Obserwuj
Boris Faybishenko
Tytuł
Cytowane przez
Cytowane przez
Rok
Hydraulic behavior of quasi‐saturated soils in the presence of entrapped air: Laboratory experiments
BA Faybishenko
Water Resources Research 31 (10), 2421-2435, 1995
3061995
The East River, Colorado, Watershed: A mountainous community testbed for improving predictive understanding of multiscale hydrological–biogeochemical dynamics
SS Hubbard, KH Williams, D Agarwal, J Banfield, H Beller, N Bouskill, ...
Vadose Zone Journal 17 (1), 1-25, 2018
1662018
Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado …
CD Koven, RG Knox, RA Fisher, JQ Chambers, BO Christoffersen, ...
Biogeosciences 17 (11), 3017-3044, 2020
1562020
Alternative concepts and approaches for modeling flow and transport in thick unsaturated zones of fractured rocks
K Pruess, B Faybishenko, GS Bodvarsson
Journal of Contaminant Hydrology 38 (1-3), 281-322, 1999
1391999
In situ long-term reductive bioimmobilization of Cr (VI) in groundwater using hydrogen release compound
B Faybishenko, TC Hazen, PE Long, EL Brodie, ME Conrad, SS Hubbard, ...
Environmental Science & Technology 42 (22), 8478-8485, 2008
1162008
Conceptual model of the geometry and physics of water flow in a fractured basalt vadose zone
B Faybishenko, C Doughty, M Steiger, JCS Long, TR Wood, JS Jacobsen, ...
Water resources research 36 (12), 3499-3520, 2000
1092000
Influence of hydrological, biogeochemical and temperature transients on subsurface carbon fluxes in a flood plain environment
B Arora, NF Spycher, CI Steefel, S Molins, M Bill, ME Conrad, W Dong, ...
Biogeochemistry 127, 367-396, 2016
992016
Dynamics of Fluids in Fractured Rock
SMBE B. Faybishenko, P.A. Witherspoon
American Geophysical Union, 2000
94*2000
Surrogate optimization of deep neural networks for groundwater predictions
J Müller, J Park, R Sahu, C Varadharajan, B Arora, B Faybishenko, ...
Journal of Global Optimization 81, 203-231, 2021
932021
Hydraulically‐vulnerable trees survive on deep‐water access during droughts in a tropical forest
R Chitra‐Tarak, C Xu, S Aguilar, KJ Anderson‐Teixeira, J Chambers, ...
New Phytologist 231 (5), 1798-1813, 2021
912021
Geochemical exports to river from the intrameander hyporheic zone under transient hydrologic conditions: East River Mountainous Watershed, Colorado
D Dwivedi, CI Steefel, B Arora, M Newcomer, JD Moulton, B Dafflon, ...
Water Resources Research 54 (10), 8456-8477, 2018
802018
Understanding and predicting vadose zone processes
B Arora, D Dwivedi, B Faybishenko, RB Jana, HM Wainwright
Reviews in Mineralogy and Geochemistry 85 (1), 303-328, 2019
722019
Information entropy to measure temporal and spatial complexity of unsaturated flow in heterogeneous media
DC Mays, BA Faybishenko, S Finsterle
Water Resources Research 38 (12), 49-1-49-11, 2002
662002
Geophysical monitoring of hydrological and biogeochemical transformations associated with Cr (VI) bioremediation
SS Hubbard, K Williams, ME Conrad, B Faybishenko, J Peterson, J Chen, ...
Environmental science & technology 42 (10), 3757-3765, 2008
632008
Hydrodynamics of the capture zone of a partially penetrating well in a confined aquifer
BA Faybishenko, I Javandel, PA Witherspoon
Water Resources Research 31 (4), 859-866, 1995
631995
Observational data patterns for time series data quality assessment
G Pastorello, D Agarwal, D Papale, T Samak, C Trotta, A Ribeca, ...
2014 IEEE 10th International Conference on e-Science 1, 271-278, 2014
612014
Microbial community response to addition of polylactate compounds to stimulate hexavalent chromium reduction in groundwater
EL Brodie, DC Joyner, B Faybishenko, ME Conrad, C Rios-Velazquez, ...
Chemosphere 85 (4), 660-665, 2011
602011
Identifying key controls on the behavior of an acidic-U (VI) plume in the Savannah River Site using reactive transport modeling
SA Bea, H Wainwright, N Spycher, B Faybishenko, SS Hubbard, ...
Journal of contaminant hydrology 151, 34-54, 2013
552013
Long-term missing value imputation for time series data using deep neural networks
J Park, J Müller, B Arora, B Faybishenko, G Pastorello, C Varadharajan, ...
Neural Computing and Applications 35 (12), 9071-9091, 2023
522023
Variation in hydroclimate sustains tropical forest biomass and promotes functional diversity
TL Powell, CD Koven, DJ Johnson, B Faybishenko, RA Fisher, RG Knox, ...
New Phytologist 219 (3), 932-946, 2018
502018
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