Wavelet Analysis Of The Evolution Of The Precursor Anomaly Identification In Applied Research, On The Slopes

Landslide is a disaster geological phenomena of the rock of the surface of the earth.,and multi-happened as well.There are a lot of slidelands in moutain region,hill and tableland area in southwes,northwest,middle south and north of China.China is one of the most serious influenced by slideland. According to primary statistics,the economy loss caused by slideland comes about RMB20 billion. With the building the Three Valley Project, the rising and falling of water level of reservoir may lead to a series of new geology disaster,problem of geology disaster being much serious. Therefore,the research of slideland forecast has important economy and society interest;And there will be important theory meaning of improving and developing disaster theory, promoting geology engineering, environment geology and rock mechanics.In this paper,wavelet as the implement, rock distortation as analysis data ,taking the analysis of the multi-decisions anomaly identification, and getting the result needed by the engineer. Through the theory data simulation ,analysing and testing the method of slide identification .Multi-dimensions analysis theory applied to distortation identification, taking advantage of multi-demensions arithmatics observe signal could take much more information,therefore decrease the non decision and complexity of problem.Analysing the principle of wavelet multi-demensions method,taking the method of wavelet decomposition and composition. From Lipschitz, through analyzing non noise and signal wavelet ,taking the principle of reduction noise,and analyzing the selecting principle of wavelet.At the end,taking advantage of above method to test analysis and take summary. From the result,wavelet reduction noise take the advantage,and taking advantage of wavelet multi-dimensions to find the anamoly AE.The result of this paper enrich the disaster theory to take the new theory and method.