基于船舶自动识别系统（AIS）大数据的海上石油泄漏事故敏感源与交通密度风险分析（英文）
发布时间：2021-11-28 05:39
This study developed a new methodology for analyzing the risk level of marine spill accidents from two perspectives, namely,marine traffic density and sensitive resources. Through a case study conducted in Busan, South Korea, detailed procedures of the methodology were proposed and its scalability was confirmed. To analyze the risk from a more detailed and microscopic viewpoint, vessel routes as hazard sources were delineated on the basis of automated identification system（AIS） big data. The out...
【文章来源】：Journal of Marine Science and Application. 2020,19(02)CSCD
【文章页数】：9 页
【文章目录】：
Article Highlights
1 Introduction
2 Framework of Risk Analysis
2.1 Hazard of Risk Sources
2.2 Vulnerability of Sensitive Resources
2.3 Risk Analysis
3 Case Study:Methodology and Results
3.1 Study Area
3.2 Hazard Assessment Using AIS Big Data
3.3 Vulnerability Assessment Using the Sensitive Resource Map
3.4 SRTD Risk Analysis Results and Discussion
4 Conclusion
本文编号：3523815
【文章来源】：Journal of Marine Science and Application. 2020,19(02)CSCD
【文章页数】：9 页
【文章目录】：
Article Highlights
1 Introduction
2 Framework of Risk Analysis
2.1 Hazard of Risk Sources
2.2 Vulnerability of Sensitive Resources
2.3 Risk Analysis
3 Case Study:Methodology and Results
3.1 Study Area
3.2 Hazard Assessment Using AIS Big Data
3.3 Vulnerability Assessment Using the Sensitive Resource Map
3.4 SRTD Risk Analysis Results and Discussion
4 Conclusion
本文编号：3523815
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