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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- Stochastic hydrogeology's biggest hurdles analyzed and its big blind spot Y. Rubin et al. 10.5194/hess-22-5675-2018
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- Software framework for inverse modeling and uncertainty characterization C. Osorio-Murillo et al. 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. 10.1093/treephys/tps100
- Mapping snow depth within a tundra ecosystem using multiscale observations and Bayesian methods H. Wainwright et al. 10.5194/tc-11-857-2017
- Using Bayesian Networks for Sensitivity Analysis of Complex Biogeochemical Models H. Dai et al. 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. 10.3389/feart.2019.00118
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- Persistence of uranium groundwater plumes: Contrasting mechanisms at two DOE sites in the groundwater–river interaction zone J. Zachara et al. 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. 10.1002/2012WR013285
- A geostatistics‐informed hierarchical sensitivity analysis method for complex groundwater flow and transport modeling H. Dai et al. 10.1002/2016WR019756
- Theoretical development of the history matching method for subsurface characterizations based on simulated annealing algorithm J. Jeong & E. Park 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. 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. 10.1002/2014WR015252
- Delineating Facies Spatial Distribution by Integrating Ensemble Data Assimilationand Indicator Geostatistics With Level‐Set Transformation X. Song et al. 10.1029/2018WR023262
- Unsaturated soil slope characterization with Karhunen–Loève and polynomial chaos via Bayesian approach H. Yang et al. 10.1007/s00366-018-0610-x
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