Evaluation of Landslide Hazard Degree Based on the Normal Cloud Model

The evaluation of landslide hazard degree is a complicated conversion problem between qualitative and quantitative because the influence factors are uncertainty, randomness and fuzziness. The Xulong reservoir area located at the upper reaches of the Jinsha River is selected as a case. The nine impact factors are chosen from the geological conditions, landslide characteristics and hazard inducing factors aspects and the evaluation system is established according to the selected factors. Furthermore, weight coefficient of each factor is determined by the analytic hierarchy process. The normal cloud model is used to calculate the cloud characteristics of each index in the classification standard of landslide hazard degree, which generates the normal cloud droplets. The method not only achieves the uncertainty mapping between landslide hazard grade and evaluation index, but also considers the randomness and fuzziness of index. The analysis results of the case show that the proposed method provides better accuracy and reliability and is convenient to be applied to the practical engineering.