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GIS approach to seismic slope stability.

Khazai, Bijan.

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GIS approach to seismic slope stability.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GIS approach to seismic slope stability./
作者:	Khazai, Bijan.
面頁冊數:	291 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4803.
Contained By:	Dissertation Abstracts International65-09B.
標題:	Geotechnology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3146919
ISBN:	0496052489

GIS approach to seismic slope stability.
Khazai, Bijan.

GIS approach to seismic slope stability. - 291 p.

Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4803.

Thesis (Ph.D.)--University of California, Berkeley, 2004.

In recent years there has been a growing interest in developing GIS based models for mapping and analysis of landslides caused by earthquakes. Based on a rich GIS database for three recent historical cases, 1999 Chi-Chi, 1994 Northridge and 1989 Loma Prieta earthquakes, susceptibility factors in earthquake-induced landsliding were evaluated for landslide hazard assessment. GIS was used to conduct a spatial characterization of the slope failures, including distribution of type, size, slope angle, bedrock geology, ground motion, and distance from earthquake source. These factors were used to compare landslides generated by the Chi-Chi earthquake to the landslides triggered by the 1989 Loma Prieta earthquake and the 1994 Northridge earthquake.

ISBN: 0496052489Subjects--Topical Terms:

1018558
Geotechnology.

GIS approach to seismic slope stability.
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500 $a Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4803.
500 $a Chair: Nicholas Sitar.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2004.
520 $a In recent years there has been a growing interest in developing GIS based models for mapping and analysis of landslides caused by earthquakes. Based on a rich GIS database for three recent historical cases, 1999 Chi-Chi, 1994 Northridge and 1989 Loma Prieta earthquakes, susceptibility factors in earthquake-induced landsliding were evaluated for landslide hazard assessment. GIS was used to conduct a spatial characterization of the slope failures, including distribution of type, size, slope angle, bedrock geology, ground motion, and distance from earthquake source. These factors were used to compare landslides generated by the Chi-Chi earthquake to the landslides triggered by the 1989 Loma Prieta earthquake and the 1994 Northridge earthquake.
520 $a A GIS-based framework, which combines statistical techniques for parameter estimation based on a combination of susceptibility factors with process-driven models of slope and site response has been developed for the delineation of seismically-induced landslide hazards for a study area in the East Bay Hills. The motivation for this work has been to advance the state-of-the-art in regional seismic slope stability hazard modeling which to date is limited by the degree of accuracy of the input geotechnical information and by the degree to which uncertainties inherent in both the model and input parameters are represented in seismic landslide hazard maps. The major contribution of this work is the development of a framework to represent the spatial variability in shear strength estimates for regional hazard modeling. In this work a methodology based on spatially-explicit statistical modeling, such as Geographically Weighted Regression (GWR), was used to mine the relationships between material shear strength properties and environmental variables in order to derive predictions of material shear strength for a selected study area. The spatial variability in the shear strength estimates is then expressed through a 100-meter grid cell shear strength with associated prediction error values. The results show that predicted displacements based on statistically-estimated shear strength grid display a higher degree of correspondence with pre-existing landslides, when compared with predicted displacements based on shear strengths estimated for entire geologic units.
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