naa a22 4500 510756808 CHVBK 20180411083125.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s12594-013-0190-8 doi (NATIONALLICENCE)springer-10.1007/s12594-013-0190-8 Pre-conditioning factors and susceptibility assessments of Wenchuan earthquake landslide at the Zhouqu segment of Bailongjiang basin, China [Elektronische Daten] [Shibiao Bai, Qiang Xu, Jian Wang, Pinggen Zhou] In this study, we present a landslide susceptibility assessment carried out after the devastating 2008 Wenchuan earthquake. For the Zhouqu segment in the Bailongjiang basin in north-western China landslide susceptibility was computed by a logistic regression method. This region has been experiencing landslides for a long time, and numerous additional slope failures were triggered by the 2008 Wenchuan earthquake. The data used for this study consists of slope failures attributed to the 2008 earthquake, the 878 post Wenchuan earthquake landslides and collapses inventory build up by combination the field investigation, monoscopic manual interpretation, image classification and texture analysis using SPOT 5 and ALOS remote-sensing image data. All data derived from remote sensing images are validated during field investigations. The landslide pre-disposing factor database was constructed. A digital elevation model (DEM) with a 30 × 30 m resolution, orthophotos, geological and land-use maps and information on peak ground acceleration data from the 2008 earthquake is used. The statistical analysis of the relation between Wencuan earthquake-triggered landslides and pre-disposing factors show the great influence of lithological and topographical conditions for earthquake-triggered slope failures. The quality of susceptibility mapping was validated by splitting the study area into a training and validation set. The prediction capability analysis showed that the landslide susceptibility map could be used for land planning as well as emergency planning by local authorities in this region. Geological Society of India, 2013 Landslide susceptibility nationallicence Wenchuan earthquake nationallicence Zhouqu segment nationallicence China nationallicence Bai Shibiao College of Geographical Sciences, Key Laboratory of Virtual Geographic Environments (National Education Administration), Nanjing Normal University, 210046, Nanjing, China aut Xu Qiang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu Iniversity of Technology, 610059, Chengdu, China aut Wang Jian College of Geographical Sciences, Key Laboratory of Virtual Geographic Environments (National Education Administration), Nanjing Normal University, 210046, Nanjing, China aut Zhou Pinggen China Institute of Geo-Environment Monitoring, Beijing, China aut Journal of the Geological Society of India Springer India 82/5(2013-11-01), 575-582 0016-7622 82:5<575 2013 82 12594 https://doi.org/10.1007/s12594-013-0190-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12594-013-0190-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bai Shibiao College of Geographical Sciences, Key Laboratory of Virtual Geographic Environments (National Education Administration), Nanjing Normal University, 210046, Nanjing, China aut NATIONALLICENCE 700 1- Xu Qiang State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu Iniversity of Technology, 610059, Chengdu, China aut NATIONALLICENCE 700 1- Wang Jian College of Geographical Sciences, Key Laboratory of Virtual Geographic Environments (National Education Administration), Nanjing Normal University, 210046, Nanjing, China aut NATIONALLICENCE 700 1- Zhou Pinggen China Institute of Geo-Environment Monitoring, Beijing, China aut NATIONALLICENCE 773 0- Journal of the Geological Society of India Springer India 82/5(2013-11-01), 575-582 0016-7622 82:5<575 2013 82 12594 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer