Accidents
; Geodetic satellites
; Oil spills
; Time series
; Trajectories
; Bohai Sea
; ENVISAT ASAR
; Lagrangian models
; Lagrangian transport model
; Oil slicks
; Optimal coefficient
; Satellite observations
; Simulated trajectories
; Lagrange multipliers
; calibration
; computer simulation
; Envisat
; Lagrangian analysis
; numerical model
; oil spill
; pollutant transport
; satellite imagery
; synthetic aperture radar
; accident
; calibration
; oil spill
; rotation
; simulation
; time series analysis
; analysis
; calibration
; environmental monitoring
; oil spill
; procedures
; theoretical model
; water pollutant
; Bohai Sea
; Pacific Ocean
; Yellow Sea
; petroleum
; water pollutant
; Calibration
; Environmental Monitoring
; Models, Theoretical
; Petroleum
; Petroleum Pollution
; Water Pollutants, Chemical
Scopus学科分类:
Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要:
Since Lagrangian model coefficients vary with different conditions, it is necessary to calibrate the model to obtain optimal coefficient combination for special oil spill accident. This paper focuses on proposing a new method to calibrate Lagrangian model with time series of Envisat ASAR images. Oil slicks extracted from time series images form a detected trajectory of special oil slick. Lagrangian model is calibrated by minimizing the difference between simulated trajectory and detected trajectory. mean center position distance difference (MCPD) and rotation difference (RD) of Oil slicks' or particles' standard deviational ellipses (SDEs) are calculated as two evaluations. The two parameters are taken to evaluate the performance of Lagrangian transport model with different coefficient combinations. This method is applied to Penglai 19-3 oil spill accident. The simulation result with calibrated model agrees well with related satellite observations. It is suggested the new method is effective to calibrate Lagrangian model. � 2016 Elsevier Ltd
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Tian S.,Huang X.,Li H.. A new method to calibrate Lagrangian model with ASAR images for oil slick trajectory[J]. Marine Pollution Bulletin,2017-01-01,116(2018-01-02)