Identification of contaminant source and hydraulic conductivity field based on an ILUES-SOM surrogate model-Reference-Cited by-同舟云学术

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Identification of contaminant source and hydraulic conductivity field based on an ILUES-SOM surrogate model

Published:2023-03-10 Issue:7 Volume:37 Page:2725-2738
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Zheng Na,Liu Jinbing,Xia Xuemin,Gu Simin,Wu Yanhao,Li Xianwen,Jiang Simin

Funder

National Key Research and Development Program of China

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02415-2.pdf

Reference40 articles.

1. Asher MJ, Croke BFW, Jakeman AJ, Peeters LJM (2015) A review of surrogate models and their application to groundwater modeling. Water Resour Res 51(8):5957–5973. https://doi.org/10.1002/2015WR016967

2. Ayaz M, Ansari SA, Singh O (2021) Detection of pollutant source in groundwater using hybrid optimization model. Int J Energy Water Resour 6:81–93. https://doi.org/10.1007/s42108-021-00118-4

3. Bailey R, Baù D (2010) Ensemble smoother assimilation of hydraulic head and return flow data to estimate hydraulic conductivity distribution. Water Resour Res 46(12):W12543. https://doi.org/10.1029/2010WR009147

4. Bailey RT, Baù DA, Gates TK (2012) Estimating spatially-variable rate constants of denitrification in irrigated agricultural groundwater systems using an Ensemble Smoother. J Hydrol 468–469:188–202. https://doi.org/10.1016/j.jhydrol.2012.08.033

5. Bao J, Li L, Redoloza F (2020) Coupling ensemble smoother and deep learning with generative adversarial networks to deal with non-Gaussianity in flow and transport data assimilation. J Hydrol 590:125443. https://doi.org/10.1016/j.jhydrol.2020.125443

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1. Non-gaussian hydraulic conductivity and potential contaminant source identification: A comparison of two advanced DLPM-based inversion framework;Journal of Hydrology;2024-07

2. Joint identification of groundwater pollution source information, model parameters, and boundary conditions based on a novel ES-MDA with a wheel battle strategy;Journal of Hydrology;2024-06

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