TY - JOUR
T1 - Source Apportionment of PM10 at an Urban Site of a South Asian Mega City
AU - Shahid, Imran
AU - Alvi, Muhammad Usman
AU - Shahid, Muhammad Zeeshaan
AU - Alam, Khan
AU - Chishtie, Farrukh
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2018
Y1 - 2018
N2 - In the present study, analysis and source apportionment of the elemental composition of PM 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 PM concentration ranged from 255 μg m to 793 μg m, with an average of 438 ± 161 μg m. Among the various elements analyzed, concentrations of Ca, Al and Fe were the highest (> 10000 ng m), followed by Mg and S (> 1000 ng m). Elements such as Zn, P, Cu, Pb, Mn, Ti, Sr and Ba demonstrated medium concentrations (> 100 ng m), whereas the lowest concentrations were found for elements such as Cr, Ni and Se (> 10 ng m). The Positive Matrix Factorization (PMF) model identified five possible factors that contributed to PM, namely, biomass burning, coal combustion, resuspended road/soil dust, vehicular emissions and industrial dust. Industrial dust was the highest contributor (23.2%) to PM followed by Biomass burning (23%), Vehicular emissions (22.2%), Coal combustion (21.7%) and Re-suspended dust (9.9%). A strong positive correlation (R = 0.98) was observed between the model predicted PM mass and the gravimetrically measured mass collected on filters.
AB - In the present study, analysis and source apportionment of the elemental composition of PM 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 PM concentration ranged from 255 μg m to 793 μg m, with an average of 438 ± 161 μg m. Among the various elements analyzed, concentrations of Ca, Al and Fe were the highest (> 10000 ng m), followed by Mg and S (> 1000 ng m). Elements such as Zn, P, Cu, Pb, Mn, Ti, Sr and Ba demonstrated medium concentrations (> 100 ng m), whereas the lowest concentrations were found for elements such as Cr, Ni and Se (> 10 ng m). The Positive Matrix Factorization (PMF) model identified five possible factors that contributed to PM, namely, biomass burning, coal combustion, resuspended road/soil dust, vehicular emissions and industrial dust. Industrial dust was the highest contributor (23.2%) to PM followed by Biomass burning (23%), Vehicular emissions (22.2%), Coal combustion (21.7%) and Re-suspended dust (9.9%). A strong positive correlation (R = 0.98) was observed between the model predicted PM mass and the gravimetrically measured mass collected on filters.
UR - http://hdl.handle.net/10754/630627
UR - http://www.aaqr.org/doi/10.4209/aaqr.2017.07.0237
UR - http://www.scopus.com/inward/record.url?scp=85055575944&partnerID=8YFLogxK
U2 - 10.4209/aaqr.2017.07.0237
DO - 10.4209/aaqr.2017.07.0237
M3 - Article
SN - 1680-8584
VL - 18
SP - 2498
EP - 2509
JO - Aerosol and Air Quality Research
JF - Aerosol and Air Quality Research
IS - 9
ER -