After 2000 Stože Landslide: Part II - Development of landslide disaster risk reduction policy in Slovenia

Mikoš, Matjaž

doi:10.15292/acta.hydro.2021.04

Cited by 9 publications

(4 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

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.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To improve landslide dynamic models, practices in different parts of the world show that a good understanding of landslide dynamics can be achieved by setting up flexible and reliable monitoring systems [9,[12][13][14][15][16][17]. These systems are used to implement periodic and continuous measurements to monitor changes over time and space.…”

Section: Introductionmentioning

confidence: 99%

Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data

et al. 2022

View full text Add to dashboard Cite

Detecting the mechanism of landslides and evaluating their dynamics is challenging, especially concerning composite landslides. For this purpose, several investigation and monitoring techniques should be implemented to obtain reliable information on landslide characteristics (e.g., geological and hydrogeological conditions and type of landslide processes), kinematics (displacement rate), and potential triggering mechanisms (e.g., change in groundwater table and precipitation). The Urbas landslide in northwest Slovenia has been studied for decades through geological, geotechnical, geodetic, and remote sensing investigations. However, due to the complexity of the landslide and the short duration of continuous monitoring, no assessment of its dynamics has been made. To meet this need, this study analysed continuous and periodic monitoring of landslide displacements using data from the global navigation satellite system (GNSS), a wire extensometer, unmanned aerial vehicle (UAV) photogrammetry, and hydrometeorological sensing (groundwater table, precipitation). The results of this study show that the dynamics of the Urbas landslide differ along the landslide area, depending on local geological and hydrogeological conditions. Consequently, certain parts of the landslide are at different evolutionary states and respond differently to the same external triggers.

show abstract

“…These events, and the fact that alpine and perialpine regions are highly susceptible to landslides, have revealed that, on the whole, Slovenia needs to pay more attention to landslide prevention measures, to reduce the impact of landslide activity and to protect people and infrastructure (Mikoš, 2021).…”

Section: Introductionmentioning

confidence: 99%

Review of the research and evolution of landslides in the hinterland of Koroška Bela settlement (NW Slovenia)

PETERNEL¹,

ŠEGINA²,

JEŽ³

et al. 2022

Geologija

Self Cite

View full text Add to dashboard Cite

This paper gives an overview of landslide research and the activity of landslides located above the Koroška Bela settlement in Northwest Slovenia. There are several landslides in this area and they pose a direct threat to the settlement below. The settlement is very densely populated (about 2,100 inhabitants) and has well-developed industry and infrastructure. It is built on deposits from past debris flows, indicating that large slope mass movements have occurred in the past. In this regard, the hinterland of Koroška Bela has been investigated since 2006, within the framework of various research, technical and European projects. The most extensive geological and geotechnical investigations were carried out after April 2017, when part of the Čikla landslide collapsed and mobilised into a debris flow. All of the investigations which have been carried out over the years revealed that the hinterland of Koroška Bela is characterised by high landslide activity due to geological, hydrogeological and tectonic conditions. In order to protect people and their property, it is essential to implement a holistic mitigation measure which includes remediation works (drainage works, debris flow breaker, etc.) and non-structural measures (monitoring system, early warning system, risk management, etc.). Regular and continuous monitoring of all landslides is also crucial to observe the landslide dynamics and evaluate the effectiveness of structural mitigation measures.

show abstract

After 2000 Stože Landslide: Part II - Development of landslide disaster risk reduction policy in Slovenia

Cited by 9 publications

References 58 publications

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

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

Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data

Review of the research and evolution of landslides in the hinterland of Koroška Bela settlement (NW Slovenia)

Contact Info

Product

Resources

About