Melting of italian glaciers: analysis of the phenomenon in GIS environment

Italian glaciers began to melt in the second half of the 19th century. The quantification of melting over time has been described in Glaciers Inventories. The present research aims to contribute to the understanding of the dynamics governing glacier melting as a function of different glacier types and geomorphological parameters analysed in GIS environment. The extent variation of 13 Italian glaciers from 1958 was evaluated by means of automatic classification of aerial images in the Free and Open-Source software GRASS GIS. On-site inspections were carried out too, to identify portions of the glaciers not identifiable by image classification, as well as any peculiarities and boundary conditions. Moreover, the influence of geomorphological parameters and boundary conditions were investigated, extending the analysis to 15 additional glaciers. The results showed that glaciers have undergone different area reductions, which can be correlated with different geographical and geomorphological features. A higher tendency to melt was found in those glacial masses that had an initial size less than 1 km2, located in the western sector of the Alps, at medium-low altitudes and facing south. Moreover, the lack of feeding from the surrounding slopes and from glacial masses located at higher altitudes, the lack of snow cover or thick debris during the summer season and a dark geological bedrock increase the phenomenon.

Italian glaciers began to melt in the second half of the 19th century. The quantification of melting over time has been described in Glaciers Inventories. The present research aims to contribute to the understanding of the dynamics governing glacier melting as a function of different glacier types and geomorphological parameters analysed in GIS environment. The extent variation of 13 Italian glaciers from 1958 was evaluated by means of automatic classification of aerial images in the Free and Open-Source software GRASS GIS. On-site inspections were carried out too, to identify portions of the glaciers not identifiable by image classification, as well as any peculiarities and boundary conditions. Moreover, the influence of geomorphological parameters and boundary conditions were investigated, extending the analysis to 15 additional glaciers. The results showed that glaciers have undergone different area reductions, which can be correlated with different geographical and geomorphological features. A higher tendency to melt was found in those glacial masses that had an initial size less than 1 km2, located in the western sector of the Alps, at medium-low altitudes and facing south. Moreover, the lack of feeding from the surrounding slopes and from glacial masses located at higher altitudes, the lack of snow cover or thick debris during the summer season and a dark geological bedrock increase the phenomenon.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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