Title :
A surface oil spill location and trajectory prediction method
Author :
Lijie Cao ; Ge Guo ; Qihua Wang
Author_Institution :
Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
The surface of the oil spill location and track prediction had been widely attention. In this paper, we propose the time of arrival (TOA) algorithm based on the weighted least squares method to locate pollution points with known nodes and unknown nodes. When the oil film moving with current and the wind, combined with the oil film equations of motion, the Kalman filter is adopted to the oil film position to predict the future movement. Simulation results show the effectiveness of the method proposed.
Keywords :
Kalman filters; least squares approximations; marine pollution; oil pollution; wind; Kalman filter; TOA algorithm; ocean current; oil film motion equation; oil film position; oil spill location surface; pollution location; time-of-arrival algorithm; track prediction; trajectory prediction method; weighted least squares method; wind; Covariance matrices; Films; Kalman filters; Noise; Sea surface; Trajectory; Wireless sensor networks; localization; prediction; sensor network; surface oil spill;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162144
