4.6 Article

Determining landslide susceptibility in Central Taiwan from rainfall and six site factors using the analytical hierarchy process method

Journal

GEOMORPHOLOGY
Volume 112, Issue 3-4, Pages 190-204

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.geomorph.2009.06.002

Keywords

Landslide susceptibility assessment model; Landslide-susceptibility threshold value; Analytical hierarchy process; Rainfall events; Taiwan

Funding

  1. Water Resource Agency, Ministry of Economic Affairs, Taiwan, ROC

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This work provides a landslide susceptibility assessment model for rainfall-induced landslides in Central Taiwan based on the analytical hierarchy process method. The model considers rainfall and six site factors, including slope, geology, vegetation, soil moisture, road development and historical landslides. The rainfall factor consists of 10-day antecedent rainfall and total rainfall during a rainfall event Landslide susceptibility values are calculated for both before and after the beginning of a rainfall event. The 175 landslide cases with detailed field surveys are used to determine a landslide-susceptibility threshold value of 9.0. When a landslide susceptibility assessment value exceeds the threshold value, slope failure is likely to occur. Three zones with different landslide susceptibility levels (below, slightly above, and far above the threshold) are identified. The 9149 landslides caused by Typhoon Toraji in Central Taiwan are utilized to validate the study's result. Approximately, 0.2%, 0.4% and 15.3% of the typhoon-caused landslides are located in the three landslide susceptibility zones, respectively. Three villages with 6.6%, 0.4% and 4.9% of the landslides respectively are used to validate the accuracy of the landslide susceptibility map and analyze the main causes of landslides. The landslide susceptibility assessment model can be used to evaluate susceptibility relative to accumulated rainfall, and is useful as an early warning and landslide monitoring tool. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.

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