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The problem of oil slick look-a-likes phenomena in marine environment, which often resulted in a high number of false alarms from optical detectors (remote sensing), and the environmental impacts of some cleanup techniques that makes CD a limiting factor in the decision-making process has been a major snag in marine oil spill management since early 21st century. This study was motivated by the need to develop a new possible research direction in marine oil spill modeling where the monitoring and cleanup alternatives would be optimized to enhance locations selection for the deployment of…mehr

Produktbeschreibung
The problem of oil slick look-a-likes phenomena in marine environment, which often resulted in a high number of false alarms from optical detectors (remote sensing), and the environmental impacts of some cleanup techniques that makes CD a limiting factor in the decision-making process has been a major snag in marine oil spill management since early 21st century. This study was motivated by the need to develop a new possible research direction in marine oil spill modeling where the monitoring and cleanup alternatives would be optimized to enhance locations selection for the deployment of containment and combating technique evaluation before actual usage. The control-Theoretic methodological models formulated as a critical first step to objectify the proposition focused on combination methodology and sequential optimization.
Autorenporträt
Dr. Kufre Bassey is currently a senior Statistician in the Statistical Methods Office of the Statistics Department, Central Bank of Nigeria. He was formerly a lecturer in the Department of Mathematical Science, Federal University of Technology, Akure, Nigeria. His research area is Operations research (Optimal Control)and econometric.