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应用CMB模型和FA法对区域大气颗粒物的综合源解析研究
引用本文:孙伶俐,龙涛,龙一飞,侯祺棕.应用CMB模型和FA法对区域大气颗粒物的综合源解析研究[J].安全与环境学报,2008,8(6).
作者姓名:孙伶俐  龙涛  龙一飞  侯祺棕
作者单位:中国地震局地震研究所,武汉,430071;华中科技大学计算机技术学院,武汉,430074;武汉科技大学城市学院环境工程系,武汉,430083;武汉理工大学资源与环境工程学院,武汉,430070
摘    要:利用受体模型CMB法和FA法的综合解析技术,对武汉某区域的14个TSP(总悬浮颗粒物)监测点及4种主要尘源的元素组分进行定性和定量分析,识别TSP的主要污染源及各源对环境污染的贡献率.将两种方法所得解析结果相互验证,得到和实际情况比较符合的结论.CMB模型分析结果为: A区域TSP主要污染源为土壤尘源(贡献率为54.09%)、交通道路尘源(30.47%)和煤烟尘源(9.33%); B区域主要污染尘源为土壤尘源(41.65%)和建筑尘源(19.05%).对TSP元素组分数据进行FA法分析,结果为: 该区域TSP污染源约有5种,分别为建筑尘源(57.524%)、土壤尘源(19.46%)、煤烟尘源(14.50%)、交通道路尘源(6.74%)和钢铁尘源(0.95%).CMB法和FA法综合解析结果与研究区域的实际情况基本吻合,主要污染源为土壤尘源、建筑尘源和交通道路尘源.根据解析结果及研究区域的TSP实际污染特征,有针对性地提出各污染源控制对策.

关 键 词:大气环境  源解析  CMB模型  FA  贡献率

Source apportionment of atmospheric particulate with an area in Wuhan City by using CMB receptor model and factor analysis
SUN Ling-li,LONG Tao,LONG Yi-fei,HOU Qi-zong.Source apportionment of atmospheric particulate with an area in Wuhan City by using CMB receptor model and factor analysis[J].Journal of Safety and Environment,2008,8(6).
Authors:SUN Ling-li  LONG Tao  LONG Yi-fei  HOU Qi-zong
Institution:SUN Ling-li1,LONG Tao2,LONG Yi-fei3,HOU Qi-zong4(1 Institute of Seismology,China Earthquake Administration,Wuhan 430071,China,2 School of Computer Science , Technology,Huazhong University of Science , Technology,Wuhan 430074,3 Department of Environmental Engineering,City College,Wuhan University of Science , Technology,Wuhan 430083,4 Resource & Environmental Engineering College,Wuhan University of Technology,Wuhan 430070,China)
Abstract:The present article is aimed at introducing its authors' investigation and measurement of the total 14 suspended particles(TSP) and four kinds of pollution sources (including traffic dust,soil dust,building material dust and coal-smoking dust) in a certain area of Wuhan City. In the present research,we have applied the EPA-CMB 8.2 receptor model and factor analysis method to the analysis of the related data and calculated the TSP-element-constituent database in the area in hoping to make clear all the contr...
Keywords:FA
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