Assessing landslide damming susceptibility in Central Asia
-
Published:2024-05-14
Issue:5
Volume:24
Page:1697-1720
-
ISSN:1684-9981
-
Container-title:Natural Hazards and Earth System Sciences
-
language:en
-
Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Tacconi Stefanelli Carlo, Frodella WilliamORCID, Caleca FrancescoORCID, Raimbekova ZhanarORCID, Umaraliev Ruslan, Tofani Veronica
Abstract
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 Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project as 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, centered 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 to the previously designed methodology, requiring a smaller amount of data, bringing new preliminary information on damming hazard management and risk reduction, and identifying the most critical area within the Central Asia regions.
Publisher
Copernicus GmbH
Reference71 articles.
1. Abdrakhmatov, K., Havenith, H. B., Delvaux, D., Jongmans, D., and Trefois, P.: Probabilistic PGA and Arias Intensity Maps of Kyrgyz Republic (Central Asia), J. Seismol., 7, 203–220, 2003. 2. Abdrakhmatov, K. Y., Aldazhanov, S. A., Hager, B. H., Hamburger, M. W., Herring, T. A., Kalabaev, K. B., Makarov, P., Molnar, S. V., Panasyuk, M. T., Prilepin, R. E., Reilinger, I. S., Sadybakasov, B. J., Souter, Yu. A., Trapeznikov, V. Ye., and Tsurkov Zubovich, A. V.: Relatively recent construction of the Tien Shan inferred from GPS measurements of present-day crustal deformation rates, Nature, 384, 450–45319, 1996. 3. Behling, R. and Roessner, S.: Multi-temporal landslide inventory for a study area in Southern Kyrgyz Republic derived from RapidEye satellite time series data (2009–2013), V. 1.0, GFZ Data Services [data set], https://doi.org/10.5880/GFZ.1.4.2020.001, 2020. 4. Behling, R., Roessner, S., Kaufmann, H., and Kleinschmit, B.: Automated spatiotemporal landslide mapping over large areas using rapideye time series data, Remote Sens., 6, 8026–8055, 2014. 5. Behling, R., Roessner, S., Golovko, D., and Kleinschmit, B.: Derivation of long-term spatiotemporal landslide activity – A multi-sensor time series approach, Remote Sens. Environ., 186, 88–104, 2016.
|
|