Source Identification of PCDD/Fs for Various Atmospheric Environments in a Highly Industrialized City

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• 作者：Wei-Shan Lee ; Guo-Ping Chang-Chien ; Lin-Chi Wang ; Wen-Jhy Lee ; Perng-Jy Tsai ; Kuen-Yuh Wu ; and Chieh Lin
• 刊名：Environmental Science & Technology
• 出版年：2004
• 出版时间：October 1, 2004
• 年：2004
• 卷：38
• 期：19
• 页码：4937 - 4944
• 全文大小：206K
• 年卷期：v.38,no.19(October 1, 2004)
• ISSN：1520-5851

文摘

This study set out to identify possible PCDD/F emissionsources for different atmospheric environments in a highlyindustrialized city located in southern Taiwan. Wecollected stack flue gas samples from five main stationaryemission sources of the municipal solid waste incinerators(MSWIs), medical waste incinerators (MWIs), electricarc furnaces (EAFs), secondary aluminum smelters (ALSs),and sinter plants to assess the characteristics of theirPCDD/F emissions. For mobile sources, congener profilesreported in U.S. EPA's database for unleaded gas-fueledvehicles (UGFV) and diesel-fueled vehicles (DFV) weredirectly adopted owing to lack of local data. The congenerprofiles of the 2,3,7,8-substituted PCDD/Fs were selectedas the signatures of these PCDD/F emission sources. Weconducted PCDD/F samplings on atmospheric environmentsof four categories, including background, residential area,traffic area, and industrial area. Through PCA andcluster analyses, we found that traffic areas were mostinfluenced by PCDD/F emissions from UGFV and DFV, whilethose of industrial areas were mainly influenced bymetallurgical facilities and MWIs. The above results werefurther examined by using the methodology of theindicatory PCDD/Fs. We confirmed that traffic areas werecontributed by traffic sources, but industrial areas weresimply affected by metallurgical facilities rather than MWIs.In conclusion, besides the use of PCA and clusteranalyses, the methodology of the indicatory PCDD/Fsshould be conducted for further validation in order to preventmisjudgment.