首页> 外文期刊>Fresenius Environmental Bulletin >ASSESSMENT OF SPATIO-TEMPORAL PATTERNS OF WATER QUALITY AND APPORTIONMENT OF POLLUTION SOUECES IN THE WATER SUPPLY WATERSHED OF BEJING, CHINA
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ASSESSMENT OF SPATIO-TEMPORAL PATTERNS OF WATER QUALITY AND APPORTIONMENT OF POLLUTION SOUECES IN THE WATER SUPPLY WATERSHED OF BEJING, CHINA

机译:北京市自来水流域水质时空格局评价及污染源分配

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摘要

In this study, 1376 samples for 12 water quality parameters were obtained from 50 monitoring sites across Beijing City's drinking water supply watershed from 2004 to 2010. Multivariate statistical techniques and a Geographic Information System (GIS) were used to explore the spatial -temporal variations of water quality and investigate the primary pollution sources. Moran's I analysis indicated that spatial autocorrelation had little impact on the explanation of spatial variation of water quality. Kruskal-Wallis test and coefficients of variation showed that total nitrogen, nitrate, nitrite, and total phosphorus had significant temporal and spatial differences. The factor analysis indicated that the pollution degree was mainly attributed to agricultural activities, rural domestic sewage, and mining tailings runoff. Before and after rainy season, river conditions were influenced by mixed source pollution (agricultural overland flow, mining overland flow, and rural domestic sewage). During rainy season, non-point source pollution (agricultural runoff) was the only dominate cause of water pollution. Although the importance of parameters to river conditions changed along with seasons, total nitrogen and nitrate always had the greatest impact on water quality variation and furthermore their concentrations exceeded lowest surface water quality standard. Thus, suggestions regarding design and allocation of Best Management Practices (BMPs) for reducing nitrogen pollutant yields from the drinking water supply watershed of Beijing are presented.
机译:在这项研究中,从2004年至2010年从北京市饮用水供水流域的50个监测点获得了1376个12个水质参数的样本。采用多元统计技术和地理信息系统(GIS)来研究北京的饮用水水质时空变化。水质并调查主要污染源。 Moran's I分析表明,空间自相关对水质空间变化的解释影响很小。 Kruskal-Wallis检验和变异系数表明,总氮,硝酸盐,亚硝酸盐和总磷具有明显的时空差异。因子分析表明,污染程度主要归因于农业活动,农村生活污水和采矿尾矿径流。雨季前后,河流条件受到混合源污染(农业陆上流量,采矿陆上流量和农村生活污水)的影响。在雨季,面源污染(农业径流)是造成水污染的唯一主要原因。尽管参数对河流状况的重要性随季节而变化,但总氮和硝酸盐始终对水质变化影响最大,而且其浓度超过最低地表水质标准。因此,提出了有关设计和分配最佳管理实践(BMP)的建议,以减少北京市饮用水供应流域的氮污染。

著录项

  • 来源
    《Fresenius Environmental Bulletin》 |2014年第2期|408-417|共10页
  • 作者单位

    Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130102,China,College of Resources, Environment & Tourism, Capital Normal University, Beijing 100048, China;

    College of Resources, Environment & Tourism, Capital Normal University, Beijing 100048, China;

    College of Resources, Environment & Tourism, Capital Normal University, Beijing 100048, China;

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

    Water quality; temporal and spatial variations; factor analysis; Miyun Reservoir;

    机译:水质;时空变化;因子分析;密云水库;

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