A new method to calibrate Lagrangian model with ASAR images for oil slick trajectory

被引：6
|
作者：
Tian, Siyu [1 ]
Huang, Xiaoxia [1 ]
Li, Hongga [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
来源：
MARINE POLLUTION BULLETIN | 2017年 / 116卷 / 1-2期
关键词：
Lagrangian model calibration; Oil slick trajectory; Time series images; Envisat ASAR; Penglai 19-3 oil spill; Bohai Sea; VERTICAL COORDINATE; SPILL; HYCOM; WIND;
D O I：
10.1016/j.marpolbul.2016.12.054
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：95 / 102
页数：8
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