ORIGINAL RESEARCH
Evaluation of Groundwater Quality, Health Risk Assessment and Prediction of Water Quality Evolution in Water Source Area of Zhangji
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1
School of Earth Sciences and Engineering, Sun Yat-Sen University, Zhuhai, 519082, China
 
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School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, 221116, China
 
 
Submission date: 2023-03-25
 
 
Final revision date: 2023-04-09
 
 
Acceptance date: 2023-04-24
 
 
Online publication date: 2023-06-09
 
 
Publication date: 2023-07-21
 
 
Corresponding author
Chenghang Zhang   

School of Earth Sciences and Engineering, Sun Yat-sen University, China
 
 
Pol. J. Environ. Stud. 2023;32(4):3905-3913
 
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ABSTRACT
Zhangji water source is related to the safe water and health of nearly 9 million people in Xuzhou. The groundwater quality standards were evaluated. In this study, the Entropy fuzzy comprehension evaluation method (EFCE) was used to analyze the groundwater quality of Zhangji water source. According to (GB/T 14848-2017), the water quality assessment results can be divided into five levels (from most suitable to least suitable). The results show that there are three areas where the groundwater quality is Class III and the rest are Class I. Moreover, according to the analysis of the health risk assessment results of drinking water sources, the increasing trend of the hazard index of fluoride and nitrite to human health in Zhangji water sources is obvious. For this reason, this paper used the Shuffle Complex Evolution Algorithm (SCE-UA) to establish a water quality evolution model for the Zhangji water source. Simulation results show that nitrate concentrations, mineralization and fluoride have not exceeded the limit in most areas of the Zhangji water source in the past five years. However, concentrations of pollutants such as nitrate are gradually approaching the Class III water limit in the Groundwater Quality Standard (GB/T 14848-2017), indicating a gradual deterioration in water quality at source, albeit a slower trend, which is influenced by human activities.
eISSN:2083-5906
ISSN:1230-1485
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