Using Machine Learning to Develop a Surrogate Model for Simulating Multispecies Contaminant Transport in Groundwater

Using Machine Learning to Develop a Surrogate Model for Simulating Multispecies Contaminant Transport in Groundwater

Traditional numerical models have been widely employed to simulate the transport of multispecies reactive contaminants in groundwater systems; however, their high computational cost limits their applicability in real-time or large-scale scenarios. Recent advances in artificial intelligence (AI) offe...

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Bibliographic Details
Main Authors: Thu-Uyen Nguyen, Heejun Suk, Ching-Ping Liang, Yu-Chieh Ho, Jui-Sheng Chen
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Hydrology
Subjects:
multispecies reactive contaminant transport
surrogate model
machine learning
artificial neural network (ANN)
finite difference (FD)
Online Access:https://www.mdpi.com/2306-5338/12/7/185
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