Type | Journal Article - Journal of Emerging Trends in Engineering and Applied Sciences |
Title | Identification of sources of heavy metals pollution in road deposited sediments using multivariate statistical analysis |
Author(s) | |
Volume | 2 |
Publication (Day/Month/Year) | 2011 |
Page numbers | 658-663 |
URL | http://jeteas.scholarlinkresearch.com/articles/Identification of Sources of Heavy Metals Pollutionin Road Deposited Sediments Using Multivariate Statistical.pdf |
Abstract | Heavy metals in road sediments have long term and far reaching environmental and health implications, and identification of the sources is the first step to taking mitigating measures. Assessment of toxic metals in the road sediments of Suleja streets was carried out. 30 samples were collected from seven selected streets. The road sediment samples were digested with a mixture of H!O3 and HClO4 (2:1 v/v), and analyzed for the metals Pb, Cu, Cr, Zn, Cd and !i using Atomic Absorption Spectrophotometer. Results showed that metal concentrations (mg/kg dry weight) were in the following range: Zn (35.00 – 350.00), Pb (5.33 – 115.56), Cu (2.71 – 171.76), !i (10.00 – 40.00), Cd (2.50 – 66.00), Cr (6.79 – 34.71). Multivariate statistical analysis revealed that Pb and Cr were related to traffic, metal-work stations in the area led to elevated levels of Cd and !i, while Cu and Zn were from dual origin of vehicular and industrial emissions |
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