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Landslide susceptibility map of Croatia based on limited data and Fuzzy logic approach (CROSBI ID 716408)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | domaća recenzija

Bernat Gazibara, Sanja ; Damjanović, Vedran ; Krkač, Martin ; Sinčić, Marko ; Lukačić, Hrvoje ; Mihalić Arbanas, Snježana Landslide susceptibility map of Croatia based on limited data and Fuzzy logic approach // Book of Abstracts 5th ReSyLAB 'Landslide Modelling & Applications' / Peranić, Josip ; Vivoda Prodan, Martina ; Bernat Gazibara, Sanja et al. (ur.). Rijeka: Rudarsko-geološko-naftni fakultet Sveučilišta u Zagrebu ; Građevinski fakultet Sveučilišta u Rijeci, 2022. str. 27-28

Podaci o odgovornosti

Bernat Gazibara, Sanja ; Damjanović, Vedran ; Krkač, Martin ; Sinčić, Marko ; Lukačić, Hrvoje ; Mihalić Arbanas, Snježana

engleski

Landslide susceptibility map of Croatia based on limited data and Fuzzy logic approach

The objective of this study is a presentation of the landslide susceptibility assessment on a national scale for the Republic of Croatia using a heuristic approach. The effects of controlling factors on landslide susceptibility were estimated using the Fuzzy logic approach based on a multiclass overlay of landslide predictor maps. The predictor set relates to topographic variables, geomorphological factors, geology factors, and land cover. The selection of relevant landslide factors and the final landslide susceptibility assessment depends on subjective factors, such as researcher knowledge of the study area, respectively knowledge of different landslides types and processes in the study area, etc. For these reasons, it was necessary to verify the final landslide susceptibility map with data on known landslides. During the last few years, the scientists from the Faculty of Mining, Geology and Petroleum Engineering in Zagreb were systematically collected data on landslides, and the database of 2, 186 landslides with the exact location of the occurrence was conducted. The Area Under the Receiver Operating Characteristic Curve (AUROC) was used to validate derived landslide susceptibility maps and select the final one for further classification into three susceptibility zones. With over 90% of mapped landslides falling in high and very high susceptibility zones, the results are considered satisfactory for national scale landslide modeling. The landslide susceptibility map of Croatia was created to give a general overview of problem areas for an entire country, and it can be used to inform national policymakers and the general public. The analysis showed that approximately 20% of the area of Croatia is potentially prone to sliding. Particularly landslide-prone areas in Croatia are lowlands and hills in the Pannonian Basin, the hills of the Istrian Peninsula, and isolated narrow valleys in the Dinarides, such as Rječina River Valley and Vinodol Valley in Primorje.

landslide susceptibility, heuristic method, national scale, Croatia

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Podaci o prilogu

27-28.

2022.

objavljeno

Podaci o matičnoj publikaciji

Book of Abstracts 5th ReSyLAB 'Landslide Modelling & Applications'

Peranić, Josip ; Vivoda Prodan, Martina ; Bernat Gazibara, Sanja ; Krkač, Martin ; Mihalić Arbanas, Snježana ; Arbanas, Željko

Rijeka: Rudarsko-geološko-naftni fakultet Sveučilišta u Zagrebu ; Građevinski fakultet Sveučilišta u Rijeci

978-953-6953-57-8

Podaci o skupu

5th Regional Symposium on Landslides in the Adriatic-Balkan Region

poster

23.03.2022-26.03.2022

Rijeka, Hrvatska

Povezanost rada

Rudarstvo, nafta i geološko inženjerstvo