文章基本信息

标题：Apportionment of Air Pollution by Source at a French Urban Site
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作者：Marie Chavent ; Hervé Guégan ; Vanessa Kuentz 等
期刊名称：Case Studies in Business, Industry and Government Statistics
印刷版ISSN：2152-372X
出版年度：2007
卷号：1
期号：2
页码：119-129
出版社：Bentley University
摘要：The development of air quality control strategies is a wide preoccupation for human health. In order to achieve this purpose, air pollution sources have to be accurately identified and quantified. This case study is part of a scientific project initiated by the French ministry of Ecology and Sustainable Development. Measurements of chemical composition data for particles have been performed at a French urban site. The work presented in this paper splits into two main steps. In the first one, the identification of the source profiles is achieved by a Principal Component based Factor Analysis (FA), followed by a rotation technique. Then, in the second step, a receptor modeling approach (using Positive Matrix Factorization as an estimation method) allows us to evaluate the apportionment of particles by source. The results from these two statistical methods have enabled us to characterize and apportion fine particulate matter emissions by five sources. The exposition is accessible to readers with an intermediate knowledge of statistics; an exposure to factor and principal components analyses is useful but not strictly necessary.稞