Spatial Distribution Characteristics of Oil Spills in the Bohai Sea Based on Satellite Remote Sensing and GIS
Bing, L; Xing, QG; Liu, X; Zou, NN
刊名JOURNAL OF COASTAL RESEARCH
2019
页码164-170
关键词Oil spill oil pollution index (OPI) satellite remote sensing spatial distribution characteristics the Bohai Sea
ISSN号0749-0208
DOI10.2112/SI90-020.1
产权排序[Bing, Lei ; Xing, Qian-Guo ; Liu, Xin] Yantai Inst Coastal Zone Res YIC, Shandong Key Lab Coastal Environm Proc YICCAS, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China ; [Bing, Lei ; Xing, Qian-Guo ; Liu, Xin] Univ Chinese Acad Sci, Beijing, Peoples R China ; [Zou, Na-Na] Cent S Univ, Sch Math & Stat, Changsha, Hunan, Peoples R China
文献子类Article
英文摘要In recent years, on account of the vast and persistent damage of oil spill accidents, it becomes essential to carry out a further study on oil spill distribution characteristics on sea. Routine satellite remote sensing surveillance on oil spills with Synthetic Aperture Radar (SAR) proved to be ideal for analyzing distribution of oil pollution in macro scale. In this research work, considering the presence of "look-alikes" phenomena on SAR images as well as current operational application of "confidence level", a confidence-oriented oil spill geodatabase is initially designed and built for quantification analysis. Then, in view of the requirement of marine grid management, a common framework based on remote sensing and Geographic Information System (GIS) is proposed to map and reveal the spatial distribution of oil pollution, in the process of which, oil pollution index (OPI) is put forward to evaluate oil pollution levels, then oil pollution distribution map can be compiled in terms of OPI, and the relationship between oil pollution and oil spill risk source can be further analyzed. Finally, a case study of the Bohai Sea and the north of the Yellow Sea with five-year's inter-annual satellite monitoring data was studied. The results showed that, during the period between 2009 and 2013, the high frequency grids of potential oil spills mainly distributed in the Bohai Bay and the south of the Liaodong Bay. 77.03 % of detected oil spills were within a certain distance along the sea lanes or near the offshore platforms, indicating a high risk of oil pollution of these areas. Generally, this research work also benefits for yield for the first time a rather comprehensive distribution characteristics of potential oil spills in macro scale in the Bohai Sea combined with remote sensing and GIS technique, which will be beneficial for oil spill response, preparedness and risk management.
WOS研究方向Environmental Sciences ; Geography, Physical ; Geosciences, Multidisciplinary
语种英语
WOS记录号WOS:000485714500021
资助机构Chinese Academy of SciencesChinese Academy of Sciences [XDA19060501, YJKYYQ20170048] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [41676171, 61890964] ; Qingdao National Laboratory for Marine Science and Technology of China [2016ASKJ02] ; Routine Satellite Remote Sensing Monitoring Project in the Bohai Sea and North of the Yellow Sea by Yantai Maritime Safety Administration
内容类型期刊论文
源URL[http://ir.yic.ac.cn/handle/133337/24924]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
作者单位1.Yantai Inst Coastal Zone Res YIC, Shandong Key Lab Coastal Environm Proc YICCAS, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China;
2.Cent S Univ, Sch Math & Stat, Changsha, Hunan, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China;
推荐引用方式
GB/T 7714
Bing, L,Xing, QG,Liu, X,et al. Spatial Distribution Characteristics of Oil Spills in the Bohai Sea Based on Satellite Remote Sensing and GIS[J]. JOURNAL OF COASTAL RESEARCH,2019:164-170.
APA Bing, L,Xing, QG,Liu, X,&Zou, NN.(2019).Spatial Distribution Characteristics of Oil Spills in the Bohai Sea Based on Satellite Remote Sensing and GIS.JOURNAL OF COASTAL RESEARCH,164-170.
MLA Bing, L,et al."Spatial Distribution Characteristics of Oil Spills in the Bohai Sea Based on Satellite Remote Sensing and GIS".JOURNAL OF COASTAL RESEARCH (2019):164-170.
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