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Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems

机译：七种水质评估方法在特征和管理严重受损的河流系统中的比较

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摘要

In the context of water resource management and pollution control, the characterization of water quality impairments and identification of dominant pollutants are of critical importance. In this study, water quality impairment was assessed on the basis of 7 hydrochemical variables that were monitored bimonthly at 17 sites in 2010 along the rural-suburban-urban portion of the Wen-Rui Tang River in eastern China. Seven methods were used to assess water quality in the river system. These methods included single-factor assessment, water quality grading, comprehensive pollution index, the Nemerow pollution index, principle component analysis, fuzzy comprehensive evaluation, and comprehensive water quality identification index. Our analysis showed that the comprehensive water quality identification index was the best method for assessing water quality in the Wen-Rui Tang River due to its ability to effectively characterize highly polluted waters with multiple impairments. Furthermore, a guideline for the applications of these methods was presented based on their characteristics and efficacy. Results indicated that the dominant pollutant impairing water quality was total nitrogen comprised mainly of ammonium. The temporal variation of water quality was closely related to precipitation as a result of dilution. The spatial variation of water quality was associated with anthropogenic influences (urban, industrial, and agriculture activities) and water flow direction (downstream segments experiencing cumulative effects of upstream inputs). These findings provide valuable information and guidance for water pollution control and water resource management in highly polluted surface waters with multiple water quality impairments in areas with rapid industrial growth and urbanization.
机译：在水资源管理和污染控制的背景下，表征水质损害和识别主要污染物至关重要。在这项研究中，水质损害评估是基于2010年在中国东部温瑞汤河的农村－郊区－城市部分沿线的17个站点每两个月进行监测的7个水化学变量进行的。使用了七种方法来评估河流系统中的水质。这些方法包括单因素评估，水质分级，综合污染指数，Nemerow污染指数，主成分分析，模糊综合评价和综合水质识别指数。我们的分析表明，综合水质识别指数是温瑞唐河水质评估的最佳方法，因为它能够有效地表征具有多种损害的高污染水域。此外，根据这些方法的特性和功效提出了应用这些方法的指南。结果表明，影响水质的主要污染物是总氮，主要为铵。稀释导致水质的时间变化与降水密切相关。水质的空间变化与人为影响（城市，工业和农业活动）和水流方向（下游部分经历上游输入的累积影响）有关。这些发现为工业快速增长和城市化地区水质受到严重损害的高污染地表水的水污染控制和水资源管理提供了有价值的信息和指导。

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  • 来源
    《Environmental Monitoring and Assessment》 |2016年第1期|15.1-15.16|共16页
  • 作者

    Ji Xiaoliang; Dahlgren Randy A.; Zhang Minghua;

  • 作者单位

    Wenzhou Med Univ, Inst Wenzhou Appl Technol Environm Res, Wenzhou 325035, Peoples R China|Southern Zhejiang Water Res Inst, Wenzhou 325035, Peoples R China;

    Wenzhou Med Univ, Inst Wenzhou Appl Technol Environm Res, Wenzhou 325035, Peoples R China|Southern Zhejiang Water Res Inst, Wenzhou 325035, Peoples R China|Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA;

    Wenzhou Med Univ, Inst Wenzhou Appl Technol Environm Res, Wenzhou 325035, Peoples R China|Southern Zhejiang Water Res Inst, Wenzhou 325035, Peoples R China|Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Water quality assessment; Water quality identification index; Dominant pollutant; Wen-Rui Tang river;

    机译：水质评价水质识别指标主要污染物温文汤河;

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