Source apportionment of river water pollution in a typical agricultural city of Anhui Province, eastern China using multivariate statistical techniques with APCS– MLR

作     者：Kai Chen Qi-meng Liu Wei-hua Peng Yu Liu Zi-tao Wang Kai Chen;Qi-meng Liu;Wei-hua Peng;Yu Liu;Zi-tao Wang

作者机构：State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal MineHuainan 232001China School of Earth and EnvironmentAnhui University of Science&TechnologyHuainan 232001China Key Laboratory of Mine Water Resource Utilization of Anhui Higher Education InstitutesSuzhou UniversitySuzhou 234000China Qinghai Institute of Salt LakesChinese Academy of SciencesXining 810008China 

出 版 物：《Water Science and Engineering》 (水科学与水工程（英文版）)

年 卷 期：2023年第16卷第2期

页      面：165-174页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 081104[工学-模式识别与智能系统] 0815[工学-水利工程] 0903[农学-农业资源与环境] 0901[农学-作物学] 0714[理学-统计学（可授理学、经济学学位）] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the 2021 Graduate Science Research Project of the Anhui Higher Education Institutions(Grant No.YJS20210375) the Natural Science Research Project of Universities in Anhui Province(Grant No.KJ2020ZD64) the Natural Science Foundation of Anhui Province(Grant No.2008085MD122) the Outstanding Young Talents in Higher Education Institutions of Anhui Province(Grant No.ZD2021134) the Research Development Foundation of Suzhou University(Grant No.2021fzjj28). 

主　　题：Surface water Water quality Source apportionment APCS-MLR model Huaihe river basin 

摘      要：The deterioration of the surface water environment has become a serious challenge for water resources management due to increasing anthropogenic disturbance. Water resources protection requires control of potential pollution sources. In this study, 99 water samples were collected from a river in a typical agricultural city of Anhui Province in eastern China, and these samples were analyzed in terms of pH, electrical conductivity, and the concentrations of F-, Cl-, SO42-, Na+, K+, Mg2+, Ca2+, As, Cr, Cu, Zn, and Pb. Cluster analysis, co-occurrence network analysis, and principal component analysis/factor analysis were conducted to qualitatively identify the potential sources of river water pollution in the study area. An absolute principal component score-multiple linear regression receptor model was used to quantitatively evaluate the contribution of each source to water quality parameters. The results showed that all observed water quality indices met the quality criteria specified in the Chinese drinking water standards, except for pH, ρ(F-), ρ(SO42-), and ρ(As). The heat map showed that the frequent recharge of pollutants from the tributaries during the wet season was the main reason for the deterioration of water quality. Five sources of river water pollution were identified, and their contribution ratios in a descending order were as follows: the geogenic process (24%) agricultural activities (21%) poultry farming sources (17%) domestic pollution (9%) transportation pollution (5%). Therefore, controlling pollution from agricultural activities, strengthening the regulation of livestock farming, and improving the sewage network are the recommended strategies for improving the quality of surface water resources in this area.