Assessment of Rainfall-Induced Landslide Susceptibility Using GIS-Based Slope Unit Approach
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 4
Abstract
In this study, in order to map storm event–induced landslide susceptibility for central Taiwan, remote-sensing data were used to interpret landslides using a geographical information system (GIS). Discriminant analysis was used to establish rules that can successfully classify landslide and nonlandslide slopes. GIS-based slope units were used as the terrain subdivision to determine landslide susceptibility. A set of causative factors and a triggering factor were used to build a landslide prediction model. Data for shallow landslides triggered by three crucial rainfall events in July 2001, July 2004, and June 2006 were selected for developing the model. Among the factors used, the total accumulated rainfall is found to be a key factor in the interpretation of landslides. The landslide susceptibility maps were built for the Guoshin region and validated using predicting samples and data from a subsequent storm event, the 2008 Sinlaku typhoon. Results show that the developed model is capable of predicting the shallow landslide distribution induced by heavy rainfall in the study area.
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Published In
Journal of Performance of Constructed Facilities
Volume 31 • Issue 4 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Apr 3, 2016
Accepted: Oct 17, 2016
Published ahead of print: Feb 15, 2017
Published online: Feb 16, 2017
Discussion open until: Jul 16, 2017
Published in print: Aug 1, 2017
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