基于CF-PCCs模型的维西县滑坡致灾因子敏感性分析

为了深入了解滑坡的成灾背景，减少灾害造成的生命财产损失，以云南省维西县为研究区，选取了高程、坡度、坡向、降水量、距河流距离、工程地质岩组、距断层距离、植被归一化指数（Normalized Difference Vegetation Index,NDVI）和道路密度9项致灾因子，利用确定性系数（Certainty Factor,CF）-皮尔逊积矩相关系数（Pearson Product-moment Correlation Coefficient,PCCs）模型对致灾因子进行敏感性分析，并对分析结果的准确性进行了验证.结果表明：(1)因子敏感性由高到低分别为坡向、河流、高程、降水量、断层、道路、坡度、工程地质岩组和NDVI；(2)敏感性最大的因子类别包括：高程为1 486～2 600 m，坡度为0°～20°，坡向为半阳坡，降水量为782～1 178 mm，距河流距离为0～300 m，工程地质岩组为极软岩，距断层距离为2 400～3 200 m,NDVI为-0.169～0.039，道路密度为80～117 km/km2；(3)CF-PCCs模型精度高，数据分析结果可靠，该方法可为滑坡敏感性分...

Susceptibility of landslide disaster-causing factors based on CF-PCCs model in Weixi County,Yunnan Province,China

In order to deeply understand the background of landslides and reduce the loss of life and property caused by landslide hazards, the research took Weixi County as a case study, and nine disaster-causing factors were selected, including elevations, slopes, aspects, rainfalls, distances from rivers, engineering geological petrofabric, distances from faults, NDVI and road densities. Then, the model of CF-PCCs was selected to analyze the susceptibility of disaster-causing factors, and the accuracy of the analysis results was verified. The results showed that: ① Factor susceptibilities ranged from high to low as follows: aspects, rivers, elevations, rainfalls, faults, roads, slopes, engineering geological petrofabric, and NDVI; ② The factor categories with the greatest susceptibility included: 1486?2600 m elevations, 0°?20° slopes, semi-sunny slope aspects, 782?1178 mm rainfalls, 0?300 m distances from rivers, extremely soft rock engineering geological petrofabric, 2400?3200 m distances from faults, ?0.169?0.039 NDVI, and 80?117 road densities; ③ The CF-PCCs model had high accuracy and the data analysis results were reliable, which could provide new ideas for the susceptibility analysis of landslide hazards.