A hindcast method to simulate oil spill trajectories for the Bohai Sea, Northeast China

被引:13
|
作者
Yu, Fangjie [1 ,2 ]
Li, Jiaojiao [1 ]
Cui, Songxue [3 ]
Zhao, Yang [4 ]
Feng, Quanzhou [1 ]
Chen, Ge [1 ,2 ]
机构
[1] Ocean Univ China, Qingdao Collaborat Innovat Ctr Marine Sci & Techn, Coll Informat Sci & Engn, Qingdao 266100, Peoples R China
[2] Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266100, Peoples R China
[3] Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
[4] Ocean Univ China, Coll Liberal Arts Journalism & Commun, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Oil spill hindcasting; Random walk; Oil spill modeling; Remote sensing; SAR IMAGES; MODEL; TRANSPORT; DISPERSION; SLICKS; COAST;
D O I
10.1016/j.oceaneng.2016.08.004
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The Bohai Sea in China is a high-risk area for oil-spill accidents because of the large number of oil platforms and the intensity of marine traffic. Oil spills can be detected using some type of remote sensing data such as synthetic aperture radar (SAR) images, but to determine of oil-spill origin is difficult. Oil spill hindcast models are commonly used to simulate the origin points. Surface winds, surface currents and random walk are three major parameters in the oil hindcast process. In coastal regions, the parameters are affected by offshore bathymetry, local weather, etc. In particular, random walk is more sensitive to the traits of coastal regions. However, most state-of-the-art hindcast models use an empirical and constant value for conducting random walk. In this paper, a random walk parameterization hindcast method (RWPHM) for the Bohai Sea is proposed, in which random walk is initially parameterized and combined with remote sensing data and oil-spill models. The backward-in-time method is validated using data for the Penglai 19-3 spill accident observed between June 11 and 19, 2011. The results confirm that the accuracy of random walk is significant for improving the accuracy of oil-spill hindcasting. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:363 / 370
页数:8
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