Rainfall-induced Landslide Deformation Monitoring And Early Warning Based On GPS

The landslide slope deformation due to a variety of factors coupled, certainpredisposing factors (such as heavy rainfall) eventually lead to instability of the slidinga geological phenomenon. Due to rainfall caused landslides called rainfalllandslide.Rainfall landslide research has been one of the difficult problems of researchin the field of natural disasters disasters. China is the world’s one of the countries mostseverely affected by landslide disasters.This thesis is special for Meteorological-scientific research in the public Interest"heavy rainfall-induced landslides, mudslides weather forecast alert technology "projectaims to build precipitation induced by the simultaneous observation of precipitation,landslide deformation mechanism of landslide hazard model.The research worked on the basis of the results of previous studies, used GPStechnology on Yunyang Wangjiawan and Zhongxian landslide monitoring，collected partof the landslide and rainfall data, applied Regression Analysis and Kalman filteringtheory on rainfall landslide characteristics, rainfall landslide displacement and rainfall,rainfall landslide early warning depth and systematic research.Studies are as follows:(1) Use GPS to monitor the Yunyang Wangjiawan and Zhongxian landslide;(2) Use a regression analysis to study the relationship between rainfall anddisplacement;(3) Use multiple linear regression analysis of the relationship between rainfall,timeand landslide displacement;(4) Derive the multi-factor Kalman filter theory model.Put forward multi-factorKalman filter modeling method;(5)Multi-factor Kalman filter theory is applied to the landslide deformationmonitoring and analysis,established amount of sliding-rainfall-pore water pressure-time factor among the statistical model and achieved satisfactory results;(6) Landslide early warning and reflection;According to landslide monitoring instance, based on statistical analysis,we studiedthe landslide displacement process with rainfall process, the process model of the Porewater pressure,put forward Multi-factor Kalman filter model and multi-factor Kalmanfilter modeling method and applied to the analysis of the actual landslide monitoring,early warning, and achieved satisfactory results.