Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong

• Published in: Geomorphology (Amsterdam, Netherlands) Vol. 42; no. 3; pp. 213 - 228
• Main Authors: Dai, F.C, Lee, C.F
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 15.01.2002; Elsevier
• Subjects: Areal geology. Maps; Bgi / Prodig; China, People's Rep., Hong Kong, Lantau I; Earth sciences; Earth, ocean, space; Engineering and environment geology. Geothermics; Exact sciences and technology; Geographical Information Systems (GIS); Geologic maps, cartography; Geomorphology; Landslides; Logistic multiple regression; Natural hazards: prediction, damages, etc; Physical geography; Runout; Slopes; Hong Kong; Far East; Landslides; Logistic multiple regression; Runout; Geographical Information Systems (GIS); models; land use; maps; Asia; islands; landslides; instability; regression analysis; geographic information systems; drainage; landform evolution; slope stability; Thematic map; Tropical zone; Forecast; Model; Landslide; Regression analysis; Slope dynamics; Geographical information system; Data base; Slope
• ISSN: 0169-555X; 1872-695X
• DOI: 10.1016/S0169-555X(01)00087-3

Steep terrain and high a frequency of tropical rainstorms make landslide occurrence on natural terrain a common phenomenon in Hong Kong. This paper reports on the use of a Geographical Information Systems (GIS) database, compiled primarily from existing digital maps and aerial photographs, to describe the physical characteristics of landslides and the statistical relations of landslide frequency with the physical parameters contributing to the initiation of landslides on Lantau Island in Hong Kong. The horizontal travel length and the angle of reach, defined as the angle of the line connecting the head of the landslide source to the distal margin of the displaced mass, are used to describe runout behavior of landslide mass. For all landslides studied, the horizontal travel length of landslide mass ranges from 5 to 785 m, with a mean value of 43 m, and the average angle of reach is 27.7°. This GIS database is then used to obtain a logistic multiple regression model for predicting slope instability. It is indicated that slope gradient, lithology, elevation, slope aspect, and land-use are statistically significant in predicting slope instability, while slope morphology and proximity to drainage lines are not important and thus excluded from the model. This model is then imported back into the GIS to produce a map of predicted slope instability. The results of this study demonstrate that slope instability can be effectively modeled by using GIS technology and logistic multiple regression analysis.