The current lack of a standardized approach to compute the coastal oil spill hazard due to maritime traffic accidental releases has hindered an accurate estimate of its global impact, which is paramount to manage and intercompare the associated risks. We propose here a hazard estimation approach that is based on ensemble simulations and the extraction of the relevant distributions. We demonstrate that both open ocean and beached oil concentration distributions fit a Weibull curve, a two-parameter fat-tail probability distribution function. The simulation experiments are carried out in three different areas of the northern Atlantic. An indicator that quantify the coastal oil spill hazard is proposed and applied to the study areas.
Sepp Neves, A.A., Pinardi, N., Navarra, A., Trotta, F. (2020). A General Methodology for Beached Oil Spill Hazard Mapping. FRONTIERS IN MARINE SCIENCE, 7, 1-10 [10.3389/fmars.2020.00065].
A General Methodology for Beached Oil Spill Hazard Mapping
Sepp Neves, Antonio A.
Software
;Pinardi, Nadia
Methodology
;Navarra, Antonio
Methodology
;Trotta, F.
Validation
2020
Abstract
The current lack of a standardized approach to compute the coastal oil spill hazard due to maritime traffic accidental releases has hindered an accurate estimate of its global impact, which is paramount to manage and intercompare the associated risks. We propose here a hazard estimation approach that is based on ensemble simulations and the extraction of the relevant distributions. We demonstrate that both open ocean and beached oil concentration distributions fit a Weibull curve, a two-parameter fat-tail probability distribution function. The simulation experiments are carried out in three different areas of the northern Atlantic. An indicator that quantify the coastal oil spill hazard is proposed and applied to the study areas.File | Dimensione | Formato | |
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