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作 者:付保荣[1] 苏杰[1] 吴丹[1] 李法云[1] 徐成斌[1] 谢轶[2] 张峥[2]
机构地区:[1]辽宁大学环境学院,辽宁沈阳110036 [2]辽宁省环境监测实验中心,辽宁沈阳110036
出 处:《水资源保护》2011年第6期5-8,共4页Water Resources Protection
基 金:国家水体污染控制与治理科技重大专项(2008ZX07526-006);辽宁省科技攻关基金(2005229003);辽宁省教育厅重点实验室项目(2009S044)
摘 要:采用聚类分析和主成分分析等多元统计方法对辽河流域的水环境时空差异性进行分析评价。依据流域内4条主要河流(辽河、浑河、太子河和大辽河)的25个监测点2000—2009年资料,监测点分为重度污染区、中度污染区和水质清洁区,反映不同采样点的水质水平和污染程度。通过重度污染区和中度污染区的各个站点主成分综合得分的计算,得到辽河流域水质总体优劣状况的排序为:太子河,大辽河,浑河,辽河;2009年这4条河的主成分综合得分均为最小值。The multivariate statistical methods,including cluster analysis and principal component analysis,were used to evaluate the temporal and spatial differences of the water environment in the Liaohe Basin in Liaoning Province.The monitoring data from 25 monitoring sites from 2000 to 2009 for the major rivers,including the Liaohe River,Hunhe River,Taizihe River,and Large Liaohe River,were selected.The monitoring sites were classified as seriously polluted areas,moderately polluted areas,and non-polluted areas,which represent different levels of water quality and water pollution.Through the calculation of the composite scores of the principal components of the sites in the seriously polluted areas and the moderately polluted areas,the descending order of the water quality of the rivers in the Liaohe Basin was determined as follows: the Taizihe River,Large Liaohe River,Hunhe River,and Liaohe River.All the composite scores of the principal components for the four rivers in 2009 were the lowest.
分 类 号:X824[环境科学与工程—环境工程]
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