Application of Fuzzy Logic GIS to Modelling Coseismic Landslide Susceptibility in the Southern Alps, New Zealand, from a Potential Alpine Fault Earthquake
Abstract:
This study uses statistical analysis of substantially complete coseismic landslide inventories from Northridge, CA and Wenchuan, China to identify common regional factors which appear to control the spatial distribution of landsliding in both locations. These factors were: shaking intensity (MMI), slope angle, distance to faults and streams, and slope position. Factors such as slope curvature, slope aspect, and elevation played no consistent role in the formation of landslides. Combining these observations with fuzzy logic in GIS we are able to successfully model landslide susceptibility for the 1999 Chi-Chi, Taiwan earthquake. This suggests that modelling susceptibility for a given earthquake scenario is possible, using observations of historic events in similar geotectonic environments. Applying the result to a potential M8 Alpine fault earthquake in New Zealand yields a susceptibility map for the entire South Island. High susceptibility is modelled across an area >50,000 km2, predominantly focussed on the western rangefront of the Southern Alps. Landsliding therefore has the potential to be widespread, presenting a range of major hazards.
