Reference : Landslides in the Mailuu-Suu Valley, Kyrgyzstan - Hazards and impacts
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Multidisciplinary, general & others
Engineering, computing & technology : Geological, petroleum & mining engineering
Landslides in the Mailuu-Suu Valley, Kyrgyzstan - Hazards and impacts
Havenith, Hans-Balder mailto [Université de Liège - ULiège > Département de géologie > Géologie de l'environnement >]
Torgoev, I. [> > > >]
Meleshko, A. [> > > >]
Alioshin, Y. [> > > >]
Torgoev, A. [> > > >]
Danneels, Gaëlle mailto [Université de Liège - ULiège > Département ArGEnCo > Département ArGEnCo >]
Springer Heidelberg
[en] landslides ; hazard analysis ; socio-economic impacts ; GIS ; Kyrgyzstan
[en] Mailuu-Suu is a former uranium mining area in Kyrgyzstan (Central Asia) at the northern border of the Fergana Basin. This region is particularly prone to landslide hazards and, during the last 50 years, has experienced severe landslide disasters in the vicinity of numerous nuclear waste tailing dams. Due to its critical situation, the Mailuu-Suu region was and still is the target area for several risk assessment projects. This paper provides a brief review of previous studies, past landslide events and a discussion on possible future risk scenarios. Various aspects of landslide hazard and related impacts in the Mailuu-Suu Valley are analyzed in detail: landslide susceptibility, historical evolution of landslide activity, size-frequency relationship, river damming and flooding as well as impacts on inhabited areas and nuclear waste storage zones. The study was carried out with standard remote sensing tools for the processing of satellite imagery and the construction of digital elevation models (DEMs). The processed inputs were combined on a GIS platform with digital landslide distribution maps of 1962, 1977, and 2003, digitized geological and geographic maps, and information from landslide monitoring and geophysical investigation. As a result, various types of landslide susceptibility maps based on conditional analysis (CA) are presented as well as predictions of future landslide activity and related damming potential and their possible impact on the population. For some risk scenarios, remediation and prevention measures are suggested.

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