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作 者:丁俊柯 马传璧 张万辉 赵建明[2] 王震坤 DING Jun-ke;MA Chuan-bi;ZHANG Wan-hui;ZHAO Jian-ming;WANG Zhen-kun(North China University of Science and Technology,Tangshan,Hebei 063210,China;Tangshan Central Station,Hebei Seismological Bureau,Tangshan 063000,Hebei,China;China Building Materials Industry Geological Exploration Centre,Henan Headquarters,Xinyang,Henan 464000)
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 [3]中国建筑材料工业地质勘查中心河南总队,河南信阳464000
出 处:《地下水》2024年第4期63-65,共3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:以唐山井为研究对象,通过集合经验模态分解方法(Ensemble Empirical Mode Decomposition,EEMD)对井水位观测数据进行分解,提取井水位中固体潮引起的井水位变化特征,对重构信号和固体潮理论值进行一元线性回归分析。结果表明,井水位经过EEMD分解后,各高频分量均包含一部分固体潮信息,可通过部分信号分量重构研究相应因素引起的井水位变化特征,提取被其他因素掩盖的信息。在选定时间范围内,井水位对固体潮响应的时间滞后不明显,唐山井水位春季受其它因素的影响较大,夏季对固体潮的响应较好。EEMD方法可较好提取井水位中固体潮变化特征,对分解结果进行重构时需要根据数据实际情况进行选择。Taking Tangshan well as the research object,the well water level observation data were decomposed by the Ensemble Empirical Mode Decomposition(EEMD) method to extract the characteristics of well water level changes caused by solid tides in the well water level,and the reconstructed signals and the theoretical values of solid tides were analyzed by one-way linear regression.The results show that,after the well water level is decomposed by EEMD,each high-frequency component contains part of the solid tide information,and the characteristics of the well water level changes caused by the corresponding factors can be investigated by reconstructing part of the signal components,and the information masked by other factors can be extracted.The time lag in the response of well levels to solid tides was not significant over the selected time range,with Tangshan well levels being more influenced by other factors in the spring and responding better to solid tides in the summer.The EEMD method can better extract the characteristics of solid tide changes in well water levels,and the reconstruction of the decomposition results needs to be selected according to the actual situation of the data.
分 类 号:P641.74[天文地球—地质矿产勘探]
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