江淮水利科技Issue(3)：15-22,8.DOI:10.20011/j.cnki.JHWR.202503003
淠河总干渠水质评价及其影响因素分析
Water quality assessment and analysis of its influencing factors of the Pihe river main canal
摘要
Abstract
To reveal the spatial and temporal distribution characteristics of water quality in the Pihe river main canal and its driving mechanisms,monthly water quality monitoring data from 2021 to 2024 were collected at four cross-sections—Huoshan,Hengpaitou,Luoguan,and Jiangjunling—along the upper and lower reaches of the canal.Eight water quality parameters,in-cluding pH,DO,CODMn,COD,BOD5,NH3-N,TP,and TN,were selected.The pollution level was evaluated using the compre-hensive water quality index method,and the influences of flow and precipitation were analyzed using a structural equation model(SEM).The results showed that the average comprehensive water quality index of water quality in the Pihe river main canal was 81.90,and the water quality evaluation results were mainly concentrated in the'good'grade.In terms of spatial dis-tribution,the comprehensive water quality index value in descending order were as follows:Huoshan(83.96),Luoguan(82.43),Hengpaitou(82.24),and Jiangjunling(78.95);in terms of time distribution,the comprehensive water quality index in December and January were the highest,while the comprehensive water quality index in March was the lowest,followed by July Based on the structural equation modeling(SEM),increased precipitation significantly deteriorated water quality by intensifying pollutant inputs(β=0.488,p＜0.001).Although higher flow rates temporarily diluted pollutants(β=-0.195,p＜0.01),they concurrently degraded fundamental water conditions due to sediment resuspension(β=-0.514,p＜0.001).The overall water quality of the main canal of the Pihe river main canal was good,but there were spatial and temporal differences due to factors such as water supply and rainfall.关键词
淠河总干渠/综合水质指数法/结构方程模型/时空分布特征Key words
Pihe river main canal/comprehensive water quality index method/structural equation modeling/spatiotemporal distribution characteristics分类
资源环境引用本文复制引用
万义周,叶秀梅,吴含,钱娜,方春,郭玲玲,吴汉,柯健..淠河总干渠水质评价及其影响因素分析[J].江淮水利科技,2025,(3):15-22,8.基金项目
国家重点研发计划(2023YFD1702105-01) （2023YFD1702105-01）
安徽省高等学校科学研究项目(2023AH040131) （2023AH040131）
