Tier-based approaches for landslide susceptibility assessment in Europe

Günther, Andreas; Reichenbach, Paola; Malet, Jean-Philippe; Eeckhaut, Miet Van Den; Hervás, Javier; Dashwood, Claire; Guzzetti, Fausto

doi:10.1007/s10346-012-0349-1

Cited by 93 publications

(57 citation statements)

References 31 publications

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“…Yet it must be noted that while this analysis refers to potentially hazardous rainfall events that may trigger landslides, other environmental information has not been taken into account so far. Therefore, the consideration of reduced static information commonly used for landslide susceptibility evaluations (Günther et al, 2014(Günther et al, , 2013Hervás et al, 2007) is illustrated and discussed in the example of a particularly risk-prone area. The selected region is centred around the lowlands of Alsace and the Black Forest mountain range, covering parts of France, Germany, Switzerland, Luxembourg and Austria (Fig.…”

Section: Target Areamentioning

confidence: 99%

Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century

Schlögl

Matulla

2018

Nat. Hazards Earth Syst. Sci.

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Abstract. In the face of climate change, the assessment of land transport infrastructure exposure towards adverse climate events is of major importance for Europe's economic prosperity and social wellbeing. In this study, a climate index estimating rainfall patterns which trigger landslides in central Europe is analysed until the end of this century and compared to present-day conditions. The analysis of the potential future development of landslide risk is based on an ensemble of dynamically downscaled climate projections which are driven by the SRES A1B socio-economic scenario. Resulting regional-scale climate change projections across central Europe are concatenated with Europe's road and railway network. Results indicate overall increases of landslide occurrence. While flat terrain at low altitudes exhibits an increase of about 1 more potentially landslide-inducing rainfall period per year until the end of this century, higher elevated regions are more affected and show increases of up to 14 additional periods. This general spatial distribution emerges in the near future (2021-2050) but becomes more pronounced in the remote future (2071-2100). Since largest increases are to be found in Alsace, potential impacts of an increasing amount of landslides are discussed using the example of a case study covering the Black Forest mountain range in Baden-Württemberg by further enriching the climate information with additional geodata. The findings derived are suitable to support political decision makers and European authorities in transport, freight and logistics by offering detailed information on which parts of Europe's ground transport network are at particularly high risk concerning landslide activity.

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Section: Target Areamentioning

confidence: 99%

Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century

Schlögl

Matulla

2018

Nat. Hazards Earth Syst. Sci.

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“…Evaluating landslide susceptibility at small scales (<1:200,000) over large areas (entire nations or continents) generally suffers from high generalization, low resolution of spatial input data and incomplete landslide inventory information, making data-driven statistical modelling very difficult. Therefore, landslide susceptibility mapping at global (Hong, Adler, & Huffman, 2007;Nadim, Kjekstad, Peduzzi, Herold, & Jaedicke, 2006), continental European (Günther et al, 2013;Jaedicke et al, 2014) and national scales (e.g. Sakkas, Misailidis, Sakellariou, Kouskouna, & Kaviris, 2016) are often performed without landslide information.…”

Section: Introductionmentioning

confidence: 99%

Pan-European landslide susceptibility mapping: ELSUS Version 2

et al. 2018

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We present an updated version of the European landslide susceptibility map ELSUS 1000 released through the European Soil Data Centre in 2013. The ELSUS V2 map shows the landslide susceptibility zonation for individual climate-physiographic zones across Europe. ELSUS V2 covers a larger area of Europe than ELSUS 1000 at a higher spatial resolution (200 × 200 m). The updated map was prepared using the same semi-quantitative method as for ELSUS 1000, combining landslide frequency ratios information with a spatial multi-criteria evaluation model of three thematic predictors: slope angle, shallow subsurface lithology and land cover. However, the new map was prepared using also: (i) an extended landslide inventory, containing 30% of additional locations for model calibration, map validation and classification and (ii) a new lithological data set derived from the International Hydrogeological Map of Europe (IHME). The new version of the map increases the overall predictive performance of ELSUS by 8 %.ARTICLE HISTORY

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“…They are also useful to investigate the distribution, types and patterns of landslides in relation to geomorphology, lithology, land cover, tectonic settings and hydrogeological conditions (Guzzetti et al, 1996;Corominas et al, 2014;Günther et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

Schlögel

Malet

Reichenbach

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. In the paper we analyse a multi-date landslide inventory prepared for a mountainous area affected by several landslide types with different degrees of activity, we attempt to quantify the uncertainties associated to the mapping, we measure the evolution of morphological indicators and estimate landslide activity and temporal occurrence. The inventory, covering the period 1956-2010, is prepared for the middle section of the Ubaye valley (southern French Alps) based on the analysis of multi-source documents (geomorphological maps, historical reports of landslide events, field surveys, orthophotographs and SAR (synthetic aperture radar) satellite images). The uncertainties derived from the expert interpretation of different sources of information, the landslide morphological features and the affected land covers are taken into account in relation to the source documents.Morphological indicators are calculated to describe quantitatively the evolution of the landslides (length, area, relative elevation, runout distance). Frequency-area density functions are computed to estimate the changes in the landslide distributions and a Poisson model is used to estimate the probability of reactivation of the observed landslides and the occurrence of new failures. The proposed multi-date inventory and the associated statistics provide additional information to the event catalogue managed by the local policy makers.

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Tier-based approaches for landslide susceptibility assessment in Europe

Cited by 93 publications

References 31 publications

Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century

Potential future exposure of European land transport infrastructure to rainfall-induced landslides throughout the 21st century

Pan-European landslide susceptibility mapping: ELSUS Version 2

Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study

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