汤加火山运动引起的井水位动态特征提取  

Characterization of well water level dynamics due to volcanic movements in Tonga

作　　者：马传璧 丁俊柯 赵建明[2] MA Chuan-bi;DING Jun-ke;ZHAO Jian-ming(North China University of Science and Technology,Tangshan,Hebei 063210,China;Tangshan Central Station,Hebei Provincial Seismological Bureau,Tangshan 063000,Hebei,China)

机构地区：[1]华北理工大学,河北唐山063210 [2]河北省地震局唐山地震监测中心站,河北唐山063000

出　　处：《地下水》2024年第4期57-60,共4页Ground water

基　　金：中国地震局三结合课题(CEA-JC/3JH-170406);河北省地震科技星火计划项目(DZ2024112300002)。

摘　　要：为了对2022年1月15日汤加火山爆发引起的井水位变化特征进行识别、提取,以河北唐山地区4口观测井为研究对象,使用EEMD方法分别处理井水位和气压观测数据,将观测数据表征的信号从频率由高到低分为多个IMF分量。通过高频分量描述井水位和气压高频事件的变化特征,结合Hilbert谱分析得到两者高频事件能量波动所在频段范围一致,发生时间相近,进一步对其进行相干性分析。结果表明汤加火山地震爆发后,井水位出现了两次变化,水位波形变化趋势与气压波形同步反向变化,相干性结果表明井水位与气压显著相关,林西矿井对气压剧烈变化响应更为灵敏。在此基础上,分析EEMD方法对短时间序列井水位处理的效能,探索Hilbert谱识别井水位干扰信号的能力。In order to identify and extract the characteristics of well water level changes caused by the Tonga volcanic eruption on 15 January 2022,four observation wells in the Tangshan area of Hebei Province were used as the study object,and the well water level and barometric pressure observation data were processed separately using the EEMD method,and the signals characterized by the observation data were classified into a number of IMF components from high to low frequency.Through the high-frequency components to describe the change characteristics of well water level and air pressure high-frequency events,combined with the Hilbert spectral analysis to obtain the two high-frequency event energy fluctuations in the frequency band range is the same,the occurrence of the time is similar,and further coherence analysis.The results show that after the Tonga volcano earthquake erupted,there were two changes in the well water level,and the trend of the water level waveform changed synchronously and inversely with the barometric pressure waveform,and the results of the coherence indicate that the well water level is significantly correlated with the barometric pressure,and that the Lindsay mine is more responsive to the drastic changes in the barometric pressure.On this basis,the efficacy of the EEMD method for short time series well water level processing is analyzed and the ability of the Hilbert spectrum to identify disturbing signals in well water levels is explored.

关 键 词：汤加火山地震 EEMD Hilbert谱分析 井水位和气压 

分 类 号：P641.74[天文地球—地质矿产勘探]