淮南台电磁扰动数据变化特征及影响因素初探
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摘要
通过对淮南地震台2009～2011年电磁扰动观测数据的分析,得到如下结论:①电磁扰动三个通道均有明显的日变化规律:00:00～07:00观测数据在均值附近波动,无脉冲变化;07:00～22:00三个通道的变化幅度均出现明显增强,22:00～24:00又恢复平稳变化。通过与环境因素及淮北台电磁扰动的对比,认为环境噪声水平是影响电磁扰动日变的主要因素。②傅里叶分析结果显示电磁扰动子夜均值有明显的365、183、122 d周期,其中365 d年周期振幅最大。第一、二通道电磁扰动子夜均值冬季低,夏季高,第三通道与前两通道年变化相反。③温度对电磁绕输出信号影响的实验初步证实了温度改变时,电磁扰动三个通道的输出均有同步的响应,且理论计算与实际观测的变化幅度基本一致。因此,认为电磁扰动的年变主要是受气温的影响。
In this paper,we analyzed the observation data of electromagnetic disturbance at Huainan station in Anhui province from 2009~2011,and the results are summarized as follows.①All three channels of electromagnetic disturbance show a clear daily variation rules corresponding to the human activity: high at work hours(07:00～22:00),and low at night time(00:00～07:00).Compared the variation of electromagnetic disturbance with environmental factors(temperature,air pressure etal.) and the same time of Huaibei's electromagnetic disturbance,the results show that main factor influencing the daily variations is the environmental noises.② Midnight average values have clearly revealed periodicities of 365、183、122 days based on Fourier transform,and the power spectral of 365-day is the highest in all periods.Midnight average values of the first and second channels were having same changes: high in summer and low in winter,but the third channel change on the contrary.③ Through analysis on the measured data,it was found that the experimental results make it clear that all three channels data of electromagnetic disturbance change with responding to ambient temperature change.And the theory calculation of electromagnetic disturbance affected by temperature change is consistent with the observation.So,we inclined to believe that the annual variation of ambient temperature is the main factor influencing the annual variation of electromagnetic disturbance at Huainan station.
In this paper,we analyzed the observation data of electromagnetic disturbance at Huainan station in Anhui province from 2009~2011,and the results are summarized as follows.①All three channels of electromagnetic disturbance show a clear daily variation rules corresponding to the human activity: high at work hours(07:00～22:00),and low at night time(00:00～07:00).Compared the variation of electromagnetic disturbance with environmental factors(temperature,air pressure etal.) and the same time of Huaibei's electromagnetic disturbance,the results show that main factor influencing the daily variations is the environmental noises.② Midnight average values have clearly revealed periodicities of 365、183、122 days based on Fourier transform,and the power spectral of 365-day is the highest in all periods.Midnight average values of the first and second channels were having same changes: high in summer and low in winter,but the third channel change on the contrary.③ Through analysis on the measured data,it was found that the experimental results make it clear that all three channels data of electromagnetic disturbance change with responding to ambient temperature change.And the theory calculation of electromagnetic disturbance affected by temperature change is consistent with the observation.So,we inclined to believe that the annual variation of ambient temperature is the main factor influencing the annual variation of electromagnetic disturbance at Huainan station.
引文
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[2]郭自强,刘斌.岩石破裂电磁辐射的频率特性[J].地球物理学报,1995,38(2):221-225.
[3]王立风,王继军,陈小斌,等.岩石破裂电磁辐射(EMR)现象实验研究[J].地球物理学进展,2007,(3):715～719.
[4]Hattori K,Serita A,Gotoh K.U LF geomagnetic anomaly associated with 2000 Izu Islands earthquakeswarm[J].Japan.Physics and Chemistry 0r the Earth,2004,29(49):425～435.
[5]陈化然,杨冬梅,李琪,朱荣,蒋淳,王建国.1980年以来我国电磁辐射地震前兆信息的观测与研究[J].中国地震,2008,24(2):18O～187.
[6]丁跃军.汶川地震与电磁扰动现象[J].国际地震动态,2009,(7):8-18.
[7]关华平、陈智勇、余索荣.首都圈及其邻近地区电磁辐射映震效果研究[J].地震,2000,20(1),65～70。
[8]阎计明、赵琨、王春和.DJY-2000B型地震电磁脉冲观测系统[J].山西地震,2006,(1),38-40.
[9]李美,卢军.地震电磁辐射前兆异常特征和异常指标关系研究[J].地震,2008,28(4):112-120.
[10]李宏年.电磁辐射在地震短临预报中的研究[J].内江科技,2009,(11):24-25.
[11]张建国,刘晓灿,姚丽,马新欣,袁亚红,尹小兵.汶川8.0级大地震前电磁扰动异常变化特征初步研究[J].地震地磁观测与研究,2010,31(5):56-60.
[12]关华平,陈智勇.地震与电磁辐射关系的定量分析[J].地震,1996,6(2),168～176.
[13]盛裴轩.大气物理学[M].北京:北京大学出版社,2008.
[14]郑江蓉,徐桂明,田建民.江苏前兆观测年变周期异常与中强地震研究[J].华南地震,2005,25(1):32-42.
[15]田山,郑文俊,关华平,等.地电阻率年变化与气象因素及水位的关系[J].地震,2000,20(4):45-49.
[16]邹思成,王钢.温度等因素对CCD数据采集电路性能影响的研究[J].天文研究与技术,2006,3(3):275-282.
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