小波分析方法在静水位资料对黑龙江省桦南M4.7级地震震前反映分析

摘要

利用小波分析和多尺度分析原理，结合通河、延寿、鹤岗静水位资料进行分析，对黑龙江省桦南县M4.7级震例资料，探讨该方法对于提取静水位数据水位资料中水位整点值序列的不同周期成分进行了有效分离，小波分析分解结果能够更直观和显著地反映地震活动的震前异常信息的有效性，表明小波分析在处理和分析水位资料方面是一种有效的方法。%Using wavelet analysis and multi-scale analysis theory, combined with Tonghe, Yanshou and Hegang of static water level data is analyzed, Huanan county of Heilongjiang province level M4.7 earthquakes example data, discusses the method for extracting the static water level data of water level data of water level integral point value sequence of different cycle for effective separation, wavelet decomposition results can more intuitive and significantly reflect the effectiveness of seismic activity before the earthquake anomaly information, and shows that the wavelet analysis in the processing and analysis of water level data is an effective method.