Spatial and temporal changes in ablation, distribution and evolution of glacial zones on Irenebreen, a small glacier of the High Arctic, Svalbard

Wójcik, Kornelia Anna; Sobota, Ireneusz

doi:10.1016/j.polar.2020.100503

Cited by 7 publications

(9 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All in all, these results show that GIS-based MCDA provides satisfactory results in mapping glacier vulnerability areas. Additionally, the results show that the topographical factors are strongly correlated with the vulnerability of mountain glaciers, which parallels the results of similar vulnerability studies [16,68]. Yang et.…”

Section: Discussionsupporting

confidence: 86%

“…These results are also in agreement with Wójcik and Sobota's (2020) findings. According to the results, the spatial distribution of ablation in Irenebreen glacier was shown to depend mainly on weather conditions and also on local topographic conditions [68].…”

Section: Discussionmentioning

confidence: 96%

“…In this study, a GIS-based MCDA approach was chosen to overcome this complexity since it is one of the most feasible ways to determine the vulnerable areas of mountain glaciers. Previously, different models were used to define the vulnerability of glaciers and successful results were achieved by these models [13,16,68]. The present study was designed to determine the spatial distribution of the vulnerability of the Agrı Mountain glacier and assess the forecasting capabilities of the GIS-based MCDA model for determining the zones of glacier retreat in order of priority.…”

Section: Discussionmentioning

confidence: 99%

“…It is very important to create a glacier vulnerability map to forecast retreat zones in order of priority. It is notably interesting to analyze the spatial patterns of melting zones to identify areas most vulnerable to melting, so it helps to identify changes in glacial geometry [68,69]. However, the spatial distribution of the glacier retreat does not show homogeneity and has a complex structure, especially due to topographical factors.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

A GIS-Based Multi-Criteria Decision Analysis Model for Determining Glacier Vulnerability

Yalçın

2020

IJGI

View full text Add to dashboard Cite

Investigating the causes of the spatial heterogeneity of glacial changes offers vital information about glacial behavior and provides forecasting ability to define where glacier retreat may occur in the future. This study was designed to determine the spatial distribution of Ağrı Mountain glacier vulnerability. The main goal of the current study was to assess the forecasting capabilities of Geographical Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA) for determining the location of the mountain glacier retreat. To estimate the glacier retreat, the following criteria were selected: elevation, aspect, slope, direction, and glacier surface temperature anomaly (GSTA). The entropy method was used for weighting the criteria for the evaluation of the vulnerable areas of the glacier. The results of this method clearly indicate a strong relationship between GSTA, direction, and elevation criteria and glacier retreat. The glacier vulnerability map was created by synthesizing criteria layers with their weights. The vulnerability map provided a consistency of 77.8% in the short term and 92.1% in the long term. In the study, the priority melting zones were determined and glacial retreat locations were forecasted in 10-year periods.

show abstract

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

A GIS-Based Multi-Criteria Decision Analysis Model for Determining Glacier Vulnerability

Yalçın

2020

IJGI

View full text Add to dashboard Cite

show abstract

“…This is significantly higher than the minimum snow cover extents found on the six investigated glaciers during the 2016-19 period. In another study, Wójcik and Sobota (2020) investigated Irene glacier on the Kaffiøyra plain, northwestern Spitsbergen. Here, intense ablation was found to occur up to 400-450 m a.s.l., where no snow cover persisted.…”

Section: Discussionmentioning

confidence: 99%

Seasonal dynamics of snow ablation on selected glaciers in central Spitsbergen derived from Sentinel-2 satellite images

Kavan

Haagmans

2021

J. Glaciol.

View full text Add to dashboard Cite

The dynamics of seasonal snow ablation on six glaciers in central Spitsbergen (Dicksonland) were assessed by examining a set of Sentinel-2 satellite images covering the summer ablation season for the period 2016–19. All glaciers lost 80% or more of their surface snow cover during the studied ablation seasons. This bolsters the recently observed trend of local glacier thinning, even at higher altitudes. Snow ablation dynamics are highly dependent on the glaciers altitudes, their position relative to the prevailing wind direction and the exposure to insolation. The accumulation areas of the studied glaciers were delimited based on the overlap of the minimum extent of snow-covered areas in the four consecutive studied summer seasons. The high temporal and spatial resolutions of available images enabled a detailed description of the seasonal snow ablation dynamics. Moreover, an estimate of the average number of days with below threshold glacier snow cover was made. This study contributes to our understanding of recent processes and might further support the modelling of glacier melt and subsequent runoff.

show abstract

Predictive mapping of glacial sediment properties (Bellingshausen Dome, King George Island, Antarctica)

Suleymanov,

Nizamutdinov,

Mavlyudov

et al. 2024

Environ Earth Sci

View full text Add to dashboard Cite

Spatial and temporal changes in ablation, distribution and evolution of glacial zones on Irenebreen, a small glacier of the High Arctic, Svalbard

Cited by 7 publications

References 31 publications

A GIS-Based Multi-Criteria Decision Analysis Model for Determining Glacier Vulnerability

A GIS-Based Multi-Criteria Decision Analysis Model for Determining Glacier Vulnerability

Seasonal dynamics of snow ablation on selected glaciers in central Spitsbergen derived from Sentinel-2 satellite images

Predictive mapping of glacial sediment properties (Bellingshausen Dome, King George Island, Antarctica)

Contact Info

Product

Resources

About