Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling-Reference-Cited by-同舟云学术

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Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling

Published:2020-06 Issue:6 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Ramgraber Maximilian¹²^ORCID,Camporese Matteo³^ORCID,Renard Philippe²,Salandin Paolo³,Schirmer Mario¹²

Affiliation:

1. Department of Water Resources and Drinking Water Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland

2. Centre for Hydrogeology and Geothermics (CHYN) University of Neuchâtel Neuchâtel Switzerland

3. Department of Civil, Environmental and Architectural Engineering University of Padova Padua Italy

Funder

European Commission

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026777

Reference69 articles.

1. The Ensemble Kalman Filter in Reservoir Engineering--a Review

2. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

3. Blocking Moving Window algorithm: Conditioning multiple-point simulations to hydrogeological data

4. Baker J. E.(1987).Reducing bias and inefficiency in the selection algorithm. Second International Conference on Genetic Algorithms and their Application 206 260.https://doi.org/10.1136/bmj.39184.617049.80

5. Scripting MODFLOW Model Development Using Python and FloPy

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3. Buried Paleo‐Channel Detection With a Groundwater Model, Tracer‐Based Observations, and Spatially Varying, Preferred Anisotropy Pilot Point Calibration;Geophysical Research Letters;2022-07-14

4. Decision-support systems for water management;Journal of Hydrology;2022-07

5. Non‐Gaussian Parameter Inference for Hydrogeological Models Using Stein Variational Gradient Descent;Water Resources Research;2021-04

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