Exploration Activity...

  17. Gas Flux Sampling At Mokapu Penninsula Area (Thomas, 1986) |...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Mokapu Penninsula Area (Thomas, 1986) Exploration Activity Details...

  18. Soil Gas Sampling At Chena Geothermal Area (Kolker, 2008) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Gas Sampling At Chena Geothermal Area (Kolker, 2008) Exploration Activity Details Location...

  19. Gas Flux Sampling At Hualalai Northwest Rift Area (Thomas, 1986...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Hualalai Northwest Rift Area (Thomas, 1986) Exploration Activity...

  20. Gas Flux Sampling At Kawaihae Area (Thomas, 1986) | Open Energy...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Kawaihae Area (Thomas, 1986) Exploration Activity Details Location...

  1. Rock Sampling At San Francisco Volcanic Field Area (Warpinski...

    Open Energy Info (EERE)

    Francisco Volcanic Field Area (Warpinski, Et Al., 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Rock Sampling At San Francisco Volcanic...

  2. Surface Gas Sampling At Lassen Volcanic National Park Area (Janik...

    Open Energy Info (EERE)

    Lassen Volcanic National Park Area (Janik & Mclaren, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Surface Gas Sampling At Lassen...

  3. Gas Flux Sampling At Haleakala Volcano Area (Thomas, 1986) |...

    Open Energy Info (EERE)

    deviations from expected ratios. One well was also found to have an abnormally high sulfate concentration. All three wells are located in the same general area and are sampling...

  4. Calculating Confidence, Uncertainty, and Numbers of Samples When Using Statistical Sampling Approaches to Characterize and Clear Contaminated Areas

    SciTech Connect (OSTI)

    Piepel, Gregory F.; Matzke, Brett D.; Sego, Landon H.; Amidan, Brett G.

    2013-04-27

    This report discusses the methodology, formulas, and inputs needed to make characterization and clearance decisions for Bacillus anthracis-contaminated and uncontaminated (or decontaminated) areas using a statistical sampling approach. Specifically, the report includes the methods and formulas for calculating the • number of samples required to achieve a specified confidence in characterization and clearance decisions • confidence in making characterization and clearance decisions for a specified number of samples for two common statistically based environmental sampling approaches. In particular, the report addresses an issue raised by the Government Accountability Office by providing methods and formulas to calculate the confidence that a decision area is uncontaminated (or successfully decontaminated) if all samples collected according to a statistical sampling approach have negative results. Key to addressing this topic is the probability that an individual sample result is a false negative, which is commonly referred to as the false negative rate (FNR). The two statistical sampling approaches currently discussed in this report are 1) hotspot sampling to detect small isolated contaminated locations during the characterization phase, and 2) combined judgment and random (CJR) sampling during the clearance phase. Typically if contamination is widely distributed in a decision area, it will be detectable via judgment sampling during the characterization phrase. Hotspot sampling is appropriate for characterization situations where contamination is not widely distributed and may not be detected by judgment sampling. CJR sampling is appropriate during the clearance phase when it is desired to augment judgment samples with statistical (random) samples. The hotspot and CJR statistical sampling approaches are discussed in the report for four situations: 1. qualitative data (detect and non-detect) when the FNR = 0 or when using statistical sampling methods that account

  5. Gas Sampling At Gabbs Valley Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Gabbs Valley Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Gabbs Valley Area (DOE GTP)...

  6. Gas Sampling At Gabbs Valley Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Gabbs Valley Area (DOE GTP) (Redirected from Water-Gas Samples At Gabbs Valley Area (DOE GTP)) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home...

  7. Gas Sampling At Glass Buttes Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Glass Buttes Area (DOE GTP) (Redirected from Water-Gas Samples At Glass Buttes Area (DOE GTP)) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home...

  8. Gas Sampling At Glass Buttes Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    Gas Sampling At Glass Buttes Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Glass Buttes Area (DOE GTP)...

  9. Soil Sampling At Chena Geothermal Area (Kolker, 2008) | Open...

    Open Energy Info (EERE)

    studies through the University of Alaska Fairbanks' Geophysical Institute. Notes Mercury soil sampling correlated with the measured thermal anomaly (Biggar 1973) in the...

  10. Groundwater Sampling At Kilauea East Rift Geothermal Area (Cox...

    Open Energy Info (EERE)

    groundwater can be a useful geochemical indicator for geothermal exploration when other water chemistry techniques are ambiguous. This research was useful for locating some areas...

  11. Soil Sampling At Kilauea East Rift Geothermal Area (Cox, 1981...

    Open Energy Info (EERE)

    in the area. Mercury concentrations are dependent on factors such as soil development, ph., ground gasses, and organic content, so linking the measurements with geothermal...

  12. Soil Gas Sampling At Kilauea East Rift Geothermal Area (Cox,...

    Open Energy Info (EERE)

    the ground in the Lower East Rift Zone were measured using alpha particle sensitive cellulose nitrate films. The survey was successful in defining an area of geothermal...

  13. Rock Sampling At Neal Hot Springs Geothermal Area (Colwell, Et...

    Open Energy Info (EERE)

    of Neal Hot Springs and the surrounding areas. This study was conducted by a geophysics field camp from the Colorado School of Mines. Notes Geochemical FingerprintingXRF...

  14. Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff &...

    Open Energy Info (EERE)

    Water-Gas Samples At Fenton Hill Hdr Geothermal Area (Goff & Janik, 2002) Redirect page Jump to: navigation, search REDIRECT Surface Gas Sampling At Fenton Hill Hdr Geothermal...

  15. Water-Gas Samples At Long Valley Caldera Area (Goff & Janik,...

    Open Energy Info (EERE)

    Area (Goff & Janik, 2002) Redirect page Jump to: navigation, search REDIRECT Surface Gas Sampling At Long Valley Caldera Area (Goff & Janik, 2002) Retrieved from "http:...

  16. Gas Flux Sampling At Brady Hot Springs Area (Lechler And Coolbaugh...

    Open Energy Info (EERE)

    Brady Hot Springs Area (Lechler And Coolbaugh, 2007) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Brady Hot Springs Area...

  17. Gas Flux Sampling At Maui Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Maui Area (DOE GTP) Exploration Activity Details Location Maui Area...

  18. Soil Sampling At Salt Wells Area (Henkle, Et Al., 2005) | Open...

    Open Energy Info (EERE)

    Salt Wells Area (Henkle, Et Al., 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Soil Sampling At Salt Wells Area (Henkle, Et Al., 2005)...

  19. Rock Sampling At Seven Mile Hole Area (Larson, Et Al., 2009)...

    Open Energy Info (EERE)

    Seven Mile Hole Area (Larson, Et Al., 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Rock Sampling At Seven Mile Hole Area (Larson, Et...

  20. Rock Sampling At San Juan Volcanic Field Area (Larson & Jr, 1986...

    Open Energy Info (EERE)

    Juan Volcanic Field Area (Larson & Jr, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Rock Sampling At San Juan Volcanic Field Area...

  1. Soil Sampling At Long Valley Caldera Geothermal Area (Klusman...

    Open Energy Info (EERE)

    importance of aspect. The samples were analyzed for their Hg contents, as well as for pH, hydrous Fe and Mn, and organic carbon, all of which are known to have influence on Hg...

  2. Rock Sampling At Roosevelt Hot Springs Geothermal Area (Ward...

    Open Energy Info (EERE)

    Area. References S. H. Ward, W. T. Parry, W. P. Nash, W. R. Sill, K. L. Cook, R. B. Smith, D. S. Chapman, F. H. Brown, J. A. Whelan, J. R. Bowman (1978) A Summary of the...

  3. 200 Area TEDF effluent sampling and analysis plan

    SciTech Connect (OSTI)

    Alaconis, W.C.; Ballantyne, N.A.; Boom, R.J. [and others

    1995-06-01

    This sampling analysis sets forth the effluent sampling requirements, analytical methods, statistical analyses, and reporting requirements to satisfy the State Waste Discharge Permit No. ST4502 for the Treated Effluent Disposal Facility. These requirements are listed below: Determine the variability in the effluent of all constituents for which enforcement limits, early warning values and monitoring requirements; demonstrate compliance with the permit; and verify that BAT/AKART (Best Available Technology/All know and Reasonable Treatment) source, treatment, and technology controls are being met.

  4. 400 area secondary cooling water sampling and analysis plan

    SciTech Connect (OSTI)

    Penn, L.L.

    1996-10-29

    This is a total rewrite of the Sampling and Analysis Plan in response to, and to ensure compliance with, the State Waste Discharge Permit ST 4501 issued on July 31, 1996. This revision describes changes in facility status and implements requirements of the permit.

  5. 300 AREA PACIFIC NORTHWEST NATIONAL LABORATORY FACILITY RADIONUCLIDE EMISSION POINTS AND SAMPLING SYSTEMS

    SciTech Connect (OSTI)

    Barfuss, Brad C.; Barnett, J. M.; Harbinson, L Jill

    2006-08-28

    Radionuclide emission points for 300 Area and Battelle Private facilities are presented herein. The sampling systems and associated emission specifics are detailed.

  6. Rock Sampling At Mt Ranier Area (Frank, 1995) | Open Energy Informatio...

    Open Energy Info (EERE)

    Exploration Activity Details Location Mt Ranier Area Exploration Technique Rock Sampling Activity Date Usefulness not indicated DOE-funding Unknown Notes This paper relies...

  7. Water Sampling At Fenton Hill HDR Geothermal Area (Rao, Et Al...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Fenton Hill HDR Geothermal Area (Rao, Et Al., 1996) Exploration Activity...

  8. Water Sampling At Jemez Springs Area (Rao, Et Al., 1996) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Jemez Springs Area (Rao, Et Al., 1996) Exploration Activity Details...

  9. Water Sampling At Coso Geothermal Area (1977-1978) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Coso Geothermal Area (1977-1978) Exploration Activity Details Location...

  10. Water Sampling At Silver Peak Area (Henkle, Et Al., 2005) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Silver Peak Area (Henkle, Et Al., 2005) Exploration Activity Details...

  11. Water-Gas Samples At Long Valley Caldera Geothermal Area (Farrar...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas Samples At Long Valley Caldera Geothermal Area (Farrar, Et Al., 2003) Exploration...

  12. Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water-Gas Sampling At Fenton Hill HDR Geothermal Area (Janik & Goff, 2002) Exploration...

  13. Water Sampling At Salt Wells Area (Henkle, Et Al., 2005) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Salt Wells Area (Henkle, Et Al., 2005) Exploration Activity Details...

  14. Water Sampling At Reese River Area (Henkle, Et Al., 2005) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Reese River Area (Henkle, Et Al., 2005) Exploration Activity Details...

  15. Water Sampling At Long Valley Caldera Geothermal Area (McKenzie...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Long Valley Caldera Geothermal Area (McKenzie & Truesdell, 1977)...

  16. Water Sampling At Jemez Springs Area (Goff, Et Al., 1981) | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Jemez Springs Area (Goff, Et Al., 1981) Exploration Activity Details...

  17. Water Sampling At Hot Lake Area (Wood, 2002) | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Hot Lake Area (Wood, 2002) Exploration Activity Details Location Hot Lake...

  18. Water Sampling At Belknap-Foley-Bigelow Hot Springs Area (Wood...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Belknap-Foley-Bigelow Hot Springs Area (Wood, 2002) Exploration Activity...

  19. Water Sampling At Twenty-Nine Palms Area (Page, Et Al., 2010...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Twenty-Nine Palms Area (Page, Et Al., 2010) Exploration Activity Details...

  20. Gas Sampling At Rye Patch Area (DOE GTP, 2011) | Open Energy...

    Open Energy Info (EERE)

    2011) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Rye Patch Area (DOE GTP, 2011) Exploration Activity Details Location Rye...

  1. Gas Flux Sampling At Olowalu-Ukumehame Canyon Area (Thomas, 1986...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Olowalu-Ukumehame Canyon Area (Thomas, 1986) Exploration Activity...

  2. Gas Flux Sampling At Mccoy Geothermal Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Mccoy Geothermal Area (DOE GTP) Exploration Activity Details Location...

  3. Gas Sampling At Black Warrior Area (DOE GTP) | Open Energy Information

    Open Energy Info (EERE)

    GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Sampling At Black Warrior Area (DOE GTP) Exploration Activity Details Location Black...

  4. Gas Flux Sampling At Black Warrior Area (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Black Warrior Area (DOE GTP) Exploration Activity Details Location...

  5. Gas Flux Sampling At Mauna Loa Northeast Rift Area (Thomas, 1986...

    Open Energy Info (EERE)

    1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Gas Flux Sampling At Mauna Loa Northeast Rift Area (Thomas, 1986) Exploration Activity...

  6. June 2012 Groundwater Sampling at the Central Nevada Test Area (Data Validation Package)

    SciTech Connect (OSTI)

    2013-03-01

    The U.S. Department of Energy Office of Legacy Management conducted annual sampling at the Central Nevada Test Area (CNTA) on June 26-27, 2012, in accordance with the 2004 Correction Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area (CNTA)-Subsurface and the addendum to the "Corrective Action Decision Document/Corrective Action Plan" completed in 2008. Sampling and analysis were conducted as specified in the Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites (LMS/PLN/S04351), continually updated).

  7. May 2011 Groundwater Sampling at the Central Nevada Test Area (Data Validation Package)

    SciTech Connect (OSTI)

    2011-11-01

    The U.S. Department of Energy Office of Legacy Management conducted annual sampling at the Central Nevada Test Area (CNTA) on May 10-11, 2011, in accordance with the 2004 Correction Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area (CNTA)-Subsurface and the addendum to the "Corrective Action Decision Document/Corrective Action Plan" completed in 2008. Sampling and analysis were conducted as specified in the Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites (LMS/PLN/S04351), continually updated).

  8. May 2010 Groundwater Sampling at the Central Nevada Test Area (Data Validation Package)

    SciTech Connect (OSTI)

    None

    2011-02-01

    The U.S. Department of Energy Office of Legacy Management conducted annual sampling at the Central Nevada Test Area (CNTA) on June 7-9, 2010, in accordance with the 2004 Correction Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area (CNTA)-Subsurface. Sampling and analysis were conducted as specified in the Sampling and Analysis Plan for U.S. Department of Energy Office of Legacy Management Sites (LMS/PLN/S04351), continually updated).

  9. Measurement of radon concentration in some water samples belonging to some adjoining areas of Pathankot, Punjab

    SciTech Connect (OSTI)

    Kumar, Ajay Sharma, Sumit

    2015-08-28

    The study of radon concentration was measured in some areas of Pathankot district, Punjab, India, from the health hazard point of view due to radon. The exposure to radon through drinking water is largely by inhalation and ingestion. RAD 7, an electronic solid state silicon detector (Durridgeco., USA) was used to measure the radon concentration in drinking water samples of the study area. The recorded values of radon concentration in these water samples are below the recommended limit by UNSCEAR and European commission. The recommended limit of radon concentration in water samples is 4 to 40 Bq/l given by UNSCEAR [1] and European commission has recommended the safe limit for radon concentration in water sample is 100 Bq/l [2].

  10. Geochemistry of Background Sediment Samples at Technical Area 39, Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Eric V. McDonald; Katherine Campbell; Patrick A. Longmire; Steven L. Reneau

    1998-11-01

    This report presents results of chemical analyses of 24 analytes in 16 background sediment samples collected from Ancho Canyon and Indio Canyon at Technical Area (TA) 39, Los Alamos National Laboratory. Preliminary upper tolerance limits (UTLS) for sediments are calculated from this data set but, because of the small sample size, these UTLs exceed the maximum values in the data set by up to 50'ZO and will require revision as more background sediment data are obtained.

  11. Geotechnical Analysis of Five Shelby Tube Samples from H-Area Retention Basin

    SciTech Connect (OSTI)

    Langton, C.A.

    1999-06-02

    Geotechnical and geochemical analyses were performed on five Shelby tube samples collected in the H-Area Retention Basin (HRB) during July and August of 1998. The samples were collected as part of the HRB characterization study. The test results, which are documented in this report, will be used to support the HRB contaminant fate and transport modeling/analysis and to evaluate remedial options. The results will also be used as a base line for future treatability studies.

  12. 200 Area Treated Effluent Disposal Facility (TEDF) Effluent Sampling and Analysis Plan

    SciTech Connect (OSTI)

    BROWN, M.J.

    2000-05-18

    This Sampling and Analysis Plan (SAP) has been developed to comply with effluent monitoring requirements at the 200 Area Treated Effluent Disposal Facility (TEDF), as stated in Washington State Waste Discharge Permit No. ST 4502 (Ecology 2000). This permit, issued by the Washington State Department of Ecology (Ecology) under the authority of Chapter 90.48 Revised Code of Washington (RCW) and Washington Administrative Code (WAC) Chapter 173-216, is an April 2000 renewal of the original permit issued on April 1995.

  13. Gas Flux Sampling At Akutan Fumaroles Area (Kolker, Et Al., 2010...

    Open Energy Info (EERE)

    loss, probably northwest of the junction, or erosion has carried these elements in sediment from the higher elevation manifestations. The presence of such volatiles in sediments...

  14. Inter-Areas Component of the River Corridor Baseline Risk Assessment Sampling Summary

    SciTech Connect (OSTI)

    J. M. Queen

    2008-02-19

    This report describes the sampling locations, identifies samples collected, and describes any modifications and additions made to the DOE/RL-2005-42.

  15. WIPP Sampling and Analysis Plan for Solid Waste Management Units and Areas of Concern.

    SciTech Connect (OSTI)

    Washington TRU Solutions LLC

    2000-05-23

    This Sampling and Analysis Plan (SAP) has been prepared to fulfill requirements of Module VII, Section VII.M.2 and Table VII.1, requirement 4 of the Waste Isolation Pilot Plant (WIPP) Hazardous Waste Permit, NM4890139088-TSDF (the Permit); (NMED [New Mexico Environment Department], 1999a). This SAP describes the approach for investigation of the Solid Waste Management Units (SWMU) and Areas of Concern (AOC) specified in the Permit. This SAP addresses the current Permit requirements for a RCRA Facility Investigation(RFI) investigation of SWMUs and AOCs. It uses the results of previous investigations performed at WIPP and expands the investigations as required by the Permit. As an alternative to the RFI specified in Module VII of the Permit, current NMED guidance identifies an Accelerated Corrective Action Approach (ACAA) that may be used for any SWMU or AOC (NMED, 1998). This accelerated approach is used to replace the standard RFI work plan and report sequence with a more flexible decision-making approach. The ACAA process allows a facility to exit the schedule of compliance contained in the facility's Hazardous and Solid Waste Amendments (HSWA) permit module and proceed on an accelerated time frame. Thus, the ACAA process can beentered either before or after a RFI work plan. According to NMED's guidance, a facility can prepare a RFI work plan or SAP for any SWMU or AOC (NMED, 1998).

  16. Soil Sampling At Valley Of Ten Thousand Smokes Region Area (Kodosky...

    Open Energy Info (EERE)

    identification was also undertaken for selected samples using standard X-ray powder diffraction (XRD) techniques at the University of Alaska Fairbanks. Since the VTTS fossil...

  17. Soil Sampling At Valley Of Ten Thousand Smokes Region Area (Kodosky...

    Open Energy Info (EERE)

    on air-dried ( < 80 mesh fraction) samples using the Jerome Instrument 301 Au-film Hg degrees detector. References Lawrence G. Kodosky (1989) Surface Mercury Geochemistry As...

  18. Drilling, Sampling, and Well-Installation Plan for the IFC Well Field, 300 Area

    SciTech Connect (OSTI)

    Bjornstad, Bruce N.; Horner, Jacob A.

    2008-05-05

    The 300 Area was selected as a location for an IFC because it offers excellent opportunities for field research on the influence of mass-transfer processes on uranium in the vadose zone and groundwater. The 300 Area was the location of nuclear fuel fabrication facilities and has more than 100 waste sites. Two of these waste sites, the North and South Process Ponds received large volumes of process waste from 1943 to 1975 and are thought to represent a significant source of the groundwater uranium plume in the 300 Area. Geophysical surveys and other characterization efforts have led to selection of the South Process Pond for the IFC.

  19. Summary of the 1987 soil sampling effort at the Idaho National Engineering Laboratory Test Reactor Area Paint Shop Ditch

    SciTech Connect (OSTI)

    Wood, T.R.; Knight, J.L.; Hertzler, C.L.

    1989-08-01

    Sampling of the Test Reactor Area (TRA) Paint Shop Ditch at the Idaho National Engineering Laboratory was initiated in compliance with the Interim Agreement between the Department of Energy (DOE) and the Environmental Protection Agency (EPA). Sampling of the TRA Paint Shop Ditch was done as part of the Action Plan to achieve and maintain compliance with the Resource Conservation and Recovery Act (RCRA) and applicable regulations. It is the purpose of this document to provide a summary of the July 6, 1987 sampling activities that occurred in ditch west of Building TRA-662, which housed the TRA Paint Shop in 1987. This report will give a narrative description of the field activities, locations of collected samples, discuss the sampling procedures and the chemical analyses. Also included in the scope of this report is to bring together data and reports on the TRA Paint Shop Ditch for archival purposes. 6 refs., 10 figs., 8 tabs.

  20. Data Package of Samples Collected for Hydrogeologic and Geochemical Characterization: 300 Area RI/FS Sediment Cores

    SciTech Connect (OSTI)

    Lindberg, Michael J.; Bjornstad, Bruce N.; Lanigan, David C.; Williams, Benjamin D.

    2011-05-01

    This is a data package for sediment samples received from the 300 FF 5 OU. This report was prepared for CHPRC. Between August 16, 2010 and April 25, 2011 sediment samples were received from 300-FF-5 for geochemical studies. The analyses for this project were performed at the 331 building located in the 300 Area of the Hanford Site. The analyses were performed according to Pacific Northwest National Laboratory (PNNL) approved procedures and/or nationally recognized test procedures. The data sets include the sample identification numbers, analytical results, estimated quantification limits (EQL), and quality control data. The preparatory and analytical quality control requirements, calibration requirements, acceptance criteria, and failure actions are defined in the on-line QA plan 'Conducting Analytical Work in Support of Regulatory Programs' (CAW). This QA plan implements the Hanford Analytical Services Quality Assurance Requirements Documents (HASQARD) for PNNL.

  1. Comprehensive Sampling of Fourmile Branch and Its Seeplines in the F and H Area of SRS: June 1996 and March 1997

    SciTech Connect (OSTI)

    Koch, J.

    1998-10-30

    In June 1996, and March 1997 water samples were collected from Fourmile Branch (FMB) and its seeplines in the vicinity of the F- and H-Area Seepage basins. These sampling events represent a continuation of a series of semi-annual sampling events, which are now conducted annually and are aimed at characterizing the shallow groundwater outcropping into FMB and its wetlands. In the past, this groundwater has been shown to contain contaminants migrating from the F- and H-Area Seepage basins. The samples were analyzed for metals listed in Title 40, Code of Federal Regulations (CFR), Part 264, Appendix IX, various radionuclides, and selected inorganic constituents and parameters. Volatile organic compounds were not analyzed for in this sampling event since in previous events they were below detection limits, (ref. Dixon 1993, Dixon and Koch 1995).Results from both sampling events indicate that the seeplines of F and H Areas and FMB continue to be influenced by contaminants in groundwater originating from the capped seepage basins, but to a lesser degree than in the past. This suggests that the most concentrated portion of the contaminant plume may have flushed from the system.Contaminant concentrations measured during these two sampling events were compared to background samples collected during these two events and compared to primary drinking water standard (PDWS), secondary drinking water standards (SDWS), and maximum contaminant levels (MCL) enforceable in 1997. Results were also compared to the 1989 baseline measurements at corresponding locations.Using two separate statistical tests, the concentrations of analytes were compared to background samples. The purpose of the tests was to determine if concentrations of contaminants along the F- and H-Area seeplines were greater than background concentrations.

  2. Bioremediation Well Borehole Soil Sampling and Data Analysis Summary Report for the 100-N Area Bioremediation Project

    SciTech Connect (OSTI)

    D. A. Gamon

    2009-09-28

    The purpose of this report is to present data and findings acquired during the drilling and construction of seven bioremediation wells in the 100-N Area in conjunction with remediation of the UPR-100-N-17 petroleum waste site.

  3. Site characterization summary report for dry weather surface water sampling upper East Fork Poplar Creek characterization area Oak Ridge Y-12 Plant, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    1996-08-01

    This report describes activities associated with conducting dry weather surface water sampling of Upper East Fork Poplar Creek (UEFPC) at the Oak Ridge Y-12 Plant, Oak Ridge, Tennessee. This activity is a portion of the work to be performed at UEFPC Operable Unit (OU) 1 [now known as the UEFPC Characterization Area (CA)], as described in the RCRA Facility Investigation Plan for Group 4 at the Oak- Ridge Y-12 Plant, Oak Ridge, Tennessee and in the Response to Comments and Recommendations on RCRA Facility Investigation Plan for Group 4 at the Oak Ridge Y-12 Plant, Oak Ridge, Tennessee, Volume 1, Operable Unit 1. Because these documents contained sensitive information, they were labeled as unclassified controlled nuclear information and as such are not readily available for public review. To address this issue the U.S. Department of Energy (DOE) published an unclassified, nonsensitive version of the initial plan, text and appendixes, of this Resource Conservation and Recovery Act (RCRA) Facility Investigation (RFI) Plan in early 1994. These documents describe a program for collecting four rounds of wet weather and dry weather surface water samples and one round of sediment samples from UEFPC. They provide the strategy for the overall sample collection program including dry weather sampling, wet weather sampling, and sediment sampling. Figure 1.1 is a schematic flowchart of the overall sampling strategy and other associated activities. A Quality Assurance Project Plan (QAPJP) was prepared to specifically address four rounds of dry weather surface water sampling and one round of sediment sampling. For a variety of reasons, sediment sampling has not been conducted and has been deferred to the UEFPC CA Remedial Investigation (RI), as has wet weather sampling.

  4. Waste Area Grouping 4 Site Investigation Sampling and Analysis Plan, Oak Ridge National Laboratory, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    NONE

    1994-12-01

    Waste Area Grouping (WAG) 4 is one of 17 WAGs within and associated with Oak Ridge National Laboratory (ORNL), on the Oak Ridge Reservation in Oak Ridge, Tennessee. WAG 4 is located along Lagoon Road south of the main facility at ORNL. WAG 4 is a shallow-waste burial site consisting of three separate areas: (1) Solid Waste Storage Area (SWSA) 4, a shallow-land burial ground containing radioactive and potentially hazardous wastes; (2) an experimental Pilot Pit Area, including a pilot-scale testing pit; and (3) sections of two abandoned underground pipelines formerly used for transporting liquid, low-level radioactive waste. In the 1950s, SWSA 4 received a variety of low-and high-activity wastes, including transuranic wastes, all buried in trenches and auger holes. Recent surface water data indicate that a significant amount of {sup 90}Sr is being released from the old burial trenches in SWSA 4. This release represents a significant portion of the ORNL off-site risk. In an effort to control the sources of the {sup 90}Sr release and to reduce the off-site risk, a site investigation is being implemented to locate the trenches containing the most prominent {sup 90}Sr sources. This investigation has been designed to gather site-specific data to confirm the locations of {sup 90}Sr sources responsible for most off-site releases, and to provide data to be used in evaluating potential interim remedial alternatives prepared to direct the site investigation of the SWSA 4 area at WAG 4.

  5. Sampling and analysis plan for the site characterization of the waste area Grouping 1 groundwater operable unit at Oak Ridge National Laboratory

    SciTech Connect (OSTI)

    1994-11-01

    Waste Area Grouping (WAG) 1 at Oak Ridge National Laboratory (ORNL) includes all of the former ORNL radioisotope research, production, and maintenance facilities; former waste management areas; and some former administrative buildings. Site operations have contaminated groundwater, principally with radiological contamination. An extensive network of underground pipelines and utilities have contributed to the dispersal of contaminants to a known extent. In addition, karst geology, numerous spills, and pipeline leaks, together with the long and varied history of activities at specific facilities at ORNL, complicate contaminant migration-pathway analysis and source identification. To evaluate the extent of contamination, site characterization activity will include semiannual and annual groundwater sampling, as well as monthly water level measurements (both manual and continuous) at WAG 1. This sampling and analysis plan provides the methods and procedures to conduct site characterization for the Phase 1 Remedial Investigation of the WAG 1 Groundwater Operable Unit.

  6. Surface water sampling and analysis plan for environmental monitoring in Waste Area Grouping 6 at Oak Ridge National Laboratory, Oak Ridge, Tennessee. Environmental Restoration Program

    SciTech Connect (OSTI)

    Not Available

    1994-06-01

    This Sampling and Analysis Plan addresses surface water monitoring, sampling, and analysis activities that will be conducted in support of the Environmental Monitoring Plan for Waste Area Grouping (WAG) 6. WAG 6 is a shallow-burial land disposal facility for low-level radioactive waste at the Oak Ridge National Laboratory, a research facility owned by the US Department of Energy and managed by Martin Marietta Energy Systems, Inc. Surface water monitoring will be conducted at nine sites within WAG 6. Activities to be conducted will include the installation, inspection, and maintenance of automatic flow-monitoring and sampling equipment and manual collection of various water and sediment samples. The samples will be analyzed for various organic, inorganic, and radiological parameters. The information derived from the surface water monitoring, sampling, and analysis will aid in evaluating risk associated with contaminants migrating off-WAG, and will be used in calculations to establish relationships between contaminant concentration (C) and flow (Q). The C-Q relationship will be used in calculating the cumulative risk associated with the off-WAG migration of contaminants.

  7. Archaeological investigations at a toolstone source area and temporary camp: Sample Unit 19-25, Nevada Test Site, Nye County, Nevada. Technical report No. 77

    SciTech Connect (OSTI)

    Jones, R.C.; DuBarton, A.; Edwards, S.; Pippin, L.C.; Beck, C.M.

    1993-12-31

    Archaeological investigations were initiated at Sample Unit 19--25 to retrieve information concerning settlement and subsistence data on the aboriginal hunter and gatherers in the area. Studies included collection and mapping of 35.4 acres at site 26NY1408 and excavation and mapping of 0.02 acres at site 26NY7847. Cultural resources include two rock and brush structures and associated caches and a large lithic toolstone source area and lithic artifact scatter. Temporally diagnostic artifacts indicate periodic use throughout the last 12,000 years; however dates associated with projectile points indicate most use was in the Middle and Late Archaic. Radiocarbon dates from the rock and brush structures at site 26NY7847 indicate a construction date of A.D. 1640 and repair between A.D. 1800 and 1950 for feature 1 and between A.D. 1330 and 1390 and repair at A.D. 1410 for feature 2. The dates associated with feature 2 place its construction significantly earlier than similar structures found elsewhere on Pahute Mesa. Activity areas appear to reflect temporary use of the area for procurement of available lithic and faunal resources and the manufacture of tools.

  8. Results of sediment and water sampling for inorganic, organic, and radionuclide analysis at recreation areas and water intakes -- Norris, Melton Hill, and Watts Bar Lakes. Data report

    SciTech Connect (OSTI)

    1991-10-01

    Suspected water quality contamination in Watts Bar Reservoir as a result of activities in past decades at the Department of Energy`s (DOE) Oak Ridge facility is of public concern. DOE, the Tennessee Valley Authority (TVA), the State of Tennessee, and other agencies and officials have received many inquiries from the public in recent years concerning this suspected pollution, especially how this potential contamination may affect the health and safety of those persons who use beaches in the area for swimming or other water-body-contact sports. As a result of these concerns, TVA conducted a study in May and June 1991 to obtain data on potential contaminants of concern in the water and sediment of Watts Bar Reservoir. TVA collected water and sediment samples at a total of 29 sites, including 18 recreation areas and 11 water intake locations, located throughout Norris, Melton Hill, and Watts Bar Reservoirs. The samples were analyzed for radionuclides, metals, and organic compounds which could pose a threat to human health.

  9. Interference of probabilities in dynamics

    SciTech Connect (OSTI)

    Zak, Michail

    2014-08-15

    A new class of dynamical systems with a preset type of interference of probabilities is introduced. It is obtained from the extension of the Madelung equation by replacing the quantum potential with a specially selected feedback from the Liouville equation. It has been proved that these systems are different from both Newtonian and quantum systems, but they can be useful for modeling spontaneous collective novelty phenomena when emerging outputs are qualitatively different from the weighted sum of individual inputs. Formation of language and fast decision-making process as potential applications of the probability interference is discussed.

  10. Groundwater level monitoring sampling and analysis plan for the environmental monitoring plan at waste area grouping 6, Oak Ridge National Laboratory, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    1995-09-01

    This document is the Groundwater Level Monitoring Sampling and Analysis Plan (SAP) for Waste Area Grouping (WAG) 6 at Oak Ridge National Laboratory (ORNL). Note that this document is referred to as a SAP even though no sampling and analysis will be conducted. The term SAP is used for consistency. The procedures described herein are part of the Environmental Monitoring Plan (EMP) for WAG 6, which also includes monitoring tasks for seeps and springs, groundwater quality, surface water, and meteorological parameters. Separate SAPs are being issued concurrently to describe each of these monitoring programs. This SAP has been written for the use of the field personnel responsible for implementation of the EMP, with the intent that the field personnel will be able to take these documents to the field and quickly find the appropriate steps required to complete a specific task. In many cases, Field Operations Procedures (FOPs) will define the steps required for an activity. The FOPs for the EMP are referenced and briefly described in the relevant sections of the SAPs, and are contained within the FOP Manual. Both these documents (the SAP and the FOP Manual) will be available to personnel in the field.

  11. Probability of Liquefaction for H-Area Savannah River Site

    SciTech Connect (OSTI)

    Lee, R.C.

    2000-09-27

    In 1995 WSRC completed the geotechnical assessment for the In-Tank Precipitation Facility and the H-Tank Farm at the Savannah River Site. As part of that assessment, a probabilistic liquefaction evaluation for the Tobacco Road soils was completed.

  12. Groundwater level monitoring sampling and analysis plan for environmental monitoring in Waste Area Grouping 6 at Oak Ridge National Laboratory, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    This Sampling and Analysis Plan addresses groundwater level monitoring activities that will be conducted in support of the Environmental Monitoring Plan for Waste Area Grouping (WAG) 6. WAG 6 is a shallow-burial land disposal facility for low-level radioactive waste at the Oak Ridge National Laboratory, a research facility owned by the US Department of Energy and managed by Martin Marietta Energy Systems, Inc. Groundwater level monitoring will be conducted at 129 sites within the WAG. All of the sites will be manually monitored on a semiannual basis. Forty-five of the 128 wells, plus one site in White Oak Lake, will also be equipped with automatic water level monitoring equipment. The 46 sites are divided into three groups. One group will be equipped for continuous monitoring of water level, conductivity, and temperature. The other two groups will be equipped for continuous monitoring of water level only. The equipment will be rotated between the two groups. The data collected from the water level monitoring will be used to support determination of the contaminant flux at WAG 6.

  13. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  14. THE BLACK HOLE FORMATION PROBABILITY

    SciTech Connect (OSTI)

    Clausen, Drew; Piro, Anthony L.; Ott, Christian D.

    2015-02-01

    A longstanding question in stellar evolution is which massive stars produce black holes (BHs) rather than neutron stars (NSs) upon death. It has been common practice to assume that a given zero-age main sequence (ZAMS) mass star (and perhaps a given metallicity) simply produces either an NS or a BH, but this fails to account for a myriad of other variables that may effect this outcome, such as spin, binarity, or even stochastic differences in the stellar structure near core collapse. We argue that instead a probabilistic description of NS versus BH formation may be better suited to account for the current uncertainties in understanding how massive stars die. We present an initial exploration of the probability that a star will make a BH as a function of its ZAMS mass, P {sub BH}(M {sub ZAMS}). Although we find that it is difficult to derive a unique P {sub BH}(M {sub ZAMS}) using current measurements of both the BH mass distribution and the degree of chemical enrichment by massive stars, we demonstrate how P {sub BH}(M {sub ZAMS}) changes with these various observational and theoretical uncertainties. We anticipate that future studies of Galactic BHs and theoretical studies of core collapse will refine P {sub BH}(M {sub ZAMS}) and argue that this framework is an important new step toward better understanding BH formation. A probabilistic description of BH formation will be useful as input for future population synthesis studies that are interested in the formation of X-ray binaries, the nature and event rate of gravitational wave sources, and answering questions about chemical enrichment.

  15. Geographic Resource Map of Frozen Pipe Probabilities

    Broader source: Energy.gov [DOE]

    Presentation slide details a resource map showing the probability of frozen pipes in the geographic United States.

  16. Validation of Statistical Sampling Algorithms in Visual Sample Plan (VSP): Summary Report

    SciTech Connect (OSTI)

    Nuffer, Lisa L; Sego, Landon H.; Wilson, John E.; Hassig, Nancy L.; Pulsipher, Brent A.; Matzke, Brett D.

    2009-02-18

    probability based, meaning samples are located randomly (or on a randomly placed grid) so no bias enters into the placement of samples, and the number of samples is calculated such that IF the amount and spatial extent of contamination exceeds levels of concern, at least one of the samples would be taken from a contaminated area, at least X% of the time. Hence, "validation" of the statistical sampling algorithms is defined herein to mean ensuring that the "X%" (confidence) is actually met.

  17. Sample design for the residential energy consumption survey

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

    The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

  18. Water Sampling | Open Energy Information

    Open Energy Info (EERE)

    Water Sampling Details Activities (63) Areas (51) Regions (5) NEPA(2) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Field Sampling...

  19. Probability-theoretic characteristics of solar batteries

    SciTech Connect (OSTI)

    Lidorenko, N.S.; Asharin, L.N.; Borisova, N.A.; Evdokimov, V.M.; Ryabikov, S.V.

    1980-01-01

    Results are reported for an investigation into the characteristics of solar batteries on the basis of probability theory with the photocells treated as current generators; methods for reducing solar-battery circuit losses are considered.

  20. Probability distribution of the vacuum energy density

    SciTech Connect (OSTI)

    Duplancic, Goran; Stefancic, Hrvoje; Glavan, Drazen

    2010-12-15

    As the vacuum state of a quantum field is not an eigenstate of the Hamiltonian density, the vacuum energy density can be represented as a random variable. We present an analytical calculation of the probability distribution of the vacuum energy density for real and complex massless scalar fields in Minkowski space. The obtained probability distributions are broad and the vacuum expectation value of the Hamiltonian density is not fully representative of the vacuum energy density.

  1. Reassessment of the BWR scram failure probability

    SciTech Connect (OSTI)

    Burns, E.T.

    1989-01-01

    As part of the Severe Accident Policy Statement implementation, the probabilistic quantification of accident sequence frequencies that may lead to core damage is a key element in demonstrating a plant's safety status relative to US Nuclear Regulatory Commission (NRC) staff goals. One of the key quantitative inputs in a boiling water reactor (BWR) probabilistic risk assessment is the probability of a failure to scram. The assessment of this failure probability has been the subject of a long and continuing debate over the adequacy of available data and analytic modeling. This report provides a summary of the status of this debate, including the latest data, and provides a revision to the characterization of the failure probability originally published in NUREG 0460 and the Utility Group on Anticipated Transient Without Scram (ATWS) Petition.

  2. Electric quadrupole transition probabilities for atomic lithium

    SciTech Connect (OSTI)

    elik, Gltekin; Gke, Yasin; Y?ld?z, Murat

    2014-05-15

    Electric quadrupole transition probabilities for atomic lithium have been calculated using the weakest bound electron potential model theory (WBEPMT). We have employed numerical non-relativistic HartreeFock wavefunctions for expectation values of radii and the necessary energy values have been taken from the compilation at NIST. The results obtained with the present method agree very well with the Coulomb approximation results given by Caves (1975). Moreover, electric quadrupole transition probability values not existing in the literature for some highly excited levels have been obtained using the WBEPMT.

  3. Non-Gaussian Photon Probability Distribution

    SciTech Connect (OSTI)

    Solomon, Benjamin T.

    2010-01-28

    This paper investigates the axiom that the photon's probability distribution is a Gaussian distribution. The Airy disc empirical evidence shows that the best fit, if not exact, distribution is a modified Gamma mGAMMA distribution (whose parameters are alpha = r, betar/sq root(u)) in the plane orthogonal to the motion of the photon. This modified Gamma distribution is then used to reconstruct the probability distributions along the hypotenuse from the pinhole, arc from the pinhole, and a line parallel to photon motion. This reconstruction shows that the photon's probability distribution is not a Gaussian function. However, under certain conditions, the distribution can appear to be Normal, thereby accounting for the success of quantum mechanics. This modified Gamma distribution changes with the shape of objects around it and thus explains how the observer alters the observation. This property therefore places additional constraints to quantum entanglement experiments. This paper shows that photon interaction is a multi-phenomena effect consisting of the probability to interact P{sub i}, the probabilistic function and the ability to interact A{sub i}, the electromagnetic function. Splitting the probability function P{sub i} from the electromagnetic function A{sub i} enables the investigation of the photon behavior from a purely probabilistic P{sub i} perspective. The Probabilistic Interaction Hypothesis is proposed as a consistent method for handling the two different phenomena, the probability function P{sub i} and the ability to interact A{sub i}, thus redefining radiation shielding, stealth or cloaking, and invisibility as different effects of a single phenomenon P{sub i} of the photon probability distribution. Sub wavelength photon behavior is successfully modeled as a multi-phenomena behavior. The Probabilistic Interaction Hypothesis provides a good fit to Otoshi's (1972) microwave shielding, Schurig et al.(2006) microwave cloaking, and Oulton et al.(2008) sub

  4. Protections: Sampling

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

    Protections: Sampling Protections: Sampling Protection #3: Sampling for known and unexpected contaminants August 1, 2013 Monitoring stormwater in Los Alamos Canyon Monitoring stormwater in Los Alamos Canyon The Environmental Sampling Board, a key piece of the Strategy, ensures that LANL collects relevant and appropriate data to answer questions about the protection of human and environmental health, and to satisfy regulatory requirements. LANL must demonstrate the data are technically justified

  5. Optimum phase space probabilities from quantum tomography

    SciTech Connect (OSTI)

    Roy, Arunabha S.; Roy, S. M.

    2014-01-15

    We determine a positive normalised phase space probability distribution P with minimum mean square fractional deviation from the Wigner distribution W. The minimum deviation, an invariant under phase space rotations, is a quantitative measure of the quantumness of the state. The positive distribution closest to W will be useful in quantum mechanics and in time frequency analysis. The position-momentum correlations given by the distribution can be tested experimentally in quantum optics.

  6. Microsoft Word - Price Probabilities Supplement.doc

    Gasoline and Diesel Fuel Update (EIA)

    0 1 April 2010 Short-Term Energy Outlook Supplement: Probabilities of Possible Future Prices 1 EIA introduced a monthly analysis of energy price volatility and forecast uncertainty in the October 2009 Short-Term Energy Outlook (STEO). Included in the analysis were charts portraying confidence intervals around the New York Mercantile Exchange (NYMEX) futures prices of West Texas Intermediate (equivalent to light sweet crude oil) and Henry Hub natural gas contracts. The March 2010 STEO added

  7. Protections: Sampling

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

    Protection 3: Sampling for known and unexpected contaminants August 1, 2013 Monitoring stormwater in Los Alamos Canyon Monitoring stormwater in Los Alamos Canyon The Environmental ...

  8. Protections: Sampling

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

    and unexpected contaminants August 1, 2013 Monitoring stormwater in Los Alamos Canyon Monitoring stormwater in Los Alamos Canyon The Environmental Sampling Board, a key piece...

  9. Sample Format

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

    LNG Imports (Truck)" ,,,"Monthly Sales and Price Report" "MonthYear: ... at U.S. Border (USMMBtu)","Supplier","LNG Transporter","Markets Served - U.S. Area* ...

  10. Probability Density Function Method for Langevin Equations with...

    Office of Scientific and Technical Information (OSTI)

    Probability Density Function Method for Langevin Equations with Colored Noise Citation Details In-Document Search Title: Probability Density Function Method for Langevin Equations ...

  11. SAMPLING SYSTEM

    DOE Patents [OSTI]

    Hannaford, B.A.; Rosenberg, R.; Segaser, C.L.; Terry, C.L.

    1961-01-17

    An apparatus is given for the batch sampling of radioactive liquids such as slurries from a system by remote control, while providing shielding for protection of operating personnel from the harmful effects of radiation.

  12. Sampling box

    DOE Patents [OSTI]

    Phillips, Terrance D.; Johnson, Craig

    2000-01-01

    An air sampling box that uses a slidable filter tray and a removable filter cartridge to allow for the easy replacement of a filter which catches radioactive particles is disclosed.

  13. Sample Format

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

    of Origin International Point of Entry U.S. Receiving Facility Volume (Mcf at U.S. Border) Price at U.S. Border (USMMBtu) Supplier LNG Transporter Markets Served - U.S. Area*...

  14. Laboratory begins environmental sampling in townsite

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

    Laboratory begins environmental sampling Laboratory begins environmental sampling in townsite Environmental assessment of areas that have been or could have been affected by...

  15. SAMPLING OSCILLOSCOPE

    DOE Patents [OSTI]

    Sugarman, R.M.

    1960-08-30

    An oscilloscope is designed for displaying transient signal waveforms having random time and amplitude distributions. The oscilloscopc is a sampling device that selects for display a portion of only those waveforms having a particular range of amplitudes. For this purpose a pulse-height analyzer is provided to screen the pulses. A variable voltage-level shifter and a time-scale rampvoltage generator take the pulse height relative to the start of the waveform. The variable voltage shifter produces a voltage level raised one step for each sequential signal waveform to be sampled and this results in an unsmeared record of input signal waveforms. Appropriate delay devices permit each sample waveform to pass its peak amplitude before the circuit selects it for display.

  16. Sampling apparatus

    DOE Patents [OSTI]

    Gordon, Norman R.; King, Lloyd L.; Jackson, Peter O.; Zulich, Alan W.

    1989-01-01

    A sampling apparatus is provided for sampling substances from solid surfaces. The apparatus includes first and second elongated tubular bodies which telescopically and sealingly join relative to one another. An absorbent pad is mounted to the end of a rod which is slidably received through a passageway in the end of one of the joined bodies. The rod is preferably slidably and rotatably received through the passageway, yet provides a selective fluid tight seal relative thereto. A recess is formed in the rod. When the recess and passageway are positioned to be coincident, fluid is permitted to flow through the passageway and around the rod. The pad is preferably laterally orientable relative to the rod and foldably retractable to within one of the bodies. A solvent is provided for wetting of the pad and solubilizing or suspending the material being sampled from a particular surface.

  17. Sampling apparatus

    DOE Patents [OSTI]

    Gordon, N.R.; King, L.L.; Jackson, P.O.; Zulich, A.W.

    1989-07-18

    A sampling apparatus is provided for sampling substances from solid surfaces. The apparatus includes first and second elongated tubular bodies which telescopically and sealingly join relative to one another. An absorbent pad is mounted to the end of a rod which is slidably received through a passageway in the end of one of the joined bodies. The rod is preferably slidably and rotatably received through the passageway, yet provides a selective fluid tight seal relative thereto. A recess is formed in the rod. When the recess and passageway are positioned to be coincident, fluid is permitted to flow through the passageway and around the rod. The pad is preferably laterally orientable relative to the rod and foldably retractable to within one of the bodies. A solvent is provided for wetting of the pad and solubilizing or suspending the material being sampled from a particular surface. 15 figs.

  18. Colloid characterization and quantification in groundwater samples

    SciTech Connect (OSTI)

    K. Stephen Kung

    2000-06-01

    This report describes the work conducted at Los Alamos National Laboratory for studying the groundwater colloids for the Yucca Mountain Project in conjunction with the Hydrologic Resources Management Program (HRMP) and the Underground Test Area (UGTA) Project. Colloidal particle size distributions and total particle concentration in groundwater samples are quantified and characterized. Colloid materials from cavity waters collected near underground nuclear explosion sites by HRMP field sampling personnel at the Nevada Test Site (NTS) were quantified. Selected colloid samples were further characterized by electron microscope to evaluate the colloid shapes, elemental compositions, and mineral phases. The authors have evaluated the colloid size and concentration in the natural groundwater sample that was collected from the ER-20-5 well and stored in a 50-gallon (about 200-liter) barrel for several months. This groundwater sample was studied because HRMP personnel have identified trace levels of radionuclides in the water sample. Colloid results show that even though the water sample had filtered through a series of Millipore filters, high-colloid concentrations were identified in all unfiltered and filtered samples. They had studied the samples that were diluted with distilled water and found that diluted samples contained more colloids than the undiluted ones. These results imply that colloids are probably not stable during the storage conditions. Furthermore, results demonstrate that undesired colloids have been introduced into the samples during the storage, filtration, and dilution processes. They have evaluated possible sources of colloid contamination associated with sample collection, filtrating, storage, and analyses of natural groundwaters. The effects of container types and sample storage time on colloid size distribution and total concentration were studied to evaluate colloid stability by using J13 groundwater. The data suggests that groundwater samples

  19. Parametric probability distributions for anomalous change detection

    SciTech Connect (OSTI)

    Theiler, James P; Foy, Bernard R; Wohlberg, Brendt E; Scovel, James C

    2010-01-01

    The problem of anomalous change detection arises when two (or possibly more) images are taken of the same scene, but at different times. The aim is to discount the 'pervasive differences' that occur thoughout the imagery, due to the inevitably different conditions under which the images were taken (caused, for instance, by differences in illumination, atmospheric conditions, sensor calibration, or misregistration), and to focus instead on the 'anomalous changes' that actually take place in the scene. In general, anomalous change detection algorithms attempt to model these normal or pervasive differences, based on data taken directly from the imagery, and then identify as anomalous those pixels for which the model does not hold. For many algorithms, these models are expressed in terms of probability distributions, and there is a class of such algorithms that assume the distributions are Gaussian. By considering a broader class of distributions, however, a new class of anomalous change detection algorithms can be developed. We consider several parametric families of such distributions, derive the associated change detection algorithms, and compare the performance with standard algorithms that are based on Gaussian distributions. We find that it is often possible to significantly outperform these standard algorithms, even using relatively simple non-Gaussian models.

  20. Lectures on probability and statistics. Revision

    SciTech Connect (OSTI)

    Yost, G.P.

    1985-06-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. They begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probabilty of any specified outcome. They finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion.

  1. Low Probability Tail Event Analysis and Mitigation in BPA Control Area: Task One Report

    SciTech Connect (OSTI)

    Lu, Shuai; Makarov, Yuri V.

    2009-04-01

    This is a report for task one of the tail event analysis project for BPA. Tail event refers to the situation in a power system when unfavorable forecast errors of load and wind are superposed onto fast load and wind ramps, or non-wind generators falling short of scheduled output, the imbalance between generation and load becomes very significant. This type of events occurs infrequently and appears on the tails of the distribution of system power imbalance; therefore, is referred to as tail events. This report analyzes what happened during the Electric Reliability Council of Texas (ERCOT) reliability event on February 26, 2008, which was widely reported because of the involvement of wind generation. The objective is to identify sources of the problem, solutions to it and potential improvements that can be made to the system. Lessons learned from the analysis include the following: (1) Large mismatch between generation and load can be caused by load forecast error, wind forecast error and generation scheduling control error on traditional generators, or a combination of all of the above; (2) The capability of system balancing resources should be evaluated both in capacity (MW) and in ramp rate (MW/min), and be procured accordingly to meet both requirements. The resources need to be able to cover a range corresponding to the variability of load and wind in the system, additional to other uncertainties; (3) Unexpected ramps caused by load and wind can both become the cause leading to serious issues; (4) A look-ahead tool evaluating system balancing requirement during real-time operations and comparing that with available system resources should be very helpful to system operators in predicting the forthcoming of similar events and planning ahead; and (5) Demand response (only load reduction in ERCOT event) can effectively reduce load-generation mismatch and terminate frequency deviation in an emergency situation.

  2. Low Probability Tail Event Analysis and Mitigation in the BPA Control Area

    SciTech Connect (OSTI)

    Lu, Shuai; Brothers, Alan J.; McKinstry, Craig A.; Jin, Shuangshuang; Makarov, Yuri V.

    2010-10-31

    This report investigated the uncertainties with the operations of the power system and their contributions to tail events, especially under high penetration of wind. A Bayesian network model is established to quantify the impact of these uncertainties on system imbalance. The framework is presented for a decision support tool, which can help system operators better estimate the need for balancing reserves and prepare for tail events.

  3. Research Areas

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

    Research Areas Our Vision National User Facilities Research Areas In Focus Global Solutions ⇒ Navigate Section Our Vision National User Facilities Research Areas In Focus Global Solutions Biosciences The Biosciences Area forges multidisciplinary teams to solve national challenges in energy, environment and health issues; and to advance the engineering of biological systems for sustainable manufacturing. Biosciences Area research is coordinated through three divisions and is enabled by Berkeley

  4. Parameterizing deep convection using the assumed probability density function method

    SciTech Connect (OSTI)

    Storer, R. L.; Griffin, B. M.; Hoft, Jan; Weber, J. K.; Raut, E.; Larson, Vincent E.; Wang, Minghuai; Rasch, Philip J.

    2015-01-06

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method.The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and mid-latitude deep convection.These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing is weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.

  5. Parameterizing deep convection using the assumed probability density function method

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

    Storer, R. L.; Griffin, B. M.; Hft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.

    2015-01-06

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method.The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing is weak.moreThe same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.less

  6. Parameterizing deep convection using the assumed probability density function method

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

    Storer, R. L.; Griffin, B. M.; Höft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.

    2015-01-06

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method. The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and midlatitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing ismore » weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.« less

  7. Parameterizing deep convection using the assumed probability density function method

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

    Storer, R. L.; Griffin, B. M.; Höft, J.; Weber, J. K.; Raut, E.; Larson, V. E.; Wang, M.; Rasch, P. J.

    2014-06-11

    Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization. The PDF parameterization predicts the PDF of subgrid variability of turbulence, clouds, and hydrometeors. That variability is interfaced to a prognostic microphysics scheme using a Monte Carlo sampling method. The PDF parameterization is used to simulate tropical deep convection, the transition from shallow to deep convection over land, and mid-latitude deep convection. These parameterized single-column simulations are compared with 3-D reference simulations. The agreement is satisfactory except when the convective forcing ismore » weak. The same PDF parameterization is also used to simulate shallow cumulus and stratocumulus layers. The PDF method is sufficiently general to adequately simulate these five deep, shallow, and stratiform cloud cases with a single equation set. This raises hopes that it may be possible in the future, with further refinements at coarse time step and grid spacing, to parameterize all cloud types in a large-scale model in a unified way.« less

  8. Transition probability from matter-wave soliton to chaos

    SciTech Connect (OSTI)

    Zhu Qianquan; Hai Wenhua; Rong Shiguang

    2009-07-15

    For a Bose-Einstein condensate loaded into a weak traveling optical superlattice, it is demonstrated that under a stochastic initial set and in a given parameter region, the solitonic chaos appears with a certain probability. Effects of the lattice depths and wave vectors on the chaos probability are investigated analytically and numerically and different chaotic regions associated with different chaos probabilities are found. The results suggest a method for weakening or strengthening chaos by modulating the moving superlattice.

  9. Code System to Calculate Pressure Vessel Failure Probabilities.

    Energy Science and Technology Software Center (OSTI)

    2001-03-27

    Version 00 OCTAVIA (Operationally Caused Transients And Vessel Integrity Analysis) calculates the probability of pressure vessel failure from operationally-caused pressure transients which can occur in a pressurized water reactor (PWR). For specified vessel and operating environment characteristics the program computes the failure pressure at which the vessel will fail for different-sized flaws existing in the beltline and the probability of vessel failure per reactor year due to the flaw. The probabilities are summed over themore » various flaw sizes to obtain the total vessel failure probability. Sensitivity studies can be performed to investigate different vessel or operating characteristics in the same computer run.« less

  10. Energy level structure and transition probabilities in the spectra...

    Office of Scientific and Technical Information (OSTI)

    Energy level structure and transition probabilities in the spectra of the trivalent lanthanides in LaFsub 3. Tables, diagrams Citation Details In-Document Search Title: Energy ...

  11. Acceptance sampling using judgmental and randomly selected samples

    SciTech Connect (OSTI)

    Sego, Landon H.; Shulman, Stanley A.; Anderson, Kevin K.; Wilson, John E.; Pulsipher, Brent A.; Sieber, W. Karl

    2010-09-01

    We present a Bayesian model for acceptance sampling where the population consists of two groups, each with different levels of risk of containing unacceptable items. Expert opinion, or judgment, may be required to distinguish between the high and low-risk groups. Hence, high-risk items are likely to be identifed (and sampled) using expert judgment, while the remaining low-risk items are sampled randomly. We focus on the situation where all observed samples must be acceptable. Consequently, the objective of the statistical inference is to quantify the probability that a large percentage of the unsampled items in the population are also acceptable. We demonstrate that traditional (frequentist) acceptance sampling and simpler Bayesian formulations of the problem are essentially special cases of the proposed model. We explore the properties of the model in detail, and discuss the conditions necessary to ensure that required samples sizes are non-decreasing function of the population size. The method is applicable to a variety of acceptance sampling problems, and, in particular, to environmental sampling where the objective is to demonstrate the safety of reoccupying a remediated facility that has been contaminated with a lethal agent.

  12. A discussion on the origin of quantum probabilities

    SciTech Connect (OSTI)

    Holik, Federico; Departamento de Matemtica - Ciclo Bsico Comn, Universidad de Buenos Aires - Pabelln III, Ciudad Universitaria, Buenos Aires ; Senz, Manuel; Plastino, Angel

    2014-01-15

    We study the origin of quantum probabilities as arising from non-Boolean propositional-operational structures. We apply the method developed by Cox to non distributive lattices and develop an alternative formulation of non-Kolmogorovian probability measures for quantum mechanics. By generalizing the method presented in previous works, we outline a general framework for the deduction of probabilities in general propositional structures represented by lattices (including the non-distributive case). -- Highlights: Several recent works use a derivation similar to that of R.T. Cox to obtain quantum probabilities. We apply Coxs method to the lattice of subspaces of the Hilbert space. We obtain a derivation of quantum probabilities which includes mixed states. The method presented in this work is susceptible to generalization. It includes quantum mechanics and classical mechanics as particular cases.

  13. Bay Area

    National Nuclear Security Administration (NNSA)

    8%2A en NNSA to Conduct Aerial Radiological Surveys Over San Francisco, Pacifica, Berkeley, And Oakland, CA Areas http:nnsa.energy.govmediaroompressreleasesamsca

  14. Research Areas

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

    in diverse research areas such as cell biology, lithography, infrared microscopy, radiology, and x-ray tomography. Time-Resolved These techniques exploit the pulsed nature of...

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater Sampling at the Central Nevada Test Area February 2015 LMS/CNT/S01214 Available for sale to the public from: U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 Telephone: 800.553.6847 Fax: 703.605.6900 E-mail: orders@ntis.gov Online Ordering: http://www.ntis.gov/help/ordermethods.aspx Available electronically at http://www.osti.gov/scitech/ Available for a processing fee to U.S. Department of Energy and its contractors, in

  16. Radiation detection method and system using the sequential probability ratio test

    DOE Patents [OSTI]

    Nelson, Karl E.; Valentine, John D.; Beauchamp, Brock R.

    2007-07-17

    A method and system using the Sequential Probability Ratio Test to enhance the detection of an elevated level of radiation, by determining whether a set of observations are consistent with a specified model within a given bounds of statistical significance. In particular, the SPRT is used in the present invention to maximize the range of detection, by providing processing mechanisms for estimating the dynamic background radiation, adjusting the models to reflect the amount of background knowledge at the current point in time, analyzing the current sample using the models to determine statistical significance, and determining when the sample has returned to the expected background conditions.

  17. Surface Water Sampling | Open Energy Information

    Open Energy Info (EERE)

    Surface Water Sampling Details Activities (3) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Field...

  18. Surface Gas Sampling | Open Energy Information

    Open Energy Info (EERE)

    In The Past 20 Years- Geochemistry In Geothermal Exploration Resource Evaluation And Reservoir Management Surface Gas Sampling At Fenton Hill HDR Geothermal Area (Goff &...

  19. Quantification of the effects of dependence on human error probabiliti...

    Office of Scientific and Technical Information (OSTI)

    In estimating the probabilities of human error in the performance of a series of tasks in a nuclear power plant, the situation-specific characteristics of the series must be ...

  20. Review of Literature for Model Assisted Probability of Detection

    SciTech Connect (OSTI)

    Meyer, Ryan M.; Crawford, Susan L.; Lareau, John P.; Anderson, Michael T.

    2014-09-30

    This is a draft technical letter report for NRC client documenting a literature review of model assisted probability of detection (MAPOD) for potential application to nuclear power plant components for improvement of field NDE performance estimations.

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Salmon, Mississippi, Site, Water Sampling Location Map .........5 Water Sampling Field Activities Verification ...

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    .........1 Water Sampling Locations at the Rulison, .........3 Water Sampling Field Activities Verification ...

  3. Performance of the Rayleigh task based on the posterior probability of tomographic reconstructions

    SciTech Connect (OSTI)

    Hanson, K.M.

    1991-01-01

    We seek the best possible performance of the Rayleigh task in which one must decide whether a perceived object is a pair of Gaussian-blurred points or a blurred line. Two Bayesian reconstruction algorithms are used, the first based on a Gaussian prior-probability distribution with a nonnegativity constraint and the second based on an entropic prior. In both cases, the reconstructions are found that maximize the posterior probability. We compare the performance of the Rayleigh task obtained with two decision variables, the logarithm of the posterior probability ratio and the change in the mean-squared deviation from the reconstruction. The method of evaluation is based on the results of a numerical testing procedure in which the stated discrimination task is carried out on reconstructions of a randomly generated sequence of images. The ability to perform the Rayleigh task is summarized in terms of a discrimination index that is derived from the area under the receiver-operating characteristic (ROC) curve. We find that the use of the posterior probability does not result in better performance of the Rayleigh task than the mean-squared deviation from the reconstruction. 10 refs., 6 figs.

  4. Probability, consequences, and mitigation for lightning strikes to Hanford site high-level waste tanks

    SciTech Connect (OSTI)

    Zach, J.J.

    1996-08-01

    The purpose of this report is to summarize selected lightning issues concerning the Hanford Waste Tanks. These issues include the probability of lightning discharge striking the area immediately adjacent to a tank including a riser, the consequences of significant energy deposition from a lightning strike in a tank, and mitigating actions that have been or are being taken. The major conclusion of this report is that the probability of a lightning strike depositing sufficient energy in a tank to cause an effect on employees or the public is unlikely;but there are insufficient, quantitative data on the tanks and waste to prove that. Protection, such as grounding of risers and air terminals on existing light poles, is recommended.

  5. Probability, consequences, and mitigation for lightning strikes of Hanford high level waste tanks

    SciTech Connect (OSTI)

    Zach, J.J.

    1996-06-05

    The purpose of this report is to summarize selected lightning issues concerning the Hanford Waste Tanks. These issues include the probability of a lightning discharge striking the area immediately adjacent to a tank including a riser, the consequences of significant energy deposition from a lightning strike in a tank, and mitigating actions that have been or are being taken. The major conclusion of this report is that the probability of a lightning strike deposition sufficient energy in a tank to cause an effect on employees or the public is unlikely;but there are insufficient, quantitative data on the tanks and waste to prove that. Protection, such as grounding of risers and air terminals on existing light poles, is recommended.

  6. Bayesian Estimator of Protein-Protein Association Probabilities

    Energy Science and Technology Software Center (OSTI)

    2008-05-28

    The Bayesian Estimator of Protein-Protein Association Probabilities (BEPro3) is a software tool for estimating probabilities of protein-protein association between bait and prey protein pairs using data from multiple-bait, multiple-replicate, protein LC-MS/MS affinity isolation experiments. BEPro3 is public domain software, has been tested on Windows XP and version 10.4 or newer of the Mac OS 10.4, and is freely available. A user guide, example dataset with analysis and additional documentation are included with the BEPro3 download.

  7. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater and Surface Water Sampling at the Slick Rock, Colorado, Processing Sites .........7 Water Sampling Field Activities Verification ...

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Green River, Utah, Disposal Site August 2014 LMSGRN.........7 Water Sampling Field Activities Verification ...

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and May 2014 Groundwater and Surface Water Sampling at the Shiprock, New Mexico, Disposal .........9 Water Sampling Field Activities Verification ...

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Rio Blanco, Colorado, Site October 2014 LMSRBLS00514 .........5 Water Sampling Field Activities Verification ...

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Natural Gas and Produced Water Sampling at the Rulison, Colorado, Site November 2014 LMS.........3 Water Sampling Field Activities Verification ...

  12. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Groundwater and Surface Water Sampling at the Rulison, Colorado, Site October 2015 LMS.........5 Water Sampling Field Activities Verification ...

  13. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monticello, Utah, Processing Site July 2015 LMSMNT.........7 Water Sampling Field Activities Verification ...

  14. September 2004 Water Sampling

    Office of Legacy Management (LM)

    2015 Groundwater and Surface Water Sampling at the Shiprock, New Mexico, Disposal Site .........9 Water Sampling Field Activities Verification ...

  15. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Rio Blanco, Colorado, Site October 2015 LMSRBLS00515 .........5 Water Sampling Field Activities Verification ...

  16. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Produced Water Sampling at the Rulison, Colorado, Site May 2015 LMSRULS00115 Available .........3 Water Sampling Field Activities Verification ...

  17. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Natural Gas and Produced Water Sampling at the Gasbuggy, New Mexico, Site December 2013 .........5 Water Sampling Field Activities Verification ...

  18. September 2004 Water Sampling

    Office of Legacy Management (LM)

    Produced Water Sampling at the Rulison, Colorado, Site January 2016 LMSRULS00915 .........3 Water Sampling Field Activities Verification ...

  19. September 2004 Water Sampling

    Office of Legacy Management (LM)

    3 Groundwater and Surface Water Sampling at the Monument Valley, Arizona, Processing Site .........7 Water Sampling Field Activities Verification ...

  20. September 2004 Water Sampling

    Office of Legacy Management (LM)

    July 2015 Groundwater and Surface Water Sampling at the Gunnison, Colorado, Processing .........5 Water Sampling Field Activities Verification ...

  1. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Monticello, Utah, Processing Site July 2014 LMSMNT.........7 Water Sampling Field Activities Verification ...

  2. September 2004 Water Sampling

    Office of Legacy Management (LM)

    3 Water Sampling at the Monticello, Utah, Processing Site January 2014 LMSMNTS01013 This .........7 Water Sampling Field Activities Verification ...

  3. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Naturita, Colorado Processing Site October 2013 LMSNAP.........5 Water Sampling Field Activities Verification ...

  4. September 2004 Water Sampling

    Office of Legacy Management (LM)

    4 Groundwater and Surface Water Sampling at the Gunnison, Colorado, Processing Site .........5 Water Sampling Field Activities Verification ...

  5. September 2004 Water Sampling

    Office of Legacy Management (LM)

    and Surface Water Sampling at the Tuba City, Arizona, Disposal Site November 2013 LMSTUB.........9 Water Sampling Field Activities Verification ...

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    5 Groundwater and Surface Water Sampling at the Monticello, Utah, Processing Site January .........7 Water Sampling Field Activities Verification ...

  7. Calculating the probability of injected carbon dioxide plumes encountering faults

    SciTech Connect (OSTI)

    Jordan, P.D.

    2011-04-01

    One of the main concerns of storage in saline aquifers is leakage via faults. In the early stages of site selection, site-specific fault coverages are often not available for these aquifers. This necessitates a method using available fault data to estimate the probability of injected carbon dioxide encountering and migrating up a fault. The probability of encounter can be calculated from areal fault density statistics from available data, and carbon dioxide plume dimensions from numerical simulation. Given a number of assumptions, the dimension of the plume perpendicular to a fault times the areal density of faults with offsets greater than some threshold of interest provides probability of the plume encountering such a fault. Application of this result to a previously planned large-scale pilot injection in the southern portion of the San Joaquin Basin yielded a 3% and 7% chance of the plume encountering a fully and half seal offsetting fault, respectively. Subsequently available data indicated a half seal-offsetting fault at a distance from the injection well that implied a 20% probability of encounter for a plume sufficiently large to reach it.

  8. Water Sampling At Valles Caldera - Sulphur Springs Geothermal...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Water Sampling At Valles Caldera - Sulphur Springs Geothermal Area (Trainer, 1974)...

  9. Modeling highway travel time distribution with conditional probability models

    SciTech Connect (OSTI)

    Oliveira Neto, Francisco Moraes; Chin, Shih-Miao; Hwang, Ho-Ling; Han, Lee

    2014-01-01

    ABSTRACT Under the sponsorship of the Federal Highway Administration's Office of Freight Management and Operations, the American Transportation Research Institute (ATRI) has developed performance measures through the Freight Performance Measures (FPM) initiative. Under this program, travel speed information is derived from data collected using wireless based global positioning systems. These telemetric data systems are subscribed and used by trucking industry as an operations management tool. More than one telemetric operator submits their data dumps to ATRI on a regular basis. Each data transmission contains truck location, its travel time, and a clock time/date stamp. Data from the FPM program provides a unique opportunity for studying the upstream-downstream speed distributions at different locations, as well as different time of the day and day of the week. This research is focused on the stochastic nature of successive link travel speed data on the continental United States Interstates network. Specifically, a method to estimate route probability distributions of travel time is proposed. This method uses the concepts of convolution of probability distributions and bivariate, link-to-link, conditional probability to estimate the expected distributions for the route travel time. Major contribution of this study is the consideration of speed correlation between upstream and downstream contiguous Interstate segments through conditional probability. The established conditional probability distributions, between successive segments, can be used to provide travel time reliability measures. This study also suggests an adaptive method for calculating and updating route travel time distribution as new data or information is added. This methodology can be useful to estimate performance measures as required by the recent Moving Ahead for Progress in the 21st Century Act (MAP 21).

  10. Gas Flux Sampling At Long Valley Caldera Geothermal Area (Lewicki...

    Open Energy Info (EERE)

    between chamber CO2 fluxes and the atmospheric parameters over a comparable time period. Energy balance closure was assessed by statistical regression of EC energy fluxes...

  11. Gas Flux Sampling At Dixie Valley Geothermal Area (Iovenitti...

    Open Energy Info (EERE)

    H. Ibser, Jennifer Lewicki, B. Mack. Kennedy, Michael Swyer (2013) Egs Exploration Methodology Project Using the Dixie Valley Geothermal System, Nevada, Status Update Additional...

  12. Soil Sampling At Molokai Area (Thomas, 1986) | Open Energy Information

    Open Energy Info (EERE)

    Activity Date Usefulness useful DOE-funding Unknown Notes Due to the very small potential market on the island of Molokai for geothermal energy, only a limited effort was made to...

  13. Gas Flux Sampling At Long Valley Caldera Geothermal Area (Bergfeld...

    Open Energy Info (EERE)

    from locations west and east of the plant revealed the presence of isobutane related to plant operations. The 13C values of diffuse CO2 range from - 5.7 to - 3.4, similar...

  14. Soil Sampling At Lester Meadow Area (Vice, 2008) | Open Energy...

    Open Energy Info (EERE)

    Date Usefulness could be useful with more improvements DOE-funding Unknown References Daniel H. Vice (2008) Lester Meadow, Washington- A Geothermal Anomaly Additional References...

  15. Rock Sampling At Florida Mountains Area (Brookins, 1982) | Open...

    Open Energy Info (EERE)

    analysis from U,Th,K concentrations. References D. G. Brookins (1982) Potassium, Uranium, Thorium Radiogenic Heat Contribution To Heat Flow In The Precambrian And Younger...

  16. Rock Sampling At Zuni Mountains Nm Area (Brookins, 1982) | Open...

    Open Energy Info (EERE)

    analysis from U,Th,K concentrations. References D. G. Brookins (1982) Potassium, Uranium, Thorium Radiogenic Heat Contribution To Heat Flow In The Precambrian And Younger...

  17. Rock Sampling At Chena Geothermal Area (Kolker, 2008) | Open...

    Open Energy Info (EERE)

    Date 1973 - 1974 Usefulness useful DOE-funding Unknown Exploration Basis Masters thesis Norma Biggar, Geophysical Institute University of Alaska Notes Petrographic analysis...

  18. Gas Sampling At Valles Caldera - Sulphur Springs Geothermal Area...

    Open Energy Info (EERE)

    to other geothermal systems hosted within sedimentary rocks, suggesting that organic carbon and nitrogen in Paleozoic and Miocene strata were depleted during 13 million years...

  19. Groundwater Sampling At Raft River Geothermal Area (2004-2011...

    Open Energy Info (EERE)

    limited the degree of mixing between them. References Ayling, B.; Molling, P.; Nye, R.; Moore, J. (1 January 2011) FLUID GEOCHEMISTRY AT THE RAFT RIVER GEOTHERMAL FIELD, IDAHO- NEW...

  20. Surface Water Sampling At Chena Geothermal Area (Waring, Et Al...

    Open Energy Info (EERE)

    calcium and magnesium concentrations were measured, with elevated levels of silica and sulfate. Surface fumarole gases were tested with a flame to indicate carbon dioxide...

  1. Rock Sampling At Coso Geothermal Area (1995) | Open Energy Information

    Open Energy Info (EERE)

    and analytical analyses of reservoir rock and vein material. References Lutz, S.J.; Moore, J.N. ; Copp, J.F. (1 June 1995) Lithology and alteration mineralogy of...

  2. Surface Gas Sampling At Lightning Dock Area (Norman & Moore,...

    Open Energy Info (EERE)

    David I. Norman, Joseph Moore (2004) Gas Analysis Of Geothermal Fluid Inclusions- A New Technology For Geothermal Exploration Additional References Retrieved from "http:...

  3. Rock Sampling At Socorro Mountain Area (Armstrong, Et Al., 1995...

    Open Energy Info (EERE)

    SEM studies, and John Repetski (USGS, Reston, Virgina) conodont stratigraphy and color and textural alteration as guides to the carbonate rocks' thermal history. The...

  4. LCLS Sample Preparation Laboratory | Sample Preparation Laboratories

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

    LCLS Sample Preparation Laboratory Kayla Zimmerman | (650) 926-6281 Lisa Hammon, LCLS Lab Coordinator Welcome to the LCLS Sample Preparation Laboratory. This small general use wet lab is located in Rm 109 of the Far Experimental Hall near the MEC, CXI, and XCS hutches. It conveniently serves all LCLS hutches and is available for final stage sample preparation. Due to space limitations, certain types of activities may be restricted and all access must be scheduled in advance. User lab bench

  5. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1995-02-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control, and reporting. The ground-water sampling schedule identifies ground-water sampling .events used by PNL for environmental surveillance of the Hanford Site. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program.

  6. Improvements in release probability by using an overpack. [Obsolete munitions

    SciTech Connect (OSTI)

    Rhyne, W.R.; Ashwood, T.L.; Shappert, L.B.

    1986-01-01

    An analysis was performed to determine the probability of an unconfined release of hazardous material as a consequence of being involved in a severe transportation accident. Two packaging scenarios were considered: (1) material was palletized and placed in a standard aluminum sided trailer, and (2) the same material was placed in an overpackage. In addition to truck, both rail and air transport were also considered. Several release categories were defined ranging from minor to very large, and the effectiveness of the overpackage to reduce the probability of unconfined release was evaluated for each type of release category. The results are applicable to the transport of radioactive materials in similar overpackages. The potential accident scenarios for a pallet of obsolete munitions were identified using a fault-free methodology.

  7. Optimized Algorithm for Collision Probability Calculations in Cubic Geometry

    SciTech Connect (OSTI)

    Garcia, R.D.M.

    2004-06-15

    An optimized algorithm for implementing a recently developed method of computing collision probabilities (CPs) in three dimensions is reported in this work for the case of a homogeneous cube. Use is made of the geometrical regularity of the domain to rewrite, in a very compact way, the approximate formulas for calculating CPs in general three-dimensional geometry that were derived in a previous work by the author. The ensuing gain in computation time is found to be substantial: While the computation time associated with the general formulas increases as K{sup 2}, where K is the number of elements used in the calculation, that of the specific formulas increases only linearly with K. Accurate numerical results are given for several test cases, and an extension of the algorithm for computing the self-collision probability for a hexahedron is reported at the end of the work.

  8. Simple and compact expressions for neutrino oscillation probabilities in matter

    SciTech Connect (OSTI)

    Minakata, Hisakazu; Parke, Stephen J.

    2015-05-07

    We reformulate perturbation theory for neutrino oscillations in matter with an expansion parameter related to the ratio of the solar to the atmospheric ?m2 scales. Unlike previous works, use a renormalized basis in which certain first-order effects are taken into account in the zeroth-order Hamiltonian. Using this perturbation theory we derive extremely compact expressions for the neutrino oscillations probabilities in matter. We find, for example, that the ?e disappearance probability at this order is of a simple two flavor form with an appropriately identified mixing angle and ?m2. Furthermore, despite exceptional simplicity in their forms they accommodate all order effects ?13 and the matter potential.

  9. Evaluations of Structural Failure Probabilities and Candidate Inservice Inspection Programs

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.; Simonen, Fredric A.

    2009-05-01

    The work described in this report applies probabilistic structural mechanics models to predict the reliability of nuclear pressure boundary components. These same models are then applied to evaluate the effectiveness of alternative programs for inservice inspection to reduce these failure probabilities. Results of the calculations support the development and implementation of risk-informed inservice inspection of piping and vessels. Studies have specifically addressed the potential benefits of ultrasonic inspections to reduce failure probabilities associated with fatigue crack growth and stress-corrosion cracking. Parametric calculations were performed with the computer code pc-PRAISE to generate an extensive set of plots to cover a wide range of pipe wall thicknesses, cyclic operating stresses, and inspection strategies. The studies have also addressed critical inputs to fracture mechanics calculations such as the parameters that characterize the number and sizes of fabrication flaws in piping welds. Other calculations quantify uncertainties associated with the inputs calculations, the uncertainties in the fracture mechanics models, and the uncertainties in the resulting calculated failure probabilities. A final set of calculations address the effects of flaw sizing errors on the effectiveness of inservice inspection programs.

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    ... Inductively Coupled Plasma (ICP) Interference Check Sample (ICS) Analysis ICP interference check samples ICSA and ICSAB were analyzed at the required frequency to verify the ...