TY - JOUR
T1 - Optimizing oil spill cleanup efforts
T2 - A tactical approach and evaluation framework
AU - Grubesic, Anthony
AU - Wei, Ran
AU - Nelson, Jake
N1 - Funding Information:
This work was supported by the National Academies of Science Gulf Research Program (# 2000007349 ). The authors would also like to thank the BLOSOM team at the National Energy Technology Laboratory for helping with oil simulations and offering guidance where needed.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/12/15
Y1 - 2017/12/15
N2 - Although anthropogenic oil spills vary in size, duration and severity, their broad impacts on complex social, economic and ecological systems can be significant. Questions pertaining to the operational challenges associated with the tactical allocation of human resources, cleanup equipment and supplies to areas impacted by a large spill are particularly salient when developing mitigation strategies for extreme oiling events. The purpose of this paper is to illustrate the application of advanced oil spill modeling techniques in combination with a developed mathematical model to spatially optimize the allocation of response crews and equipment for cleaning up an offshore oil spill. The results suggest that the detailed simulations and optimization model are a good first step in allowing both communities and emergency responders to proactively plan for extreme oiling events and develop response strategies that minimize the impacts of spills.
AB - Although anthropogenic oil spills vary in size, duration and severity, their broad impacts on complex social, economic and ecological systems can be significant. Questions pertaining to the operational challenges associated with the tactical allocation of human resources, cleanup equipment and supplies to areas impacted by a large spill are particularly salient when developing mitigation strategies for extreme oiling events. The purpose of this paper is to illustrate the application of advanced oil spill modeling techniques in combination with a developed mathematical model to spatially optimize the allocation of response crews and equipment for cleaning up an offshore oil spill. The results suggest that the detailed simulations and optimization model are a good first step in allowing both communities and emergency responders to proactively plan for extreme oiling events and develop response strategies that minimize the impacts of spills.
KW - Contingency planning
KW - Oil spill response and cleanup
KW - Simulation
KW - Spatial optimization
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U2 - 10.1016/j.marpolbul.2017.09.012
DO - 10.1016/j.marpolbul.2017.09.012
M3 - Article
C2 - 28992947
AN - SCOPUS:85030643923
SN - 0025-326X
VL - 125
SP - 318
EP - 329
JO - Marine Pollution Bulletin
JF - Marine Pollution Bulletin
IS - 1-2
ER -