Preprints
https://doi.org/10.5194/nhess-2023-140
https://doi.org/10.5194/nhess-2023-140
03 Aug 2023
 | 03 Aug 2023
Status: a revised version of this preprint was accepted for the journal NHESS and is expected to appear here in due course.

Assessing Landslide Damming susceptibility in Central Asia

Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani

Abstract. 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 (“Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia”) 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.

Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-140', Anonymous Referee #1, 19 Aug 2023
    • AC1: 'Reply on RC1', Carlo Tacconi Stefanelli, 27 Aug 2023
  • RC2: 'Comments on nhess-2023-140', Anonymous Referee #2, 06 Sep 2023
    • AC2: 'Reply on RC2', Carlo Tacconi Stefanelli, 25 Oct 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-140', Anonymous Referee #1, 19 Aug 2023
    • AC1: 'Reply on RC1', Carlo Tacconi Stefanelli, 27 Aug 2023
  • RC2: 'Comments on nhess-2023-140', Anonymous Referee #2, 06 Sep 2023
    • AC2: 'Reply on RC2', Carlo Tacconi Stefanelli, 25 Oct 2023
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani
Carlo Tacconi Stefanelli, William Frodella, Francesco Caleca, Zhanar Raimbekova, Ruslan Umuralievd, and Veronica Tofani

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Short summary
Central Asia regions are characterized by active tectonics, high mountains with glaciers and strong rainfall. These predisposing factors make large landslides a serious threat in the area and a source of potential damming scenarios which endanger the population. To prevent this, a semi-automated GIS-based mapping method, centred on a bivariate correlation of morphometric parameters, was applied to spatially assess the rivers obstruction in Central Asia.
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