Articles | Volume 24, issue 1
https://doi.org/10.5194/nhess-24-13-2024
https://doi.org/10.5194/nhess-24-13-2024
Research article
 | 
09 Jan 2024
Research article |  | 09 Jan 2024

Regional-scale landslide risk assessment in Central Asia

Francesco Caleca, Chiara Scaini, William Frodella, and Veronica Tofani

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Cited articles

Abella, E. C. and Van Westen, C. J.: Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation, Landslides, 4, 311–325, 2007. 
Behling, R., Roessner, S., Kaufmann, H., and Kleinschmit, B.: Automated spatiotemporal landslide mapping over large areas using rapideye time series data, Remote Sens.-Basel, 6, 8026–8055, 2014. 
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Bezerra, L., Neto, O. de F., Santos Jr., O., and Mickovski, S.: Landslide risk mapping in an urban area of the City of Natal, Brazil, Sustainability, 12, 9601, https://doi.org/10.3390/su12229601, 2020. 
Biçer, Ç. T. and Ercanoglu, M.: A semi-quantitative landslide risk assessment of central Kahramanmaraş City in the Eastern Mediterranean region of Turkey, Arab. J. Geosci., 13, 1–26, 2020. 
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Short summary
Landslide risk analysis is a powerful tool because it allows us to identify where physical and economic losses could occur due to a landslide event. The purpose of our work was to provide the first regional-scale analysis of landslide risk for central Asia, and it represents an advanced step in the field of risk analysis for very large areas. Our findings show, per square kilometer, a total risk of about USD 3.9 billion and a mean risk of USD 0.6 million.
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