
A technique to discriminate landslides
Author(s) -
N. Gunmg,
Yushiro Iwao
Publication year - 2001
Publication title -
journal of nepal geological society
Language(s) - English
Resource type - Journals
ISSN - 2676-1378
DOI - 10.3126/jngs.v23i0.32028
Subject(s) - landslide , histogram , geology , contour line , scale (ratio) , cartography , statistical analysis , square (algebra) , interval (graph theory) , geodesy , statistics , geomorphology , geography , artificial intelligence , computer science , mathematics , image (mathematics) , geometry , combinatorics
This paper describes an innovative way of distinguishing landslide-prone regions by simple and direct measurement and statistical interpretation of a topographic map. For this purpose, the topographic maps are enlarged and the contour interval and cross-slope distances are measured. A frequency distribution histogram based on chi-square method is constructed from the measurements. Generally, two fundamental patterns emerge from the histogram: the landslide-prone area shows several peaks whereas the remaining area shows just a single peak.
The technique was used to study the landslide-prone areas of the western Kyushu District of Japan. Six sub-regions were categorised depending upon the scale functions and probability parameters. The landslide-prone and safe areas were accurately discriminated under 0. 1 to 1% confidence level. The analysis independently discovered most of the hazardous areas that were later verified in the field.