论文部分内容阅读
以三峡库区某典型滑坡案例为研究对象,介绍了滑坡的地形地貌特征、结构特征及水文特征,对监测点的原始监测数据用均匀滤波法进行光滑处理,以满足预测模型的需要,之后对监测点的原始监测数据采用线性插值法进行等距化处理,以消除随机因素对监测数据的干扰,然后对处理后的监测数据利用目前较常用的两个滑坡预测模型———灰色GM(1,1)模型、曲线回归分析模型进行预测分析,预测出未来一段时间内监测点的变形趋势,以点带面,从而得到整个滑坡的未来变形情况。最后从滑坡的变形速率和宏观地质巡查两个方面综合判定滑坡的变形为整体变形,且有加速趋势。根据变形及地质特征判断从2009年7月开始此滑坡进入整体滑移阶段。
Taking a case of a typical landslide in the Three Gorges Reservoir area as the research object, the topography features, structural features and hydrological features of the landslide are introduced. The original monitoring data of the monitoring points are smoothed by the uniform filtering method to meet the needs of the prediction model. The original monitoring data of the monitoring points are equidistantly processed by linear interpolation to eliminate the interference of random factors to the monitoring data. Then, the two commonly used landslide prediction models --- gray GM (1 1) The model and curve regression analysis model is used to predict and analyze the deformation trend of the monitoring points in a period of time to predict the future deformation of the whole landslide. Finally, from the deformation rate of the landslide and the macro-geological inspection, the deformation of the landslide is determined as the overall deformation and accelerates. Judging from the deformation and geological characteristics from the beginning of July 2009 this landslide into the overall slip phase.