Landslide susceptibility map of Slovenia at scale 1 : 250,000

Abstract

Based on the extensive landslide database that was compiled and standardised at the national level, and analyses of landslide spatial occurrence, a Landslide susceptibility map of Slovenia at scale 1 : 250,000 was completed. Altogether more than 6,600 landslides were included in the national database, of which roughly half are on known locations. Of 3,257 landslides with known location, random but representative 65 % were selected and used for the univariate statistical analyses (χ 2 ) to analyse the landslide occurrence in relation to the spatio-temporal precondition factors (lithology, slope inclination, slope curvature, slope aspect, distance to geological boundaries, distance to structural elements, distance to surface waters, flowlength, and landcover type) and in relation to the triggering factors (maximum 24-h rainfall, average annual rainfall intensity, and peak ground acceleration). The analyses were conducted using GIS in raster format with the 25 × 25 m pixel size. Five groups of lithological units were defined, ranging from small to high landslide susceptibility. Also critical slopes for the landslide occurrence, other terrain properties and landcover types that are more susceptible to landsliding were defined. Among triggering factors critical rainfall and peak ground acceleration quantities were defined. These results were later used as a basis for the development of the weighted linear susceptibility model where several models with various factor weights variations based on previous research were developed. The rest of the landslide population (35 %) was used for the model validation. The results showed that relevant precondition spatio-temporal factors for landslide occurrence are (with their weight in linear model): lithology (0.3), slope inclination (0.25), landcover type (0.25), slope curvature (0.1), distance to structural elements (0.05), and slope aspect (0.05). Izvle~ekNa podlagi analize prostorskega pojavljanja plazov, ki so bili vklju~eni v obse'no bazo, je bila v merilu 1 : 250.000 izdelana karta verjetnosti pojavljanja plazov za obmo~je Slovenije. V bazo so vklju~eni podatki o ve~ kot 6600 plazovih, od teh pa jih ima le slaba polovica znano lokacijo. Izmed 3257 plazov z znano lokacijo je bilo za potrebe univariatne statisti~-ne analize (χ 2 ) naklju~no, a prostorsko reprezentativno izbranih 65 % plazov. Za izbrane plazove je bil analiziran vpliv prostorsko-~asovnih povzro~iteljev (pripravljalni dejavniki) (litologija, naklon, ukrivljenost in usmerjenost pobo~ja, oddaljenost od geolo{kih mej, oddaljenost od strukturnih elementov, oddaljenost od povr{inskih vod, dol'ina toka povr{in-ske vode ter tip rabe tal) ter vpliv spro'ilnih dejavnikov (maksimalne 24-urne padavine s 100-letno povratno dobo, koli~ina povpre~nih letnih padavin in objektni talni pospe{ek s 475-letno povratno dobo). Analize so bile izdelane s pomo~jo GIS orodij na rastrskih podatkih s prostorsko lo~ljivostjo 25 × 25 metrov. Med litolo{kimi enotami se je oblikovalo pet skupin z razli~no verjetnostjo pojavljanja p...

Quantifying the contribution of grapevine roots to soil mechanical reinforcement in an area susceptible to shallow landslides

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İndeks Metodu İle Darköprü Deresi̇ Havzasi Nin (Bi̇ngöl) Heyelan Duyarlilik Anali̇zi̇

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Landslide prediction system for rainfall induced landslides in Slovenia (Masprem)

“…Landslide susceptibility map Based on the extensive landslide database that was compiled and standardized at the national level, and based on analyses of landslide spatial occurrence, a landslide susceptibility map of Slovenia at a scale of 1:250,000 was produced (KomaC & Ribičič 2006;KomaC 2012) (Fig. 3A).…”

“…In our particular case, almost one quarter of territory of Slovenia is subjected to landslides (Komac & Ribičič, 2006). According to technical reports and bulletins of the Administration for Civil Protection and Disaster Relief from 1991 to 2014, landslides claimed 15 people, disrupted communication and transportation on many roads and have caused considerable damage and economic loss (HAQUE et al, 2016).…”