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Shallow landslides susceptibility mapping for Zagreb hilly area, Croatia


Wang, Chunxiang; Mihalic Arbanas, Snjezana; Marui, Hideaki; Watanabe, Naoki; Furuya, Gen
Shallow landslides susceptibility mapping for Zagreb hilly area, Croatia // Proceedings of the 3rd World Landslide Forum, Landslide Science for a Safer Geoenvironment: Vol.2: Methods of Landslide Studies / Sassa, Kyoji ; Canuti, Paolo ; Yin, Yueping (ur.).
Cham: Springer, 2014. str. 527-532 doi:10.1007/978-3-319-05050-8_81 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Shallow landslides susceptibility mapping for Zagreb hilly area, Croatia

Autori
Wang, Chunxiang ; Mihalic Arbanas, Snjezana ; Marui, Hideaki ; Watanabe, Naoki ; Furuya, Gen

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 3rd World Landslide Forum, Landslide Science for a Safer Geoenvironment: Vol.2: Methods of Landslide Studies / Sassa, Kyoji ; Canuti, Paolo ; Yin, Yueping - Cham : Springer, 2014, 527-532

ISBN
978-3-319-04998-4

Skup
3rd World Landslide Forum

Mjesto i datum
Peking, Kina, 02-06.06.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Landslide susceptibility ; hilly area of Medvednica Mt. ; SINMAP

Sažetak
This study was carried out to map the landslide susceptibility of the hilly area of Medvednica Mt. located in the northwestern part of the City of Zagreb, Croatia. Landslides in this region are mostly shallow movements of superficial deposits along contacts with fresh deposits of soil and cause significant economic losses by damaging houses and the urban infrastructure. The method used here is the deterministic slope stability analysis model SINMAP which is developed by Pack et al.(2005). SINMAP is a raster based slope stability predictive tool based on coupled hydrological- infinite slope stability model. This approach applies to shallow translational landsliding phenomena controlled by shallow ground water convergence. The input data required for this model are (i) inventory of past landslides in a point vector format, (ii) Digital Elevation Model (DEM) of the study area, (iii) geotechnical data such as soils strength properties, thickness of soil above the failure plane, and (iv) hydrological data such as soils hydraulic conductivity and the rainfall. Because the geotechnical data and hydrological data are highly variable in both space and time, the method does not require numerically precise input and accepts ranges of values that represent this uncertainly. The major output of this model is the stability index grid theme, which can be used as a landslide susceptibility map. In this study, three cases with different rainfall recharge of 50mm/day, 100mm/day and 150mm/day were analysed, and the results shows that the percentage of area classified as unstable were about 48%, 64%, 67% for the three different cases respectively. The results also provided slope area plot chars and statistical summary for each calibration region in the study area facilitating the data interpretation. The landslide susceptibility map which is developed in this study is also compared with the landslide inventory made by the Geotehnika-Geoexpert in 1979 and the result from the Analytic Hierarchy Process (AHP) method.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Ustanove
Rudarsko-geološko-naftni fakultet, Zagreb

Autor s matičnim brojem:
Snježana Mihalić Arbanas, (205022)

Časopis indeksira:


  • Scopus


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