ORIGINAL RESEARCH
Study on the Evaluation of Shallow Groundwater
Quality and Health Risk in Luannan County
Based on Random Forest Approach
			
	
 
More details
Hide details
	
	
									
				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
    				
 
    			
				 
    			 
    		 		
			
																																					 
		
	 
		
 
 
		
 
 
KEYWORDS
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.