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Sensitive Resource and Traffic Density Risk Analysis of Marine Spill Accidents Using Automated Identification System Big Data 被引量:1
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作者 Eunlak Kim Hyungmin Cho +3 位作者 Namgyun Kim Eunjin Kim Jewan Ryu Heekyung Park 《Journal of Marine Science and Application》 CSCD 2020年第2期173-181,共9页
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 K... 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 outliers and errors of AIS big data were removed using the density-based spatial clustering of applications with noise algorithm,and a marine traffic density map was evaluated by combining all of the gridded routes.Vulnerability of marine environment was identified on the basis of the sensitive resource map constructed by the Korea Coast Guard in a similar manner to the National Oceanic and Atmospheric Administration environmental sensitivity index approach.In this study,aquaculture sites,water intake facilities of power plants,and beach/resort areas were selected as representative indicators for each category.The vulnerability values of neighboring cells decreased according to the Euclidean distance from the resource cells.Two resulting maps were aggregated to construct a final sensitive resource and traffic density(SRTD)risk analysis map of the Busan–Ulsan sea areas.We confirmed the effectiveness of SRTD risk analysis by comparing it with the actual marine spill accident records.Results show that all of the marine spill accidents in 2018 occurred within 2 km of high-risk cells(level 6 and above).Thus,if accident management and monitoring capabilities are concentrated on high-risk cells,which account for only 6.45%of the total study area,then it is expected that it will be possible to cope with most marine spill accidents effectively. 展开更多
关键词 SRTD risk analysis AIS big data Sensitive resource marine spill accidents marine traffic traffic density marine oil spill
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信息技术在地理实验教学中的应用研究——以Earth Nullschool和Marine Traffic两款软件为例
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作者 张超伟 《教育与装备研究》 2021年第12期74-76,共3页
信息技术与教学的深度融合是时代发展的必然要求。文中选取《冰上丝绸之路》作为课例,以Earth Nullschool和Marine Traffic两款软件为对象,进行信息技术在地理实验教学中的应用研究。研究表明,信息技术能够促进实验数据多“源”化、实... 信息技术与教学的深度融合是时代发展的必然要求。文中选取《冰上丝绸之路》作为课例,以Earth Nullschool和Marine Traffic两款软件为对象,进行信息技术在地理实验教学中的应用研究。研究表明,信息技术能够促进实验数据多“源”化、实验分析深度化、实验展示丰富化、实验评价开放化。 展开更多
关键词 信息技术 地理实验 深度学习 Earth Nullschool marine traffic
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