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Detection of earthquake induced radon precursors by Hilbert Huang Transform

机译:希尔伯特·黄(Hilbert Huang)变换检测地震诱发的don前体

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摘要

Continuous measurement of radon-222 concentration in soil was carried out across duration of one year at a geologically faulted area having high regional heat flow to detect anomalies caused by seismic activities. The data reveals a range of periodicities present in the radon time series. To identify seismic induced radon changes we treat the time series data through various filtering methods to remove inherent periodicities. The Ensemble Empirical Mode Decomposition (EEMD) is deployed to decompose the signal into its characteristic modes. Hilbert Huang Transform (HHT) is applied for the first time on the physically significant modes obtained by EEMD to represent time-energy-frequency of the recorded soil radon time series. After removing the periodic and quasi-periodic constituents from the original time series, the simulated result shows a forceful correlation in recorded radon-222 anomalies with regional and local seismic events. (C) 2016 Elsevier B.V. All rights reserved.
机译:在具有高区域热流的地质断裂地区,在一年的时间内连续测量土壤中ra 222的浓度,以检测地震活动引起的异常。数据揭示了don时间序列中存在的一系列周期性。为了识别地震引起的ra变化,我们通过各种滤波方法处理时间序列数据,以消除固有的周期性。集成经验模式分解(EEMD)用于将信号分解为其特征模式。希尔伯特·黄(Hilbert Huang)变换(HHT)首次应用于EEMD获得的物理有效模式,以代表记录的土壤ra时间序列的时间-能量-频率。从原始时间序列中删除了周期性和准周期性的成分后,模拟结果显示出已记录的ra222异常与区域和局部地震事件之间的强相关性。 (C)2016 Elsevier B.V.保留所有权利。

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