GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia

Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based...
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Autor*in:	Uroš Durlević [verfasserIn] Aleksandar Valjarević [verfasserIn] Ivan Novković [verfasserIn] Nina B. Ćurčić [verfasserIn] Mirjana Smiljić [verfasserIn] Cezar Morar [verfasserIn] Alina Stoica [verfasserIn] Danijel Barišić [verfasserIn] Tin Lukić [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	snow avalanches GIS remote sensing AHP Šar Mountains environment

Übergeordnetes Werk:	In: Atmosphere - MDPI AG, 2011, 13(2022), 8, p 1229
Übergeordnetes Werk:	volume:13 ; year:2022 ; number:8, p 1229

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/atmos13081229

Katalog-ID:	DOAJ036353655

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520			\|a Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions.
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spelling	10.3390/atmos13081229 doi (DE-627)DOAJ036353655 (DE-599)DOAJc33b7fb29b9641f69b40e7e101e771a5 DE-627 ger DE-627 rakwb eng QC851-999 Uroš Durlević verfasserin aut GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions. snow avalanches GIS remote sensing AHP Šar Mountains environment Meteorology. Climatology Aleksandar Valjarević verfasserin aut Ivan Novković verfasserin aut Nina B. Ćurčić verfasserin aut Mirjana Smiljić verfasserin aut Cezar Morar verfasserin aut Alina Stoica verfasserin aut Danijel Barišić verfasserin aut Tin Lukić verfasserin aut In Atmosphere MDPI AG, 2011 13(2022), 8, p 1229 (DE-627)657584010 (DE-600)2605928-9 20734433 nnns volume:13 year:2022 number:8, p 1229 https://doi.org/10.3390/atmos13081229 kostenfrei https://doaj.org/article/c33b7fb29b9641f69b40e7e101e771a5 kostenfrei https://www.mdpi.com/2073-4433/13/8/1229 kostenfrei https://doaj.org/toc/2073-4433 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 8, p 1229
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source	In Atmosphere 13(2022), 8, p 1229 volume:13 year:2022 number:8, p 1229
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authorswithroles_txt_mv	Uroš Durlević @@aut@@ Aleksandar Valjarević @@aut@@ Ivan Novković @@aut@@ Nina B. Ćurčić @@aut@@ Mirjana Smiljić @@aut@@ Cezar Morar @@aut@@ Alina Stoica @@aut@@ Danijel Barišić @@aut@@ Tin Lukić @@aut@@
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callnumber-first	Q - Science
author	Uroš Durlević
spellingShingle	Uroš Durlević misc QC851-999 misc snow avalanches misc GIS misc remote sensing misc AHP misc Šar Mountains misc environment misc Meteorology. Climatology GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
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topic_title	QC851-999 GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia snow avalanches GIS remote sensing AHP Šar Mountains environment
topic	misc QC851-999 misc snow avalanches misc GIS misc remote sensing misc AHP misc Šar Mountains misc environment misc Meteorology. Climatology
topic_unstemmed	misc QC851-999 misc snow avalanches misc GIS misc remote sensing misc AHP misc Šar Mountains misc environment misc Meteorology. Climatology
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title	GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
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title_full	GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
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author_browse	Uroš Durlević Aleksandar Valjarević Ivan Novković Nina B. Ćurčić Mirjana Smiljić Cezar Morar Alina Stoica Danijel Barišić Tin Lukić
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title_sort	gis-based spatial modeling of snow avalanches using analytic hierarchy process. a case study of the šar mountains, serbia
callnumber	QC851-999
title_auth	GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
abstract	Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions.
abstractGer	Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions.
abstract_unstemmed	Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions.
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container_issue	8, p 1229
title_short	GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
url	https://doi.org/10.3390/atmos13081229 https://doaj.org/article/c33b7fb29b9641f69b40e7e101e771a5 https://www.mdpi.com/2073-4433/13/8/1229 https://doaj.org/toc/2073-4433
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author2	Aleksandar Valjarević Ivan Novković Nina B. Ćurčić Mirjana Smiljić Cezar Morar Alina Stoica Danijel Barišić Tin Lukić
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up_date	2024-07-03T20:06:55.877Z
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