Environmental Risk Analysis of Different Segments of The Arctic Northeast Route
DOI:
https://doi.org/10.54097/66fnfz72Keywords:
Arctic northeast route; Navigation environment analysis; Fuzzy level analysis; Fuzzy comprehensive evaluation.Abstract
There are huge differences in the sea ice conditions, climate and environment, geographical conditions and communication conditions in the Arctic waters, and the equipment and navigation requirements of ships are also different. In order to ensure the safety and success of the ships, through the route, this paper using fuzzy level analysis (Fuzzy Analytic Hierarchy Process, FAHP), build the northeast arctic route risk evaluation index system, targeted analysis of different segments, the results show that: (1) although the sea risk point is different but the natural environment risk has a significant impact on the arctic waters.(2) The risk coefficient of Arctic route is higher than that of traditional ordinary routes. Among the five sea areas in this study, Chukchi Sea is the highest, followed by East Belia Sea. The crew need to pay more attention when sailing.(3) The research in this paper can provide a reference for the navigation safety of the northeast Arctic shipping route.
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References
Ford J D, McDowell G, Jones J. An Evaluation of the Arctic Route's Navigation Environment. Environmental Research Letters, 2014, 9(10): 104005.
Research on Model Establishment of Environment Evaluation of Arctic Route Navigation.
Key Factors Influencing the Building of Arctic Shipping Routes.
Li Zhenfu. Study on the Geopolitical Security Index of the Arctic Route. Computer Engineering and Applications, 2011, 47(35): 237-241.
Ma Xiaoxue, Zhou Qun, Liu Yang. Research on the Safety Evaluation of the Arctic Route from the Perspective of Resilience Theory - Based on the Bayesian Network Method. Mathematics in Practice and Theory, 2020, 50(11): 299-308.
Cao Yunfeng, Yu Meng, Hui Fengming, et al. Progress in Research on Navigation Capability Changes in the Arctic Ice Zone. Science Bulletin, 2021, 66(01): 21-33.
Li Fengpeng, Cui Wei, Liu Zhenqiang. Multidimensional Index Evaluation of Navigation Risks in the Arctic Waterway Based on the DSR Model. Computer Simulation, 2022, 39(10): 138-142.
Jia Zhizun. Research on Sino-Russian Cooperation in the Development of the Northern Sea Route. Jilin University, 2022.
He Peilong, Ma Xiaoxue, Zhang Jingwen, et al. Risk Evaluation of Different Segments of the Arctic Northeast Route Based on Fuzzy Hierarchical Analysis - Multi-level Extension. Polar Research, 2021, 33(2): 279-293.
Liu Yiyong. Economic Viability and Emergency Response to Marine Incidents on the Arctic Route: A Complex Network Study. Dalian Maritime University, 2016.
Tian Jing, Zhang He, Wu Yue, Li Xuehua, Lu Hui. Application and Reflection of Remote Consultation in Arctic Medical Rescue. South China Journal of Defense Medicine, 2022, 36(05): 396-399.
Xiao Yang. Arctic Air and Sea Search and Rescue Cooperation: Achievements, Problems, and Prospects. Journal of Ocean University of China (Social Science Edition), 2014, No.134(03): 8-13.
Fan Houming, Zhao Qiqi, Liu Yiyong. Emergency Response Complex Network for Arctic Maritime Rescue. China Navigation, 2016, 39(02): 76-81+105.
Fan Houming, Li Xiaoxuan, Liu Yiyong, et al. Evolutionary Game Simulation Study on Arctic Environmental Governance Response Complex Network. Management Review, 2017, 29(2): 26-34.
Fan Houming, Zhao Qiqi, Liu Yiyong. Emergency Response Complex Network for Arctic Maritime Rescue. China Navigation, 2016, 39(2): 76-81+105.
Christodoulou A, Dalaklis D, Raneri P, et al. An overview of the legal search and rescue framework and related infrastructure along the Arctic Northeast Passage. Marine Policy, 2022, 138: 104985.
Warfield J N. Societal systems planning, policy and complexity. Cybernetics and System, 1978, 8(1): 113-115.
Cai Changlin. Reachability Matrix and Structural Model of Systems. Journal of Systems Engineering, 1992(1): 145-152.
Xiao Renbin, Fei Qi. Research on the Interpretive Structural Modeling Algorithm. Systems Engineering Theory and Practice, 1993(2): 28-32+57.
Attri R, Dev N, Sharma V. Interpretive structural modelling (ISM) approach: an overview. Research journal of management sciences, 2013, 2319(2): 1171.
Yu V F, Chiang F Y, Le T H A, et al. Using the ISM Method to Analyze the Relationships between Various Contractor Prequalification Criteria. Applied Sciences, 2022, 12(8): 3726.
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