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Attacks on oil transport pipelines in Nigeria: A quantitative exploration and possible explanation of observed patterns
Authors:Babatunde Anifowose  Damian M Lawler Dan van der Horst  Lee Chapman
Institution:School of Geography, Earth & Environmental Sciences, The University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom
Abstract:In countries with insufficient investments in infrastructure and weak environmental governance, oil leakage from pipelines often occurs as a result of poor management and maintenance. Nigeria has its share of such incidents, but also, it suffers a large number of deliberate attacks (‘interdictions’) on oil pipelines. Often these attacks are accompanied by oil theft, carried out by well-equipped professionals and/or at a smaller scale by opportunistic local residents. The causes of these attacks, and the extent of subsequent damage to local communities and the environment, are obscured by a complex web of stakeholders, claims and actions. Any efforts to mitigate the negative impacts of interdiction on the environment and people require a better understanding of its spatiotemporal pattern of occurrence. This article presents a first quantitative and regional exploration of the problem of oil pipeline interdiction in Nigeria. It illustrates geographic patterns through choroplethic and bivariate GIS (Geographical Information Systems) map overlays. We examine interdiction statistics, identify spatiotemporal patterns and discuss correlations with socioeconomic factors. Findings include: (a) strong negative correlation between pipeline interdiction and poverty; and (b) statistically and non-statistically significant mean differences in the pattern of interdiction occurrence amongst the five geographic regions. Finally, we highlight the need for much better data collection and reporting for the mitigation of the negative socio-environmental impacts of interdiction incidences.
Keywords:Oil spill  Oil theft  Pipeline attacks  Vandalism  Interdiction  GIS  Environmental impact  Mitigation  Data  Nigeria
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