Influence of deep-seated gravitational slope deformations on landslide distributions: A statistical approach

被引:15
|
作者
Capitani, M. [1 ]
Ribolini, A. [1 ]
Federici, P. R. [1 ]
机构
[1] Univ Pisa, Dept Earth Sci, I-56126 Pisa, Italy
关键词
Deep-seated gravitational slope deformation; Landslide susceptibility; MSUE-conditional analysis method; Predictive power; Central Italy; CONDITIONAL ANALYSIS METHOD; SUSCEPTIBILITY ASSESSMENT; NORTHERN APENNINES; ROCK SLOPES; FAILURE; VALLEY; MODELS; REGION; HAZARD; TECTONICS;
D O I
10.1016/j.geomorph.2013.06.014
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The influence of deep-seated gravitational slope deformations (DSGSDs) on the distribution of translational landslides was analyzed in the Milia basin, Tuscany, Italy. Detailed geomorphological mapping, combined with the analysis of aerial photography, enabled us to build two landslide inventories. One inventory including landslides before 1975 was used to create statistical models, whereas the other inventory including landslides after 1975 was used to validate the models. Geology, slope angle, slope aspect, distance to hydrographic elements, and distance to tectonic lineaments were considered as landslide-predisposing factors. To quantify the importance of DSGSDs as another landslide-predisposing factor, the DSGSD presence/absence map was introduced in the stepwise statistical analysis. The landslide inventory maps and factor maps were processed using a conditional analysis on all possible factor combinations to produce landslide susceptibility maps with five susceptibility classes. The results indicate that the DSGSDs significantly affect landslide distribution. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:127 / 134
页数:8
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