Abstract:

n view of old landslides, four kinds of indices including nine secondary factors, i.e. landform characters, slip surface characters, landslide body structures and recent activities signs, were chosen as the discrimination indices for potential landslides. According to discriminant analysis theories, distance discriminant analysis(DDA) models and Fisher liner discriminant analysis(FLDA) models were respectively built for potential landslides in the Three Gorges Reservoir and the upper Minjiang River areas based on the same number of training samples. The results show the error rates of DDA method were both 0% for testing and training samples, while the error rates of FLDA method were respectively 11.1% and 0% for testing samples and 5.56% and 11.11% for training sample in the two study areas. So, DDA method has much higher prediction accuracy than that of FLDA method for discrimination of potential landslides in the two study areas.

Key words: distance discriminant analysis, Fisher liner discrimination method, potential landslides, discrimination index, discrimination model