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基于主成分分析法的南四湖流域水污染物排放水平空间布局分析
引用本文:孙灵文闫中晓邵,波贾永飞.基于主成分分析法的南四湖流域水污染物排放水平空间布局分析[J].科学与管理,2013(6):88-90.
作者姓名:孙灵文闫中晓邵  波贾永飞
作者单位:[1]山东省科技发展战略研究所,济南250014 [2]山东省科学院科学决策支持重点实验室,济南250014 [3]山东师范大学人口·资源与环境学院,济南250014
基金项目:国家水体污染控制与治理科技重大专项(2009ZX07210-007)
摘    要:本文基于2007年第一次全国污染源普查数据,运用主成分分析法,对南四湖流域山东省境内的28个县市区行政单元的水污染物排放水平进行了综合评价,结果显示:滕州市的污染物排放水平明显高于流域内的其他区域,济宁市中区、邹城市、菏泽市区、曹县的污染物排放水平也较高。因此这五个县市是今后南四湖流域治污的重点。

关 键 词:主成分分析  南四湖流域  污染物排放  空间布局

Principal Component Analysis-based Study of the Spatial Distribution of Water Pollutant Emissions in Nansi Lake Basin
Authors:SUN Lingwen  YAN Zhongxiao  SHAO Bo  JIA Yongfei
Institution:1.Institute of Science and Technology for Development ofShandong, Jinan 250014; 2 scientific decision support Key Laboratory of Shandong Academy of Science, Jinan 250014 ; 3 College of Population, Resources and Environment, Shandong Normal University, Jinan 250014)
Abstract:This paper applies the Principal Component Analysis Method to evaluate the water pollutant emission levels of the 28 counties of Nansi Lake basin. Results shows that pollutant emission levels of Tengzhou city are significantly higher than other areas of the basin. Jining City, Zoucheng city, Heze city, Cao county have high emission levels of pollutants, and therefore are recognized as the key areas for pollution control in Nansi Lake basin in the future. Suggestions on the entire river basin management and pollution control measures are also put forward.
Keywords:Principal Component Analysis Method  Nansi Lake basin  Emissions  Spatial distribution
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