Oil Spill Response Planning with Consideration of Physicochemical Evolution of the Oil Slick: A Multiobjective Optimization Approach
|Title||Oil Spill Response Planning with Consideration of Physicochemical Evolution of the Oil Slick: A Multiobjective Optimization Approach|
|Publication Type||Journal Article|
|Year of Publication||2011|
|Authors||Zhong, Z, You, F|
|Journal||Computers & Chem. Engrg.|
This paper addresses the optimal planning of oil spill response operations under the constraints of economic and responsive criteria, with consideration of oil transport and weathering process. The economic criterion is measured in terms of total cost, while the responsiveness is measured by the time span of the entire response operations. A bi-criterion, multiperiod mixed-integer linear programming (MILP) model is developed that minimizes the total cost and the response time span and simultaneously predicts the optimal time trajectories of the oil slick's volume and area, transportation profile, usage levels of response resources, oil spill cleanup schedule, and coastal protection plan. The MILP model also integrates with the prediction of an oil transport and weathering model that takes into account oil physiochemical properties, spilled amount, hydrodynamics, and weather and sea conditions. The multi-objective optimization model is solved with the ε-constraint method and produces a Pareto-optimal curve that reveals how the optimal total cost, oil spill cleanup operations, and coastal protection plans change under different specifications of the response time span. We present two case studies for oil spill incidents in the Gulf of Mexico area and the New England region to illustrate the application of the proposed approach.