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1.
DEMETER卫星记录到的电离层加热现象   总被引:1,自引:0,他引:1  
在法国DEMETER卫星运行期间, 地基电离层加热装置SURA和HAARP开展了一系列加热试验, 记录到各类电离层异常信息, 发现电离层加热过程中卫星观测的电离层扰动信号包括HF发射泵波及边带泵波、VLF人工源增强及频谱拓展、ULF/ELF/VLF调制波、ELF电磁扰动、ULF谐振波、等离子体特征参量扰动及高能粒子沉降等. 由于传播及耦合机制的差异, 发射泵波可以穿透电离层直达卫星高度, 其观测概率最高达到68%以上, 其他扰动受发射调制模式及当地电磁环境等影响,观测概率相对较低, 均在40%左右, 有些甚至是某次试验中出现的个别事例. 结合中国地震电磁监测试验卫星飞行轨道设计及载荷配置等,对未来开展加热试验进行了分析论证, 并参考DEMETER卫星试验结果给出了一些建议.  相似文献   

2.
新疆于田7.2 级地震前的电离层电磁扰动   总被引:6,自引:1,他引:5  
利用法国DEMETER 卫星观测的电磁、等离子体等参量的观测数据分析了2008 年3 月21日新疆于田7.2 级地震前离子温度Ti、离子密度Ni、甚低频(VLF) 磁场等出现的异常变化. Ti分析显示震中区上空出现的突变信号在更大空间多次重复出现, 作为地震异常的信度不高. 通过多次重访轨道对比发现H+ 离子密度整体变化形态一致, 但夏秋季节的峰值变化幅度是冬春季节的1 倍. 通过把2008 年的数据与2007 年和2006 年同期的重访轨道数据进行对比, 发现2008 年在于田地震前1 个月左右Ni 在峰值区呈现了显著增强的变化趋势, 并一直持续到地震前, 2008 年2 月以后的峰值幅度是其他两年同期的~1 倍多. 对于磁场频谱数据, 抽取了震中区域上空2000 km 范围内多个轨道的单频(400 Hz)信息, 并在研究区域统一纬度空间(0~60°N) 进行了时间序列对比, 结果发现地震前2 日内震中区域上空400 Hz 谱密度增加了近一个数量级, 反映空间存在明显的VLF 电磁辐射现象. 对于3 月20 日极低频段(ELF) 三分量电磁场的矢量分析显示观测时段内存在一些左旋极化电磁信号, 反映了空间电离层离子密度变化伴随ELF 电磁辐射信息. 综合分析认为, 这次地震前各参量的变化过程与目前地震孕育及电离层耦合机理相吻合.  相似文献   

3.
震前地震孕育期地表异常增强的电场,通过大气电导率传输到电离层高度.该异常电场通过非稳态局部加热,可以在电离层高度激发声重波.基于该理论,利用一维时变中纬电离层物理模型,模拟了该扰动源对电离层电子密度的影响.结果表明,重力波引起的中性风速度扰动对电离层电子密度分布影响甚微,该机理无法解释震前电离层异常扰动现象.  相似文献   

4.
玉树地震前的电离层异常现象分析   总被引:5,自引:0,他引:5       下载免费PDF全文
分析了玉树地震前地基电离层探测临界频率、GPS TEC和卫星探测原位等离子体参量等多个参数的扰动变化信息, 研究了不同高度异常变化的时空关联性. 分析发现, 在地震前一天的4月13日, 多个电离层参量出现同步扰动异常, 电离层临界频率f0F2异常相对滑动中值增大40%, 异常空间上存在从震中东南向西南漂移的特性; GPS TEC异常增强15TECU (1TECU=1016m-2)左右, 分布于震中南部经度15°范围内, 且有明显的磁共轭效应; DEMETER观测的原位氧离子密度Ni(O+) 4月13日为1-4月中最强的一天, 异常分布偏向赤道区, 但仅局限在30°-50°左右的经度范围内. 综合三个参量的异常特征发现, 无论是空间的局地性还是时间上的密切关联均反映这次电离层扰动可能与玉树地震孕育有关. 结合其他观测信息, 进一步探讨了这次地震孕育过程的地震电离层耦合机理.  相似文献   

5.
In this paper we examine the pre-earthquake ionospheric anomalies by the total electron content (TEC) extracted from GIM (global ionospheric map) and the electron density (Ne) observed by the DEMETER (Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions) satellite during the 2010 M8.8 Chile earthquake. Temporal variations show the nighttime TEC and Ne simultaneously increase 9–19 days before the earthquake. A cross-comparison of data recorded during the period of 1 February to 3 March in 2006–2010 confirms the above temporal anomalies specifically appear in 2010. The spatial analyses show that the anomalies tend to appear over the epicenter.  相似文献   

6.
Results of a statistical variation of total ion density observed in the vicinity of epicenters as well as around magnetically conjugated points of earthquakes are presented in this paper. Two data sets are used: the ion density measured by DEMETER during about 6.5?years and the list of strong earthquakes (MW?≥?4.8) occurring globally during this period (14,764 earthquakes in total). First of all, ionospheric perturbations with 23–120?s observation time corresponding to spatial scales of 160–840?km are automatically detected by a software (64,287 anomalies in total). Second, it is checked if a perturbation could be associated either with the epicenter of an earthquake or with its magnetically conjugated point (distance?<?1500?km and time?<?15?days before the earthquake). The index Kp?<?3 is also considered in order to reduce the effect of the geomagnetic activity on the ionosphere during this period. The results show that it is possible to detect variations of the ionospheric parameters above the epicenter areas as well as above their conjugated points. About one third of the earthquakes are detected with ionospheric influence on both sides of the Earth. There is a trend showing that the perturbation length increases as the magnitude of the detected EQs but it is more obvious for large magnitude. The probability that a perturbation appears is higher on the day of the earthquake and then gradually decreases when the time before the earthquake increases. The spatial distribution of perturbations shows that the probability of perturbations appearing southeast of the epicenter before an earthquake is a little bit higher and that there is an obvious trend because perturbations appear west of the conjugated point of an earthquake.  相似文献   

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