A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea | |
Yan, Jining1; Wang, Lizhe1; Chen, Lajiao1; Zhao, Lingjun1; Huang, Bomin1 | |
刊名 | REMOTE SENSING |
2015 | |
卷号 | 7期号:6页码:105-114 |
通讯作者 | Wang, LZ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China. |
英文摘要 | In view of the fact that oil spill remote sensing could only generate the oil slick information at a specific time and that traditional oil spill simulation models were not designed to deal with dynamic conditions, a dynamic data-driven application system (DDDAS) was introduced. The DDDAS entails both the ability to incorporate additional data into an executing application and, in reverse, the ability of applications to dynamically steer the measurement process. Based on the DDDAS, combing a remote sensor system that detects oil spills with a numerical simulation, an integrated data processing, analysis, forecasting and emergency response system was established. Once an oil spill accident occurs, the DDDAS-based oil spill model receives information about the oil slick extracted from the dynamic remote sensor data in the simulation. Through comparison, information fusion and feedback updates, continuous and more precise oil spill simulation results can be obtained. Then, the simulation results can provide help for disaster control and clean-up. The Penglai, Xingang and Suizhong oil spill results showed our simulation model could increase the prediction accuracy and reduce the error caused by empirical parameters in existing simulation systems. Therefore, the DDDAS-based detection and simulation system can effectively improve oil spill simulation and diffusion forecasting, as well as provide decision-making information and technical support for emergency responses to oil spills. |
研究领域[WOS] | Remote Sensing |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000357589800026 |
内容类型 | 期刊论文 |
源URL | [http://ir.ceode.ac.cn/handle/183411/38186] |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.[Yan, Jining 2.Wang, Lizhe 3.Chen, Lajiao 4.Zhao, Lingjun] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 5.[Yan, Jining 6.Zhao, Lingjun] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.[Wang, Lizhe] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China 8.[Huang, Bomin] Univ Wisconsin, Space Sci & Engn Ctr, Madison, WI 53706 USA |
推荐引用方式 GB/T 7714 | Yan, Jining,Wang, Lizhe,Chen, Lajiao,et al. A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea[J]. REMOTE SENSING,2015,7(6):105-114. |
APA | Yan, Jining,Wang, Lizhe,Chen, Lajiao,Zhao, Lingjun,&Huang, Bomin.(2015).A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea.REMOTE SENSING,7(6),105-114. |
MLA | Yan, Jining,et al."A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea".REMOTE SENSING 7.6(2015):105-114. |
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