A GIS-based landslide hazard assessment by multivariate analysis
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概要
- 論文の詳細を見る
The occurrence of landslides generally depends on complex interactions among a large number of partially interrelated factors. It is appropriate to use multivariate analysis for predicting landslides from a given set of independent variables. However, the procedure of landslide hazard assessment by regression analysis requires the evaluation of the spatially varying terrain conditions as well as spatial representation of the landslides. In this paper, multivariate regression analysis was applied to predict landslides in the Himi district from independent factors, such as geology, clinal-aspect, slope angle, land use and soil using Geographic Information System (GIS) . Based on GIS, every factor was classified into several categories and then the statistical weight of every cluster was assigned for every factor respectively. By the weights of five factors, the linear regressions coefficients of these input factors in landslide area were extracted and assigned to the whole region, and then the susceptibility for the potential landslide was obtained to make the landslide hazard assessment map. According to the coefficients in the Himi district, geology and clinal-aspect factors are the most important ones. Soil factor is not so notable in this research region, though it may be significant in other regions. Finally, the average susceptibilities map for existing landslides was made for the engineers to do control work.
- 社団法人 日本地すべり学会の論文
- 2008-09-25
著者
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NAKAMURA Hiroyuki
Tokyo University of Agriculture and Technology
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Pan Xiaoduo
Laboratory Of Remote Sensing And Geospatial Science Cold And Arid Regions Environmental And Engineer
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NOZAKI Tamotsu
ARCGEO Inc.
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HUANG Xiaozhong
CAEP, College of Earth and Environment Sciences, Lanzhou University
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Huang Xiaozhong
Caep College Of Earth And Environment Sciences Lanzhou University
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