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The characteristics of rainfall runoff pollution and its driving factors in Northwest semiarid region of China - A case study of Xi'an

机译:中国西北半干旱地区降雨径流污染及其驱动因素 - 以西安为例

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摘要

With the effective control of point source pollution, rainfall runoff pollution has become the main source of water pollution in Xi'an. Understanding the characteristics and driving factors of rainfall runoff pollution would provide theoretical foundation for urban rainfall runoff pollution control. In this study, a total of 32 rainwater samples, 604 roof runoff samples and 608 road runoff samples obtained from literature and a total of 35 rainwater samples, 127 roof runoff samples and 70 road runoff samples collected by our group were mixed to analyze the rainfall runoff pollution from 2008 to 2019. The Mann-Kendall and Logarithmic Mean Divisia Index (LMDI) method were used to determine the trend of pollution and the driving factors of water quality changes. The results showed that the major pollutant from rainwater was nitrogen, while the main pollutants from roof and road runoff were COD and SS. The rainwater quality during the study period was "clean to slightly polluted". The roof runoff quality of most years (67%) was "clean to slightly polluted". The road runoff quality was poor: 22% was "moderately polluted", and 45% was "heavily polluted". The concentration of pollutants except COD in rainwater showed a decreasing trend, while the trend of pollutants in roof and road runoff was not completely consistent with that in rainwater. NH_3-N showed strong positive correlation with TN in roof runoff, which indicated common sources of these pollutants. There was a significant correlation between SS and COD in road runoff, and between SS and TP in roof runoff, suggesting SS was an important carrier of COD and TR Technology innovation was the dominant factor affecting water quality, followed by industrial structure. Economic development and population scale contribute negatively to water quality improvement, and there was a sharp increase in the population scale effect in 2017.
机译:随着对点源污染的有效控制,降雨径流污染已成为西安水污染的主要来源。了解降雨径流污染的特点和驾驶因素将为城市降雨径流污染控制提供理论基础。在这项研究中,总共32个雨水样品,604个屋顶径流样本和从文献中获得的608道路径流样本,总共35个雨水样品,127个屋顶径流样本和我们组收集的70个道路径流样本被混合,分析降雨2008年至2019年的径流污染。Mann-Kendall和对数平均Divisia指数(LMDI)方法用于确定污染趋势和水质变化的驾驶因素。结果表明,雨水的主要污染物是氮,而屋顶和道路径流的主要污染物是COD和SS。研究期间的雨水质量是“清洁到略微污染”。大多数屋顶径流质量(67%)是“干净的略有污染”。道路径流质量差:22%的“中度污染”,45%是“严重污染”。除雨水中鳕鱼以外污染物的浓度表现出降低趋势,而屋顶和道路径流污染物的趋势并不完全一致地与雨水中的趋势。 NH_3-N与屋顶径流中的TN显示出强烈的正相关,这表明这些污染物的常见来源。道路径流的SS和COD之间存在显着的相关性,在屋顶径流中的SS和TP之间,建议SS是COD和TR技术创新的重要载体是影响水质的主要因素,其次是产业结构。经济发展和人口规模对水质改善产生了负面影响,2017年人口规模效应急剧增加。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第jul15期|138384.1-138384.8|共8页
  • 作者单位

    State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China Xi'an University of Technology Xi'an 710048 China;

    State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China Xi'an University of Technology Xi'an 710048 China;

    Northwest Engineering Corporation Limited the Power Construction Corporation of China China;

    State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China Xi'an University of Technology Xi'an 710048 China;

    Northwest Engineering Corporation Limited the Power Construction Corporation of China China;

    Northwest Engineering Corporation Limited the Power Construction Corporation of China China;

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

    Rainfall runoff; Pollution assessment; Trend; Logarithmic Mean Divisia Index (LMDI);

    机译:降雨径流;污染评估;趋势;对数均值索引(LMDI);

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