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本文分析了2010年10月-2011年3月云南通海ELF地震台站观测的电磁场资料,研究发现该资料变化与2011年发生在中国大陆"3·10"盈江5.8级及"3·24"缅甸7.2级地震存在以下关系,(1)470~1 Hz的磁场自功率密度谱(PSD)在2011年盈江5.8和缅甸7.2级地震前出现了脉冲丛集异常,异常幅度分别比正常月份变化约1~3个数量级.异常的幅度与观测点的电极方位和信号的频率有密切的关系.(2)2011年3月10日盈江地震的异常变化是先从地壳的深部向浅部发展,在震前25天2.6 km处的电阻率开始发生变化,震前10天400 m处的电阻率变化,出现了勺形的变化形态,阻抗相位同步变化.3月24日的缅甸7.2级地震,震前10天深部、浅部的电阻率同步发生了大幅度变化,阻抗相位发生转折,这可能是强震的变化特性. 相似文献
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本文利用DEMETER卫星观测到的电磁场数据, 统计分析了2005—2009年全球MS≥7.0强震前后空间电磁场的时空演化特征. 在震中上空±10°范围内, 使用震前90天至震后30天的5年同期观测到的电磁场极低频/甚低频(370—897 Hz)功率谱密度数据构建了稳定的背景场观测模型, 提取了震中上空的空间电磁场相对于背景场的扰度幅度, 并统计分析了强震前后空间电磁场的时空演化特征. 统计结果显示: 45次MS≥7.0强震中, 35次强震在地震发生前后磁场最大扰动幅度超过2.2倍标准差, 39次强震的电场最大扰动幅度超过2倍标准差; 最大的电磁扰动主要出现在震中±4°—±10°范围内. 另外, 震中上空的电磁场扰动幅度时序变化表现为3种不同类型的扰动特征, 且震前出现电磁异常的强震震中位置的分布特征与纬度存在一定关系; 而随机选择的非震区上空空间电磁场的扰动幅度则比较小, 未呈现出明显的特征. 相似文献
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ApossibleULFseismicelectro-magneticemissionXing-CaiLI;(李兴才)Hui-XinCAO;(曹惠馨)Tie-HongYU;(俞铁宏)andZhi-YongCHEN;(@2陈智勇)(Instituteo... 相似文献
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山西中强地震前波速比异常研究 总被引:1,自引:0,他引:1
本文分析了大同-阳高6.1级(1989),5.8级(1991),忻州5.、1级(1991),侯马5.1级(1989)以及太原,运城1989-1991年几个4.0级左右地震前后的202次小震资料。结果表明:这些主震前都存在明显的地震波速异常变化,纵横波速比Vp/Vs表面为下降-回升的异常形态,负异常持续时间与震级大小相关;主震在岁异常结束后发生,滞后时间随区域地震震源深度增大而延长。同时,主震前还存 相似文献
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本文提供了1984年5月21日前后,南黄海M6.2及M6.1双主震及其前震、余震、邻震系列的“震源超极低频(0.3-3Hz)电磁辐射前兆”系列记录图(共11次地震的前兆),并着重指出前兆记录中与地震三要素的预报直接相关的各种信息参数及其规律。 相似文献
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Ultra low frequency electromagnetic wave anomaly and its spectrum characteristics before earthquakes 总被引:1,自引:0,他引:1
Jian-Guo Hao Yun-Fu Zhang Huai-Wen Pan De-Rui Li Tian-Ming Tang Xiao-Qin Liu 《地震学报(英文版)》1995,8(1):101-109
Many observations and researches show that abundant and intense ultra low frequency (ULF) electromagnetic anomalies appeare
before local earthquakes. In order to understand this phenomenon systematically, the transmission property and the formation
of the seismic-electric dipole are discussed in this paper. The results show that the vertical component of the ULF electric
anomaly before earthquake has the properties of better penetration, less disturbance and high signal-to-noise ratio. The signal
can be easily extracted and received. The anomaly should be an important way to seek for reliable short-term and imminent
earthquake precursors. After the spectrum analysis of the (ULF) electric field anomalies, we found that the periods of the
anomaly related to local earthquakes are from a few minutes to a dozens minutes. There is a relation between the spectrum
of the anomaly and the epicentral distance. The ULF electric field anomalies strongly rely on the orientation of the seismogenic
zone. The percolation electric field anomaly and its spectrum amplitude do not have obvious relation with the size of local
earthquakes.
Contribution No. 94A0097, Institute of Geophysics, SSB, China.
The English version is improved by Prof. Guo-Hua FAN, Institute of Geophysics, State Seismological Bureau. 相似文献
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PRINCIPAL COMPONENT ANALYSIS AND LOCAL CORRELA-TION TRACKING AS TOOLS FOR REVEALING AND ANALYZING SEISMO-ELECTROMAGNETIC SIGNAL OF EARTHQAUKE 下载免费PDF全文
This study provides new seismo-electromagnetic data processing methods to extract the anomalous signals by combining the principal component analysis(PCA)and local correlation tracking(LCT)methods. The PCA method can separate signals of different frequencies by projecting them to different axes according to their energy. So it can solve the problems of identifying the relatively weak signals in strong interference background to a certain extent. The LCT method is more suitable for non-stationary signal processing compared with classical cross-correlation method. This method is based on the good spatial correlation between the magnetic field components of different ELF stations to pick up the correlation coefficient, so as to achieve the purpose of weak anomalies signals identification. As a case study of the M4.6 Jinggu earthquake in Yunnan, China, we investigated the electromagnetic data observed by ELF stations near the epicenter. First, we applied the PCA method to the magnetic-filed data and got the temporal variation of percentage of each principal component. The results indicate that the contribution of the second principal components, which may relate with the earthquake, increased significantly about a week before the earthquake. Then, we applied the LCT method to the magnetic-filed data processing as well, and the results of both north-south and east-west magnetic field components showed that local correlation coefficient saw anomalies about a week before the earthquake, which had a good corresponding relationship with the former results by PCA method. Both means for the same earthquake case got a consistent conclusion, which not only enhanced the reliability of the results, but also confirmed the effectiveness of two methods applied in the earthquake-related electromagnetic anomalies extraction. We also discussed the possible relationship between these anomalies and the earthquake. Although there are no direct evidence and supporting theories in terms of the relationship between abnormal electromagnetic signals and earthquakes at present, the studies in this paper may strengthen the understanding of seismoelectromagnetic phenomena and promote further research. 相似文献
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地震前的电磁扰动现象曾被多次观测到, 但需进一步研究。 在中国地震局的支持下, 可以监测电磁扰动数据的多分量地震监测系统AETA在中国境内已经布设了200余套。 2017年8月8日, 四川省九寨沟县发生7级地震。 震中周边500 km范围内当时已经布设22套AETA设备。 基于滑动四分位距法(时间窗为27 d)分析了这些台站震前30 d的数据。 11个台站出现了异常, 其中震中周边200 km内的6个台站有4个发生异常。 同时, 正异常明显多于负异常。 另外, 大部分异常发生在夜间(20时~6时)。 相似文献
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本文基于自然正交函数展开方法, 以地震应变为变量, 计算1980年以来中国大陆7级以上大震前的地震应变, 提取出大震前区域地震活动应变场的时空异常。 结果表明大震前时间因子在平稳背景上会出现突跳上升或突跳下降异常变化。 一般情况下, 前4个应变场中至少有3个出现异常变化, 异常分布具有多分量特点, 出现的最早时间大约在震前3年, 少数出现在震前1~6个月。 对比应变场时间因子异常与研究区域每个网格单元(0.5°×0.5°)内的地震能量时间因子异常形态的相似性、 时间的一致性, 找出地震应变场空间异常位置。 结果表明, 多数大震前的空间异常分布在主震震中周围; 少数大震的空间异常远离主震震中。 产生这种现象的原因是大震前与主震不同距离的单元网格内发生中短期或者临震的震群、 显著地震等地震活动性异常。 相似文献
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In order to add earthquake monitoring methods and develop new method research, the ELF Network for Earthquake Monitoring selected 30 stations in the Capital Circle and the Sichuan-Yunnan region. Finding electromagnetic field background variation is the basis of distinguishing the seismic electromagnetic anomalies. This paper introduces the data acquisition and selection of the Shexian, Anqiu, Lijiang and Dali stations which have recorded for longer time with better data and are located on the similar latitude. Then we use the natural source electromagnetic field''s auto-power spectrum to express the intensity of the electromagnetic field. By using power spectral data of many frequencies in the observation frequency band, after the data pre-processing and sliding average noising, the background variation of extremely low frequency stations and the range ability were acquired. Taking the Baoshan M5.1 earthquake on October 30, 2015 and Dali M5.0 earthquake on May 18, 2016 as examples, the authors analyzed the earthquake electromagnetic anomaly characteristic of ELF stations around the earthquakes. 相似文献
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Electromagneticradiationanomaliesbeforemoderateandstrongearthquakes关华平,刘桂萍Hua-PingGUANandGui-PingLIU(CenterforAnalysisandPred... 相似文献
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2001年11月14日的昆仑山Ms8.1级地震前几天,中国地震台网多个台站都观测到了持续数天的低频震颤波信号.由于这些震颤波发生在强震前,所以备受关注.多年来研究人员对该震颤波的产生原因进行过多方探讨,但没有定论.该震颤波信号是否源自强震区的慢地震?是否是地震前兆?或为其它因素?为了回答这些问题,我们从多方面分析和研究了昆仑山强震前中国大陆宽频地震仪所观测的震颤波信号的特征、持续时间、震颤波强度变化与大规模大气运动的关系、信号强度随观测空间的衰减变化特征.结果表明:中国大陆宽频地震仪在昆仑山强震前观测到的震颤波由两个信号组成,其中11月10日开始出现,主要频率范围0.15~0.22 Hz (周期约4~7 s)、持续时间在10-13日的震颤波,主要由同时间段内发生在西太平洋的强台风玲玲(Ling Ling)引发;而11月11日开始出现,主要频率范围0.1~0.13 Hz (周期7~10 s)、持续时间在11-12日的震颤波,不是来自昆仑山强震区的慢地震,而是由来自欧洲北部及欧亚大陆的强温带气旋引发. 相似文献
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大同5.5级地震前的电磁前兆信号 总被引:6,自引:0,他引:6
1976年唐山地震皮后,上地震引起的电磁信号异常现象开始引起人们的极大关注,我国相继建立了200多个地震电磁波观测台,并且积累了许多震例资料。同时在国外也发表了一些相关的文章,但大多数文章仅涉及到震前一个台的异常信号或某个频段上的异常信号。 相似文献
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Ultra low frequeney electromagnetic wave anomaly and its spectrum characteristics before earthquakes
UltralowfrequeneyelectromagneticwaveanomalyanditsspectrumcharacteristicsbeforeearthquakesJian-GuoHAO;Yun-FuZHANG;Huai-WenPAN;... 相似文献
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电磁辐射"EMOLS"仪观测结果原理及震例 总被引:10,自引:0,他引:10
“九五”期间研制的“EMAOS”电磁辐射仪,其接收原理是按大地电磁测深的原理改进而研制的。选择接收频段为0.01~10Hz,该频段探测深度在0~20km,是浅源地震发生的层位。记录的电磁扰动是在应力场作用下,动电效应产生的电磁场。电场和磁场同时记录增强了信息可信度的判断能力,记录震例表明,异常规律与已有模拟结果基本相同。因此,已总结的模拟记录预报指标等可在数字记录结果中使用。 相似文献
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舒曼谐振是由闪电激发的电离层与地面之间的全球电磁震荡,在地球与电离层空腔中传播,由于共振作用,其电磁波能量明显高于其他频率电磁波能量.舒曼谐振具有稳定的频域参数和频谱结构,近几年的研究发现,地震发生前会使这些固有参数发生扰动,因此利用舒曼谐振异常来进行地震短临监测可能是一种行之有效的手段.要判断舒曼谐振地震电磁异常,了解舒曼谐振电磁场背景变化规律是前提.本文利用极低频电磁台站观测的天然电磁场数据,处理和分析了各台站观测的舒曼谐振频率电磁场功率谱随时间的变化,得到了舒曼谐振随季节和纬度的背景变化规律.并提出将舒曼谐振背景变化规律应用到地震短临监测预报中,能够为今后辨别地震监测中的舒曼谐振异常提供物理依据. 相似文献