Reference : Tien Shan Geohazards Database: Landslide susceptibility analysis
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/181473
Tien Shan Geohazards Database: Landslide susceptibility analysis
English
Havenith, Hans-Balder mailto [Université de Liège > Département de géologie > Géologie de l'environnement >]
Torgoev, Almazbek [Université de Liège > Département de géologie > Géologie de l'environnement >]
Schlögel, Romy [> >]
Braun, Anika [> >]
Torgoev, Isakbek [> >]
Ischuk, Anatoly [> >]
2015
Geomorphology
Elsevier Science
249
32-43
Yes (verified by ORBi)
International
0169-555X
Amsterdam
The Netherlands
[en] Landslide ; susceptibility ; Faults
[en] This paper is the second part of a new geohazards analysis applied to a large part of the Tien Shan, Central Asia, focused on landslide susceptibility computations that are based on recently compiled geographic, geological and geomorphological data. The core data are a digital elevation model, an updated earthquake catalogue, an active fault map as well as a new landslide inventory. The most recently added digital data are a new simplified geological map, an annual precipitation map, as well as river and road network maps that were produced for the Kyrgyz and Tajik parts of the Tien Shan. On the basis of these records we determine landslide densities with respect to morphological (M), geological (G), river distance (R), precipitation (P), earthquake (E) and fault (F) distance factors. Correlations were also established between scarp locations and the slope angle, distance to rivers, curvature. These correlations show that scarps tend to be located on steeper slopes, farther from rivers and on more convex terrain than the entire landslides. On the basis of the landslide density values computed for each class of the
aforementioned factors, two landslide susceptibility maps are created according to the Landslide Factor analysis: ...
Researchers ; Students
http://hdl.handle.net/2268/181473

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