Articles | Volume 14, issue 10
https://doi.org/10.5194/hess-14-1989-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-14-1989-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
21 Oct 2010
Bayesian approach for three-dimensional aquifer characterization at the Hanford 300 Area
H. Murakami
Department of Nuclear Engineering, University of California, Berkeley, California, USA
X. Chen
Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
M. S. Hahn
Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
Y. Liu
Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
M. L. Rockhold
Pacific Northwest National Laboratory, Richland, WA, USA
V. R. Vermeul
Pacific Northwest National Laboratory, Richland, WA, USA
J. M. Zachara
Pacific Northwest National Laboratory, Richland, WA, USA
Y. Rubin
Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
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Cited
28 citations as recorded by crossref.
- Direct prediction of spatially and temporally varying physical properties from time‐lapse electrical resistance data T. Hermans et al. https://doi.org/10.1002/2016WR019126
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- A strategy for improved computational efficiency of the method of anchored distributions M. Over et al. https://doi.org/10.1002/wrcr.20182
- Coupling among Microbial Communities, Biogeochemistry and Mineralogy across Biogeochemical Facies J. Stegen et al. https://doi.org/10.1038/srep30553
- Dimensionality reduction for efficient Bayesian estimation of groundwater flow in strongly heterogeneous aquifers T. Mara et al. https://doi.org/10.1007/s00477-016-1344-1
- A Development of Markov Chain Monte Carlo History Matching Technique for Subsurface Characterization J. Jeong & E. Park https://doi.org/10.7857/JSGE.2015.20.3.051
- Impact of hydrogeological data on measures of uncertainty, site characterization and environmental performance metrics F. de Barros et al. https://doi.org/10.1016/j.advwatres.2011.05.004
- A Geostatistical Evolution Strategy for Subsurface Characterization: Theory and Validation Through Hypothetical Two‐Dimensional Hydraulic Conductivity Fields E. Park https://doi.org/10.1029/2019WR026922
- Characterizing the Influence of Multiple Uncertainties on Predictions of Contaminant Discharge in Groundwater Within a Lagrangian Stochastic Formulation V. Ciriello & F. de Barros https://doi.org/10.1029/2020WR027867
- Characterization of Parameters for a Spatially Heterogenous Aquifer from Pumping Test Data T. Cui et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000871
- Understanding Contaminant Migration Within a Dynamic River Corridor Through Field Experiments and Reactive Transport Modeling X. Chen et al. https://doi.org/10.3389/frwa.2020.533796
- Software framework for inverse modeling and uncertainty characterization C. Osorio-Murillo et al. https://doi.org/10.1016/j.envsoft.2015.01.002
- A statistical method for estimating wood thermal diffusivity and probe geometry using in situ heat response curves from sap flow measurements X. Chen et al. https://doi.org/10.1093/treephys/tps100
- Mapping snow depth within a tundra ecosystem using multiscale observations and Bayesian methods H. Wainwright et al. https://doi.org/10.5194/tc-11-857-2017
- Using Bayesian Networks for Sensitivity Analysis of Complex Biogeochemical Models H. Dai et al. https://doi.org/10.1029/2018WR023589
- What We Talk About When We Talk About Uncertainty. Toward a Unified, Data-Driven Framework for Uncertainty Characterization in Hydrogeology F. Heße et al. https://doi.org/10.3389/feart.2019.00118
- Inverse methods in hydrogeology: Evolution and recent trends H. Zhou et al. https://doi.org/10.1016/j.advwatres.2013.10.014
- Dimension reduction for integrating data series in Bayesian inversion of geostatistical models H. Savoy & F. Heße https://doi.org/10.1007/s00477-019-01697-9
- River stage influences on uranium transport in a hydrologically dynamic groundwater‐surface water transition zone J. Zachara et al. https://doi.org/10.1002/2015WR018009
- Debates—Stochastic subsurface hydrology from theory to practice: Does stochastic subsurface hydrology help solving practical problems of contaminant hydrogeology? O. Cirpka & A. Valocchi https://doi.org/10.1002/2016WR019087
- Persistence of uranium groundwater plumes: Contrasting mechanisms at two DOE sites in the groundwater–river interaction zone J. Zachara et al. https://doi.org/10.1016/j.jconhyd.2013.02.001
- Application of ensemble-based data assimilation techniques for aquifer characterization using tracer data at Hanford 300 area X. Chen et al. https://doi.org/10.1002/2012WR013285
- A geostatistics‐informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling H. Dai et al. https://doi.org/10.1002/2016WR019756
- Theoretical development of the history matching method for subsurface characterizations based on simulated annealing algorithm J. Jeong & E. Park https://doi.org/10.1016/j.petrol.2019.05.084
- A comparison of deterministic and stochastic approaches for regional scale inverse modeling on the Mar del Plata aquifer M. Pool et al. https://doi.org/10.1016/j.jhydrol.2015.09.064
- Bayesian inversion of Mualem‐van Genuchten parameters in a multilayer soil profile: A data‐driven, assumption‐free likelihood function M. Over et al. https://doi.org/10.1002/2014WR015252
- Delineating Facies Spatial Distribution by Integrating Ensemble Data Assimilationand Indicator Geostatistics With Level‐Set Transformation X. Song et al. https://doi.org/10.1029/2018WR023262
- Unsaturated soil slope characterization with Karhunen–Loève and polynomial chaos via Bayesian approach H. Yang et al. https://doi.org/10.1007/s00366-018-0610-x
28 citations as recorded by crossref.
- Direct prediction of spatially and temporally varying physical properties from time‐lapse electrical resistance data T. Hermans et al. https://doi.org/10.1002/2016WR019126
- Stochastic hydrogeology's biggest hurdles analyzed and its big blind spot Y. Rubin et al. https://doi.org/10.5194/hess-22-5675-2018
- A strategy for improved computational efficiency of the method of anchored distributions M. Over et al. https://doi.org/10.1002/wrcr.20182
- Coupling among Microbial Communities, Biogeochemistry and Mineralogy across Biogeochemical Facies J. Stegen et al. https://doi.org/10.1038/srep30553
- Dimensionality reduction for efficient Bayesian estimation of groundwater flow in strongly heterogeneous aquifers T. Mara et al. https://doi.org/10.1007/s00477-016-1344-1
- A Development of Markov Chain Monte Carlo History Matching Technique for Subsurface Characterization J. Jeong & E. Park https://doi.org/10.7857/JSGE.2015.20.3.051
- Impact of hydrogeological data on measures of uncertainty, site characterization and environmental performance metrics F. de Barros et al. https://doi.org/10.1016/j.advwatres.2011.05.004
- A Geostatistical Evolution Strategy for Subsurface Characterization: Theory and Validation Through Hypothetical Two‐Dimensional Hydraulic Conductivity Fields E. Park https://doi.org/10.1029/2019WR026922
- Characterizing the Influence of Multiple Uncertainties on Predictions of Contaminant Discharge in Groundwater Within a Lagrangian Stochastic Formulation V. Ciriello & F. de Barros https://doi.org/10.1029/2020WR027867
- Characterization of Parameters for a Spatially Heterogenous Aquifer from Pumping Test Data T. Cui et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000871
- Understanding Contaminant Migration Within a Dynamic River Corridor Through Field Experiments and Reactive Transport Modeling X. Chen et al. https://doi.org/10.3389/frwa.2020.533796
- Software framework for inverse modeling and uncertainty characterization C. Osorio-Murillo et al. https://doi.org/10.1016/j.envsoft.2015.01.002
- A statistical method for estimating wood thermal diffusivity and probe geometry using in situ heat response curves from sap flow measurements X. Chen et al. https://doi.org/10.1093/treephys/tps100
- Mapping snow depth within a tundra ecosystem using multiscale observations and Bayesian methods H. Wainwright et al. https://doi.org/10.5194/tc-11-857-2017
- Using Bayesian Networks for Sensitivity Analysis of Complex Biogeochemical Models H. Dai et al. https://doi.org/10.1029/2018WR023589
- What We Talk About When We Talk About Uncertainty. Toward a Unified, Data-Driven Framework for Uncertainty Characterization in Hydrogeology F. Heße et al. https://doi.org/10.3389/feart.2019.00118
- Inverse methods in hydrogeology: Evolution and recent trends H. Zhou et al. https://doi.org/10.1016/j.advwatres.2013.10.014
- Dimension reduction for integrating data series in Bayesian inversion of geostatistical models H. Savoy & F. Heße https://doi.org/10.1007/s00477-019-01697-9
- River stage influences on uranium transport in a hydrologically dynamic groundwater‐surface water transition zone J. Zachara et al. https://doi.org/10.1002/2015WR018009
- Debates—Stochastic subsurface hydrology from theory to practice: Does stochastic subsurface hydrology help solving practical problems of contaminant hydrogeology? O. Cirpka & A. Valocchi https://doi.org/10.1002/2016WR019087
- Persistence of uranium groundwater plumes: Contrasting mechanisms at two DOE sites in the groundwater–river interaction zone J. Zachara et al. https://doi.org/10.1016/j.jconhyd.2013.02.001
- Application of ensemble-based data assimilation techniques for aquifer characterization using tracer data at Hanford 300 area X. Chen et al. https://doi.org/10.1002/2012WR013285
- A geostatistics‐informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling H. Dai et al. https://doi.org/10.1002/2016WR019756
- Theoretical development of the history matching method for subsurface characterizations based on simulated annealing algorithm J. Jeong & E. Park https://doi.org/10.1016/j.petrol.2019.05.084
- A comparison of deterministic and stochastic approaches for regional scale inverse modeling on the Mar del Plata aquifer M. Pool et al. https://doi.org/10.1016/j.jhydrol.2015.09.064
- Bayesian inversion of Mualem‐van Genuchten parameters in a multilayer soil profile: A data‐driven, assumption‐free likelihood function M. Over et al. https://doi.org/10.1002/2014WR015252
- Delineating Facies Spatial Distribution by Integrating Ensemble Data Assimilationand Indicator Geostatistics With Level‐Set Transformation X. Song et al. https://doi.org/10.1029/2018WR023262
- Unsaturated soil slope characterization with Karhunen–Loève and polynomial chaos via Bayesian approach H. Yang et al. https://doi.org/10.1007/s00366-018-0610-x
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