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ORIGINAL RESEARCH
Study on the Evaluation of Shallow Groundwater Quality and Health Risk in Luannan County Based on Random Forest Approach
Yue Wang 1,2,3
,
 
Zhihui Qu 1,2,3
,
 
Zhiqiang Gong 4,5
,
 
Yang Wang 4,5
,
 
Sihui Shao 4,5
,
 
Wei Du 6
,
 
Xiaoyu Fang 1,2
,
 
Ze Liu 1,2
 
 
 
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1
School of Ecology and Environment, Institute of Disaster Prevention, Sanhe, Hebei, China
 
2
Hebei Key Laboratory of Resource and Environmental Disaster Mechanism and Risk Monitoring, Sanhe, Hebei, China
 
3
Beijing Disaster Prevention Science and Technology CO.LTD
 
4
Hebei Geological Environment Monitoring Institute, Shijiazhuang, Hebei, China
 
5
Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection, Shijiazhuang, Hebei, China
 
6
Suzhou Qianxing Environmental Engineering Co., Ltd., Taicang 215431, China
 
 
Submission date: 2025-02-15
 
 
Final revision date: 2025-04-17
 
 
Acceptance date: 2025-04-27
 
 
Online publication date: 2025-07-01
 
 
Corresponding author
Zhihui Qu   

School of Ecology and Environment, Institute of Disaster Prevention, Sanhe, Hebei, China
 
 
DOI: https://doi.org/10.15244/pjoes/204425
 
 
Article (PDF)
References (49)
 
KEYWORDS
random forest approach
shallow groundwater
groundwater quality assessment
health risk assessment
 
TOPICS
ABSTRACT
This paper collected 134 groups of shallow groundwater samples from Luannan County from 2015 to 2023, constructed the groundwater quality evaluation model by the Random Forest method, and used the USEPA model to evaluate human health. The results showed that: (1) the groundwater quality in the study area was generally good, and only the samples of superwater accounted for 10.4%. The areas with poor water quality are concentrated in the southwest and north, and the central and eastern regions are good; (2) the importance evaluation of Random Forest shows that Mn2+ is the most important index affecting groundwater quality, mainly derived from mine drainage and unreasonable use of pesticides and fertilizers; (3) the proportion of children with HItotal greater than 1 reaches 64%, indicating that children are the most vulnerable population. Measures such as controlling pollution sources, regular monitoring, and health risk assessment are recommended to reduce risk.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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