This paper reports the findings from the experimental study of an intelligent system driven by Neural Network (NN), Fuzzy Logic (FL) and Genetic Algorithm (GA) for knowledge discovery and oil spillage risk management. Application software was developed in an environment characterized by 11Ants Analytics, Matrix Laboratory (MatLab), Microsoft Excel, SPSS and GraphPadInstat as frontend engines; M...

The Deepwater Horizon semi-submersible Mobile Offshore Drilling Unit (MODU), leased to BP (previously British Petroleum, now simply “BP”, with the previously-used promotional tagline of “beyond petroleum”) suffered an explosive “blowout” on April 20, 2010 which resulted in what is now the largest offshore oil spill in United States (U.S.) history, and currently estimated to be at least the seco...

High rates of mental health (MH) problems have been documented among disaster relief workers. However, few workers utilize MH services, and predictors of service use among this group remain unexplored. The purpose of this study was to explore associations between predisposing, illness-related, and enabling factors from Andersen's behavioral model of treatment-seeking and patterns of service use...

The recent developments in pollutant measurement methods and techniques necessitate improvements in modelling approaches. The models used so far have been based on seasonally averaged data, which is insufficient for making short-term predictions. We have improved the existing modelling tools for pollutant transport and dispersion on three levels. We significantly refined the numerical grid; we ...

This chapter gives credence to the introduction of optimal control theory into oil spill modeling and develops an optimization process that will aid in the effective decisionmaking in marine oil spill management. The purpose of the optimal control theory is to determine the control policy that will optimize (maximize or minimize) a specific per‐ formance criterion, subject to the constraints im...

This study has demonstrated a design tool for oil spill detection in SAR satellite data using optimization of Entropy based Multi-Objective Evolutionary Algorithm (E-MMGA) based on Pareto optimal solutions. The study also shows that optimization entropy based on Multi-Objective Evolutionary Algorithm provides an accurate pattern of oil slick in SAR data. This is shown by 85% for oil spill, 10% ...

The 2010 Deepwater Horizon oil spill, the largest ever accidental release of oil into marine waters, affected hundreds of miles of US northern Gulf of Mexico coastline that is important habitat for migratory shorebirds. Shorebirds are particularly susceptible to oil contamination because of their subsurface probe-foraging behavior and reliance on intertidal habitat. More than one million migrat...

The Deepwater Horizon blowout, which occurred on April 20, 2010, resulted in an unprecedented oil spill. Despite a complex effort to cap the well, oil and gas spewed from the site until July 15, 2010. Although a large proportion of the hydrocarbons was depleted via natural processes and human intervention, a substantial portion of the oil remained unaccounted for and impacted multiple ecosystem...

Much oil spill research has focused on fertilizing hydrocarbon oxidising bacteria, but a primary limitation is the rapid dilution of additives in open waters. A new technique is presented for bioremediation by adding nutrient amendments to the oil spill using thin filmed minerals comprised largely of Fullers Earth clay. Together with adsorbed N and P fertilizers, filming additives, and organocl...

Tanjung Kukup is located in the Malacca strait which is an environmental sanctuary as a home to many species of birds and mangrove dwellers like mangrove crabs, beady-eyed mudskippers and crab-eating macaques. In recent years, the number of ships using the strait Mallaca has been increased and higher marine pollution rates have been recorded. The most important pollution in the marine environme...