Characterization, source identification and apportionment of selected metals in TSP in an urban atmosphere.
To understand the metal distribution characteristics in the atmosphere of urban Islamabad, total suspended particulate (TSP) samples were collected on daily 12 h basis, at Quaid-i-Azam University campus, using high volume sampler. The TSP samples were treated with HNO(3)/HClO(4) based wet digestion method for the quantification of eight selected metals; Fe, Zn, Pb, Mn, Cr, Co, Ni and Cd by FAAS method. The monitoring period ran from June 2001 to January 2002, with a total of 194 samples collected on cellulose filters. Effects of different meteorological conditions such as temperature, relative humidity, wind speed and wind direction on selected metal levels were interpreted by means of multivariate statistical approach. Enhanced metal levels for Fe (930 ng/m(3)), Zn (542 ng/m(3)) and Pb (210 ng/m(3)) were found on the mean scale while Mn, Cr, Co and Ni emerged as minor contributors. Statistical correlation study was also conducted and a strong correlation was observed between Pb-Cr (r=0.611). The relative humidity showed some significant influence on atmospheric metal distribution while other meteorological parameters showed weak relationship with TSP metal levels. Regarding the origin of sources of heavy metals in TSP, the statistical procedure identified three source profiles; automobile emissions, industrial/metallurgical units, and natural soil dust. The metal levels were also compared with those reported for other parts of the world which showed that the metal levels in urban atmosphere of Islamabad are in exceedence than those of European industrial and urban sites while comparable with some Asian sites.
Shah
Munir H
MH
Department of Chemistry, Quaid-i-Azam University, Islamabad, Pakistan.
Shaheen
N
N
Jaffar
M
M
D000388:Air / Q000032:analysis / Q000592:standards; D004784:Environmental Monitoring / Q000379:methods*; D019216:Metals, Heavy / Q000032:analysis*; D008685:Meteorological Concepts; D015999:Multivariate Analysis; D010154:Pakistan; D052638:Particulate Matter / Q000032:analysis*; D012621:Seasons; D014507:Urbanization
D019216:Metals, Heavy; D052638:Particulate Matter