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Surface water quality assessment based on the Integrated Water Quality Index in the Maozhou River basin, Guangdong, China

机译:中国广东省茂州河流域综合水质指数的地表水质评价

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摘要

Rivers are a vital component of both urban and rural aquatic ecosystems, and the rapidly increasing pollution in rivers severely threatens the security of these ecosystems. In this study, the surface water quality in the Maozhou River basin, Guangdong Province, China, was assessed from 2018 to 2020 using multivariate statistical techniques and the Integrated Water Quality Index (IWQI). In addition, spatial trends in surface water quality were studied using a geographic information system. The results indicated that the water quality in 82.17% of the studied section met the Class V standard for surface water quality, with IWQI values ranging from 12.157 to 3.650. The surface water quality was clustered into eight groups and further divided into unsuitable (low quality) and suitable (acceptable quality) according to standard surface water quality thresholds (China in Environmental quality standards for surface water, 2002). Four groups (G1, G2, G3, and G4) were classified as unsuitable, because they fell short of the Class V standard for surface water quality. In these groups, industrial sewage, endogenous pollution, domestic sewage, and rainfall runoff, were the primary sources of pollution, and the main background pollutants for the water quality target of the functional zones were COD, NH3-N, TP, and LAS. The other four groups were classified as suitable. In these groups, endogenous pollution and rainfall runoff were the primary sources of pollution, and the main background pollutants for the water quality target of the functional zones were NH3-N and TP. Among them, NH3-N and LAS were recognized as responsive and sensitive to the surface water quality and spatio-temporal variability. Owing to pollution treatment and management measures undertaken by the Chinese government, the black-odorous water in the Maozhou River basin has disappeared, and the water quality in the Maozhou River basin has been maintained at the "medium and good" level. However, the surface water quality in the estuary region and the southwest tributary in the basin requires further improvement. This calls for further efforts to improve surface water quality and to properly deal with various sources of pollution in the watershed. This combined method has proved to be effective for surface water quality evaluation and management at river or basin scales. The results of this work are expected to provide a scientific foundation for aquatic ecosystem management and planning.
机译:河流是城市和农村水生生态系统的重要组成部分,河流迅速造成的污染严重威胁着这些生态系统的安全性。在这项研究中,中国广东省茂州河流域的地表水质从2018年到2020年使用多元统计技术和综合水质指数(IWQI)。此外,使用地理信息系统研究了地表水质的空间趋势。结果表明,82.17%的研究部分的水质达到了地表水质的V级标准,IWQI值范围从12.157到3.650。将地面水质聚集成八组,并根据标准地表水质阈值(中国环境水环境质量标准,2002年中国环境质量标准)进一步分为不合适(低质量)和合适的(可接受的质量)。四组(G1,G2,G3和G4)被归类为不合适的,因为它们缩短了表面水质的V级标准。在这些群体中,工业污水,内源性污染,国内污水和降雨径流,是主要的污染源,而功能区水质目标的主要背景污染物是COD,NH3-N,TP和LAS。另外四组被归类为合适的。在这些群体中,内源性污染和降雨径流是主要的污染源,并且功能区水质目标的主要背景污染物是NH3-N和TP。其中,NH3-N和LA被认为是响应性和对地表水质和时空变异性的敏感性。由于中国政府所开展的污染处理和管理措施,毛州河流域的黑色臭氧水已经消失,毛州河流域的水质保持在“中等和良好”的水平。然而,盆地的地表水质和盆地中的西南支流需要进一步改善。这要求进一步努力提高地表水质,并妥善处理流域各种污染源。已证明这种组合方法对于河流或盆地的地表水质评估和管理是有效的。预计这项工作的结果将为水生生态系统管理和规划提供科学基础。

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  • 来源
    《Environmental earth sciences》 |2021年第10期|368.1-368.16|共16页
  • 作者单位

    CCCC First Highway Consultants Co Ltd 63 Technol Second Rd Xian 710075 Shaanxi Peoples R China|Xian Zhongjiao Environm Engn Co Ltd 205 Technol Four Rd Xian 710065 Shaanxi Peoples R China;

    CCCC First Highway Consultants Co Ltd 63 Technol Second Rd Xian 710075 Shaanxi Peoples R China|Xian Zhongjiao Environm Engn Co Ltd 205 Technol Four Rd Xian 710065 Shaanxi Peoples R China;

    CCCC First Highway Consultants Co Ltd 63 Technol Second Rd Xian 710075 Shaanxi Peoples R China|Xian Zhongjiao Environm Engn Co Ltd 205 Technol Four Rd Xian 710065 Shaanxi Peoples R China;

    CCCC First Highway Consultants Co Ltd 63 Technol Second Rd Xian 710075 Shaanxi Peoples R China|Xian Zhongjiao Environm Engn Co Ltd 205 Technol Four Rd Xian 710065 Shaanxi Peoples R China;

    CCCC First Highway Consultants Co Ltd 63 Technol Second Rd Xian 710075 Shaanxi Peoples R China|Xian Zhongjiao Environm Engn Co Ltd 205 Technol Four Rd Xian 710065 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Integrated Water Quality Index (IWQI); Multivariate statistical techniques; Geographic information system (GIS); Black-odorous water; Maozhou River basin;

    机译:综合水质指数(IWQI);多变量统计技术;地理信息系统(GIS);黑色臭氧水;毛州河流域;

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