The variety of landslide forms in Slovenia and its immediate NW surroundings

Auflič, Mateja Jemec; Jež, Jernej; Popit, Tomislav; Košir, Adrijan; Maček, Matej; Logar, Janko; Petkovšek, Ana; Mikoš, Matjaž; Calligaris, Chiara; Boccali, Chiara; Zini, Luca; Reitner, Jürgen M.; Verbovšek, Timotej

doi:10.1007/s10346-017-0848-1

Cited by 26 publications

(6 citation statements)

References 31 publications

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“…We propose an upgrade to these methods, using Visualization for Archaeological Topography (VAT), which has been used successfully in this paper for landslide recognition and analysis. Several case studies of mass movements are presented to support this, based on mass movements in the Vipava Valley [4][5][6][7].…”

Section: Introductionmentioning

confidence: 92%

VAT Method for Visualization of Mass Movement Features: An Alternative to Hillshaded DEM

2019

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Hillshaded digital elevation models are a well-known information layer used to determine the geomorphological properties of landslides. However, their use is limited because the results are dependent on a particular sun azimuth and elevation. Approaches proposed to overcome this bias include positive openness, sky-view factor, red relief image maps, and prismatic openness. We propose an upgrade to all these methods, a method named Visualization for Archaeological Topography (VAT). The method is based on a fusion of four information layers into a single image (hillshaded terrain, slope, positive openness, and sky-view factor). VAT can be used to enhance visibility of features of varied scale, height, orientation, and form that sit on terrain ranging from extremely flat to very steep. Besides this, the merits of VAT are that the results are comparable across diverse geographical areas. We have successfully tested the method for landslide recognition and analysis in five different areas in the Vipava Valley (SW Slovenia). Geomorphology of the area is very diverse and holds various types of mass movements. In contrast to classical hillshaded digital elevation models (DEMs), the geomorphological features of landslides obtained by the VAT method are very clearly seen in all studied mass movements.

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Section: Introductionmentioning

confidence: 92%

VAT Method for Visualization of Mass Movement Features: An Alternative to Hillshaded DEM

2019

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“…This means that altitude is not a very good predictor of erosivity in the case of Slovenia. The main reason is probably the relatively complex topography and rainfall generation mechanisms that often lead to flash floods or rainfall- induced landslide triggering (Mikoš et al, 2006;Rusjan et al, 2009;Bezak et al, 2015a;Jemec Auflič et al, 2017;Mikoš, 2020bMikoš, , 2020aMikoš, , 2021.…”

Section: Slovenian Stations In the Redes Databasementioning

confidence: 99%

Spatial and Temporal Variability in Rainfall Erosivity Under Alpine Climate: A Slovenian Case Study Using Optical Disdrometer Data

Bezak

Petan

Mikoš

2021

Front. Environ. Sci.

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Rainfall erosivity is one of the most important parameters that influence soil erosion rates. It is characterized by a large spatial and temporal variability. For example, in Slovenia, which covers around 20,000 km2, the annual rainfall erosivity ranges from less than 1,000 MJ mm ha−1 h−1 to more than 10,000 MJ mm ha−1 h−1. Drop size distribution (DSD) data are needed to investigate rainfall erosivity characteristics. More than 2 years of DSD measurements using optical disdrometers located at six stations in Slovenia were used to investigate the spatial and temporal variability in rainfall erosivity in Slovenia. Experimental results have indicated that elevation is a poor predictor of rainfall erosivity and that erosivity is more strongly correlated to the mean annual precipitation. Approximately 90% of the total kinetic energy (KE) was accounted for in about 35% of 1 min disdrometer data. The highest 1 min intensities (I) and consequently also KE values were measured in summer followed by autumn and spring. The local KE-I equation yielded an acceptable fit to the measured data in case of all six stations. The relatively large percentage of 1 min rainfall intensities above 5 mm/h can at least partially explain some very high annual rainfall erosivity values (i.e., near or above 10,000 MJ mm ha−1 h−1). Convective and large-scale precipitation events also result in various rainfall erosivity characteristics. The station microlocation and wind impacts in case of some stations yielded relatively large differences between the data measured using the optical disdrometer and the pluviograph. Preliminary conclusions have been gathered, but further measurements are needed to get even better insight into spatial and temporal variability in rainfall erosivity under Alpine climate in Slovenia.

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“…The 2000 Stože Landslide event, its consequences and remediation Brilly et al (2001), Gostinčar (2001), Hojnik et al (2001), Horvat (2001), Komac (2001), Majes (2001a;, , , Mikoš (2001), Ribičič (2001), Ribičič and Vidrih (2001), Zlodej (2001), Brilly et al (2002), Fazarinc et al (2002), Majes and Beseničar (2002), Majes et al (2002b;, Zorn and Komac (2002), Mikoš et al (2004c), Mikoš and Fazarinc (2005), Fazarinc et al (2006), , Komac and Zorn (2008), Mikoš and Fazarinc (2011), Lenart (2016) Mitigation of large landslides in Slovenia Zorn and Komac (2004), Majes (2005), Mikoš et al (2006a), Zorn et al (2006), Majes (2008, 2010), Petkovšek et al (2011), Jemec Auflič et al (2017) Landslide-related terminology Mikoš (1995, Gams (2001), Mikoš (2001), Ribičič (2001), Skaberne (2001), Ribičič (2002), Skaberne (2002), Geološki terminološki slovar (2006), Geografski terminološki slovar 2013Hydrological investigations related to 2000 Stože Landslide Brilly et al (2001), Mikoš et al (2002a;, Mikoš et al (2003), …”

Section: Thematic Set Of Content Research Papers In the Chronologicalmentioning

confidence: 99%

“…It was the largest natural disaster of this kind in the 20th century in Slovenia. In Slovenia and its NW surroundings, landslides of various forms are quite frequent (Jemec Auflič at al., 2017). This paper deals with the question "What lessons have been learned from this natural event?"…”

Section: Introductionmentioning

confidence: 99%

After 2000 Stože Landslide: Part I – Development in landslide research in Slovenia

Mikoš

2020

Acta Hydrotechnica

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The 2000 Stože Landslide with the consecutive wet debris flow with a volume close to 1 million m3 that hit the village of Log pod Mangartom in November 2000 had many consequences. It triggered vast efforts not only for the mitigation of the devastated area but also sparked many studies in several scientific disciplines. Various studies were performed in order to better understand this type of natural hazard and its consequences for the natural and built environment, and for society as a whole. After two decades since the disastrous event in 2000, this paper provides an aggregate survey different studies on this event performed by researchers and engineers, summarising this event’s impact on in-depth landslide research in Slovenia. The advancement in this field in Slovenia since 2000 is obvious.

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The variety of landslide forms in Slovenia and its immediate NW surroundings

Cited by 26 publications

References 31 publications

VAT Method for Visualization of Mass Movement Features: An Alternative to Hillshaded DEM

VAT Method for Visualization of Mass Movement Features: An Alternative to Hillshaded DEM

Spatial and Temporal Variability in Rainfall Erosivity Under Alpine Climate: A Slovenian Case Study Using Optical Disdrometer Data

After 2000 Stože Landslide: Part I – Development in landslide research in Slovenia

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