alexa Development and Validation of a New Comprehensive Method for Heavy Metal Pollution Assessment in Soil Media
ISSN: 2090-4908

International Journal of Swarm Intelligence and Evolutionary Computation
Open Access

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Research Article

Development and Validation of a New Comprehensive Method for Heavy Metal Pollution Assessment in Soil Media

Bello S1*, Muhammad BG1, Simon J2and Bature B3

1Department of Physics, Umaru Musa Yar’adua University Katsina, Nigeria

2Department of Physics, Ahmadu Bello University Zaria, Nigeria

3Department of Mathematics, Umaru Musa Yar’adua University Katsina, Nigeria

*Corresponding Author:
Bello S
Department of Physics
Umaru Musa Yar’adua University Katsina
Katsina state, Nigeria
Tel: +2348166791940
E-mail: [email protected]

Received date: May 30, 2017; Accepted date: June 20, 2017; Published date: June 27, 2017

Citation: Bello S, Muhammad BG, Simon J, Bature B (2017) Development and Validation of a New Comprehensive Method for Heavy Metal Pollution Assessment in Soil Media. Int J Swarm Intel Evol Comput 6:160. doi:10.4172/2090-4908.1000160

Copyright: © 2017 Bello S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



This study was carried out to develop and validate a new comprehensive methodology for the assessment of heavy metal pollution in soil environmental media. The models were developed to fill up the gap between the existing contamination factor indices and hazard quotient, so as to avoid discrepancies in their application. The results obtained from analysis of heavy metals (Zn, Cu, Ni and Cd) in soil samples collected from Dana steel limited dumpsite upper layer were used for the validation. The existing hazard quotient and contamination factors classify Cu under very high pollution category. The existing Pollution load and the developed hazard load index characterized the dumpsite under considerably polluted category. Discrepancy was observed in the single index classification against Zn, Ni and Cd. This discrepancy was attributed to the possible improper control area selection. The proposed methodology if utilized is capable of relieving the need for control area sampling there by eliminating biasness in the environmental quality deterioration assessment.


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