Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis

Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis

Study region: The study area is located in the urban area of Chongqing City, the largest metropolis in southwestern China. Study focus: Various hydrochemical processes and water quality prediction are unknown, hampering the sustainable development of metropolis. In this study, geochemical model, ent...

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Bibliographic Details
Main Authors: Zhan Xie, Weiting Liu, Si Chen, Rongwen Yao, Chang Yang, Xingjun Zhang, Junyi Li, Yangshuang Wang, Yunhui Zhang
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Groundwater environment
Machine learning approaches
Hydrochemical processes
Water quality index
Water quality prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825000515
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