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An Correlation Analysis of Risk Factors for Mountainous Disaster Using a Probability-Based Method

  • Crisisonomy
  • Abbr : KRCEM
  • 2016, 12(5), pp.133-141
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general

Oh ChaeYeon 1 Kye-Won Jun 1

1강원대학교

Accredited

ABSTRACT

A scientific analysis of landslide risk areas along with the collection and analysis of a variety of spatial information would be critical for minimizing damage in the event of mountainous disasters such as landslide and debris flow. We used GIS to construct a spatial information database integrating the data required for a comprehensive analysis of landslide risk areas including geography, hydrology, pedology, and forestry. We also carried out a case study of the selected areas at Inje, Gangwon province which suffered from serious landslides due to flash floods by Typhoon Ewiniar in 2006. We overlaid the site monitoring data with airborne images using the weight values (W+ and W-) which were calculated for each element by the GIS-based Weight of Evidence(WOE) model. We then analyzed the spatial data which were significantly correlated with the landslide occurrence and predicted the mountainous areas with elevated risks of landslide which are vulnerable to disasters.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.