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Terain stability assessment using logistic regression analysis for the Jamieson-Orchid-Elbow Creeks subdrainage, Seymour River Basin, British Columbia Gulyás, Gyula
Abstract
The purpose of this research project was to develop a procedure for terrain stability assessment by applying case-control sampling and multiple logistic regression analysis, widely used statistical techniques in biomedical research and in epidemiology. The idea of applying statistical methods used in epidemiology to terrain stability assessment was based on the observation that landslides, like some diseases, are rare phenomena. The implementation of a terrain stability assessment based on these statistical techniques was expected to help understand the causeeffect relationships between landsliding and various terrain attributes. In contrast to the currently used approaches, the study procedure provided a quantitative tool to assess the risk of landsliding and to define the most important terrain attributes that contribute to soil mass movements. A case-control study of 20x20 m grid cells with average slope greater than 10 degrees was conducted on the Jamieson-Orchid-Elbow Creeks subdrainage of the Seymour River Basin, British Columbia. All of the 101 landslide cases were compared with 264 control grid cells. Multi-way cross classification tables were constructed to study the relationship between landsliding and several terrain attributes. A possible interaction between slope angle and the drainage condition of the soil was detected. A logistic regression analysis was then performed within a Geographic Information System (GIS) environment to develop a landslide risk model for the Jamieson-Orchid-Elbow Creeks study area. A landslide risk matrix was then constructed based on the landslide risk model. It was found that sites located in the transient snow zone, with slope angle greater than 55 degrees, on bedrock outcrop surficial material type and on shallow soil have the greatest risk of experiencing rapid, shallow soil mass movements. It was also found that holding all the other variables constant, slope angle had the greatest effect on the magnitude of landslide risk. Based on the data, sites with very steep slopes (over 55 degrees) have, on the average, five times the chance of experiencing a landslide event relative to sites with gentle slopes (10-25 degrees). The landslide risk matrix was used to create landslide risk categories. The spatial distribution of landslide risk, categorized as very low, low, moderate, high and very high, is portrayed within 20-m square grid cells on the landslide risk map. The major advantage of using the landslide risk assessment of this study is that it provides the terrain mapper with quantitative information about the relative risk of landsliding. This information can be used as a tool in planning watershed management activities and in an overall risk assessment for a given geographic area.
Item Metadata
Title |
Terain stability assessment using logistic regression analysis for the Jamieson-Orchid-Elbow Creeks subdrainage, Seymour River Basin, British Columbia
|
Creator | |
Publisher |
University of British Columbia
|
Date Issued |
1995
|
Description |
The purpose of this research project was to develop a procedure for terrain
stability assessment by applying case-control sampling and multiple logistic
regression analysis, widely used statistical techniques in biomedical research and in
epidemiology. The idea of applying statistical methods used in epidemiology to
terrain stability assessment was based on the observation that landslides, like some
diseases, are rare phenomena. The implementation of a terrain stability assessment
based on these statistical techniques was expected to help understand the causeeffect
relationships between landsliding and various terrain attributes. In contrast to
the currently used approaches, the study procedure provided a quantitative tool to
assess the risk of landsliding and to define the most important terrain attributes that
contribute to soil mass movements.
A case-control study of 20x20 m grid cells with average slope greater than 10
degrees was conducted on the Jamieson-Orchid-Elbow Creeks subdrainage of the
Seymour River Basin, British Columbia. All of the 101 landslide cases were
compared with 264 control grid cells. Multi-way cross classification tables were
constructed to study the relationship between landsliding and several terrain
attributes. A possible interaction between slope angle and the drainage condition of
the soil was detected. A logistic regression analysis was then performed within a
Geographic Information System (GIS) environment to develop a landslide risk
model for the Jamieson-Orchid-Elbow Creeks study area. A landslide risk matrix
was then constructed based on the landslide risk model. It was found that sites
located in the transient snow zone, with slope angle greater than 55 degrees, on
bedrock outcrop surficial material type and on shallow soil have the greatest risk of
experiencing rapid, shallow soil mass movements. It was also found that holding all
the other variables constant, slope angle had the greatest effect on the magnitude of
landslide risk. Based on the data, sites with very steep slopes (over 55 degrees)
have, on the average, five times the chance of experiencing a landslide event
relative to sites with gentle slopes (10-25 degrees).
The landslide risk matrix was used to create landslide risk categories. The
spatial distribution of landslide risk, categorized as very low, low, moderate, high
and very high, is portrayed within 20-m square grid cells on the landslide risk map.
The major advantage of using the landslide risk assessment of this study is that
it provides the terrain mapper with quantitative information about the relative risk of
landsliding. This information can be used as a tool in planning watershed
management activities and in an overall risk assessment for a given geographic area.
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Extent |
9526325 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-01-20
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0103800
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1995-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.