Discriminant analysis of the geomorphic characteristics and stability of landslide dams

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27612

Title:	Discriminant analysis of the geomorphic characteristics and stability of landslide dams
Authors:	Dong,JJ;Tung,YH;Chen,CC;Liao,JJ;Pan,YW
Contributors:	應用地質研究所
Keywords:	HAZARD ASSESSMENT;NEW-ZEALAND;STATISTICAL APPROACH;SUSCEPTIBILITY;EARTHQUAKE;MODELS;PREDICTION;VALIDATION
Date:	2009
Issue Date:	2010-06-29 18:41:57 (UTC+8)
Publisher:	中央大學
Abstract:	Landslides can cause the formation of dams, but these dams often fail soon after lake formation. Thus, rapidly evaluating the stability of a landslide dam is crucial for effective hazard mitigation. This study utilizes discriminant analysis based on a Japanese dataset consisting of 43 well documented landslide dams to determine the significant variables, including log-transformed peak flow (or catchment area), and log-transformed dam height, width and length in hierarchical order, which affect the stability of a landslide dam. The high overall prediction power (88.4% of the 43 training cases are correctly classified) and the high cross-validation accuracy (86%) demonstrate the robustness of the proposed discriminant models PHWL (with variables including log-transformed peak flow, and log-transformed dam height, width and length) and AHWL (with variables including log-transformed catchment area, and log-transformed dam height, width and length). Compared to a previously proposed "DBI" index-based graphic approach, the discriminant model AHV - which uses the log-transformed catchment area, dam height, and dam volume as relevant variables - shows better ability to evaluate the stability of landslide dams. Although these discriminant models are established using a Japanese dataset only, the present multivariate statistical approach can be applied for an expanded dataset without any difficulty when more completely documented worldwide landslide-dam data are available. (C) 2009 Elsevier B.V. All rights reserved.
Relation:	GEOMORPHOLOGY
Appears in Collections:	[Graduate Institute of Applied Geology] journal & Dissertation

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