Water researchGroundwaterWater PollutantsChemicalNeural NetworksComputer
Spatiotemporal prediction for groundwater heavy metal contamination using Soft-DTW-based clustering and graph neural network framework.
Yong He, Zi-Long Duan, Xiang-Hong Ding, Zhao Zhang, Raud Eucaristia Mayoulou, Kao-Fei Zhu
Published: 202610.1016/j.watres.2025.125245
Abstract
Accurate prediction of groundwater heavy metal contaminant spatiotemporal dynamics is essential for monitoring optimization and remediation decision-making at contaminated sites. However, heterogeneous contamination distribution and complex spatiotem…
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