Preprints
https://doi.org/10.5194/nhess-2023-33
https://doi.org/10.5194/nhess-2023-33
28 Feb 2023
 | 28 Feb 2023
Status: this preprint is currently under review for the journal NHESS.

Comprehensive landslide susceptibility map of central Asia

Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, and Veronica Tofani

Abstract. Central Asia is an area characterized by complex tectonics and active deformation; the related seismic activity controls the earthquake hazard level that, due to the occurrence of secondary and tertiary effects, has also direct implications on the hazard related to mass movements as landslides, which are responsible for an extensive number of casualties every year. Climatically, this region is characterized by strong rainfall gradient contrasts, due to the diversity of climate and vegetation zones. The region is drained by large, partly snow- and glacier-fed rivers, that cross or terminate in arid forelands; therefore, it is affected also by a significant river flood hazard, mainly in spring and summer seasons. The challenge posed by the combination of different hazards can only be tackled considering a multi-hazard approach harmonized among the different countries, in agreement with 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, and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. To this aim the most detailed landslide inventories, covering both national and transboundary territories were implemented in a Random Forest model, together with several independent variables. The proposed approach represents an innovation in terms of resolution (from 30 to 70 m) and extension of the analysed area with respect to previous regional landslide susceptibility and hazard zonation models applied in Central Asia. The final aim was to provide a useful tool for land use-planning and risk reduction strategies to landslide scientists, practitioners and administrators.

Ascanio Rosi et al.

Status: open (until 11 Apr 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-33', Polina Lemenkova, 15 Mar 2023 reply
    • CC1: 'Reply on RC1', Alexander Strom, 15 Mar 2023 reply
    • AC1: 'Reply on RC1', William Frodella, 16 Mar 2023 reply

Ascanio Rosi et al.

Ascanio Rosi et al.

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Short summary
This work was carried out within the SFRARR Project (“Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia”), and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a Random Forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners and administrators.
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