17.34. Predicting landslides
Module contributed by Paolo Cavallini - Faunalia
Muista
This chapter shows how to create an oversimplified model to predict the probability of landslides.
First, we calculate slope (choose among various backends; the interested reader can calculate the difference between the outputs):
Then we create a model of predicted rainfall, based on the interpolation of rainfall values at meteo stations:
(resolution: 500 m)
The probability of a landslide will be very roughly related to both rainfall
and slope (of course a real model will use more layers, and appropriate parameters),
let’s say (rainfall * slope )/100:
rain, slope:
(a*b)/100(or: )then let’s calculate what are the municipalities with the greatest predicted risk of rainfall: (the parameters of interest are Maximum and Mean)