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Landslide mechanism analysis in the Three Gorges based on cloud model and formal concept analysis

Wang Xianmin, R. Niu and Y. Wang
Landslide mechanism analysis in the Three Gorges based on cloud model and formal concept analysis
Quarterly Journal of Engineering Geology and Hydrogeology (May 2011) 44 (2): 249-258


In the Three Gorges major landslides are the primary disasters, and endanger the normal running of the Three Gorges Dam and the life and property of the residents in the region. Hence, it is very important to formulate effective strategies for the prevention and remediation of landslides in this region, as part of which landslide mechanism analysis is an important task. In this paper, landslide mechanism analysis in the Three Gorges is carried out based on spatial data mining and knowledge discovery. The 1:50000 geological map, 1:10000 relief map and China-Brazil Earth Resources Satellite (Cbers) images were adopted to produce the key factors influencing landslide development, including engineering rock group, reservoir water fluctuation, vegetation coverage, slope structure, elevation, slope and aspect. A soft partition method was adopted to elevate the knowledge levels and formulate the quantification factors qualitatively based on the cloud model. In terms of these qualitative factors, a concept grid is built based on formal concept analysis and a concept grid algorithm. Based on this concept grid, the knowledge related to landslide mechanism is mined from the multi-theme landslide data, including the associations between the various factors that influence a landslide, the circumstances in which a landslide is easily triggered, and the relationship between landslide probability and factor combination. The experimental results show that the knowledge of landslide causes mined by our method possesses high confidence and is in agreement with the field circumstances. Therefore, the spatial data mining method proposed in this paper is suitable for landslide mechanism analysis. It can achieve the transformation between quantitative detection data of landslides and qualitative human mind, thereby leading to an innovative approach for landslide mechanism analysis.

ISSN: 1470-9236
EISSN: 2041-4803
Serial Title: Quarterly Journal of Engineering Geology and Hydrogeology
Serial Volume: 44
Serial Issue: 2
Title: Landslide mechanism analysis in the Three Gorges based on cloud model and formal concept analysis
Affiliation: China University of Geosciences, Institute of Geophysics and Geomatics, Wuhan, China
Pages: 249-258
Published: 201105
Text Language: English
Publisher: Geological Society of London, London, United Kingdom
References: 25
Accession Number: 2011-048431
Categories: Engineering geologyEnvironmental geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 8 tables, sketch map
N30°45'00" - N31°15'00", E109°30'00" - E111°00'00"
Country of Publication: United Kingdom
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data from The Geological Society, London, London, United Kingdom
Update Code: 201127
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