Joint identification of groundwater pollution source information, model parameters, and boundary conditions based on a novel ES-MDA with a wheel battle strategy-Reference-Cited by-同舟云学术

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Joint identification of groundwater pollution source information, model parameters, and boundary conditions based on a novel ES-MDA with a wheel battle strategy

Published:2024-06 Issue: Volume:636 Page:131320
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Wang Zibo^ORCID,Lu Wenxi,Chang Zhenbo,Zhang Tao

Publisher

Elsevier BV

Reference54 articles.

1. Entity aware sequence to sequence learning using LSTMs for estimation of groundwater contamination release history and transport parameters;Anshuman;J. Hydrol.,2022

2. A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems;Ayvaz;J. Contam. Hydrol.,2010

3. A hybrid simulation-optimization approach for solving the areal groundwater pollution source identification problems;Ayvaz;J. Hydrol.,2016

4. Characterization of groundwater contamination: A transformer-based deep learning model;Bai;Adv. Water Resour.,2022

5. A geostatistical approach to recover the release history of groundwater pollutants;Butera;Water Resour. Res.,2003

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent enhanced particle filter with deep residual network surrogate for accurate groundwater pollution source characterization;Journal of Hydrology;2024-10

2. Simultaneous identification of groundwater contamination source information, model parameters, and boundary conditions under an unknown boundary mode;Stochastic Environmental Research and Risk Assessment;2024-08-30

3. Groundwater Contamination Source Recognition Based on a Two-Stage Inversion Framework with a Deep Learning Surrogate;Water;2024-07-03

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