Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia
Само за регистроване кориснике
2023
Аутори
Durlević, UrošNovković, Ivan
Bajić, Senka
Milinčić, Miroljub
Valjarević, Aleksandar
Čegar, Nina
Lukić, Tin
Остала ауторства
Rezaei, JafarBrunelli, Matteo
Mohammadi, Majid
Поглавље у монографији (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Snow avalanches are one of the most frequent natural hazards in high mountain regions. In this study, a map of the susceptibility of the Šar Mountains to snow avalanches was determined. The study area is located in the southern part of Serbia, which has the Status of a National park. Geographic information systems (GIS) and remote sensing are used to analysis and cartographical presentation of nine the most important elements of natural conditions which have an influence on avalanche development. Then, by applying the best-worst method (BWM) for each of the criteria was given a weighting coefficient depending on its importance for the avalanche occurrence. A synthetic map of snow avalanche susceptibility was created by processing geospatial data in the GIS software. The obtained results show that high susceptibility covers 16.9% of the territory, while 10.7% of the total area is very highly susceptible. The final results may be useful to decision-makers, local self-governments, emergen...cy management services, and mountaineering services to mitigate human and material losses from snow avalanches. This study is the first to use the BWM methodology for snow avalanche hazard analysis.
Кључне речи:
Natural conditions / Snow avalanche / Best-Worst method / GIS / EnvironmentИзвор:
Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023), 2023, 211-226Издавач:
- Springer Nature
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200091 (Универзитет у Београду, Географски факултет) (RS-MESTD-inst-2020-200091)
Колекције
Институција/група
Geografski fakultetTY - CHAP AU - Durlević, Uroš AU - Novković, Ivan AU - Bajić, Senka AU - Milinčić, Miroljub AU - Valjarević, Aleksandar AU - Čegar, Nina AU - Lukić, Tin PY - 2023 UR - http://gery.gef.bg.ac.rs/handle/123456789/1460 AB - Snow avalanches are one of the most frequent natural hazards in high mountain regions. In this study, a map of the susceptibility of the Šar Mountains to snow avalanches was determined. The study area is located in the southern part of Serbia, which has the Status of a National park. Geographic information systems (GIS) and remote sensing are used to analysis and cartographical presentation of nine the most important elements of natural conditions which have an influence on avalanche development. Then, by applying the best-worst method (BWM) for each of the criteria was given a weighting coefficient depending on its importance for the avalanche occurrence. A synthetic map of snow avalanche susceptibility was created by processing geospatial data in the GIS software. The obtained results show that high susceptibility covers 16.9% of the territory, while 10.7% of the total area is very highly susceptible. The final results may be useful to decision-makers, local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from snow avalanches. This study is the first to use the BWM methodology for snow avalanche hazard analysis. PB - Springer Nature T2 - Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) T1 - Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia SP - 211 EP - 226 DO - 10.1007/978-3-031-40328-6_12 ER -
@inbook{ author = "Durlević, Uroš and Novković, Ivan and Bajić, Senka and Milinčić, Miroljub and Valjarević, Aleksandar and Čegar, Nina and Lukić, Tin", year = "2023", abstract = "Snow avalanches are one of the most frequent natural hazards in high mountain regions. In this study, a map of the susceptibility of the Šar Mountains to snow avalanches was determined. The study area is located in the southern part of Serbia, which has the Status of a National park. Geographic information systems (GIS) and remote sensing are used to analysis and cartographical presentation of nine the most important elements of natural conditions which have an influence on avalanche development. Then, by applying the best-worst method (BWM) for each of the criteria was given a weighting coefficient depending on its importance for the avalanche occurrence. A synthetic map of snow avalanche susceptibility was created by processing geospatial data in the GIS software. The obtained results show that high susceptibility covers 16.9% of the territory, while 10.7% of the total area is very highly susceptible. The final results may be useful to decision-makers, local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from snow avalanches. This study is the first to use the BWM methodology for snow avalanche hazard analysis.", publisher = "Springer Nature", journal = "Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023)", booktitle = "Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia", pages = "211-226", doi = "10.1007/978-3-031-40328-6_12" }
Durlević, U., Novković, I., Bajić, S., Milinčić, M., Valjarević, A., Čegar, N.,& Lukić, T.. (2023). Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia. in Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) Springer Nature., 211-226. https://doi.org/10.1007/978-3-031-40328-6_12
Durlević U, Novković I, Bajić S, Milinčić M, Valjarević A, Čegar N, Lukić T. Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia. in Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023). 2023;:211-226. doi:10.1007/978-3-031-40328-6_12 .
Durlević, Uroš, Novković, Ivan, Bajić, Senka, Milinčić, Miroljub, Valjarević, Aleksandar, Čegar, Nina, Lukić, Tin, "Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia" in Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) (2023):211-226, https://doi.org/10.1007/978-3-031-40328-6_12 . .