Risk Assessment Dataset for Arctic Navigation of Arc4 Ice-class Vessels (2014-2023)
MA Long1,2,3QIAN Sihan*1,3FAN Jiemin1XU Jin1,3,4CAO Liang1,2,3LI Xiaowen2CAI Chengcheng5ZHOU Meijie1,2
1 Naval Architecture and Shipping College，Guangdong Ocean University，Zhanjiang 524088，China2 Key Laboratory of Philosophy and Social Science in Hainan Province of Hainan Free Trade Port International Shipping Development and Property Digitization，Hainan Vocational University of Science and Technology，Haikou 570100，China3 Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching，Guangdong Ocean University，Zhanjiang 524088，China4 Shenzhen Institute of Guangdong Ocean University，Shenzhen 518116，China5 Merchant Marine College，Shanghai Maritime University，Shanghai 201306，China
DOI:10.3974/geodb.2025.01.07.V1
Published:Jan. 2025
Visitors：975 Data Files Downloaded：10
Data Downloaded：12754.94 MB Citations：
Key Words：
POLARIS,Arctic water,Arc4 Ice-class Vessels,navigation risk
Abstract：
Risk Assessment Dataset for Arctic Navigation of Arc4 Ice-class Vessels (2014-2023) was developed based on the sea ice data from 2014 to 2023 and the Polar Operational Limit Assessment Risk Indexing System (POLARIS). The dataset shows the dynamic changes and distribution of risk areas for Arc4 ice-class vessels in Arctic waters over the past decade. The dataset includes RIO values and land cover types for Arc4 ice-class vessels, recorded at seven-day intervals from 2014 to 2023. RIO values typically range between -30 and 30, with -100 indicating impassable conditions. Land cover is categorized into five types: land (L), ice (I), water (W), ice shelf/land ice (S), and no data (N). The dataset is archived in .shp format, and consists of 2,554 data files with data size of 5.42 GB (Compressed into three files with 3.70 GB). The finding article from the dataset have been published at Journal of Marine Science and Engineering, Volume 12, Issue 12, 2024.
Foundation Item：
Guangdong Ocean University (060302132106, 080508132401, 202421); Natural Science Foundation of Guangdong Province (2022A1515011603, 2023A1515011212); Department of Education of Guangdong Province (2022ZDZX3005); Natural Science Foundation of Shenzhen (JCYJ20220530162200001)
Data Citation：
MA Long, QIAN Sihan*, FAN Jiemin, XU Jin, CAO Liang, LI Xiaowen, CAI Chengcheng, ZHOU Meijie. Risk Assessment Dataset for Arctic Navigation of Arc4 Ice-class Vessels (2014-2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.01.07.V1.
References：
[1] Anon. SIGRID-3: A vector archive format for sea ice georeferenced information and data. Version 3.0 [J/OL]. 2014. [2024-12-24]. https://repository.oceanbestpractices.org/handle/11329/97.2. DOI: 10.25607/OBP-1498.
[2] Maritime Safety Committee. Guidance on methodologies for assessing operational capabilities and limitations in ice [R]. Tech. Rep. MSC. 1/Circ. 1519, International Maritime Organization, London. 2016. https://www.nautinst.org/uploads/assets/uploaded/2f01665c-04f7-4488-802552e5b5db62d9.pdf, 2016.
[3] Canadian Ice Service. Canadian Ice Service Arctic regional sea ice charts in SIGRID-3 format, Version 1 [M/OL]. NSIDC. 2009. https://nsidc.org/sites/default/files/g02171-v001-userguide_1_0.pdf. DOI: 10.7265/N51V5BW9.
[4] Bond, J., Hindley, R., Kendrick, A., et al. Evaluating risk and determining operational limitations for ships in ice [C] // OTC Arctic Technology Conference. OTC. 2018: D023S013R002.
[5] Bond, J., Oldford, D. Use of environmental data to estimate polar waters operational window [C] // OTC Arctic Technology Conference. OTC, 2018: D023S013R003.
[6] Panchi, N., Kim, E., Xu, S. Do vessels remain within their operational limitations in ice? Analyzing the risks of vessels operating in the Kara Sea Region using POLARIS [C] // International Conference on Offshore Mechanics and Arctic Engineering. American Society of Mechanical Engineers, 2020, 84393: V007T07A007.
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Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
RIO_2014_2016.rar |
1139920.63KB |
|
| 2 |
RIO_2017_2019.rar |
1371112.86KB |
|
| 3 |
RIO_2020_2023.rar |
1379814.56KB |
|