4.6 Article

On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong

Journal

GEOMORPHOLOGY
Volume 43, Issue 3-4, Pages 197-207

Publisher

ELSEVIER
DOI: 10.1016/S0169-555X(01)00130-1

Keywords

landslide; spatial distribution pattern; geographical information systems; statistical spatial analysis; interactive mapping

Ask authors/readers for more resources

This paper presents a statistical approach to study the spatial relationship between landslides and their causative factors at the regional level. The approach is based on digital databases, and incorporates such methods as statistics, spatial pattern analysis, and interactive mapping, Firstly, the authors propose an object-oriented conceptual model for describing a landslide event. and a combined database of landslides and environmental factors is constructed by integrating the various databases within such a conceptual framework. The statistical histogram, spatial overlay, and dynamic mapping methods are linked together to interactively evaluate the spatial pattern of the relationship between landslides and their causative factors. A case study of an extreme event in 1993 on Lantau Island indicates that rainfall intensity and the migration of the center of the rainstorm greatly influence the occurrence of landslides on Lantau Island. A regional difference in the relationship between landslides and topography is identified. Most of the landslides in the middle and western parts of the island occurred on slopes with slope angles of 25-35degrees, while in the eastern part, the corresponding range is 30-35degrees. Overlaying landslide data with land cover reveals that a large number of landslides occur-red in the bareland and shrub-covered area, and in the transition zones between different vegetation types. The proposed approach can be used not only to analyze the general characteristics of such a relationship, but also to depict its spatial distribution and variation, thereby providing a sound basis for regional landslide prediction, (C) 2002 Elsevier Science B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available