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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Bibliografiske detaljer

Principais autores:	Yuanyi Liang, Xingjun Zhang, Yigao Sun, Linlin Yao, Lin Gan, Jialin Wu, Si Chen, Junyi Li, Jian Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2024-06-01
Serier:	Hydrology Research
Fag:	drastic-lu framework groundwater vulnerability to nitrate machine learning algorithm shap interpreter
Online adgang:	http://hr.iwaponline.com/content/55/6/663
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