APPLICATION OF SINMAP A ND ANALYSIS OF MODEL SENSITIVITY – CASE STUDIES FROM GERMANY AND CHINA

Author(s)
Benjamin Thiebes, Rainer Bell, Thomas Glade, Shibiao Bai, Jian Wang
Abstract

Landslides cause significant damage in many parts of the world and consequently many efforts have been made to forecast the spatial probability of future slope failures. In particular regional landslide susceptibility and hazard models have become popular over the last years because they delineate areas which are likely to experience slope failures in the future, which is important, e.g. for spatial planning purposes. In this study, the physically - based model SINMAP (Stability Index Mapping) was applied to two study areas with different geo-environmental conditions; one in the Swabian Alb, Germany, and one in Youfang catchment, Wudu county, Western China. A sensitivity analysis of the geotechnical input parameters was carried out to determine their in fluence on model outputs. The results show that the majority of observed landslides are located within areas that have been classified as likely to experience slope failure. The spatial resolution of input data has an effect on SINMAP results, however, the
difference between 10 m and 30 m data was found to be relatively small. Sensitivity analysis revealed that internal friction has a large influence on susceptibility modelling, while the hydrological parameter T/R only changed the results to a very small extent under the parameter range tested in this study. Based on the results it can be concluded that SINMAP is capable of appropriately computing regional landslide susceptibility for large areas and can provide useful information, especially when high deta
il topography data is available. The results of sensitivity analysis can be expected to be helpful for other researchers for a more successful application of SINMAP to other study areas.

Organisation(s)
Department of Geography and Regional Research
External organisation(s)
Nanjing Normal University
Journal
Romanian Journal of Geography
Volume
60
Pages
3
No. of pages
25
Publication date
2016
Peer reviewed
Yes
Austrian Fields of Science 2012
105404 Geomorphology
Keywords
ASJC Scopus subject areas
Environmental Science(all)
Portal url
https://ucrisportal.univie.ac.at/en/publications/application-of-sinmap-a-nd-analysis-of-model-sensitivity--case-studies-from-germany-and-china(04d90a87-e271-451f-9b6f-1de4d1210b2a).html