Pregled bibliografske jedinice broj: 636825
Shallow landslides susceptibility mapping using SINMAP in Zagreb hilly area, Croatia
Shallow landslides susceptibility mapping using SINMAP in Zagreb hilly area, Croatia // Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region / Mihalić Arbanas, Snježana ; Arbanas, Željko (ur.).
Zagreb: Hrvatska grupa za klizišta, 2014. str. 67-71 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Shallow landslides susceptibility mapping using SINMAP in Zagreb hilly area, Croatia
Autori
Wang, Chunxiang ; Mihalić Arbanas, Snježana ; Marui, Hideaki ; Watanabe, Naoki ; Furuya, Gen
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Landslide and Flood Hazard Assessment, Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region
/ Mihalić Arbanas, Snježana ; Arbanas, Željko - Zagreb : Hrvatska grupa za klizišta, 2014, 67-71
ISBN
978-953-6923-26-7
Skup
1st Regional Symposium on Landslides in the Adriatic-Balkan Region
Mjesto i datum
Zagreb, Hrvatska, 06.03.2013. - 09.03.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
shallow landslide; susceptibility mapping; landslide inventory; 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 landslide 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 amount. Because the geotechnical 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. The results also provided statistical summary of slope stability index for the study area facilitating the data interpretation. Three different rainfall recharge scenarios are considered: 50 mm/day, 100 mm/day and 150 mm/day. The landslide susceptibility map which is developed in this study is also compared with two landslide inventory maps.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo, Rudarstvo, nafta i geološko inženjerstvo
POVEZANOST RADA
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Profili:
Snježana Mihalić Arbanas
(autor)