PM10 Source Apportionment in Ahvaz, Iran, Using Positive Matrix Factorization

作者：Sowlat Mohammad Hossein; Naddafi Kazem^*; Yunesian Masud; Jackson Peter L; Lotfi Saeedeh; Shahsavani Abbas

来源：Clean-Soil Air Water, 2013, 41(12): 1143-1151.

DOI：10.1002/clen.201200131

• Elemental composition
• Ionic components
• PM10
• Positive Matrix Factorization
• Source apportionment

Source apportionment of particulate matter %26lt;10 mu m in diameter (PM10), having considerable impacts on human health and the environment, is of high priority in air quality management. The present study, therefore, aimed at identifying the potential sources of PM10 in an arid area of Ahvaz located in southwest of Iran. For this purpose, we collected 24-h PM10 samples by a high volume air sampler. The samples were then analyzed for their elemental (Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, K, Mg, Mn, Na, Ni, Pb, Se, Si, Sn, Sr, Li, Ti, V, Zn, Mo, and Sb) and ionic (NH4+, Cl-, NO3-, and SO42-) components using inductively coupled plasma optical emission spectrometry and ion chromatography instruments, respectively. Eight factors were identified by positive matrix factorization: crustal dust (41.5%), road dust (5.5%), motor vehicles (11.5%), marine aerosol (8.0%), secondary aerosol (9.5%), metallurgical plants (6.0%), petrochemical industries and fossil fuel combustion (13.0%), and vegetative burning (5.0%). Result of this study suggested that the natural sources contribute most to PM10 particles in the area, followed closely by the anthropogenic sources.

• 出版日期2013-12