Abstract
Prediction of shallow landslides using GIS, geotechnical slope stability, and soil moisture models
Abstracts with programs - Geological Society of America, Vol.28(7), p.527
Geological Society of America, 28th annual meeting
1996
Abstract
Shallow landslides play an important role in the development of slopes and thus in the genesis of landscapes. They can also have significant impacts on human habitat. Prediction of landslides has concentrated either on transient factors such as precipitation or static parameters such as soil, slope angle and lithology. The former leads to an appreciation of the rainfall conditions necessary to trigger failure within an area. The latter approach attempts to identify the exact locations where the failures are likely to take place. Soil moisture conditions are at the interface between these two approaches, since fluctuations in pore pressure are controlled by climatic factors. This research explores how modelling of soil moisture can be integrated with geotechnical slope stability models and climatic factors in order to achieve a better understanding of where and when slope failures will occur. This type of modelling requires that it is performed within a GIS environment. It also aims to demonstrate that physical modelling can be effectively achieved in a GIS. The test area is the San Dimas Experimental Forest in the San Gabriel Mountains near Los Angeles, CA.
Details
- Title: Subtitle
- Prediction of shallow landslides using GIS, geotechnical slope stability, and soil moisture models
- Creators
- Leonhard Blesius - University of IowaFrank H Weirich
- Resource Type
- Abstract
- Publication Details
- Abstracts with programs - Geological Society of America, Vol.28(7), p.527
- Conference
- Geological Society of America, 28th annual meeting
- Publisher
- Geological Society of America (GSA)
- ISSN
- 0016-7592
- Alternative title
- Geological Society of America, 28th annual meeting
- Language
- English
- Date published
- 1996
- Academic Unit
- Civil and Environmental Engineering; Earth and Environmental Sciences
- Record Identifier
- 9984240887502771
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