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- W4386001043 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Central Asia regions are characterized by active tectonics, high mountain chains with extreme topography with glaciers and strong seasonal rainfall events. These key predisposing factors make large landslides a serious natural threat in the area, causing several casualties every year. The mountain crests are divided by wide lenticular or narrow, linear intermountain tectonic depressions, which are incised by many of the most important Central Asia rivers and are also subject to major seasonal river flood hazard. This multi-hazard combination is a source of potential damming scenarios which can bring cascading effects with devastating consequences for the surrounding settlements and population. Different hazards can only be managed with a multi-hazard approach coherent within the different countries, as suggested by the requirements of the Sendai Framework for Disaster Risk Reduction. This work was carried out within the framework of the SFRARR Project (“<em>Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia</em>”) as a part of a multi-hazard approach with the aim of providing a damming susceptibility analysis at a regional scale for Central Asia. To achieve this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters defined by a morphological index, originally designed to assess the damming susceptibility at basin/regional scale, was modified to be adopted nationwide and applied to spatially assess the obstruction of the river network in Central Asia for mapped and newly formed landslides. The proposed methodology represents an improvement of the previously designed, requiring a smaller amount of data, bringing new information on the damming hazard management and risk reduction for the Central Asia regions." @default.
- W4386001043 created "2023-08-20" @default.
- W4386001043 date "2023-08-19" @default.
- W4386001043 modified "2023-10-03" @default.
- W4386001043 title "Comment on nhess-2023-140" @default.
- W4386001043 doi "https://doi.org/10.5194/nhess-2023-140-rc1" @default.
- W4386001043 hasPublicationYear "2023" @default.
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