【摘要】 利用小波分析方法在时间域和频率域都有较高分辨率的特性,建立了水位、水氡的小波中期异常提取的方法.该体系包括研究(预测)目标地震的确定、井(泉)和测项的初选、小波异常的提取及异常性质的鉴定等7个步骤.采用小波异常提取方法,研究了华北、四川及邻区、海南多年积累的震例资料,分析了水位、水氡小波异常与地震活动之间的关系,给出了上述3个地区中期小波异常的时间分布特征.小波异常的超前时间,可作为发震时间的预测指标,为这3个区域的实际震情判定提供依据.更多还原

【Abstract】 Noticing that the wavelet analysis possesses a characteristic of high resolution in time and frequency domain,this paper develops a method of extracting wavelet medium-term anomaly from water radon and water level observation.The extraction process includes,through research,deciding the objective earthquake expected to be predicted,selecting testing items and observation wells,extracting wavelet anomaly,identifying the property of the precursor anomaly,etc.(seven steps).With the methodology of extraction of wavelet anomaly,we have studied large amount of earthquake materials in North China,Sichuan and its vicinity,and Hainan.After analyzing the relation between the earthquakes and the anomaly of water level and radon,we provided the characteristic time distribution of wavelet anomalies in these three regions.Moreover,the advanced time of the wavelet anomaly can be regarded as an indicator for forecasting an earthquake.This indicator would be helpful in analyzing earthquake situation in practice.更多还原