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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 8    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 8,August 2012
GIS-based approach to evaluate heavy metals in urban street dusts of southwest Iran (Case study: Bushehr)
Full Text(PDF, )  PP.57-61  
TayebehTabatabaie, Fazel Amiri and Abdul Rashid b. Mohamed Shariff
—Geostatistics, Heavy metals, Principal component analysis, Spatial variability, Street dust
Thirty street dust samples were collected from all over Bushehr city, Iran, to characterize the spatial distribution and sources of two soil heavy metals (Pb, and Mn) and for the interrelation patterns of these elements, anthropogenic, the multivariate analysis was applied. Samples were collected by the random systematic method. The concentrations of Pb, and Mn were analyzed with an ICP-AES. Principal component analysis (PCA) was used, and geostatistics was conducted for the data processing. The results showed that the main source of the Pb is anthropogenic, mines of Mn natural material. The result's finding of this research showed that multivariate statistical analysis, a powerful tool for identifying and monitoring sources of heavy metals of street dust.
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