2012—2023年南水北调东线水源区水质演变趋势
作者:
作者单位:

(1.河海大学水文水资源学院,江苏 南京210098;2.江苏省水文水资源勘测局泰州分局,江苏 泰州225300;3.江苏省水文水资源勘测局扬州分局,江苏 扬州225007 )

作者简介:

衣鹏(1985—),男,教授,博士,主要从事水环境化学研究。E-mail:20130006@hhu.edu.cn

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中图分类号:

X522

基金项目:

江苏省“333高层次人才培养工程”项目(2022322002);江苏省水利科技项目(2022030)


Evolution trend of water quality in water source area along eastern route of South-to-North Water Diversion Project from 2012 to 2023
Author:
Affiliation:

(1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;2.Taizhou Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau, Taizhou 225300, China;3.Yangzhou Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau, Yangzhou 225007, China )

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    摘要:

    为全面了解南水北调东线工程通水以来水源区水质状况及其演变趋势,基于水质指数(WQI)评价法,结合Mann-Kendall趋势检验法和主成分分析法,对2012—2023年东线工程水源区6个监测断面水质演变趋势及主要污染成分进行分析,并基于逐步多元线性回归分析方法识别了影响水源区WQI的关键指标,构建了最小水质指数模型,同时采用2023年WQI数据评估了该模型的应用可行性。结果表明:WQI年均值总体呈现增大趋势,2012—2017年WQI平均值为38.0,水质评价等级为较差,2018—2023年WQI平均值为67.4,水质明显提升并持续处于良好等级;水源区水体污染物类型主要为有机物质和氮磷营养盐,农业种植产生的农业面源污染、工业废水以及未经处理的生活污水的直接排放造成的点源污染是污染物的主要来源,加强点源、面源污染防治是解决水源区水环境问题的根本途径;最小水质指数模型具有较好的水质评价性能,有助于节约监测成本和提升评价效率。

    Abstract:

    To comprehensively understand the water quality status and evolution trend in the water source area since the operation of the eastern route of the South-to-North Water Diversion Project (SNWDP-ER), the water quality index (WQI) assessment method, the Mann-Kendall trend test, and principal component analysis were employed to analyze the evolution trend of water quality and major pollutants in six monitoring sections of the water source area along SNWDP-ER from 2012 to 2023. Based on the stepwise multiple linear regression analysis method, the key indicators affecting the WQI values of the water source area were identified, and a minimum water quality index model was constructed. The application feasibility of this model was evaluated using the WQI data of 2023. The results indicate that the annual average value of WQI shows an overall increasing trend. From 2012 to 2017, the average value of WQI is 38.0, indicating a poor water quality assessment status. The average value of WQI from 2018 to 2023 is 67.4, and the water quality has significantly improved and remained at a good level continuously. The types of water pollutants in the water source area are mainly organic substances and nitrogen and phosphorus nutrients. Agricultural non-point source pollution generated by agricultural planting, industrial wastewater, and point source pollution caused by the direct discharge of untreated domestic sewage are the main sources of pollutants. Strengthening the prevention and control of point source and non-point source pollution is the fundamental way to improve water environment problems in water source areas. The minimum water quality index model has better performance in water quality assessment, which is helpful in saving monitoring costs and improving assessment efficiency.

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衣鹏,纪源,钱睿智,等.2012—2023年南水北调东线水源区水质演变趋势[J].河海大学学报(自然科学版),2025,53(3):40-49.(YI Peng, JI Yuan, QIAN Ruizhi, et al. Evolution trend of water quality in water source area along eastern route of South-to-North Water Diversion Project from 2012 to 2023[J]. Journal of Hohai University (Natural Sciences),2025,53(3):40-49.(in Chinese))

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  • 收稿日期:2024-07-12
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  • 在线发布日期: 2025-05-26
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