A multi-attribute methodology for the prioritisation of oil contaminated sites in the Niger Delta

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dc.contributor.author Sam, Kabari
dc.contributor.author Coulon, Frederic
dc.contributor.author Prpich, George
dc.date.accessioned 2016-12-07T10:43:25Z
dc.date.available 2016-12-07T10:43:25Z
dc.date.issued 2016-12-02
dc.identifier.citation Sam K, Coulon F, Prpich G, A multi-attribute methodology for the prioritisation of oil contaminated sites in the Niger Delta, Science of the Total Environment, Vol. 579, 1 February 2017, pp. 1323-1332 en_UK
dc.identifier.issn 0048-9697
dc.identifier.uri http://dx.doi.org/10.1016/j.scitotenv.2016.11.126
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/11099
dc.description.abstract The Ogoniland region of the Niger Delta contains a vast number of sites contaminated with petroleum hydrocarbons that originated from Nigeria's active oil sector. The United Nations Environment Programme (UNEP) reported on this widespread contamination in 2011, however, wide-scale action to clean-up these sites has yet to be initiated. A challenge for decision makers responsible for the clean-up of these sites has been the prioritisation of sites to enable appropriate allocation of scarce resources. In this study, a risk-based multi-criteria decision analysis framework was used to prioritise high-risk sites contaminated with petroleum hydrocarbons in the Ogoniland region of Nigeria. The prioritisation method used a set of risk-based attributes that took into account chemical and ecological impacts, as well as socio-economic impacts, providing a holistic assessment of the risk. Data for the analysis was taken from the UNEP Environmental Assessment of Ogoniland, where over 110 communities were assessed for oil-contamination. Results from our prioritisation show that the highest-ranking sites were not necessarily the sites with the highest observed level of hydrocarbon contamination. This differentiation was due to our use of proximity as a surrogate measure for likelihood of exposure. Composite measures of risk provide a more robust assessment, and can enrich discussions about risk management and the allocation of resources for the clean-up of affected sites. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Oil contamination en_UK
dc.subject Hydrocarbons en_UK
dc.subject Niger Delta en_UK
dc.subject Risk-based prioritisation en_UK
dc.subject Ogoniland en_UK
dc.title A multi-attribute methodology for the prioritisation of oil contaminated sites in the Niger Delta en_UK
dc.type Article en_UK

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