基于云模型和D-S证据理论的多源信息融合滑坡安全性评价

基于多源信息融合理论,结合安全监测数据及滑坡变形破坏特征,构建完善的滑坡安全性评价体系,应用云模型生成各评价指标隶属度,采用引入权重系数的改进D-S证据理论进行数据融合分析,建立一种基于云模型和改进D-S证据理论的滑坡安全性多指标综合评价模型,以实现对滑坡安全性的综合评判。以雅砻江卡拉水电站周家滑坡安全评价分析为实例进行研究,按最大隶属度原则判定周家滑坡的安全状态,分析表明其整体处于基本稳定状态,B1区处于不稳定状态,与实际基本相符。

Landslide safety evaluation by multi-source information fusion based on cloud model and D-S evidence theory

In this paper, a landslide safety evaluation model is established based on the cloud model and the improved D-S evidence theory. With the basis of multi-source information fusion theory, combined with the safety monitoring data and landslide deformation and damage characteristics, a perfect landslide safety evaluation system is constructed, the cloud model is applied to generate the affiliation degree of each evaluation index, and the improved D-S evidence theory with the introduction of weight coefficients is used for the data fusion analysis to realize a comprehensive evaluation of landslide safety. The safety evaluation analysis of Zhoujia landslide in the Yalong River Kala Hydropower Station is studied as an example, and the safety status of the Zhoujia landslide is determined according to the principle of maximum affiliation. The results show that the whole area is in a basically stable state, while area B1 is in a unstable state, which is basically consistent with the actual status.