Machine learning prediction of health risk and spatial dependence of geogenic contaminated groundwater from the Hetao Basin, China-Reference-Cited by-同舟云学术

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Machine learning prediction of health risk and spatial dependence of geogenic contaminated groundwater from the Hetao Basin, China

Published:2024-07 Issue: Volume:262 Page:107497
ISSN:0375-6742
Container-title:Journal of Geochemical Exploration
language:en
Short-container-title:Journal of Geochemical Exploration

Author:

Xia Peng,Zhao Yifu,Xie Xianjun,Li Junxia,Qian Kun,You Haoyu,Zhang Jingxian,Ge Weili,Pan Hongjie,Wang Yanxin

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference74 articles.

1. Poisons, pragmatic governance and deliberative democracy: the arsenic crisis in Bangladesh;Atkins;Geoforum,2007

2. Chitosan hydrogel synthesis to remove arsenic and fluoride ions from groundwater;Burillo;J. Hazard. Mater.,2021

3. A review of threats to groundwater quality in the anthropocene;Burri;Sci. Total Environ.,2019

4. Controls of paleochannels on groundwater arsenic distribution in shallow aquifers of alluvial plain in the Hetao Basin, China;Cao;Sci. Total Environ.,2018

5. Spatial distribution and controlling mechanisms of high fluoride groundwater in the coastal plain of Bohai Rim, North China;Cao;J. Hydrol.,2023

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1. Spatial Mapping and Prediction of Groundwater Quality Using Ensemble Learning Models and SHapley Additive exPlanations with Spatial Uncertainty Analysis;Water;2024-08-24

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