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

基金项目: 湖北省自然科学基金资助项目(2008CDB047)；国家科学技术部三峡库区滑坡监测数据资源平台建设资助项目(2005DKA10600)；武汉大学精密工程与工业测量国家测绘局重点实验室开放研究基金资助项目(PF2009-8)

详细信息

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

¹Key Laboratory of Geological Hazards on Three Gorges Reservoir Area of Education Ministry,China Three Gorges University,Yichang 443002,China

Funds: 湖北省自然科学基金资助项目(2008CDB047)；国家科学技术部三峡库区滑坡监测数据资源平台建设资助项目(2005DKA10600)；武汉大学精密工程与工业测量国家测绘局重点实验室开放研究基金资助项目(PF2009-8)

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。
- 监测 /
- 地下水位 /
- 动态噪声 /
- 卡尔曼滤波 /
- 预测模型
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.
- monitor /
- groundwater level /
- dynamic noise /
- Kalman filter /
- forecast model