天津农学院学报 ›› 2026, Vol. 33 ›› Issue (1): 81-90.doi: 10.19640/j.cnki.jtau.2026.01.015

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新安江上游流域不同水期污染物来源解析

栾本杰, 王江宇, 霍志国, 王艾通信作者   

  1. 天津农学院 水利工程学院,天津 300392
  • 收稿日期:2025-03-06 出版日期:2026-02-28 发布日期:2026-02-05
  • 通讯作者: 王艾(1987—),女,副教授,博士,主要从事流域非点源污染等方面的研究。E-mail:aixin198765@126.com。
  • 作者简介:栾本杰(1999—),男,硕士在读,主要从事水污染源解析方面的研究。E-mail:luanbenjie@163.com。
  • 基金资助:
    国家自然科学基金项目(52109062)

Source apportionment of pollutants in different water seasons in the upper reach of Xin’an River Basin

Luan Benjie, Wang Jiangyu, Huo Zhiguo, Wang AiCorresponding Author   

  1. College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin 300392, China
  • Received:2025-03-06 Online:2026-02-28 Published:2026-02-05

摘要: 新安江水库是中国长三角地区的战略水源地,是国内目前重要的优质水源地之一。实测数据分析显示,新安江上游部分水质指标达不到饮用水标准。为明确新安江流域不同水质指标的污染来源,本文基于2002—2020年间8个水质监测站11项水质指标共计13 189条逐月数据,采用绝对主成分-多元线性回归(APCS-MLR)方法,对不同水期(丰水期、平水期、枯水期)各项水质指标的污染来源进行定量解析。结果表明,新安江上游的主要超标污染物为总氮(TN),其主要污染源为农业面源和工业源。其中,丰水期和枯水期TN主要受农业面源影响,贡献率分别为28.8%和35.8%;而在平水期,TN主要来源于工业源,贡献率为49.7%。与TN相似,其他污染物来源亦存在水期差异性,表明针对不同时期应采取差异化的水环境治理措施。本研究结果有助于明确流域内的污染物来源,对推进水污染防治具有重要的参考价值,可为区域水环境保护和管理提供科学依据。

关键词: 新安江流域, 水期, APCS-MLR, 污染源解析

Abstract: The Xin’an Reservoir is a strategic water source in the Yangtze River Delta region of China, and it is also a rare high-quality water resource. Analysis of monitoring data reveals that specific water quality parameters in this region cannot reach the drinking water standard. To identify pollution sources associated with various water quality parameters in the study area, this study analyzed 13 189 monthly data of 11 water quality parameters from 8 monitoring stations between 2002 and 2020. By using the Absolute Principal Component Scores-Multiple Linear Regression(APCS-MLR)method, a quantitative analysis of the pollution sources in different water periods was carried out. The results demonstrated that total nitrogen(TN)was the primary pollutant exceeding the standard in the upper reaches of Xin’an River basin, with agricultural non-point sources and industrial emissions identified as dominant contributors. During the wet season and the dry season, TN was mainly affected by agricultural non-point sources and industrial sources, with contribution rates of 28.8% and 35.8% respectively. While during the normal season, TN mainly came from industrial sources, with a contribution rate of 49.7%. Similar to TN, other pollutants also have different sources in different water periods. Therefore, different measures should be adopted to improve the water environment in different periods. This study provides critical insights for pollution source identification and watershed management, offering scientific support for developing targeted water quality protection strategies in the study area.

Key words: : Xin’an River Basin;, water season, APCS-MLR, source apportionment of pollutants

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