Estimation of geohazard induced by mass movement processes. The Bovec municipality case study

Bavec, Miloš; Budkovič, Tomaž; Komac, Marko

doi:10.5474/geologija.2005.025

Cited by 7 publications

(2 citation statements)

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“…The analysis was based on the use of empirical methods, which often consider particular morphometric parameters of torrential watersheds, torrential fans, and hydrological characteristics, while geological parameters are directly considered only in a few models. The study of the phenomenon of old debris flows in Slovenia is limited primarily to the area of the Upper Soča Valley [25], where one of the methodologies for predicting the "hot spots" of such phenomena was developed [26]. For the area of the western part of the Karavanke mountain chain, the sediments of four torrential fans were investigated, and their catchment area was assessed geologically [27].…”

Section: Case Study Of Slovenian Torrential Fans: State Of the Art And Related Workmentioning

confidence: 99%

Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

Babič¹,

Petrovič

Sodnik

et al. 2021

Remote Sensing

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Alluvial (torrential) fans, especially those created from debris-flow activity, often endanger built environments and human life. It is well known that these kinds of territories where human activities are favored are characterized by increasing instability and related hydrological risk; therefore, treating the problem of its assessment and management is becoming strongly relevant. The aim of this study was to analyze and model the geomorphological aspects and the physical processes of alluvial fans in relation to the environmental characteristics of the territory for classification and prediction purposes. The main geomorphometric parameters capable of describing complex properties, such as relative fan position depending on the neighborhood, which can affect their formation or shape, or properties delineating specific parts of fans, were identified and evaluated through digital elevation model (DEM) data. Five machine learning (ML) methods, including a hybrid Euler graph ML method, were compared to analyze the geomorphometric parameters and physical characteristics of alluvial fans. The results obtained in 14 case studies of Slovenian torrential fans, validated with data of the empirical model proposed by Bertrand et al. (2013), confirm the validity of the developed method and the possibility to identify alluvial fans that can be considered as debris-flow prone.

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Section: Case Study Of Slovenian Torrential Fans: State Of the Art And Related Workmentioning

confidence: 99%

Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

Babič¹,

Petrovič

Sodnik

et al. 2021

Remote Sensing

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“…Such methodology is comprised of four consecutive phases that involve a synthesis of archived data, geostatistical modeling with the GSS algorithm (Komac 2005), elaboration of a geohazard map and field verification of the most susceptible areas. The mapping process was first tested in the municipality of Bovec, at a 1:25 000 scale (Bavec et al 2005). In addition to data on lithology, crushed tectonic zones, and distance from structural elements, the impact analysis and creation of the susceptibility model included elevation data, slope and curvature, distance to surface waters, energy potential of streams, and 48-hour rainfall intensity.…”

Section: Data Collectionmentioning

confidence: 99%

Assessment of the protective function of forests against debris flows in a gorge of the Slovenian Alps

Fidej¹,

Mikoš²,

Rugani³

et al. 2015

iForest

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© iForest -Biogeosciences and Forestry IntroductionTraditional land use (agriculture and forestry) is being abandoned in the Alps due to socioeconomic changes, while an increasingly larger area is being used for tourism and infrastructure, which requires protection from natural hazards. Forests provide permanent protective functions, but only if they are properly and sustainably managed (Ott et al. 1997, O'Hara 2006, Mizunaga et al. 2010. There has been a general decline in forest management in Europe (Forest Europe 2010) and in the Alps in particular, where it is difficult to achieve positive economic returns (Schütz 1996). Climate change has increased the frequency of extraordinary weather phenomena, which causes higher risk from natural hazards and weakening of forest stability (Seidl et al. 2011). In many Alpine countries, state subsidies are used to facilitate the management of forests with direct protective functions (Mayer & Ott 1991, Brang et al. 2006. In order to maximize protective effects with minimal costs, a thorough understanding of natural hazards, their impact areas, and the potential role of forests is necessary (Lopez Saez et al. 2011). A detailed delineation of forest areas with direct protective functions is necessary to determine the areas where state subsidies should be directed. In addition, forest profile models must be developed to inform silvicultural measures and to verify their success (Mayer & Ott 1991, Berger & Rey 2004, Frehner et al. 2005.In Switzerland a method for the delineation of forests with direct protection functions was developed as part of the Silvaprotect-CH project: a standardized delineation of protection forests at the state level. The procedure involves multiple, stepwise modules that generate the actual forest areas with direct protection functions (Giamboni & Wehrli 2008). In France, the zoning classification of mountain forests with direct protection functions and the mapping of hazards and prohibition of the construction of infrastructure in risk areas were identified as the most effective preventive approach to ensure the maintenance of protective functions (Berger & Rey 2004). In Austria, a distinction is made between two types of protection forests: site-protection forests and infrastructure-protection forests, the latter also including forests that protect against noise and light pollution (Schima & Singer 2008). Delineation methods of forests in which slope processes (e.g., erosion, landslides, debris flow, etc.) are present differs among the federal states (Ziegner 2002).The negative effects of disturbances are best mitigated by uneven aged forests, where the presence and distribution of trees provide protection against natural hazards, and the ability to replace damaged trees with existing regeneration provides elasticity (O'Hara 2006). For such forests it is necessary to determine a (modified) selection forest target profile. In Switzerland the NaiS -Nachhaltigkeit und Erfolgskontrolle im Schutzwald is used for the management of protection forests (Fr...

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Rockfall Susceptibility Assessment at the Municipal Scale (Bovec Municipality, Slovenia)

Čarman

Bavec

Komac

et al. 2015

Engineering Geology for Society and Territory - Volume 2

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Estimation of geohazard induced by mass movement processes. The Bovec municipality case study

Cited by 7 publications

References 0 publications

Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans

Assessment of the protective function of forests against debris flows in a gorge of the Slovenian Alps

Rockfall Susceptibility Assessment at the Municipal Scale (Bovec Municipality, Slovenia)

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