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基于层次聚类法和主成分分析法的铜陵市大气降尘污染元素来源解析研究 被引量:22

Sources Analysis of Dustfall in Tongling City Based on Hierarchical Cluster Analysis and Principal Component Analysis Methods
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摘要 本文采用层次聚类法和主成分分析法对有色金属矿山城市-铜陵市的大气降尘中污染元素,主要是重金属元素的来源进行了识别,并分析了各来源所占的比例。结果显示,铜陵市大气降尘中污染物主要来源于冶金和采矿,其次为燃煤、交通和土壤扬尘等,其贡献率分别为冶金源+采矿源43.29%,燃煤源32.23%,交通源和土壤源10.53%,其他源13.94%。因此,优先控制冶金尘、采矿尘和燃煤尘,可以有效降低铜陵市大气降尘中污染元素的含量。 The hierarchical cluster analysis and principal component analysis methods were used to identify the pollution sources of dustfall in Tongling City,an important mining city in East China. The results showed that there were three sources as the main contributors for the dustfall in Tongling city. The main sources are the smelting dustfall,mining dustfall and coal combustion dustfall. About 43.29% of the total concentration of pollution elements came from the smelting and mining processes,32.23% came from the coal combustion,the contribution of blown soil and motor vehicle emission was about 10.53%,and the rest 13.94% contamination came from the other sources. Controlling the smelting dust,mining dust,and coal combustion dust could reduce the concentration of pollution elements in the dustfall effectively in Tongling City.
出处 《地质论评》 CAS CSCD 北大核心 2010年第2期283-288,共6页 Geological Review
基金 安徽省优秀青年科技基金资助项目(编号08040106907 04045063) 安徽省科技攻关计划项目(编号08010302200) 中国地质调查局项目(编号\[2004\]012)的成果
关键词 大气降尘 层次聚类法 主成分分析法 来源解析 铜陵市 dustfall hierarchical cluster analysis principal component analysis sources analysis Tongling city
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