Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Wainwright HM"'
Autor:
Wainwright, HM, Steefel, C, Trutner, SD, Henderson, AN, Nikolopoulos, EI, Wilmer, CF, Chadwick, KD, Falco, N, Schaettle, KB, Brown, JB, Steltzer, H, Williams, KH, Hubbard, SS, Enquist, BJ
Publikováno v:
Environmental Research Letters, vol 15, iss 8
Long-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2e2b429417dd476eaf638c020fe1982f
https://escholarship.org/uc/item/3b75g3q5
https://escholarship.org/uc/item/3b75g3q5
Publikováno v:
Ground water, vol 56, iss 1
Arora, B; Davis, JA; Spycher, NF; Dong, W; & Wainwright, HM. (2018). Comparison of Electrostatic and Non-Electrostatic Models for U(VI) Sorption on Aquifer Sediments. Groundwater, 56(1), 73-86. doi: 10.1111/gwat.12551. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/65d9f35t
Arora, B; Davis, JA; Spycher, NF; Dong, W; & Wainwright, HM. (2018). Comparison of Electrostatic and Non-Electrostatic Models for U(VI) Sorption on Aquifer Sediments. Groundwater, 56(1), 73-86. doi: 10.1111/gwat.12551. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/65d9f35t
© 2017, National Ground Water Association. A non-electrostatic generalized composite surface complexation model (SCM) was developed for U(VI) sorption on contaminated F-Area sediments from the U.S. Department of Energy Savannah River Site, South Car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::07bba13dfde4629ce1a4910c717096f6
https://escholarship.org/uc/item/65d9f35t
https://escholarship.org/uc/item/65d9f35t
Publikováno v:
Journal of Geophysical Research: Biogeosciences, vol 122, iss 12
Journal of Geophysical Research Biogeosciences, vol 122, iss 12
Grant, RF; Mekonnen, ZA; Riley, WJ; Wainwright, HM; Graham, D; & Torn, MS. (2017). Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation. Journal of Geophysical Research: Biogeosciences, 122(12), 3161-3173. doi: 10.1002/2017JG004035. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/09x4k422
Journal of Geophysical Research Biogeosciences, vol 122, iss 12
Grant, RF; Mekonnen, ZA; Riley, WJ; Wainwright, HM; Graham, D; & Torn, MS. (2017). Mathematical Modelling of Arctic Polygonal Tundra with Ecosys: 1. Microtopography Determines How Active Layer Depths Respond to Changes in Temperature and Precipitation. Journal of Geophysical Research: Biogeosciences, 122(12), 3161-3173. doi: 10.1002/2017JG004035. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/09x4k422
©2017. American Geophysical Union. All Rights Reserved. Microtopographic variation that develops among features (troughs, rims, and centers) within polygonal landforms of coastal arctic tundra strongly affects movement of surface water and snow and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::480d41bbed7bb95244b73a7b71c82b73
https://escholarship.org/uc/item/09x4k422
https://escholarship.org/uc/item/09x4k422
Autor:
Jeanne, P, Rutqvist, J, Foxall, W, Rinaldi, AP, Wainwright, HM, Zhou, Q, Birkholzer, J, Layland-Bachmann, C
Publikováno v:
Jeanne, P; Rutqvist, J; Foxall, W; Rinaldi, AP; Wainwright, HM; Zhou, Q; et al.(2017). Effects of the distribution and evolution of the coefficient of friction along a fault on the assessment of the seismic activity associated with a hypothetical industrial-scale geologic CO2sequestration operation. International Journal of Greenhouse Gas Control, 66, 254-263. doi: 10.1016/j.ijggc.2017.09.018. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/0x3187bh
© 2017 Carbon capture and storage (CCS) in geological formations is considered as a promising option that could limit CO2emissions from human activities into the atmosphere. However, there is a risk that pressure buildup inside the storage formation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::0df0ef1f1fd36fcbf92723c0737ecd0a
http://www.escholarship.org/uc/item/0x3187bh
http://www.escholarship.org/uc/item/0x3187bh
Autor:
Jeanne, P, Rutqvist, J, Wainwright, HM, Foxall, W, Bachmann, C, Zhou, Q, Rinaldi, AP, Birkholzer, J
Publikováno v:
Jeanne, P; Rutqvist, J; Wainwright, HM; Foxall, W; Bachmann, C; Zhou, Q; et al.(2016). Effects of in situ stress measurement uncertainties on assessment of predicted seismic activity and risk associated with a hypothetical industrial-scale geologic CO2 sequestration operation. Journal of Rock Mechanics and Geotechnical Engineering, 8(6), 873-885. doi: 10.1016/j.jrmge.2016.06.008. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/44z6q403
© 2016 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences Carbon capture and storage (CCS) in geologic formations has been recognized as a promising option for reducing carbon dioxide (CO2) emissions from large stationary sources. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::255eb277cfcbe4e40fc37fc778c1dfd0
http://www.escholarship.org/uc/item/44z6q403
http://www.escholarship.org/uc/item/44z6q403
Autor:
Wainwright HM; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, USA. hmwainw@mit.edu.; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, USA. hmwainw@mit.edu., Christiaen C; École Polytechnique, Palaiseau, France., Atz M, Tchakerian JS; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, USA., Yu J; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, USA., Ridley GK; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, USA., Shirvan K; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, USA.
Publikováno v:
Scientific reports [Sci Rep] 2024 Nov 06; Vol. 14 (1), pp. 26904. Date of Electronic Publication: 2024 Nov 06.
Autor:
Ayoub A; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA., Wainwright HM; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA., Sansavini G; Department of Mechanical and Process Engineering, ETH Zurich, Zurich, Switzerland., Gauntt R; Severe Accident Analysis Department, Sandia National Laboratories, Albuquerque, NM, USA., Saito K; Fukushima Environmental Safety Center, Japan Atomic Energy Agency, Fukushima, Japan.
Publikováno v:
IScience [iScience] 2024 Mar 11; Vol. 27 (4), pp. 109485. Date of Electronic Publication: 2024 Mar 11 (Print Publication: 2024).
Autor:
Ladau J; Departments of Computational Precision Health and Dermatology, University of California, San Francisco, CA, 94115, USA.; Arva Intelligence, Inc., Salt Lake City, UT, 84101, USA.; Computational Biosciences Group, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Brodie EL; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Falco N; Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Bansal I; Computational Biosciences Group, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Hoffman EB; Arva Intelligence, Inc., Salt Lake City, UT, 84101, USA.; Graduate Group in Biostatistics, University of California, Berkeley, CA, 94720, USA., Joachimiak MP; Biosystems Data Science, Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Mora AM; Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California, Berkeley, CA, 94720, USA., Walker AM; Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, 37996, USA., Wainwright HM; Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Boston, MA, 02139, USA., Wu Y; Graduate Group in Biostatistics, University of California, Berkeley, CA, 94720, USA., Pavicic M; Biosciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA., Jacobson D; Biosciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA., Hess M; University of California, Davis, CA, 95616, USA., Brown JB; Arva Intelligence, Inc., Salt Lake City, UT, 84101, USA.; Computational Biosciences Group, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Statistics Department, University of California, Berkeley, CA, 94720, USA., Abuabara K; Departments of Computational Precision Health and Dermatology, University of California, San Francisco, CA, 94115, USA.; Division of Epidemiology and Biostatistics, University of California Berkeley School of Public Health, 2121 Berkeley Way, Berkeley, CA, 94720, USA.
Publikováno v:
Infectious Disease Modelling [Infect Dis Model] 2024 Mar 04; Vol. 9 (2), pp. 634-643. Date of Electronic Publication: 2024 Mar 04 (Print Publication: 2024).
Autor:
Wainwright HM; Massachusetts Institute of Technology, Cambridge, MA, USA. Electronic address: hmwainw@mit.edu., Powell BA; Clemson University, Clemson, SC, USA., Hoover ME; Savannah River National Laboratory, Aiken, SC, USA., Ayoub A; Massachusetts Institute of Technology, Cambridge, MA, USA., Atz M; Argonne National Laboratory, Lemont, IL, USA., Benson C; University of Wisconsin, Madison, WI, USA., Borrelli RA; University of Idaho, Idaho Falls, ID, USA., Djokic D; University of Michigan, Ann Arbor, MI, USA., Eddy-Dilek CA; Savannah River National Laboratory, Aiken, SC, USA., Ermakova D; University of California, Berkeley, CA, USA., Hayes R; North Carolina State University, Raleigh, NC, USA., Higley K; Oregon State University, Corvallis, OR, USA., Krahn S; Vanderbilt University, Nashville, TN, USA., Lagos L; Florida International University, Miami, FL, USA., Landsberger S; University of Texas, Austin, TX, USA., Leggett C; Booz Allen Hamilton, McLean, VA, USA., Regalbuto M; Idaho National Laboratory, Idaho Falls, ID, USA., Roy W; University of Illinois, Urbana Champaign, IL, USA., Shuller-Nickles L; Clemson University, Clemson, SC, USA., Ewing RC; Stanford University, Stanford, CA, USA.
Publikováno v:
Journal of environmental radioactivity [J Environ Radioact] 2023 Dec; Vol. 270, pp. 107288. Date of Electronic Publication: 2023 Sep 16.
Autor:
Meray AO; Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States., Sturla S; Department of Environmental Science, Policy, and Management, University of California Berkeley, Mulford Hall, 2521 Hearst Avenue, Berkeley, California 94709, United States., Siddiquee MR; Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States., Serata R; Department of Civil and Environmental Engineering, University of California Berkeley, Davis Hall, 2521 Hearst Avenue, Berkeley, California 94709, United States., Uhlemann S; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 74R-316C, Berkeley 94704, United States., Gonzalez-Raymat H; Savannah River National Laboratory, Savannah River Site, Aiken, South Carolina 29808, United States., Denham M; Panoramic Environmental Consulting, LLC, P.O. Box 906, Aiken, South Carolina 29802, United States., Upadhyay H; Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States., Lagos LE; Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States., Eddy-Dilek C; Savannah River National Laboratory, Savannah River Site, Aiken, South Carolina 29808, United States., Wainwright HM; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 74R-316C, Berkeley 94704, United States.; Department of Nuclear Science & Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Publikováno v:
Environmental science & technology [Environ Sci Technol] 2022 May 03; Vol. 56 (9), pp. 5973-5983. Date of Electronic Publication: 2022 Apr 15.