Special Issue: Modeling and Decision Support for Shoreline Oil Spill Response


Guest Editors:

Dr. Zhi Chen
Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada

Dr. Edward Owens
Owens Coastal Consultants, Bainbridge Island, WA 98110, United States

Dr. Elliott Taylor
Polaris Applied Sciences Inc., Bainbridge Island, WA 98110, United States

Dr. Chunjiang An
Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada

Summary:

Marine oil spills continue to be a major global environmental concern to the petroleum industry, regulators and the public. The spilled oil primarily comes from natural seeps, offshore drilling and production, transportation losses, and industrial discharges. Numerous case studies have documented significant damage to shoreline environments caused by oil spilled at sea. Shoreline oiling can also result in socioeconomic impacts by disrupting subsistence, commercial and recreational activities and resources. Decision makers face many challenges in making a choice for the best oil response strategy. The involvement of many environmental, technical, social, and economic factors further increases the complexity of decision-making process. Modeling and decision support tools play significant roles in analyzing the needs of oil spill response strategies and can support stakeholders in making appropriate decisions. In recent years, intelligent decision support tools based on modeling and computing have attracted the attention of both researchers and practitioners in a wide range of areas from computing science, engineering, operations research, economics, and management. The emerging methods can be designed to support response strategists, planners and the public to better understand the response methods and the tradeoffs and potential consequences associated with their shoreline treatment options.

The objective of this special issue is to attract researchers with an interest in the research area described above. Specifically, we are interested in the contributions towards the development of mathematical models and decision support tools which are able to deal with complex information of oil spill response.

Topics:

  • Decision support for coastal/shoreline oil spill response
  • Temporal and spatial analyses of coastal/shoreline oil pollution
  • Operation research for oil pollution management
  • Coastal risk assessment and vulnerability analysis
  • Best management practices for oil spill response
  • Policy analysis for oil spill
  • Computer visualization and GIS for supporting oil spill decision making
  • Simulation of oil transport and fate on coastal/shoreline
  • Big data for intelligent decision making to support coastal/shoreline oil spill cleanup
  • Spill response modeling and planning
  • Latest review of oil spill decision analysis technologies