A new stochastic oil spill risk assessment model for Persian Gulf: Development, application and evaluation

Amir Heidari, P ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1016/j.marpolbul.2019.05.022
  3. Publisher: Elsevier Ltd , 2019
  4. Abstract:
  5. Persian Gulf is a semi-enclosed highly saline reverse estuary that is exposed to the risk of oil spills in offshore oil and gas activities. In the early 2000s, a specific version of NOAA's Trajectory Analysis Planner (TAP II) was developed for Persian Gulf to assist regional organizations in preparing oil spill contingency plans. In this research, a new stochastic model is developed to cover the limitations of TAP II. The new model is based on an advanced trajectory model, which is now linked with high resolution spatiotemporal data of the wind and sea current. In a case study, the developed model is compared with TAP II, and evaluated by multiple tests designed for analysis of uncertainty, sensitivity, reliability and variability. The case study proved the applicability of the new model, and the evaluation tests provided useful information for the future development of the model. © 2019 Elsevier Ltd
  6. Keywords:
  7. Risk assessment ; Stochastic model ; Uncertainty analysis, reliability analysis ; Marine pollution ; Offshore oil well production ; Oil spills ; Reliability analysis ; Sensitivity analysis ; Stochastic systems ; Uncertainty analysis ; Contingency plans ; Developed model ; Evaluation test ; High resolution ; Oil spill risk assessments ; Spatio-temporal data ; Trajectory analysis ; Trajectory modeling ; Stochastic models ; Modeling ; Oil spill ; Stochasticity ; Article ; Reliability ; Uncertainty ; Reproducibility ; Theoretical model ; Arabian Sea ; Indian Ocean ; Persian Gulf ; Models, Theoretical ; Petroleum Pollution ; Reproducibility of Results ; Wind
  8. Source: Marine Pollution Bulletin ; Volume 145 , 2019 , Pages 357-369 ; 0025326X (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0025326X19303819