The european landslide susceptibility map elsus 1000 version 1

Debris flows represent dangerous occurrences in many parts of the world. Several disasters are documented due to this type of fast-moving landslides; therefore, natural-hazard assessment of debris flows is crucial for safety of life and property.

To this aim, much current work is being directed toward developing geotechnical-hydraulic models for the evaluation of debris flow susceptibility. A common base for such current models is parameterization of background predisposing and triggering factors such as inherent characteristics of geo-materials, topography, landscape and vegetation cover, rainfall regime, human activities, etc.

The same factors are also taken into account in soil erosion prediction models. Consequently, it seems worth investigating the effectiveness of the soil erosion index as debris flows susceptibility indicator.

Development of Landslide Susceptibility Map of Croatia

To this aim, a logistic regression analysis was carried out between the erosion index assessed by means of the Revised Universal Soil Loss Equation RUSLE model and the inventory of debris flows that have occurred in an area in Sicily Southern Italy.

Model assumptions were verified and validated by means of a series of statistical tools. Different possible scenarios were also evaluated by considering hypothetical changes in soil erosion rate under different rain erosivity conditions.

Notwithstanding the rough approximations in model data collection, the outcomes appear encouraging. This is a preview of subscription content, log in to check access. Rent this article via DeepDyve. Geol Tec Ambient — Google Scholar. J Hydrol — Island Arc — Aleotti P A warning system for rainfall-induced shallow failures. Eng Geol 73 3—4 — Agric Ecosyst Environ — J Map 8 2 — Nat Hazards Earth Syst Sci — Baeza C, Corominas J Assessment of shallow landslide susceptibility by means of multivariate statistical techniques.

Earth Surf Process Landf — Boll AIC — Nuova Bios, Italy, pp 71— Basile G, Panebianco M Experimental alert model for hydrogeological risk: a case study in Sicily.

Beven K Changing ideas in hydrology. The case of physically-based models. Geomorphology — Boellstorff D, Benito G Impacts of set-aside policy on the risk of soil erosion in central Spain. Brenning A Spatial prediction models for landslide hazards: review, comparison and evaluation. Caine N The rainfall intensity-duration control of shallow landslides and debris-flows. Geogr Ann 62A 1—2 — Landslides 11 1 — IVth Inter. Cannon S H Regional rainfall-threshold conditions for abundant debris-flow activity.

An inventory-based approach to landslide susceptibility assessment and its application to the Virginio River Basin, Italy.You are here: Home Publications By theme Landslide susceptibility and landslide hazard.

the european landslide susceptibility map elsus 1000 version 1

Implementing landslide path dependency in landslide susceptibility modelling Samia J. A review of statistically-based landslide susceptibility models Reichenbach, P. A review of statistically-based landslide susceptibility models. Earth-Science Reviews. Hazard and population vulnerability analysis: a step towards landslide risk assessment Franny G.

Model Dev. Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model Haydar Y. Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model.

Available online 9 November Lollino et al. GIS-based deterministic analysis of deep-seated slope stability in a complex geological setting Mergili M. Land use change scenarios and landslide susceptibility zonation: the Briga catchment test area Messina, Italy Reichenbach P.

Environmental Management, doi Natural Hazards and Earth System Sciences, 14, —, www. Geoscientific Model Development Discussion, 7,www. Geomorphology69— Scaling properties of rainfall induced landslides predicted by a physically based model Alvioli M. Geomorphology, doi Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach Raia S.

Geoscientific Model Development, 7, doi: Geomorphology, doi: In: K.

Landslide susceptibility and landslide hazard

Sassa et al. Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach Raia, S. Geoscientific Model Development Discussion, 6,doi Scienze e Lettere Editore Commerciale, Landslides, Introduction to special issue "Landslides: forecasting, hazard evaluation and risk mitigation" Parise M. Natural Hazards, Vol. Harmonised approaches for landslide susceptibility mapping in Europe.

In: Malet, J. Optimal landslide susceptibility zonation based on multiple forecasts Rossi M. Geomorphology, Vol. Preface - Methods and strategies to evaluate landslide hazard and risk Reichenbach P.

Natural Hazards and Earth System Sciences, 10, —, www. Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium Van Den Eeckhaut, M.

Landslide hazard assessment, vulnerability estimation and risk evaluation: an example from the Collazzone area central Umbria, Italy Guzzetti F. Geografia Fisica e Dinamica Quaternaria, Vol.Some areas are more prone to landslides due to numerous varieties of factors and these landslide susceptible areas are needed to be identified and classified. The Classified European Landslide Susceptibility map v1. Here, the Croatian segment of this map is evaluated, reviewed, updated and optimized—improved with regional data sets.

The basic input parameters in this, pure heuristic approach is the same as in ELSUS but the used criteria are adapted to this region and known landslide data. Input parameters included: slope gradient map, soil parent material map and land cover map.

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Conference paper First Online: 04 January This is a preview of subscription content, log in to check access. Technical note, European soil portal, 3p Google Scholar. Guzzetti F Landslide hazard and risk assessment. In: Croatian. Varnes DJ Landslide hazard zonation: a review of principle and practice. International Association of Engineering Geology, vol 3. Croatian Geological Survey Zagreb Croatia. Personalised recommendations. Cite paper How to cite? ENW EndNote.

Buy options.The susceptibility evaluation methodology employed for the updated map ELSUS Version 2 presented in this paper is identical to the previous approach, and comprises the differentiation of the analyzed European area into seven climate-physiographical model zones, the use of a reduced set of spatial susceptibility predictors shallow subsurface lithology, slope angle, and land coverand model zone-specific heuristic spatial multicriteria evaluations SMCE for susceptibility mapping.

IHME lithology describes both consolidated and unconsolidated shallow geological materials over Europe and can be shown to have a higher significance for landslide susceptibility evaluation than the soil parent material derived from ESDB. Other improvements consist in the change of the mapping unit from 1 km to m grid size and the incorporation of terrains not covered by ELSUS version 1 e. However, the assessment still suffers from missing landslide information in many European terrains.

It can be suspected that more distributed landslides information in specific model zones will further enhance the accuracy of ELSUS in the future.

Location of Repository. OAI identifier: oai:publications. Suggested articles.As in the previous map, the methodology employed for the updated map ELSUS Version 2 comprises the division of the analyzed European area into seven climate-physiographic model zones, the use of a reduced set of spatial susceptibility predictors slope angle, shallow subsurface lithology, and land coverand specific heuristic spatial multicriteria evaluations SMCE of model zones for susceptibility mapping.

IHME lithology describes both consolidated and unconsolidated shallow geologic materials over Europe, showing a higher significance for landslide susceptibility assessment than the soil parent material above. Additionally, in version 2 the mapping unit cell size increases from 1 km to m and new areas such as Iceland, Cyprus, the Faroes, and the Shetlands are covered on the map. A further improvement is the geographic adjustment of the slope angle, lithology and land cover spatial susceptibility criteria to uniform coastline information derived from VMAP data now allowing for an area-wide susceptibility mapping of European coastal areas.

It can be assumed that more distributed landslide information in specific model zones will further improve the accuracy of ELSUS in the future. Location of Repository. OAI identifier: oai:publications.

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the european landslide susceptibility map elsus 1000 version 1

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the european landslide susceptibility map elsus 1000 version 1

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The RUSLE erosion index as a proxy indicator for debris flow susceptibility

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