scholarly journals Towards an automatic ice navigation support system in the Arctic area

2021 ◽  
Author(s):  
Shahram Sattar
Keyword(s):  
Sea Ice ◽  
Voronoi Diagram ◽  
Support System ◽  
The Arctic ◽  
Navigation Systems ◽  
Viable Solution ◽  
Navigation Support ◽  
Northern Regions ◽  
Ice Navigation ◽  
Arctic Area

Conventional ice navigation through sea ice is manually operated by well-trained navigators, whose experiences are heavily relied upon to guarantee the ship's safety. Despite increasingly available ice data and information, little has been done to develop automatic ice navigation systems to better guide ships in sea ice. In this study firstly navigable sea areas for different types of ships were identified according to the navigation codes in northern regions. Secondly, three algorithms of path planning were adopted to automatically compute the safest-and-shortest ship routes based on the concepts of the Voronoi diagram, Visibility graph, and Visibility-Voronoi diagram, respectively. These algorithms and results were compared and evaluated in terms of different application scenarios. Results show that the Visibility-Voronoi approach seems to be the best viable solution in terms of computing performance and navigation safety. The work will provide a basis for further development towards an automatic ice navigation support system

scholarly journals Towards an automatic ice navigation support system in the Arctic area

2021 ◽  
Author(s):  
Shahram Sattar
Keyword(s):  
Sea Ice ◽  
Voronoi Diagram ◽  
Support System ◽  
The Arctic ◽  
Navigation Systems ◽  
Viable Solution ◽  
Navigation Support ◽  
Northern Regions ◽  
Ice Navigation ◽  
Arctic Area

Conventional ice navigation through sea ice is manually operated by well-trained navigators, whose experiences are heavily relied upon to guarantee the ship's safety. Despite increasingly available ice data and information, little has been done to develop automatic ice navigation systems to better guide ships in sea ice. In this study firstly navigable sea areas for different types of ships were identified according to the navigation codes in northern regions. Secondly, three algorithms of path planning were adopted to automatically compute the safest-and-shortest ship routes based on the concepts of the Voronoi diagram, Visibility graph, and Visibility-Voronoi diagram, respectively. These algorithms and results were compared and evaluated in terms of different application scenarios. Results show that the Visibility-Voronoi approach seems to be the best viable solution in terms of computing performance and navigation safety. The work will provide a basis for further development towards an automatic ice navigation support system

scholarly journals Towards an Automatic Ice Navigation Support System in the Arctic Sea

2021 ◽  
Author(s):  
Xintao Liu ◽  
Shahram Sattar ◽  
Songnian Li
Keyword(s):  
Support System ◽  
Indoor Navigation ◽  
The Arctic ◽  
Emergency Situations ◽  
Arctic Sea ◽  
Navigation Support ◽  
Northern Regions ◽  
Ice Navigation ◽  
Navigation Service ◽  
Sea Area

Conventional ice navigation in the sea is manually operated by well-trained navigators, whose experiences are heavily relied upon to guarantee the ship’s safety. Despite the increasingly available ice data and information, little has been done to develop an automatic ice navigation support system to better guide ships in the sea. In this study, using the vector-formatted ice data and navigation codes in northern regions, we calculate ice numeral and divide sea area into two parts: continuous navigable area and the counterpart numerous separate unnavigable area. We generate Voronoi Diagrams for the obstacle areas and build a road network-like graph for connections in the sea. Based on such a network, we design and develop a geographic information system (GIS) package to automatically compute the safest-and-shortest routes for different types of ships between origin and destination (OD) pairs. A visibility tool, Isovist, is also implemented to help automatically identify safe navigable areas in emergency situations. The developed GIS package is shared online as an open source project called NavSpace, available for validation and extension, e.g., indoor navigation service. This work would promote the development of ice navigation support system and potentially enhance the safety of ice navigation in the Arctic sea.

scholarly journals Towards an Automatic Ice Navigation Support System in the Arctic Sea

2021 ◽  
Author(s):  
Xintao Liu ◽  
Shahram Sattar ◽  
Songnian Li
Keyword(s):  
Support System ◽  
Indoor Navigation ◽  
The Arctic ◽  
Emergency Situations ◽  
Arctic Sea ◽  
Navigation Support ◽  
Northern Regions ◽  
Ice Navigation ◽  
Navigation Service ◽  
Sea Area

Conventional ice navigation in the sea is manually operated by well-trained navigators, whose experiences are heavily relied upon to guarantee the ship’s safety. Despite the increasingly available ice data and information, little has been done to develop an automatic ice navigation support system to better guide ships in the sea. In this study, using the vector-formatted ice data and navigation codes in northern regions, we calculate ice numeral and divide sea area into two parts: continuous navigable area and the counterpart numerous separate unnavigable area. We generate Voronoi Diagrams for the obstacle areas and build a road network-like graph for connections in the sea. Based on such a network, we design and develop a geographic information system (GIS) package to automatically compute the safest-and-shortest routes for different types of ships between origin and destination (OD) pairs. A visibility tool, Isovist, is also implemented to help automatically identify safe navigable areas in emergency situations. The developed GIS package is shared online as an open source project called NavSpace, available for validation and extension, e.g., indoor navigation service. This work would promote the development of ice navigation support system and potentially enhance the safety of ice navigation in the Arctic sea.

scholarly journals Towards an Automatic Ice Navigation Support System in the Arctic Sea

2016 ◽  
Vol 5 (3) ◽  
pp. 36 ◽  
Author(s):  
Xintao Liu ◽  
Shahram Sattar ◽  
Songnian Li
Keyword(s):  
Support System ◽  
The Arctic ◽  
Arctic Sea ◽  
Navigation Support ◽  
Ice Navigation

Impact of Sea Ice Compression on Navigation Performance

2017 ◽  
Author(s):  
Genki Sagawa
Keyword(s):  
Numerical Model ◽  
Sea Ice ◽  
Static Condition ◽  
Performance Estimation ◽  
The Arctic ◽  
Dynamical Processes ◽  
Speed Reduction ◽  
Ship Navigation ◽  
Arctic Ice ◽  
Ice Navigation

Ship navigation performance in the Arctic ice-covered sea was investigated from various kinds of satellite data and a numerical model of sea ice. The effect of dynamical processes of ice on the performance was especially examined, for it was not focused enough in previous studies. As a result, it was found that ice stress can explain some parts of the navigation when high amount of speed reduction occurred in thin ice area, and vice versa. The result indicates an importance of considering dynamical processes of ice in addition to static condition of ice, to improve an accuracy of an ice navigation performance estimation.

A Study on the Change of Arctic Ocean Surface Temperature in CESM

2020 ◽  
Author(s):  
Peiyan Xie ◽  
Hailun He ◽  
Shuang Li
Keyword(s):  
Sea Ice ◽  
Surface Temperature ◽  
Global Climate ◽  
The Arctic ◽  
Lower Latitude ◽  
Surface Warming ◽  
Arctic Sea ◽  
Community Earth System Model ◽  
The Arctic Oscillation ◽  
Arctic Area

<p>Since the 1950s, human has begun to explore the Arctic area. As the scientific research goes further, scientists gradually realize the important role the Arctic plays in the global climate system, and it has been said the Arctic has an amplifying effect on surface warming, which increases 2 to 3 times faster than the global average increment. Given the importance of this area, we try to figure out the relationship among the Arctic sea surface temperature (SST), sea ice index and the Arctic Oscillation (AO) in this paper. By using Community Earth System Model (CESM), we calculated an ocean-seaice-atmosphere coupled 200-year experiment. As a result, we found out that the variation of Arctic SST is negatively correlated with the change of sea ice area. There is a significant correlation between the change of SST and AO, which can lead to the anomaly of air heat transport between the Arctic area and the areas in lower latitude.</p>

scholarly journals Calculation of northern hemisphere sea ice area using recurrent neural networks

2021 ◽  
Vol 937 (4) ◽  
pp. 042094
Author(s):  
D Viatkin ◽  
D Zhuro ◽  
M Zakharov ◽  
S Malysheva
Keyword(s):  
Sea Ice ◽  
Northern Hemisphere ◽  
Area Measurement ◽  
The Arctic ◽  
Arctic Zone ◽  
Data Preparation ◽  
Logistics System ◽  
Ship Traffic ◽  
Sustainable Logistics ◽  
Northern Regions

Abstract Ice covering water surfaces causes difficulties for ship traffic in the northern regions. Developing a sustainable logistics system that describes and manages ship traffic requires consideration of many factors, one of which is the area of sea ice covering the waterways. Most of the volume of sea ice in the northern hemisphere is concentrated in the Arctic zone. The paper describes the process and results of data preparation and development of a recurrent neural network to determine the value of ice area change in the next 50 days relative to the last day of sea ice area measurement. The prediction is made based on the previous 30 measured values of sea ice area and a user-specified value of the day for which the prediction will be made. The work uses NSIDC open dataset on sea ice area for the northern hemisphere. This model allows us to calculate the change of sea ice area for 1 day ahead with an accuracy of 0.581%. For the 50-day prediction of ice area, the accuracy is 4.017%.

Extreme Sea Ice Loss over the Arctic: An Analysis Based on Anomalous Moisture Transport

2016 ◽  
Author(s):  
Marta Vázquez ◽  
Raquel Nieto ◽  
Anita Drumond ◽  
Luis Gimeno
Keyword(s):  
Sea Ice ◽  
Moisture Transport ◽  
The Arctic

Investigations of past climate and sea-ice variability in the fjord area by Station Nord, eastern North Greenland

1969 ◽  
Vol 35 ◽  
pp. 67-70 ◽  
Author(s):  
Niels Nørgaard-Pedersen ◽  
Sofia Ribeiro ◽  
Naja Mikkelsen ◽  
Audrey Limoges ◽  
Marit-Solveig Seidenkrantz
Keyword(s):  
Sea Ice ◽  
Outer Part ◽  
Late Summer ◽  
Field Work ◽  
The Arctic ◽  
Research Station ◽  
Fjord System ◽  
Sea Bottom ◽  
Satellite Radar ◽  
North Greenland

The marine record of the Independence–Danmark fjord system extending out to the Wandel Hav in eastern North Greenland (Fig. 1A) is little known due to the almost perennial sea-ice cover, which makes the region inaccessible for research vessels (Nørgaard-Pedersen et al. 2008), and only a few depth measurements have been conducted in the area. In 2015, the Villum Research Station, a new logistic base for scientific investigations, was opened at Station Nord. In contrast to the early exploration of the region, it is now possible to observe and track the seasonal character and changes of ice in the fjord system and the Arctic Ocean through remote sensing by satellite radar systems. Satellite data going back to the early 1980s show that the outer part of the Independence–Danmark fjord system is characterised by perennial sea ice whereas both the southern part of the fjord system and an area 20–30 km west of Station Nord are partly ice free during late summer (Fig. 1B). Hence, marine-orientated field work can be conducted from the sea ice using snow mobiles, and by drilling through the ice to reach the underlying water and sea bottom.

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