【摘要】 地震的孕育时间长达几十年甚至几百年,前兆观测往往获得相当长时间的观测数据,时间序列中包含大量的随机信号,也就是噪声。本文应用噪声分析软件CATS,引入经典的噪声统计模型,运用最大似然估计法分析吉林省地震前兆地下水观测时间序列的噪声特性,结果表明地下水观测噪声可用闪烁噪声加白噪声联合模型来描述。更多还原

【Abstract】 The earthquake preparation lasts for decades or even centuries.So earthquake precursory observation often get long time observation data.The observed time series contains a large number of random signal,namely noise.In this paper,based on the application of noise analysis software CATS,the classical statistical noise model and the maximum likelihood estimation,the noise characteristics of the groundwater observation time series of the seismic precursor in Jilin province are analyzed.The results show that the groundwater observation noise can be described by the combined noise model with flicker noise and white noise.更多还原