Influence of sea surface waves on numerical modeling of an oil spill: Revisit of symphony wheel accident
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Le résumé fourni par la source
The greatest purpose of this study is to analyze the importance of surface waves on the hindcasting of the oil spill through the Symphony wheel accident in the Qingdao coastal waters. During the accident period, a total of four synthetic aperture radar (SAR) images by Gaofen-3 (GF-3) were acquired from 2 to 19 May 2021. The hindcasting of two sea surface dynamics, namely currents and waves, is carried out using a coupled marine numeric model. This model, known as the finite-volume community ocean model-simulating waves nearshore (FVCOM-SWAVE), employs a triangular grid. Simulated significant wave height (SWH) is validated against remotely sensed product by the Haiyang-2B (HY-2B) altimeter on April 2021 yields a root mean square error (RMSE) of 0.38, a correlation coefficient (COR) of 0.78, and a scatter index (SI) of 0.34. Subsequently, Stokes drift estimated by waves are included to hindcasting oil spills using the oil particle-tracing method. The bias of the spatial coverage (SAR minus simulations) of an algorithm called the constant false alarm rate (CFAR) is −73.92 km2 with Stokes drift, which is significantly less than the 55.45 km2 coverage without Stokes drift. Moreover, compared with model-simulated oil spills, the bias of the geographic location at the center point with Stokes drift is 8.18 km, which is less than the 12.95 km bias without Stokes drift. These results demonstrate that Stokes drift needs to be included in the prediction of oil spills.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Influence of sea surface waves on numerical modeling of an oil spill: Revisit of symphony wheel accident
- Date Crossref
- 01/10/2024
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Shanghai Ocean University pays non établi dans la noticeUniversité ou école supérieure
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Ministry of Natural Resources National Satellite Ocean Application Service pays non établi dans la noticeOrganisme public
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National Marine Environmental Forecasting Center pays non établi dans la noticeOrganisme public
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National Satellite Ocean Application Service pays non établi dans la noticeStructure de recherche
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China Waterborne Transport Research Institute pays non établi dans la noticeOrganisme public
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Ministry of Transport pays non établi dans la noticeOrganisme public
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Shandong Marine Resource and Environment Research Institute pays non établi dans la noticeStructure de recherche
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National Marine Data and Information Service pays non établi dans la noticeOrganisme public
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College of Oceanography and Ecological Science pays non établi dans la noticeUniversité ou école supérieure
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Key Laboratory of Marine Hazards Forecasting pays non établi dans la noticeStructure de recherche
Shanghai Ocean University, National Satellite Ocean Application Service — Ministry of Natural Resources et National Marine Environmental Forecasting Center, avec 7 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.