【摘要】 由于自然界中土体参数空间分布具有差异性，在滑坡稳定性分析中，传统方法对同一层岩土体赋值统一参数，忽视了空间变异性的计算结果难免会存在较大的误差。为此，研究考虑土体参数空间水平变异性，基于地质统计学中的区域化变量理论，以云南省柳树塘滑坡为工程背景，选取克里金插值法、反距离加权插值法和径向基函数插值法，通过插值黏土层和粉质黏土层中黏聚力c、内摩擦角φ值等参数，分别获取该层土体未知点处参数值，结合数值模型分析传统方法和插值法赋值参数的滑坡变形情况。研究结果表明：滑坡变形分析中考虑参数空间水平变异性明显优于传统方法；对于土体强度参数黏聚力c、内摩擦角φ值的空间水平向变异性，反距离加权插值法较径向基函数插值法和克里金插值法好。更多还原

【Abstract】 Due to the variability in the spatial distribution of soil parameters in nature, traditional methods in landslide stability analysis assign uniform parameters to the same layer of soil and rock, neglecting spatial horizontal variability, which inevitably leads to significant errors in calculation results. Thus this paper considers the spatial horizontal variability of soil parameters and, based on the theory of regionalized variables in geostatistics, selects the Liushutang landslide in Yunnan Province as the engineering background. It employs Kriging interpolation, inverse distance weighted interpolation, and radial basis function interpolation to interpolate parameters such as cohesion(c) and internal friction angle （φ） in clay and silty clay layers, thereby obtaining parameter values at unknown points within these layers. These values are then used in combination with numerical models to analyze the landslide deformation when parameters are assigned using both traditional methods and interpolation methods. The research results indicate that considering the spatial horizontal variability of parameters in landslide deformation analysis is significantly superior to traditional methods. For the horizontal spatial variability of soil strength parameters, such as cohesion(c) and internal friction angle （φ）, the inverse distance weighted interpolation method performs better than radial basis function interpolation and Kriging interpolation.更多还原