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Al-Aizari, A. R., Alzahrani, H., AlThuwaynee, O. F., Al-Masnay, Y. A., Ullah, K., Park, H. et al. (2024). Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and Extreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen. Remote Sensing, 16, Article 336.
https://doi.org/10.3390/rs16020336

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.