Abstract
Oil spills at sea remain a serious threat to coastal settlements and sensitive ecosystems. Although the impacts of spills are contingent upon a variety of environmental factors and the chemical composition of the oil itself, spill effects can be long lasting in the pelagic zone with broad impacts on sensitive bacterial, microbial, plant, and animal communities. Efforts to contain, deflect, protect, and mitigate the effects of oil are increasingly important, given the massive social, economic, and environmental fallout connected to large spills. The purpose of this paper is to provide geographic perspective for protecting coastal areas with exclusion booms during oil spill events. Specifically, we introduce a generalized, extendable, spatial optimization model that simultaneously minimizes spill effects on vulnerable shorelines and the total costs associated with dispatching booms. The multiobjective model is solved with a weighting method to produce a Pareto optimal curve that reveals how the costs and protection operations change under different priorities. A simulated tanker spill near Mobile Bay, AL, USA, is used as an illustrative example.
| Original language | English (US) |
|---|---|
| Journal | Environmental Modeling and Assessment |
| DOIs | |
| State | Accepted/In press - Jan 1 2018 |
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Keywords
- Gulf of Mexico
- Oil spill response
- Optimization
- Planning
- Spatial analysis
ASJC Scopus subject areas
- Environmental Science(all)
Cite this
Protecting Sensitive Coastal Areas with Exclusion Booms during Oil Spill Events. / Grubesic, Anthony; Wei, Ran; Nelson, Jake.
In: Environmental Modeling and Assessment, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Protecting Sensitive Coastal Areas with Exclusion Booms during Oil Spill Events
AU - Grubesic, Anthony
AU - Wei, Ran
AU - Nelson, Jake
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Oil spills at sea remain a serious threat to coastal settlements and sensitive ecosystems. Although the impacts of spills are contingent upon a variety of environmental factors and the chemical composition of the oil itself, spill effects can be long lasting in the pelagic zone with broad impacts on sensitive bacterial, microbial, plant, and animal communities. Efforts to contain, deflect, protect, and mitigate the effects of oil are increasingly important, given the massive social, economic, and environmental fallout connected to large spills. The purpose of this paper is to provide geographic perspective for protecting coastal areas with exclusion booms during oil spill events. Specifically, we introduce a generalized, extendable, spatial optimization model that simultaneously minimizes spill effects on vulnerable shorelines and the total costs associated with dispatching booms. The multiobjective model is solved with a weighting method to produce a Pareto optimal curve that reveals how the costs and protection operations change under different priorities. A simulated tanker spill near Mobile Bay, AL, USA, is used as an illustrative example.
AB - Oil spills at sea remain a serious threat to coastal settlements and sensitive ecosystems. Although the impacts of spills are contingent upon a variety of environmental factors and the chemical composition of the oil itself, spill effects can be long lasting in the pelagic zone with broad impacts on sensitive bacterial, microbial, plant, and animal communities. Efforts to contain, deflect, protect, and mitigate the effects of oil are increasingly important, given the massive social, economic, and environmental fallout connected to large spills. The purpose of this paper is to provide geographic perspective for protecting coastal areas with exclusion booms during oil spill events. Specifically, we introduce a generalized, extendable, spatial optimization model that simultaneously minimizes spill effects on vulnerable shorelines and the total costs associated with dispatching booms. The multiobjective model is solved with a weighting method to produce a Pareto optimal curve that reveals how the costs and protection operations change under different priorities. A simulated tanker spill near Mobile Bay, AL, USA, is used as an illustrative example.
KW - Gulf of Mexico
KW - Oil spill response
KW - Optimization
KW - Planning
KW - Spatial analysis
UR - http://www.scopus.com/inward/record.url?scp=85053182674&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053182674&partnerID=8YFLogxK
U2 - 10.1007/s10666-018-9634-2
DO - 10.1007/s10666-018-9634-2
M3 - Article
AN - SCOPUS:85053182674
JO - Environmental Modeling and Assessment
JF - Environmental Modeling and Assessment
SN - 1420-2026
ER -