首页|小波变换在甘肃天水痕量氢气浓度观测数据分析中的应用

小波变换在甘肃天水痕量氢气浓度观测数据分析中的应用

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利用db4小波变换分析原理,对甘肃天水毛集、马窑和原家庄3个测站2023年1月—2024年1月的痕量氢气观测数据进行分析,并将其中的中低频和高频信息进行有效分离.结果表明:小波变换方法对不同频率的信息识别功能较强,能够更直观和清楚地反映地震前兆异常现象.结合震例研究表明,小波分析是消除痕量氢气观测资料噪声、识别地震中短期异常的一种有效方法.
APPLICATION OF WAVELET TRANSFORM TO ANALYSIS OF TRACE HYDROGEN CONCENTRATION DATA IN TIANSHUI,GANSU PROVINCE
Based on the db4 wavelet transform analysis principle,the trace hydrogen observation data from Maoji,Mayao and Yuanjiazhuang stations in Tianshui,Gansu Province from January 2023 to January 2024 were analyzed,and the low frequency and high frequency information in the data were effectively separated.The results show that the wavelet transform method has a strong function to identify the information of different frequencies,and can reflect the abnormal phenomena of earthquake precursors more directly and clearly.The study of seismic examples shows that wavelet analysis is an effective method to eliminate the noise of trace hy-drogen observation data and identify the short and medium term earthquake anomalies.

Tianshui,GansuWavelet transformTrace hydrogenData analysis

赵洁、牛延平、周卫东、田野、王娟、张玉娇、李旭升、马可兴

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甘肃省地震局,甘肃兰州 730000

兰州地球物理国家野外科学观测研究站,甘肃兰州 730000

嘉峪关市房地产测绘队,甘肃嘉峪关 735100

甘肃天水 小波变换 痕量氢 数据分析

甘肃省地震局科技发展野外站基金

ZX2117004

2024

高原地震
青海省地震局 西藏自治区地震局

高原地震

影响因子:0.276
ISSN:1005-586X
年,卷(期):2024.36(2)
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