Source Apportionment of PM10 at an Urban Site of a South Asian Mega City

作者：Shahid Imran^*; Alvi Muhammad Usman; Shahid Muhammad Zeeshaan; Alms Khan; Chishtie Farrukh

来源：Aerosol and Air Quality Research, 2018, 18(9): 2498-2509.

DOI：10.4209/aaqr.2017.07.0237

• Particulate matter
• Air pollution
• Urban air quality
• Elemental analysis
• Source apportionment
• Positive Matrix Factorization

In the present study, analysis and source apportionment of the elemental composition of PM10 was conducted in the urban atmosphere of Karachi. Trace elements such as Ni, Ba, Cd, Ca, Mg, Cr, Mn, Fe, Co, Cu, Sr and Ti were measured. The PM10 concentration ranged from 255 mu g m(-)(3) to 793 mu g m(-3), with an average of 438 +/- 161 mu g m(-3). Among the various elements analyzed, concentrations of Ca, Al and Fe were the highest (> 10000 ng m(-3)), followed by Mg and S (> 1000 ng m(-3)). Elements such as Zn, P, Cu, Pb, Mn, Ti, Sr and Ba demonstrated medium concentrations (> 100 ng m(-3)), whereas the lowest concentrations were found for elements such as Cr, Ni and Se (> 10 ng m(-3)). The Positive Matrix Factorization (PMF) model identified five possible factors that contributed to PM10, namely, biomass burning, coal combustion, resuspended road/soil dust, vehicular emissions and industrial dust. Industrial dust was the highest contributor (23.2%) to PK10 followed by Biomass burning (23%), Vehicular emissions (22.2%), Coal combustion (21.7%) and Re-suspended dust (9.9%). A strong positive correlation (R-2 = 0.98) was observed between the model predicted PK10 mass and the gravimetrically measured mass collected on filters.

• 出版日期2018-9