摘要:Debris flow is an explosive and catastrophic disaster. Predictive research on debris flow is necessary. In order to solve exchange of qualitative and quantitative problems in the process of debris flow susceptibility assessment, this study established a model based on cloud model and a combination method. entropy method, an objective weighting method, was combined with a subjective weighting method, optimal sequence diagram method, using preference coefficient to generate a new weighting approach to prevent disadvantages using subjective or objective method alone. 10 investigated debris flow gullies around Wudongde hydropower station reservoir were used as a case. Ten influencing factors were selected based on previous studies and field investigation. Extension theory method was used as a validation. Results showed that all the 10 gullies were classified into correct susceptibility degree. Compare results using cloud model with validation results using extension theory method and consider the field investigation, the proposed approach was verified to be superior to extension theory method. Thus, cloud model was reasonable and accurate for evaluating the degrees of debris flow susceptibility.