Application of positive matrix factorization in characterization of PM₁₀ and PM_2.5 emission sources at urban roadside

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• 作者：B. Srimuruganandam ; S.M. Shiva Nagendra ; ^{snagendra@iitm.ac.in}
• 关键词：Particulate matter ; Source apportionment ; PMF model ; Motor vehicles ; Marine aerosols ; Secondary PM
• 刊名：Chemosphere
• 出版年：2012
• 期刊代码：15_00456535
• 类别：env
• 出版时间：June, 2012
• 卷：88
• 期：1
• 页码：120-130
• 文件大小：2276 K

摘要

The 24-h average coarse (PM₁₀) and fine (PM_2.5) fraction of airborne particulate matter (PM) samples were collected for winter, summer and monsoon seasons during November 2008-April 2009 at an busy roadside in Chennai city, India. Results showed that the 24-h average ambient PM₁₀ and PM_2.5 concentrations were significantly higher in winter and monsoon seasons than in summer season. The 24-h average PM₁₀ concentration of weekdays was significantly higher (12-30%) than weekends of winter and monsoon seasons. On weekends, the PM_2.5 concentration was found to slightly higher (4-15%) in monsoon and summer seasons. The chemical composition of PM₁₀ and PM_2.5 masses showed a high concentration in winter followed by monsoon and summer seasons.

The U.S.EPA-PMF (positive matrix factorization) version 3 was applied to identify the source contribution of ambient PM₁₀ and PM_2.5 concentrations at the study area. Results indicated that marine aerosol (40.4%in PM₁₀ and 21.5%in PM_2.5) and secondary PM (22.9%in PM₁₀ and 42.1%in PM_2.5) were found to be the major source contributors at the study site followed by the motor vehicles (16%in PM₁₀ and 6%in PM_2.5), biomass burning (0.7%in PM₁₀ and 14%in PM_2.5), tire and brake wear (4.1%in PM₁₀ and 5.4%in PM_2.5), soil (3.4%in PM₁₀ and 4.3%in PM_2.5) and other sources (12.7%in PM₁₀ and 6.8%in PM_2.5).