AI Article Synopsis
- The paper introduces a new system for modeling oil spills using HF radar currents in a northwest European shelf sea.
- It combines Open Modal Analysis, Short Term Prediction algorithms, and an oil spill model to improve the accuracy of oil spill trajectory simulations.
- The results indicated that using HF radar data provided a 40% reduction in error for trajectory predictions compared to traditional hydrodynamic models, with effective forecasting up to 6 hours ahead.
Article Abstract
This paper presents a novel operational oil spill modelling system based on HF radar currents, implemented in a northwest European shelf sea. The system integrates Open Modal Analysis (OMA), Short Term Prediction algorithms (STPS) and an oil spill model to simulate oil spill trajectories. A set of 18 buoys was used to assess the accuracy of the system for trajectory forecast and to evaluate the benefits of HF radar data compared to the use of currents from a hydrodynamic model (HDM). The results showed that simulated trajectories using OMA currents were more accurate than those obtained using a HDM. After 48h the mean error was reduced by 40%. The forecast skill of the STPS method was valid up to 6h ahead. The analysis performed shows the benefits of HF radar data for operational oil spill modelling, which could be easily implemented in other regions with HF radar coverage.
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| http://dx.doi.org/10.1016/j.marpolbul.2017.04.010 | DOI Listing |
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