首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 156 毫秒
1.
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   

2.
In this paper,we provided the electromagnetic anomaly phenomena prior to five earthquakes with magnitude MW>6.0 occurring in China continent in 2008.The electromagnetic data in frequency bands 800~0.1Hz are recorded at two stations located in Urumqi,Xinjiang Uygur Autonomous Region (URQ) and Tonghai,Yunnan Province (TH).The time series of four horizontal components of the electromagnetic field at the stations are converted to the spectra using Fast Fourier Transform.The relationship between the electromagnetic anomalous phenomena and the earthquake events is studied through analyzing the temporal variation of electromagnetic spectra and comparing them with earthquake events.This study provides the new examples for electromagnetic anomaly phenomena before the earthquakes.The following features can be found.①The obvious anomalous power spectrum density (PSD) of electromagnetic fields in frequency band of 128~0.5Hz appeared before earthquakes.The anomalous PSD is related to the earthquake magnitude and the epicenter distance.The anomaly size of magnetic PSD is about 1-3 orders of magnitude bigger than the background field before Wenchuan MS8.0 earthquake.② The changes of parameters are also related with frequency of the signal;The ELF signal strength observed at seismic stations is significantly related with distance between the stations or the measured magnetic and electrical field components and the source of earthquake.We also found that the field strength attenuated faster in area closer to the source than in far area.It is clear that the magnetic signals have higher signal noise ratio than the electric data.③ The amplitudes are also related with the azimuth of the earthquake to station and with the frequency of the data.④ The anomalous pulses showed cluster phenomenon in time.  相似文献   

3.
本文对都江堰地震台2类电磁波仪的震前记录进行分析,震前仪器记录到了电磁波异常现象:2006年6月21日甘肃文县5.0级、2006年7月22日和2006年8月25日云南盐津2次5.1级地震,这些说明电磁波监测在地震短临预报中有参考意义。  相似文献   

4.
强震前后空间电磁场时空演化特征   总被引:1,自引:1,他引:0       下载免费PDF全文
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   

5.
LI Jian-kai  TANG Ji 《地震地质》2017,39(3):517-535
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   

6.
"十五"建设的ELF台站均敷设ACF-4M型电磁仪,记录到多次地震前后的电磁异常变化,但该仪器没有实现自动化。本文介绍ELF仪器的远程控制和数据传输以及原始数据转换的研制方案。由于ELF记录仪无法接入因特网,要远程触发ELF仪器必须有中间设备,首先远端计算机通过互联网控制局域网计算终端,通过局域网计算终端运行SM27.exe工作程序来触发并通过相应程序实现数据的传输;将ELF记录仪采集到的时间序列信号(*.SBF数据格式)、仪器本身的参数信息和采集状态信息依据其编码规则转换成通用的数据格式导出,将计算的功率谱、阻抗、阻抗相位文件以优势频率或任意频率形成时间序列文件进行分析,提高ELF观测资料的应用效率,加快观测电磁数据的使用效率。  相似文献   

7.
回顾了四川地震监测预报工作40年发展历程。四川地震监测预报积累了地震学和前兆观测资料,推进了测震台网、前兆监测台网、流动监测网以及空间技术的发展应用,为地震预测探索之路奠定了基础;地震预报科研经历了多次科研攻关研究,总结了经验和教训,提炼和筛选了一些预报指标和方法;地震监测数字化的发展,给地震监测预报提出新的课题;今后仍将依赖于科学和创新机制,依赖于高新技术应用,依赖于地震监测网能力和质量提升,始终坚持边观测、边研究、边预报的地震预测的探索之路。  相似文献   

8.
This article introduces the practical observation results of pre-earthquake electromagnetic radiations at the network of monitoring stations in Jiangsu region in resent years and discusses the electromagnetic wave precursors during the approaching period of earthquakes based on the observations of the electromagetic radiation signals before theM s 6.0 Liyang earthquake of 1979 in Jiangsu province, theM s 5.9 Heze earthquake of 1983 in Shandong province and theM s 6.2 South Yellow Sea earthquake of 1984.  相似文献   

9.
Three experiments are carried out for earthquake monitoring using electromagnetic (EM) methods in recent years. Some earthquakes occurred in chance of the measurement time period for each experiment and the anomalies were recorded before the shocks. The observation at a site 20 km away from the epicenter of Zhangbei MS6.2 earthquake in 1998 shows that the apparent resistivity decreases in the strike direction before and/or during the earthquake and the resistivity increases in the de-cline direction. This a...  相似文献   

10.
云南地区强震电磁波异常特征及其预报意义   总被引:6,自引:1,他引:6  
李吾先  金明培  马骏康 《地震》2003,23(2):77-84
从1992年11月开始实施了中日地震电磁波观测和研究项目,该电磁波观测资料真实完整地观测记录到丽江等29次近震电磁波异常的发展过程;对29个地震的特征作了对比观测研究,表明地震电磁波异常有3种发展类型,与之对应建立了3种地震电磁波预报规则;初步提出利用地震电磁波预报地震的模式;分析、讨论TOA电磁波监泅系统的优越性,并在一定程度上对发展地震电磁波观测找到了有效的前兆信息观测方法和监泅系统。这将对地震电磁波的观测和研究以及对地震短临预报起到一定的推动作用。  相似文献   

11.
Based on the case studies and statistical analysis of earthquake-related ionospheric disturbances mainly from DEMETER satellite, ground-based GPS and ionosounding data, this paper summarizes the statistical characteristics of earthquake-related ionospheric disturbances, including electromagnetic emissions, plasma perturbations and variation of energetic particle flux. According to the main results done by Chinese scientists, fusing with the existed study from global researches, seismo-ionospheric disturbances usually occurred a few days or hours before earthquake occurrence. Paralleling to these case studies, lithosphere-atmosphere-ionosphere (LAI) coupling mechanisms are checked and optimized. A thermo-electric model was proposed to explain the seismo-electromagnetic effects before earthquakes. A propagation model was put forward to explain the electromagnetic waves into the ionosphere. According to the requirement of earthquake prediction research, China seismo-electromagnetic satellite, the first space-based platform of Chinese earthquake stereoscopic observation system, is proposed and planned to launch at about the end of 2014. It focuses on checking the LAI model and distinguishing earthquake-related ionospheric disturbance. The preliminary design for the satellite will adopt CAST-2000 platform with eight payloads onboard. It is believed that the satellite will work together with the ground monitoring network to improve the capability to capture seismo-electromagnetic information, which is beneficial for earthquake monitoring and prediction researches.  相似文献   

12.
电磁卫星和地震预测   总被引:7,自引:11,他引:7       下载免费PDF全文
地震前几周、几天、几小时甚至几分钟,电磁场的强度、相位或者谱密度等将发生异常变化,电离层的电子、离子浓度和温度等会发生异常扰动,这些现象的出现向人们发出地震即将来临的信号.这些现象不仅在地面可观测到,在卫星上也能观测到,它们在确定异常现象发生的地点和时间等方面具有各自的优势,把两种观测相结合,对异常信号进行立体监测,是实现地震预测预报的发展趋势.至今,对地面观测已经进行了大量的研究和实践,利用卫星进行观测近几年刚刚开始,但已经显示了它监测地震异常的独特能力,引起各方面的高度重视,成为各国建立立体预警系统不可缺少的组成部分.本文重点介绍利用卫星等观测空间电磁异常现象的研究结果.  相似文献   

13.
对永胜6级地震的预报及依据   总被引:2,自引:1,他引:2  
2001年10月27日在云南永胜发生6.0级地震,震前四川省地震局有较准确的中期和短临预报,加强了川滇交界地区的地震监测预报工作,并且向四川省政府作了汇报,取得了明显的社会效益。经验性地震预报重视川滇菱形地块西界断裂带动态活动图像的分析,尤其对历史强震破裂空段附近出现的中小震活动带或新活跃区段的研究;同时,重视4级前震群、川滇交界地区地下水位、水温、形变观测异常的跟踪分析和震情预测。  相似文献   

14.
地震前长周期事件的研究——历史与现状   总被引:16,自引:1,他引:15  
自20世纪60年代以来,已经积累了许多地震前长周期事件的观测资料。这些长周期事件可以被很多不同的观测系统记录到,如跨断层形变、超低频电磁异常、次声波异常、井下低频导波、井水水位等。理论上对地震前长周期事件已给出了许多论证,例如,震前的断层蠕动、静地震与慢地震、断层的断裂预扩展和地震成核等。解决震前长周期事件的地面可测性,对突破“震前平静”带来的短临预测的困惑会起到举足轻重的作用。目前的主要问题是缺乏网络化的系统观测和对物理机制的研究。  相似文献   

15.
基于地脉动噪声计算方法,以呼伦贝尔市地震台网8个台站连续波形资料为基础,对地震观测台网监测能力进行评估,同时开展台网优化和科学布局研究。通过累计的历史噪声数据,用来评估台站观测环境的变迁,及时掌握地震监测能力的变化。该成果将为地震速报、重点地震危险区震情跟踪、强震后现场应急提供科学参考。  相似文献   

16.
临震电磁波前兆的观测研究   总被引:2,自引:0,他引:2       下载免费PDF全文
本文介绍江苏地区震前电磁波观测台网几年来的实际观测资料,并根据1979年溧阳Ms6.0、1983年山东荷泽 Ms5.9及1984年南黄海 Ms6.2级等地震前电磁波辐射信号的观测结果,讨论有关临震电磁波前兆问题.   相似文献   

17.
盈江5.8级和缅甸7.2级地震前电磁异常   总被引:1,自引:0,他引:1       下载免费PDF全文
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   

18.
天津地区井水位气压系数变化与地震关系的探讨   总被引:2,自引:0,他引:2  
地下水位气压系数在震前出现异常变化的研究,在地震预测研究中具有积极的作用和现实意义。利用高采样率的数字化资料,采取一阶差分筛选回归分析的方法,对天津地区4口地下水动态观测井的气压系数进行计算分析,并对其与地震的关系进行探讨。研究认为:不同的井孔,由于自身条件及干扰因素的不同,气压系数在震前的异常变化形态及幅度都有所不同;气压系数是随时间和空间而变化的物理量。通过文安5.1级地震震例检验,提出利用气压系数预报地震的可能性,但将之应用到地震监测预报实践中,尚需更多震例检验,并需开展广泛、系统的研究。  相似文献   

19.
王伶俐  洪敏  张勇  高涵  徐良叶  牛甜 《中国地震》2020,36(1):91-104
采用GAMIT/GLOBK软件对云南境内及邻区近400个GNSS测点1999~2018年的观测数据进行解算,在各个测点时间序列和速度场的基础上,采用克里金插值方法分时段估计该区域在1999~2004年、2004~2007年、2009~2013年、2013~2015年、2015~2018年共计5个时间区域应变率场;根据区域地壳面应变率和最大剪应变率的空间变化以及相应时段之后3年内的MS≥5. 0地震事件分布特征,分析发现:绝大部分震例发生在面应变高梯度带的张压转换区和最大剪应变高值区,可见研究区各个观测时段GNSS应变率场对后期1~3年内的中强震发生区域有一定的指示意义;以2014年盈江6. 1级、鲁甸6. 5级和景谷6. 6级地震为样本,建立监视块体获取应变时间序列,分析发现:地震前三个月左右均出现震中附近短期应变趋势改变、快速增强、转折的现象,这些形变异常变化或许反映了发震区应力-应变积累在接近临界破裂状态时的非线性调整,为地震短临预测尤其是时间要素的判断提供参考。  相似文献   

20.
强震前ELF/VLF磁场的扰动特征统计研究   总被引:2,自引:0,他引:2       下载免费PDF全文
本文利用DEMETER卫星记录的变化磁场数据统计研究了2005—2009年北半球7级以上强震前后空间磁场的扰动特征.在震中±10°范围内利用震前2个月至震后1个月的5年同期观测的ELF/VLF[370~897 Hz]频段磁场功率谱密度数据构建了背景场,定义了表征空间磁场在地震时段相对于背景场的扰动幅度指标.统计研究发现26个强震中42%的地震主要表现为震前磁场扰度幅度逐渐上升,超过3倍标准差,随后在扰度幅度下降过程中发震.35%强震在地震前10天内最大扰动幅度超过3倍标准差,在扰度幅度处于最高值期间发震,震后磁场扰动幅度逐渐回落.23%的强震在震前震后无明显规律.随机事件测试发现在空间天气平静且无强震条件下随机地点上空的磁场无明显的时空演化规律,且随机地点上空的空间磁场相对于背景场的平均扰度幅度很小,最大扰度幅度从未超过2倍标准差,并且没有明显的随时间变化特征.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号