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Mays, G. T., Belles, R., Blevins, B. R., Hadley, S. W., Harrison, T. J., Jochem, W. C., Rose, A. N. et al. (2012). Application of Spatial Data Modeling and Geographical Information Systems (GIS) for Identification of Potential Siting Options for Various Electrical Generation Sources. Oak Ridge National Lab.
https://doi.org/10.2172/1032036

has been cited by the following article:

• TITLE: Severity Risk Analysis Matrix Ranking (SRAMR) for Oil-Spill Contingency Planning: Asemoku-Agip Pipeline in Perspective

  AUTHORS: Ifuwe Chineme Christabel, Onosemuode Christopher

  KEYWORDS: Land-Use/Land-Cover, Asemoku, Crude-Spills, Severity-Risk-Analysis

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.12 No.6, June 27, 2024

  ABSTRACT: One of the down sides of crude oil exploration and exploitation in the developing nations is its impacts on the environment. A major manifestation of poor crude oil management is oil-spillages. Mitigation strategies have been too expensive, but a cheaper recent way of managing crude-spills is by developing a severity risk analysis matrix ranking (SRAMR). The spatial data-sets deployed in this study were acquired from the USGS, Google Earth Pro, and NOSDRA. A buffer zone of 100 - 400 meters was created to characterize the LULC characteristics of the area. Also, this was to help develop a risk sensitivity characteristic. The study found that the vegetal cover was the environmental resource at high risk to crude-spills in the area, while other land-uses were at low risk of crude-spill. It is hoped that the finding from this study informs policy development and planning for crude oil spill incidents.