4.7 Article

Combined landslide susceptibility mapping after Wenchuan earthquake at the Zhouqu segment in the Bailongjiang Basin, China

Journal

CATENA
Volume 99, Issue -, Pages 18-25

Publisher

ELSEVIER
DOI: 10.1016/j.catena.2012.06.012

Keywords

Landslide susceptibility; Wenchuan earthquake; Multi-temporal landslides; Zhouqu to Wudu segment; China

Funding

  1. National Natural Science Foundation of China [40801212]
  2. Opening Fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection of Chendu University of Technology, China [SKLGP2012K012]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions

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In this study, two separate landslide susceptibility maps using multi-temporal landslide and Wenchuan earthquake triggered landslide datasets were carried out based on GIS and logistic regression model at Zhouqu segment in the Bailongjiang Basin in North-western China. This region has already been strongly affected by 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 two landslide inventories, of which the first lists historical landslides and the latter contains only slope failures attributed to the 2008 earthquake. Additional data sources include landslide causative factor such as a digital elevation model (DEM) with a 30x30 m(2) resolution, orthophotos, geological and land-use maps, precipitation records and information on peak ground acceleration data from the 2008 earthquake. The comparison of the two computed maps shows that susceptibility classes are consistent for over 58% of study area. Changes of one or more classes were observed for approximately 36% and 6%, respectively. Finally, both susceptibility maps were combined to describe the maximum likelihood of landslide occurrences. The overall high prediction rates of the calculated susceptibility maps make them an ideal basis for the use within regional spatial planning as well as for the organization of emergency actions by local authorities. (C) 2012 Elsevier B.V. All rights reserved.

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