Statistical modeling of atmospheric trace metals in Lahore, Pakistan for correlation and source identification

被引：0
作者：
Muhammad Irfan Jalees
Zukhruf Asim
机构：
[1] University of Engineering and Technology,Institute of Environmental Engineering and Research
来源：
Environmental Earth Sciences | 2016年 / 75卷
关键词：
Particulate matter; Trace metals; Statistical analysis; Lahore; Source; Correlation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Heavy metals in airborne suspended particulate matter were collected on glass fiber filters from four different locations from urban atmosphere of Lahore, Pakistan. The particulate matter was analyzed for eight trace metals (Fe, Pb, Ni, Cu, Cr, Mn, Zn and As) using Atomic Absorption Spectrophotometer. Mean concentration of iron (23.08 µg/m3), lead (6.23 µg/m3), nickel (7.95 µg/m3) and zinc (15.36 µg/m3) were higher while copper (3.14 µg/m3), chromium (1.23 µg/m3), manganese (2.0 µg/m3) and arsenic (1.59 µg/m3) concentrations were low. Symmetrical (Fe, Pb, Ni, and As) and non symmetrical (Cr, Mn, Cu, and Zn) distribution was observed. Spearman’s correlation showed similar sources while Analysis of Variance (ANOVA) data justified some relationship between sampling sites and trace metals. Principal component analysis and cluster analysis data identified five different sources i.e. metallurgical operations, industrial emissions, vehicular emission, burning of biomass and anthropogenic activities. The findings of study were supported by reports in different parts of the world.
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