2017
DOI: 10.1177/0309133317744737
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Oil spill modeling

Abstract: Oil spill modeling is fundamental for planning and preparing for, as well as responding to and mitigating, actual spill events. As a result, significant research effort has been directed toward developing analytical approaches for deepening our understanding of spill risk, community vulnerability, oil behavior, spill outcomes, and impacts. The purpose of this paper is to provide a synthesis of the oil spill risk assessment and impact modeling literature, with a focus on the vulnerability of local environmental… Show more

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Cited by 56 publications
(27 citation statements)
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References 92 publications
(133 reference statements)
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“…As mentioned previously, in the years following the Deepwater Horizon oil spill there was a significant increase in the amount of work being done in the oil spill risk and impact modeling area [17]. There are three major families of analysis: (1) vulnerability analysis, (2) risk analysis, and (3) normative impact modeling.…”
Section: Oil Spill Impact Modelingmentioning
confidence: 99%
See 2 more Smart Citations
“…As mentioned previously, in the years following the Deepwater Horizon oil spill there was a significant increase in the amount of work being done in the oil spill risk and impact modeling area [17]. There are three major families of analysis: (1) vulnerability analysis, (2) risk analysis, and (3) normative impact modeling.…”
Section: Oil Spill Impact Modelingmentioning
confidence: 99%
“…To be sure, while the number of oil spill impact assessments has increased dramatically since the Deepwater Horizon catastrophe [17], none have quantified or directly addressed the potential outcomes of a disaster in the Eastern GOM Planning Area. This is not to say that site-specific research is nonexistent.…”
Section: Introductionmentioning
confidence: 99%
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“…Oil spill Hazard, subject of the present work, can be assessed in several ways. One of the most popular and effective methods, adopted in the last years for oil spill related issues, is the use of modeling tools (Nelson and Grubesic, 2018, for a recent review) to produce simulated data on which perform statistics for hazard (risk) estimations. Such statistics often just concern the oil densities on coastal elements i.e., the density of stranded oil weighted on a discrete (cells, nodes, coastal stretches) coastal line (e.g., Olita et al, 2012a;Sepp Neves et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…As stated by Aps et al (2014), beaches cannot be simply considered from a statistical point of view, and coastal morphodynamics is an important factor to take into account in the vulnerability assessment for oil spill events. The crucial role of field measurements for evaluating ESI was already recognized by Nelson and Grubesic (2018), as they helped to decrease observational error when only remote sensing data are used. According to González et al (2009), to minimize the impact of oil spill on beaches it is crucial to understand the modal state of the beach and its morphodynamics variability through time; the authors also highlight the importance of the beach limits (lateral and the cross-shore), which confine the water circulation and the oil transport on the beach.…”
Section: Introductionmentioning
confidence: 99%