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dc.contributor.authorNadim, Farrokh
dc.contributor.authorKjekstad, Oddvar
dc.contributor.authorPeduzzi, Pascal
dc.contributor.authorHerold, Christian
dc.contributor.editorHerold, Christian
dc.contributor.editorJaedicke, Christian
dc.date.accessioned2023-10-20T21:08:03Z
dc.date.available2023-10-20T21:08:03Z
dc.date.issued2006-02-08
dc.identifier.issn1612-510X
dc.identifier.urihttps://hdl.handle.net/11250/3097892
dc.description.abstractAllocating resources for natural hazard risk management has high priority in development banks and international agencies working in developing countries. Global hazard and risk maps for landslides and avalanches were developed to identify the most exposed countries. Based on the global datasets of climate, lithology, earthquake activity, and topography, areas with the highest hazard, or “hotspots”, were identified. The applied model was based on classed values of all input data. The model output is a landslide and avalanche hazard index, which is globally scaled into nine levels. The model results were calibrated and validated in selected areas where good data on slide events exist. The results from the landslide and avalanche hazard model together with global population data were then used as input for the risk assessment. Regions with the highest risk can be found in Colombia, Tajikistan, India, and Nepal where the estimated number of people killed per year per 100 km2 was found to be greater than one. The model made a reasonable prediction of the landslide hazard in 240 of 249 countries. More and better input data could improve the model further. Future work will focus on selected areas to study the applicability of the model on national and regional scales.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectAvalanche-RnDen_US
dc.subjectSnøskred-FoUen_US
dc.titleGlobal landslide and avalanche hotspotsen_US
dc.typeJournal articleen_US
dc.source.pagenumber159-173en_US
dc.source.volume3en_US
dc.source.journalLandslides. Journal of the International Consortium on Landslidesen_US
dc.source.issue2en_US
dc.identifier.doi10.1007/s10346-006-0036-1


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