防灾减灾学报
防災減災學報
방재감재학보
JOURNAL OF DISASTER PREVENTION AND REDUCTION
2013年
1期
59-63
,共5页
刘俊清%张宇%郑传芳%张晨侠%丁广
劉俊清%張宇%鄭傳芳%張晨俠%丁廣
류준청%장우%정전방%장신협%정엄
时间序列%噪声模型%最大似然估计%幂律噪声
時間序列%譟聲模型%最大似然估計%冪律譟聲
시간서렬%조성모형%최대사연고계%멱률조성
time series%noise model%MLE%power law noise
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。
地震的孕育時間長達幾十年甚至幾百年,前兆觀測往往穫得相噹長時間的觀測數據,時間序列中包含大量的隨機信號,也就是譟聲。本文應用譟聲分析軟件CATS,引入經典的譟聲統計模型,運用最大似然估計法分析吉林省地震前兆地下水觀測時間序列的譟聲特性,結果錶明地下水觀測譟聲可用閃爍譟聲加白譟聲聯閤模型來描述。
지진적잉육시간장체궤십년심지궤백년,전조관측왕왕획득상당장시간적관측수거,시간서렬중포함대량적수궤신호,야취시조성。본문응용조성분석연건CATS,인입경전적조성통계모형,운용최대사연고계법분석길림성지진전조지하수관측시간서렬적조성특성,결과표명지하수관측조성가용섬삭조성가백조성연합모형래묘술。
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.