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• W2914430763 abstract "Different causes lead to accidental oil spills from fixed and mobile sources in the marine environment. Therefore, it is essential to have a systematic plan for mitigating oil spill consequences. In this research, a general DSS is proposed for passive and active response planning in Persian Gulf, before and after a spill. The DSS is based on NOAA's advanced oil spill model (GNOME), which is now linked with credible met-ocean datasets of CMEMS and ECMWF. The developed open-source tool converts the results of the Lagrangian oil spill model to quantitative parameters such as mean concentration and time of impact of oil. Using them, two new parameters, emergency response priority number (ERPN) and risk index (RI), are defined and used for response planning. The tool was tested in both deterministic and probabilistic modes, and found to be useful for evaluation of emergency response drills and risk-based prioritization of coastal areas." @default.
• W2914430763 created "2019-02-21" @default.
• W2914430763 creator A5029288426 @default.
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• W2914430763 date "2019-03-01" @default.
• W2914430763 modified "2023-10-01" @default.
• W2914430763 title "Response planning for accidental oil spills in Persian Gulf: A decision support system (DSS) based on consequence modeling" @default.
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• W2914430763 doi "https://doi.org/10.1016/j.marpolbul.2018.12.053" @default.
• W2914430763 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30803625" @default.
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