首页> 外文OA文献 >Factor analysis to assess pollutant source apportionment and to investigate the relationship between catchment attributes and instream water quality
【2h】

Factor analysis to assess pollutant source apportionment and to investigate the relationship between catchment attributes and instream water quality

机译:因子分析法评估污染物的来源分配并研究流域属性与河流水质之间的关系

摘要

The EU Water Framework Directive (WFD EC60/2000) requires that quality-flow compliance at a particular surface-waterudreach entail consideration of all upstream inputs, including contaminated land and groundwater contributions. Multivariateudstatistical techniques may improve our understanding of the pollutant sources affecting river quality. Aim of this study is toudanalyze the source apportionment and the groundwater contribution to the total pollutant load of Mella river. Factor Analysisud(FA) was applied to a series of water quality measurements at seven monitoring sites, located upstream, in the middle anduddownstream the groundwater recharge area of the Mella river watershed. FA results in the upstream sites were completelyuddifferent from the lowland stations that were strongly influenced by the groundwater contribution. In the upstream sites, inudfact, the major pollutant source resulted to be the contribution of the Gobbia tributary which collects the industrial loads ofudthe Val Trompia metallurgic consortium. On the other hand the groundwater was found to be the most significant pollutantudsource in the lowland sites. FA proved also useful to distinguish between sources of metals and chlorinated solvents.
机译:欧盟水框架指令(WFD EC60 / 2000)要求,在特定的地表水扩展范围内质量流合规性必须考虑所有上游输入,包括受污染的土地和地下水。多变量非统计技术可以增进我们对影响河流质量的污染物来源的了解。本研究的目的是分析梅拉河源头分配和地下水对污染物总量的贡献。因子分析法(ud)在梅拉河流域地下水补给区的上游,中部和下游的七个监测点进行了一系列水质测量。上游站点的FA结果与受地下水影响强烈的低地站完全不同。实际上,上游地区的主要污染物来源是戈比亚支流的贡献,该支流收集了瓦尔特罗皮亚冶金财团的工业负荷。另一方面,发现地下水是低地地区最重要的污染物源。事实证明,FA还有助于区分金属来源和氯化溶剂。

著录项

  • 作者

    Azzellino A.;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号