Incorporating the effects of topographic amplification in the analysis of earthquake-induced landslide hazards using logistic regression

研究成果: Article

8 引文 (Scopus)

摘要

Seismic-induced landslide hazards are studied using seismic shaking intensity based on the topographic amplification effect. The estimation of the topographic effect includes the theoretical topographic amplification factors and the corresponding amplified ground motion. Digital elevation models (DEM) with a 5-m grid space are used. The logistic regression model and the geographic information system (GIS) are used to perform the seismic landslide hazard analysis. The 99 Peaks area, located 3 km away from the ruptured fault of the Chi-Chi earthquake, is used to test the proposed hypothesis. An inventory map of earthquake-triggered landslides is used to produce a dependent variable that takes a value of 0 (no landslides) or 1 (landslides). A set of independent parameters, including lithology, elevation, slope gradient, slope aspect, terrain roughness, land use, and Arias intensity (Ia) with the topographic effect. Subsequently, logistic regression is used to find the best fitting function to describe the relationship between the occurrence and absence of landslides within an individual grid cell. The results of seismic landslide hazard analysis that includes the topographic effect (AUROC = 0.890) are better than those of the analysis without it (AUROC = 0.874).

原文English
頁(從 - 到)2475-2488
頁數14
期刊Natural Hazards and Earth System Science
10
發行號12
DOIs
出版狀態Published - 2010 十二月 13

指紋

landslide
logistics
amplification
hazard
earthquake
topographic effect
effect
analysis
ground motion
digital elevation model
roughness
lithology
land use

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

引用此文

@article{5a9b61815a6649bdbccc05ee8c0c5d05,
title = "Incorporating the effects of topographic amplification in the analysis of earthquake-induced landslide hazards using logistic regression",
abstract = "Seismic-induced landslide hazards are studied using seismic shaking intensity based on the topographic amplification effect. The estimation of the topographic effect includes the theoretical topographic amplification factors and the corresponding amplified ground motion. Digital elevation models (DEM) with a 5-m grid space are used. The logistic regression model and the geographic information system (GIS) are used to perform the seismic landslide hazard analysis. The 99 Peaks area, located 3 km away from the ruptured fault of the Chi-Chi earthquake, is used to test the proposed hypothesis. An inventory map of earthquake-triggered landslides is used to produce a dependent variable that takes a value of 0 (no landslides) or 1 (landslides). A set of independent parameters, including lithology, elevation, slope gradient, slope aspect, terrain roughness, land use, and Arias intensity (Ia) with the topographic effect. Subsequently, logistic regression is used to find the best fitting function to describe the relationship between the occurrence and absence of landslides within an individual grid cell. The results of seismic landslide hazard analysis that includes the topographic effect (AUROC = 0.890) are better than those of the analysis without it (AUROC = 0.874).",
author = "Lee, {S. T.} and Yu, {T. T.} and Peng, {W. F.} and Wang, {C. L.}",
year = "2010",
month = "12",
day = "13",
doi = "10.5194/nhess-10-2475-2010",
language = "English",
volume = "10",
pages = "2475--2488",
journal = "Natural Hazards and Earth System Science",
issn = "1561-8633",
publisher = "European Geosciences Union",
number = "12",

}

TY - JOUR

T1 - Incorporating the effects of topographic amplification in the analysis of earthquake-induced landslide hazards using logistic regression

AU - Lee, S. T.

AU - Yu, T. T.

AU - Peng, W. F.

AU - Wang, C. L.

PY - 2010/12/13

Y1 - 2010/12/13

N2 - Seismic-induced landslide hazards are studied using seismic shaking intensity based on the topographic amplification effect. The estimation of the topographic effect includes the theoretical topographic amplification factors and the corresponding amplified ground motion. Digital elevation models (DEM) with a 5-m grid space are used. The logistic regression model and the geographic information system (GIS) are used to perform the seismic landslide hazard analysis. The 99 Peaks area, located 3 km away from the ruptured fault of the Chi-Chi earthquake, is used to test the proposed hypothesis. An inventory map of earthquake-triggered landslides is used to produce a dependent variable that takes a value of 0 (no landslides) or 1 (landslides). A set of independent parameters, including lithology, elevation, slope gradient, slope aspect, terrain roughness, land use, and Arias intensity (Ia) with the topographic effect. Subsequently, logistic regression is used to find the best fitting function to describe the relationship between the occurrence and absence of landslides within an individual grid cell. The results of seismic landslide hazard analysis that includes the topographic effect (AUROC = 0.890) are better than those of the analysis without it (AUROC = 0.874).

AB - Seismic-induced landslide hazards are studied using seismic shaking intensity based on the topographic amplification effect. The estimation of the topographic effect includes the theoretical topographic amplification factors and the corresponding amplified ground motion. Digital elevation models (DEM) with a 5-m grid space are used. The logistic regression model and the geographic information system (GIS) are used to perform the seismic landslide hazard analysis. The 99 Peaks area, located 3 km away from the ruptured fault of the Chi-Chi earthquake, is used to test the proposed hypothesis. An inventory map of earthquake-triggered landslides is used to produce a dependent variable that takes a value of 0 (no landslides) or 1 (landslides). A set of independent parameters, including lithology, elevation, slope gradient, slope aspect, terrain roughness, land use, and Arias intensity (Ia) with the topographic effect. Subsequently, logistic regression is used to find the best fitting function to describe the relationship between the occurrence and absence of landslides within an individual grid cell. The results of seismic landslide hazard analysis that includes the topographic effect (AUROC = 0.890) are better than those of the analysis without it (AUROC = 0.874).

UR - http://www.scopus.com/inward/record.url?scp=78649895368&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649895368&partnerID=8YFLogxK

U2 - 10.5194/nhess-10-2475-2010

DO - 10.5194/nhess-10-2475-2010

M3 - Article

AN - SCOPUS:78649895368

VL - 10

SP - 2475

EP - 2488

JO - Natural Hazards and Earth System Science

JF - Natural Hazards and Earth System Science

SN - 1561-8633

IS - 12

ER -