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Title: Approach for assessing coastal vulnerability to oil spills for prevention and readiness using GIS and the Blowout and Spill Occurrence Model

Journal Article · · Ocean & Coastal Management
ORCiD logo [1];  [2];  [3];  [3];  [4]
  1. National Energy Technology Lab. (NETL), Albany, OR (United States); Drexel Univ., Philadelphia, PA (United States)
  2. Drexel Univ., Philadelphia, PA (United States)
  3. National Energy Technology Lab. (NETL), Albany, OR (United States)
  4. Humboldt State Univ., Arcata, CA (United States)

Increasing interest in offshore hydrocarbon exploration has pushed the operational fronts associated with exploration efforts further offshore into deeper waters and more uncertain subsurface settings. This has become particularly common in the U.S. Gulf of Mexico. In this study we develop a spatial vulnerability approach and example assessment to support future spill prevention and improve future response readiness. This effort, which is part of a larger integrated assessment modeling spill prevention effort, incorporated economic and environmental data, and utilized a novel new oil spill simulation model from the U.S. Department of Energy’s National Energy Technology Laboratory, the Blowout and Spill Occurrence Model (BLOSOM). Specifically, this study demonstrated a novel approach to evaluate potential impacts of hypothetical spill simulations at varying depths and locations in the northern Gulf of Mexico. The simulations are analyzed to assess spatial and temporal trends associated with the oil spill. The approach itself demonstrates how these data, tools and techniques can be used to evaluate potential spatial vulnerability of Gulf communities for various spill scenarios. Results of the hypothetical scenarios evaluated in this study suggest that under conditions like those simulated, a strong westward push by ocean currents and tides may increase the impacts of deep water spills along the Texas coastline, amplifying the vulnerability of communities on the local barrier islands. Ultimately, this approach can be used further to assess a range of conditions and scenarios to better understand potential risks and improve informed decision making for operators, responders, and stakeholders to support spill prevention as well as response readiness.

Research Organization:
National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States). In-house Research
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
Grant/Contract Number:
FE0004000
OSTI ID:
1240138
Alternate ID(s):
OSTI ID: 1373126
Report Number(s):
NETL-PUB-1104
Journal Information:
Ocean & Coastal Management, Vol. 112, Issue C; ISSN 0964-5691
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 37 works
Citation information provided by
Web of Science

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Cited By (5)

Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool journal June 2019
Oil spill modeling: Mapping the knowledge domain journal January 2020
Predicting the impact of future oil-spill closures on fishery-dependent communities—a spatially explicit approach journal July 2019
Ocean currents and coastal exposure to offshore releases of passively transported material in the Gulf of Mexico journal August 2019
Protecting Sensitive Coastal Areas with Exclusion Booms during Oil Spill Events journal August 2018