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 |