Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China: Integrating novel explainable machine learning algorithms with DRASTIC-LU

Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China: Integrating novel explainable machine learning algorithms with DRASTIC-LU

Groundwater vulnerability to nitrate assessment serves as a measure of potential groundwater nitrate pollution in a target area. This study applies the DRASTIC-LU framework, nitrate distribution data, and three machine learning models (RF, XGB, SVM) to classify nitrate levels (exceeding 10 mg/L as n...

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Bibliographic Details
Main Authors: Yuanyi Liang, Xingjun Zhang, Yigao Sun, Linlin Yao, Lin Gan, Jialin Wu, Si Chen, Junyi Li, Jian Wang
Format: Article
Language:English
Published: IWA Publishing 2024-06-01
Series:Hydrology Research
Subjects:
drastic-lu framework
groundwater vulnerability to nitrate
machine learning algorithm
shap interpreter
Online Access:http://hr.iwaponline.com/content/55/6/663

Internet

http://hr.iwaponline.com/content/55/6/663

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