has been cited by the following article(s):
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[1]
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Development of a multi-level factorial data assimilation approach for groundwater contaminant sources identification
Journal of Hydrology,
2024
DOI:10.1016/j.jhydrol.2024.131233
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[2]
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Groundwater contamination source identification based on Sobol sequences–based sparrow search algorithm with a BiLSTM surrogate model
Environmental Science and Pollution Research,
2023
DOI:10.1007/s11356-023-25890-0
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[3]
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Groundwater contamination source identification based on Sobol sequences–based sparrow search algorithm with a BiLSTM surrogate model
Environmental Science and Pollution Research,
2023
DOI:10.1007/s11356-023-25890-0
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[4]
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An Integrated Bayesian and Machine Learning Approach Application to Identification of Groundwater Contamination Source Parameters
Water,
2022
DOI:10.3390/w14152447
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[5]
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Further Discussion on the Influence Radius of a Pumping Well: A Parameter with Little Scientific and Practical Significance That Can Easily Be Misleading
Water,
2021
DOI:10.3390/w13152050
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