KLANAWA LANDSLIDE HAZARD MAPPING PILOT PROJECT
The approach depends on statistical inference based on landslide densities determined over relatively large areas and involves four steps:
1. Map and database creation, involving terrain and landslide inventories in a series of logged areas representative of a larger area.
2. Intersection of terrain, landslide and other data (e.g., bedrock geology and slope) using GIS.
3. Analysis of the data using univariate and multi-variate statistics to identify relationships between predictor variables and landslide rates.
4. Developing simple algorithms to generate landslide hazard maps that portray expected hazard as landslide densities for forest road construction and harvesting.
We assume that most landslides related to logging and road construction occur in the first 5 to 15 years after harvest. We also make the assumption that relationships developed in logged areas can be extrapolated to similar terrain in forested areas within the same geographic area. What is not known is if the landslides rates documented after the first-cycle harvest will reflect those that will occur after second-growth harvesting.
The landslide density values developed by this approach are considered an index of landslide hazard. They provide an objective way to rank landslide hazards. The landslide density values represent mean values for different categories of terrain. The landslide rate that occurs within a specific map unit can vary from the mean value reported for that category of terrain.