Combining AHP and TOPSIS approaches to support site selection for a lead pollution study
Files
(Published version)
Date
2012
Authors
Al Maliki, A.
Owens, G.
Bruce, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
International Proceedings of Chemical, Biological & Environmental Engineering, 2012, vol.37, pp.1-8
Statement of Responsibility
Conference Name
2012 2nd International Conference on Environmental and Agriculture Engineering (29 Jun 2012 - 30 Jun 2012 : Jeju Island, South Korea)
Abstract
This paper presents a case study involving evaluation of six mining and smelting regions across Australia for site suitability for an industrial Pb contamination study. Site selection was based on application of a Multi-Criteria Decision Making (MCDM) algorithm. This study showed that suitable sites could be identified and ranked using a combination of AHP and TOPSIS by restricting analysis to sites within 5 km of the Pb source, which included urban zones with potential health effects. In each Australian state, different areas were initially identified as being potentially suitable for a contaminated Pb study depending on the weights of seven predefined criteria and the priorities of the decision maker. However, after this process there were still some locations that were equally suitable in most states, so that final site selection was made only after each location was ranked in descending order of preference. This proposed technique allowed for an often qualitative assessment of site selection to be replaced by a more quantitative, informed and unbiased method.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2012 IACSIT Press. This article has been published under a Creative Commons attribution-noncommerical license CC BY-NC-ND 4.0 http://creativecommons.org/licenses/by-nc-nd/4.0/ (http://creativecommons.org/licenses/by-nc-nd/4.0/)