To support the operational response for ships in distress and oil spills, a space-air-sea-ground integrated monitoring network-based forecasting system was constructed. A three-layered structure of the framework was designed, including sensing layer, network layer and application layer. The observations are collected by space-air-sea-ground sensors, followed with the transmission by the network layer. These observations are received and processed, and are then combined with the forecasting. The coverage, availability and reliability of various observations are discussed. The uncertainty in forecasting and the approach to improve its performance are studied. The system was applied to the uncontrolled ship and the following oil spill from Sanchi accident occurred in East China sea in 2018. The space-bore synthetic aperture radar (SAR) observations for ship and oil spill are verified by air-borne SAR observations and on-site observations. The accuracy of the forecasting trajectory is improved by integrating more observations. The uncertainty in the forecasting is accounted for by an ensemble of the available wind and current forcing, in order to improve the reliability of the conclusions. The monitoring and forecasting play a complementary role, which have improved the support to maritime transportation emergency response.
Space-Air-Sea-Ground Integrated Monitoring Network-Based Maritime Transportation Emergency Forecasting
IEEE Transactions on Intelligent Transportation Systems ; 23 , 3 ; 2843-2852
2022-03-01
5801071 byte
Article (Journal)
Electronic Resource
English
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