Hostname: page-component-76fb5796d-9pm4c Total loading time: 0 Render date: 2024-04-26T14:55:08.127Z Has data issue: false hasContentIssue false

Research on navigation risk of the Arctic Northeast Passage based on POLARIS

Published online by Cambridge University Press:  10 February 2022

Lei An
Affiliation:
Navigation College, Dalian Maritime University, Dalian116026, China.
Long Ma*
Affiliation:
Maritime College, Guangdong Ocean University, Zhanjiang524005, China
Hui Wang
Affiliation:
Navigation College, Dalian Maritime University, Dalian116026, China.
Heng-Yu Zhang
Affiliation:
Navigation College, Dalian Maritime University, Dalian116026, China.
Zhen-Hua Li
Affiliation:
Panjin Customs District P.R. CHINA, Panjin124221, China
*
*Corresponding author. E-mail: home218@126.com

Abstract

The complex sea ice conditions in Arctic waters has different impacts on the legs of the Arctic passage, and ships of specific ice classes face different navigation risks. Therefore, the quantitative analysis of the navigation risks faced in different legs has important practical significance. Based on the POLARIS introduced by IMO, the sea ice condition data from 2011 to 2020 was used to quantify the navigation risk of the Arctic Northeast passage. The risk index outcome (RIO) of the Arctic Northeast Passage were calculated. The navigable windows of the route for ice class 1A ships sailing independently under different sea ice conditions in the last decade were determined, with a navigable period of 91 days under normal sea ice conditions, approximately 175 days under light sea ice conditions and only week 40 close to navigation under severe sea ice conditions. The three critical waters affecting the safety of ships were identified. Combined with the navigable windows and critical waters, recommendations on ship's navigation and manipulation and recommendations for stakeholders were given. The method and results provided reference and support for the assessment of the navigation risk of ships in the Northeast Passage and safety navigation and operations of ships, and satisfied the needs of relevant countries and enterprises to rationally arrange shipment dates and sailing plans based on different ice classes of ships.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Afenyo, M., Khan, F., Veitch, B. and Yang, M. (2017). Arctic shipping accident scenario analysis using Bayesian Network approach. Ocean Engineering, 133, 224230. doi:10.1016/j.oceaneng.2017.02.002CrossRefGoogle Scholar
Baksh, A., Abbassi, R., Garaniya, V. and Khan, F. (2018). Marine transportation risk assessment using Bayesian Network: application to Arctic waters. Ocean Engineering, 159, 422436. doi:10.1016/j.oceaneng.2018.04.024CrossRefGoogle Scholar
China Maritime Safety Administration. (2014). Navigation Guide for the Arctic Northeast Passage. Beijing: People's Communications Publishing House Co., Ltd.Google Scholar
Cui, H. Y., Qiao, F. L. and Shu, Q. (2015). Reasons for the increase minimum Arctic sea ice extent in 2013 compared with 2012. Haiyang Xuebao, 37, 2332. doi:10.3969/j.issn.0253-4193.2015.11.003Google Scholar
Fu, S., Zhang, D., Zhang, M. Y. and Yan, X. P. (2017). Identification of environmental risk influencing factors for ship operations in Arctic waters. Journal of Harbin Engineering University, 38, 16821688. doi:10.11990/jheu.201606050Google Scholar
Fu, S., Yan, X., Zhang, D. and Zhang, M. (2018). Risk influencing factors analysis of Arctic maritime transportation systems: A Chinese perspective. Maritime Policy & Management, 45, 439455. doi:10.1080/03088839.2018.1448477CrossRefGoogle Scholar
He, S. F., Ping, Y. and Zhang, W. H. (2013). Influence of Arctic Passage on China's trade potential: An empirical research based on stochastic frontier gravity model. International Trade Problem, 8, 312. doi:10.13510/j.cnki.jit.2013.08.001Google Scholar
Hu, S. P., Xuan, S. Y., Liu, Y., Fu, S. S. and Xi, Y. T. (2019). Dynamic simulation of process risk on ship navigation at the Arctic Northeast Route. Chinese Journal of Polar Research, 31, 8493. doi:10.13679/j.jdyj.20180025Google Scholar
Johannessen, O. M., Sandven, S., Pettersson, L. H., Lundhaug, M., Dalen, O. and Alexandrov, V. Y. (2001). Seasonal sea ice studies in the kara sea region using satellite radar data. IEEE International Geoscience & Remote Sensing Symposium, 3, 12521254.Google Scholar
Khan, B., Khan, F., Veitch, B. and Yang, M. (2018). An operational risk analysis tool to analyze marine transportation in Arctic waters. Reliability Engineering & System Safety, 169, 485502. doi:10.1016/j.ress.2017.09.014CrossRefGoogle Scholar
Krumpen, T. (2013). Variability and trends in laptev sea ice outflow between 1992–2011. The Cryosphere, 7, 349363. doi:10.5194/tc-7-349-2013CrossRefGoogle Scholar
Kum, S. and Sahin, B. (2015). A root cause analysis for Arctic Marine accidents from 1993 to 2011. Safety Science, 74, 206220. doi:10.1016/j.ssci.2014.12.010CrossRefGoogle Scholar
Kwok, R. (2018). Arctic sea ice thickness, volume, and multiyear ice coverage: Losses and coupled variability (1958–2018). Environmental Research Letters, 13, 105005. doi:10.1088/1748-9326/aae3ecCrossRefGoogle Scholar
Laxon, S. W., Giles, K. A., Ridout, A. L., Wingham, D. J., Willatt, R., Cullen, R., Kwok, R., Schweiger, A., Zhang, J., Hass, C., Hendricks, S., Krishfield, R., Kurtz, N., Farrell, S. and Davidson, M. (2013). CryoSat-2 estimates of Arctic sea ice thickness and volume. Geophysical Research Letters, 40, 732737. doi:10.1002/grl.50193CrossRefGoogle Scholar
Lee, H. W., Roh, M. I. and Kim, K. S. (2021). Ship route planning in Arctic Ocean based on POLARIS. Ocean Engineering, 234, 109297.CrossRefGoogle Scholar
Li, T., Zhao, J. P. and Zhu, D. Y. (2009). Variations of sea ice cover in East Siberian Sea of Arctic Ocean in 1997–2005. Journal of Glaciology and Geocryology, 31, 822828.Google Scholar
Liu, X. H., Ma, L., Wang, J. Y., Wang, Y. and Wang, L. N. (2017). Navigable windows of the Northwest Passage. Polar Science, 13, 9199. doi:10.1016/j.polar.2017.02.001CrossRefGoogle Scholar
Liu, T. C., Li, Z. F. and Chen, Z. (2018). On the safety evaluation of the Arctic route based on the regret theory. Journal of Safety and Environment, 18, 20692074. doi:10.13637/j.issn.1009-6094.2018.06.003Google Scholar
Ma, L., Wang, J. Y., Liu, X. H. and Li, Z. H. (2018a). Research in navigable windows of the Northeast Passage. Marine Forecasts, 35, 5259. doi:10.11737/j.issn.1003-0239.2018.01.007Google Scholar
Ma, L., Li, Z. H., Chen, G. W. and Li, Y. L. (2018b). Research on the navigability of the Arctic Northeast Passage based on sea ice conditions during the passage of M/V Yongsheng. Polar Research, 30, 173185. doi:10.13679/j.jdyj.20170017Google Scholar
Ma, L., Liu, X. H., Li, Z. H. and Wang, L. N. (2018c). Ice conditions of key water areas along the “Yongsheng” Northeast Passage in Arctic Ocean. Navigation of China, 41, 122127.Google Scholar
Meng, S., Li, M., Tian, Z. X. and Zhang, L. (2013). Characteristics of the sea ice variation in the Arctic Northeast Passage. Marine Forecasts, 30, 813. doi:10.11737/j.issn.1003-0239.2013.02.002Google Scholar
Plotnikov, V. V. and Pustoshnova, V. I. (2012). Variability and conjugacy of ice conditions in the system of East Arctic Seas (the Laptev, East Siberian, and Chukchi Seas). Russian Meteorology and Hydrology, 37, 468476.CrossRefGoogle Scholar
Rigor, I. G., Wallace, J. M. and Colony, R. L. (2002). Response of sea ice to Arctic Oscillation. Journal of Climate, 15, 26482663.2.0.CO;2>CrossRefGoogle Scholar
Sahin, B. and Kum, S. (2015). Risk assessment of Arctic navigation by using improved fuzzy-AHP approach. International Journal of Maritime Engineering, 157, 241250, 2069–2074.Google Scholar
Shyu, W. and Ding, J. (2016). Key factors influencing the building of Arctic shipping routes. Journal of Navigation, 69(6), 12611277. doi:10.1017/S0373463316000254CrossRefGoogle Scholar
Wang, R., Li, J. D., Wu, J. Y. and Sun, Q. (2019). Research on the evaluation model of navigable environment in the Arctic area. Hydrographic Surveying and Charting, 39, 2125. doi:10.3969 /j. issn.1671-3044.2019.05.006Google Scholar
Xue, Y. G., Guan, H., Dong, Z. Y. and Chen, F. (2014). Analysis of changes of Arctic sea ice extents in recent 40 years. Marine Forecasts, 31, 8591. doi:10.11737/j.issn.1003-0239.2014.04.012Google Scholar
Zhang, T., Huang, J., Cao, Y., Wang, L., Sun, Y. and Yang, L. (2019). Spatiotemporal variation of sea ice concentration in important Arctic straits is heterogeneous. Remote Sensing Technology and Application, 34, 11621172. doi:10.11873/j.issn.1004/0323.2019.6.1162Google Scholar
Zuo, Z. D., Gao, G. P., Cheng, Q. L. and Xu, F. X. (2016). Preliminary analysis of kinematic characteristics of Arctic sea ice from 1979 to 2012. Haiyang Xuebao, 38, 5769. doi:10.3969/j.issn.0253-4193.2016.05.006Google Scholar