TY - JOUR

T1 - Statistical seismic landslide hazard analysis

T2 - An example from Taiwan

AU - Lee, Chyi Tyi

N1 - Publisher Copyright:
© 2014 Elsevier B.V.

PY - 2014/11/9

Y1 - 2014/11/9

N2 - Following the work of Lee et al. (2008a), a statistical approach is applied to seismic landslide hazard analysis for the whole of Taiwan. All the work is done using new data sets, which include a new and carefully mapped Chi-Chi earthquake-induced landslide inventory, a 5-m DEM, and a new version of the 1:50,000-scale geologic map of Taiwan. Landslide causative factors used in the susceptibility analysis include the slope gradient, slope aspect, terrain roughness, slope roughness, total curvature, total slope height, and lithology. The corrected Arias intensity taking topographic amplification into consideration is used as a triggering factor.Firstly, a susceptibility model is built using the 1999 Chi-Chi shallow landslides as a training data set and multivariate logistic regression as the analytical tool. This model is validated by using the 1998 Jueili earthquake-induced landslide data. Then, a probability-of-failure curve is established by comparing the Chi-Chi landslide data and the susceptibility values, after which the spatial probability of landslide occurrence is drawn. The temporal probability may be accounted for with the triggering factor (the hazard level of the Arias intensity), which was obtained through regular probabilistic seismic hazard analysis. Finally, the susceptibility model and the probability-of-failure curve are applied to the whole of Taiwan using the topographically corrected 475-year Arias intensity as a triggering factor to complete a seismic shallow-landslide probability map for ground-motions having a 475-year return period.

AB - Following the work of Lee et al. (2008a), a statistical approach is applied to seismic landslide hazard analysis for the whole of Taiwan. All the work is done using new data sets, which include a new and carefully mapped Chi-Chi earthquake-induced landslide inventory, a 5-m DEM, and a new version of the 1:50,000-scale geologic map of Taiwan. Landslide causative factors used in the susceptibility analysis include the slope gradient, slope aspect, terrain roughness, slope roughness, total curvature, total slope height, and lithology. The corrected Arias intensity taking topographic amplification into consideration is used as a triggering factor.Firstly, a susceptibility model is built using the 1999 Chi-Chi shallow landslides as a training data set and multivariate logistic regression as the analytical tool. This model is validated by using the 1998 Jueili earthquake-induced landslide data. Then, a probability-of-failure curve is established by comparing the Chi-Chi landslide data and the susceptibility values, after which the spatial probability of landslide occurrence is drawn. The temporal probability may be accounted for with the triggering factor (the hazard level of the Arias intensity), which was obtained through regular probabilistic seismic hazard analysis. Finally, the susceptibility model and the probability-of-failure curve are applied to the whole of Taiwan using the topographically corrected 475-year Arias intensity as a triggering factor to complete a seismic shallow-landslide probability map for ground-motions having a 475-year return period.

KW - Arias intensity

KW - Earthquake-induced landslides

KW - Landslide hazard

KW - Landslide inventory

KW - Landslide susceptibility

KW - Landslides

UR - http://www.scopus.com/inward/record.url?scp=85027939865&partnerID=8YFLogxK

U2 - 10.1016/j.enggeo.2014.07.023

DO - 10.1016/j.enggeo.2014.07.023

M3 - 期刊論文

AN - SCOPUS:85027939865

SN - 0013-7952

VL - 182

SP - 201

EP - 212

JO - Engineering Geology

JF - Engineering Geology

IS - PB

ER -