引用本文: 陆付民, 王尚庆, 李劲, 严学清. 顾及地下水位因子的卡尔曼滤波模型在滑坡变形预测中的应用[J]. 武汉大学学报 ( 信息科学版), 2010, 35(10): 1184-1187.
LU Fumin, WANG Shangqing, LI Jin, YAN Xueqing. Application of Kalman Filter Model Considering Groundwater Level Factors to Landslide Deformation Forecast[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1184-1187.
 Citation: LU Fumin, WANG Shangqing, LI Jin, YAN Xueqing. Application of Kalman Filter Model Considering Groundwater Level Factors to Landslide Deformation Forecast[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1184-1187.

Application of Kalman Filter Model Considering Groundwater Level Factors to Landslide Deformation Forecast

• 摘要: 介绍了白水河滑坡的地质环境和监测系统。将滑坡变形看作是时间和地下水位的函数,使用泰勒级数建立滑坡变形与时间和地下水位的函数关系,并将泰勒级数的余项及时间变化的二次方和地下水位变化的二次方的系数的变化量等看作数学期望为0的动态噪声,建立了卡尔曼滤波模型,并用于滑坡变形的预测预报。实例计算表明,模型的拟合效果和预测效果较好。

Abstract: The geologic environment and monitoring system of Baishuihe landslide are introduced.The deformation of the landslide is regarded as the function of the time and the groundwater level,and Taylor series is used to erect the functional relationship of the deformation to the time and the groundwater level,the remainder term of Taylor series and the variation of coefficients of second power of the variation of the time and second power of the variation of the groundwater level are regarded as dynamic noises whose mathematical expectation are 0 to erect Kalman filter model and predict the deformation of the landslide.An example of calculation shows that the fitted effect and the forecast effect of the model are better.

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