Landslide risk prediction based on coupling GIS and second theory of quantification

Guoyun Zhou, Guangqi Chen

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A new geographical information system (GIS)-based landslide risk prediction method using Hayashi s quantification theory is proposed and applied to a landslide prone area in Minamata City of Kumamoto Prefecture. In the past, Hayashi s quantification theory was used in slope failure hazard mapping; however, the preparation of larger spatial data is very hard; the work efficiency is low; and the reliability of the results is doubtful sometimes. A preparation method of a series of GIS-based spatial data is proposed for quantification theory analysis; and the results of the analytical results can be input into GIS to make hazard map directly. The application of the proposed method in Minamata area shows that the created hazard map agrees well with the real slope failure condition.

Original languageEnglish
Pages (from-to)2494-2500
Number of pages7
JournalYanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering
Volume27
Issue number12
Publication statusPublished - Dec 2008

Fingerprint

Landslides
landslide
Hazards
Information systems
GIS
hazard
slope failure
spatial data
prediction
method

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geology
  • Civil and Structural Engineering

Cite this

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