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中国四川省小流域的水质评估及其时空污染源分析。

Water quality assessment and its pollution source analysis from spatial and temporal perspectives in small watershed of Sichuan Province, China.

机构信息

School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China.

Sichuan Provincial Academy of Nature Resources Sciences, Sichuan, 610015, China.

出版信息

Environ Monit Assess. 2024 Aug 28;196(9):856. doi: 10.1007/s10661-024-13017-y.

Abstract

Rapid socio-economic development has led to many water environmental issues in small watersheds such as non-compliance with water quality standards, complex pollution sources, and difficulties in water environment management. To achieve a quantitative evaluation of water quality, identify pollution sources, and implement refined management in small watersheds, this study collected monthly seven water quality indexes of four monitoring points from 2010 to 2023, and ten water quality indexes of 23 sampling points in the Shiting River and Mianyuan River which are tributaries of the Tuojiang River Basin. Then, water quality evaluation and pollution source analysis were conducted from both temporal and spatial perspectives using the Water Quality Index (WQI) method, the Absolute Principal Component Scores/Multiple Linear Regression (APCS-MLR) method, and the Positive Matrix Factorization (PMF) receptor modeling technique. The results indicated that except for total nitrogen (TN), the concentrations of other water quality indexes exhibited a decreasing trend, and all were divided into two obvious stages before and after 2016. Furthermore, the proportion of water quality grade of Good and above increased from 73.96 to 84.94% from 2010-2015 to 2016-2023, and the water quality grade of Good and above from upstream to downstream dropped from 100 to 23.33%. From the temporal scale, four and five pollution sources were identified in the first and second stages, respectively. The distinct TN pollutant is mainly affected by agricultural non-point sources (NPS), whose impact is enhanced from 17.76 to 78.31%. Total phosphorus (TP) was affected by the phosphorus chemical industry, whose contribution gradually weakened from 50.8 to 24.9%. From a spatial perspective, four and five pollution sources were identified in the upstream and downstream, respectively. Therefore, even though there are some limitations due to the data availability of water monitory and hydrology data, the proposed research framework of this study can be applied to the water environmental management of other similar watersheds.

摘要

快速的社会经济发展导致了许多小流域的水环境问题,如水质标准不达标、污染源复杂、水环境管理困难等。为了对小流域水质进行定量评价、识别污染源并实施精细化管理,本研究收集了 2010 年至 2023 年四个监测点每月的七个水质指标和湔江流域支流长滩河和绵远河 23 个采样点的十个水质指标。然后,从时间和空间两个方面,采用水质指数法(WQI)、绝对主成分得分/多元线性回归法(APCS-MLR)和正定矩阵因子分解(PMF)受体模型技术,对水质进行评价和污染源进行分析。结果表明,除总氮(TN)外,其他水质指标的浓度均呈下降趋势,且均分为 2016 年前后两个明显阶段。此外,2016-2023 年水质等级为优和良的比例从 2010-2015 年的 73.96%提高到 84.94%,上游至下游的水质等级优和良从 100%下降到 23.33%。从时间尺度来看,第一阶段和第二阶段分别识别出四个和五个污染源。明显的 TN 污染物主要受农业非点源(NPS)的影响,其影响从 17.76%增强到 78.31%。总磷(TP)受磷化工的影响,其贡献逐渐从 50.8%减弱到 24.9%。从空间角度来看,上游和下游分别识别出四个和五个污染源。因此,尽管由于水质监测和水文数据的可用性存在一些限制,但本研究提出的研究框架可以应用于其他类似流域的水环境管理。

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