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Identification of landslide hazard and risk 'hotspots' in Europe.

Authors :
Jaedicke, Christian
Eeckhaut, Miet
Nadim, Farrokh
Hervás, Javier
Kalsnes, Bjørn
Vangelsten, Bjørn
Smith, Jessica
Tofani, Veronica
Ciurean, Roxana
Winter, Mike
Sverdrup-Thygeson, Kjetil
Syre, Egil
Smebye, Helge
Source :
Bulletin of Engineering Geology & the Environment; May2014, Vol. 73 Issue 2, p325-339, 15p
Publication Year :
2014

Abstract

Landslides are a serious problem for humans and infrastructure in many parts of Europe. Experts know to a certain degree which parts of the continent are most exposed to landslide hazard. Nevertheless, neither the geographical location of previous landslide events nor knowledge of locations with high landslide hazard necessarily point out the areas with highest landslide risk. In addition, landslides often occur unexpectedly and the decisions on where investments should be made to manage and mitigate future events are based on the need to demonstrate action and political will. The goal of this study was to undertake a uniform and objective analysis of landslide hazard and risk for Europe. Two independent models, an expert-based or heuristic and a statistical model (logistic regression), were developed to assess the landslide hazard. Both models are based on applying an appropriate combination of the parameters representing susceptibility factors (slope, lithology, soil moisture, vegetation cover and other- factors if available) and triggering factors (extreme precipitation and seismicity). The weights of different susceptibility and triggering factors are calibrated to the information available in landslide inventories and physical processes. The analysis is based on uniform gridded data for Europe with a pixel resolution of roughly 30 m × 30 m. A validation of the two hazard models by organizations in Scotland, Italy, and Romania showed good agreement for shallow landslides and rockfalls, but the hazard models fail to cover areas with slow moving landslides. In general, the results from the two models agree well pointing out the same countries with the highest total and relative area exposed to landslides. Landslide risk was quantified by counting the number of exposed people and exposed kilometers of roads and railways in each country. This process was repeated for both models. The results show the highest relative exposure to landslides in small alpine countries such as Lichtenstein. In terms of total values on a national level, Italy scores highest in both the extent of exposed area and the number for exposed population. Again, results agree between the two models, but differences between the models are higher for the risk than for the hazard results. The analysis gives a good overview of the landslide hazard and risk hotspots in Europe and allows a simple ranking of areas where mitigation measures might be most effective. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14359529
Volume :
73
Issue :
2
Database :
Complementary Index
Journal :
Bulletin of Engineering Geology & the Environment
Publication Type :
Academic Journal
Accession number :
95753698
Full Text :
https://doi.org/10.1007/s10064-013-0541-0