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磁纬20°以下地区哨声多台宽带定向观测及其初步结果 总被引：1，自引：0，他引：1
武汉大学哨声组与日本名古屋大学空电研究所合作于1988年1月在我国南方进行了哨声多台宽带定向测量。利用近两年研制的宽带数字化频率追踪定向分析系统,首次获得了磁纬20°以下地区哨声波出口区与偏振状态的实验结果。初步分析发现,在湛江附近（磁纬约10°N）存在一个比较稳定的哨声路径出口区,三台同时接收到的哨声大多从这同一出口区透射出来;有时存在两个出口区,一个仍位于湛江附近,另一个位于桂林和武昌之间;沿两条不同路径传播的同源哨声具有几乎相同的色散。本文所做的非导管射线追踪计算能比较满意地解释定向实验结果。另外,此次观测中还发现一些新的有意义的现象,如记录到近百例两跳、三跳及五跳回波等,这在低纬地区是非常少见的。 相似文献
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武汉大学哨声组与日本名古屋大学空电研究所合作于1988年1月在我国南方进行了哨声多台宽带定向测量。利用近两年研制的宽带数字化频率追踪定向分析系统,首次获得了磁纬20°以下地区哨声波出口区与偏振状态的实验结果。初步分析发现,在湛江附近(磁纬约10°N)存在一个比较稳定的哨声路径出口区,三台同时接收到的哨声大多从这同一出口区透射出来;有时存在两个出口区,一个仍位于湛江附近,另一个位于桂林和武昌之间;沿两条不同路径传播的同源哨声具有几乎相同的色散。本文所做的非导管射线追踪计算能比较满意地解释定向实验结果。另外,此次观测中还发现一些新的有意义的现象,如记录到近百例两跳、三跳及五跳回波等,这在低纬地区是非常少见的。 相似文献
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定向设计的震源、检波器组合可增强特定方向传播的地震波能量,同时压制其他方向噪声,从而改善低信噪比数据的资料品质.本文提出了一种基于地质模型的定向组合激发-接收技术方法,该技术方法包含三个步骤:定向方向计算、定向组合参数设计、定向组合数据处理.首先对地质模型做波动方程正演并统计地震波出射到地表的能量和角度(方向),然后优化设计组合参数将波场能量定向聚焦到该方向,在进行激发-接收定向组合处理后,最终实现提升地下弱照明地区成像质量的目的 .基于此思路,本文首先分析了地震波场产生方向性的原因,以模型照明结果为例展示了地质结构与波场传播方向的相关性;然后定义了表征波场传播方向和能量大小的能流密度矢量,在此基础上推导出声学介质条件下地表出射波场的角度和能量计算方法;最后给出了组合叠加波场的表达式和求解各组合参数的目标函数.经理论模型和实际资料验证,本文提出的定向组合方法能显著改善资料信噪比,在低信噪比地区应用前景广阔. 相似文献
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地震勘探中,针对目的层地震数据信噪比较低情况,为改善信噪比,本文提出一种基于接收阵列的时域地震波束形成方法(TSBBRA).该方法的理论依据是波束形成原理,文中通过对相控震源激发定向地震波场的分析,提出在反射地震勘探中,在信号接收端同样能生成定向地震波的思路.具体地,论文给出在地震数据集上先对单炮记录分组,再对组内记录时域内延时、叠加,生成对应定向地震波场的地震记录的方法.TSBBRA方法适于杂波干扰强,且杂波与目的层反射波方向不一致的地震条件.本文先通过波场模拟,展示了TSBBRA方法具有形成定向地震波场的能力;而后通过对比相控震源与TSBBBRA时间剖面,说明了TSBBRA方法的有效性;最后在吉林某油页岩矿区,用TSBBRA方法,分别针对浅层目标与深层目标,生成定向地震波数据.与原始数据相比,目标层信噪比提高了3~35 dB,在时间剖面上观测到的深部目标信号从200 ms扩展到1000 ms,TSBBRA剖面资料与测区附近区域的地质与地震资料一致.由此得出结论,TSBBRA方法有助于改善目的层地震资料信噪比,当关注深部目的层时,由于TSBBRA方法能有效压制噪声,因此可用于能够实现更大的勘探深度.实验中,我们给出了浅层勘探结果,由于本方法对震源及观测系统没有限制,实际应用中TSBBRA方法可作为深部资源勘探领域提高深部地震资料信噪比的有效方法. 相似文献
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采用水平层状各向异性介质中的磁流源并矢Green函数计算定向电磁波传播随钻测量的幅度衰减和相位移.分析了定向电磁测量的探测范围和对地层界面的灵敏性,研究了地层各向异性、地层相对倾角和接收天线倾角对定向测量的影响.计算结果表明,频率越低、线圈距越大、目的层和围岩层电阻率对比度越大,定向电磁测量的探测范围越大.随着接收天线倾角的增加,定向幅度衰减在接近地层界面时的变化更加明显,对地层界面的灵敏性增加.采用对称天线结构可消除定向测量信号在远离地层界面处对地层各向异性和地层相对倾角的依赖,实现对地层界面的准确预测. 相似文献
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由(2)式可知,对某一固定的波频率和磁感应强度的电磁波,在空环天线上感应的电压,应与天线的匝数n和天线的面积A成正比。固定台站上接收哨声的环形天线,正是在匝数很少的情况下尽量增大天线面积;或者在天线面积不是很大的情况下增多匝数。当然,在天线的支撑能力允许的条件下,可同时增大n和A。如日本名古屋大学曾用20米×20米、两匝的天线作定向哨声接收;我们曾经用过的天线为4.5米~2,21匝。 相似文献
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《Journal of Atmospheric and Solar》2000,62(17-18):1719-1733
Attention is focused here on the quasilinear and nonlinear physics of cyclotron interactions between magnetospheric whistler mode waves and energetic electrons on dipolar geomagnetic flux tubes. These interactions can lead to the generation of noise-like emissions or phase-coherent discrete signals in the frequency-time domain. In the magnetosphere noise-like emissions called hiss are accompanied by a smooth electron precipitation pattern. Examples of discrete emissions are ELF/VLF chorus or VLF emissions triggered by whistlers from lightning or by radio transmitters on the ground. The rapid temporal variations of these signals are associated with fine structure of the distribution function of the radiation belt electrons, such as a transient step-like deformation or a well-organized beam, which are prepared by initial noise-like emissions or by a quasimonochromatic whistler–wave packet, respectively. These cause the properties of the electrons, which may be observed on a satellite, to evolve rapidly in time and on relatively short spatial scales. Bursts of precipitating electrons occur, and can contribute significantly to depleting the radiation belts. Recent results on improvements in the theoretical understanding of such processes and on new observations of magnetospheric electrons and whistler-mode waves are presented. 相似文献
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In the last decades, one of the main research directions in identifying seismic precursors involved monitoring VLF (Very Low Frequency) and LF (Low Frequency) radio waves and analysing their propagation characteristics. Essentially this method consists of monitoring different available VLF and LF transmitters from long distance reception points. The received signal has two major components: the ground wave and the sky wave, where the sky wave propagates by reflection on the lower layers of the ionosphere. It is assumed that before and during major earthquakes, unusual changes may occur in the lower layers of the ionosphere, such as the modification of the charged particles number density and the altitude of the reflection zone. Therefore, these unusual changes in the ionosphere may generate unusual variations in the received signal level.The International Network for Frontier Research on Earthquake Precursors (INFREP) was developed starting with 2009 and consists of several dedicated VLF and LF radio receivers used for monitoring various radio transmitters located throughout Europe. The receivers’ locations were chosen so that the propagation path from these VLF/LF stations would pass over high seismicity regions while others were chosen to obtain different control paths.The monitoring receivers are capable of continuously measuring the received signal amplitude from the VLF/LF stations of interest. The recorded data is then stored and sent to an INFREP database, which is available on the Internet for scientific researchers. By processing and analysing VLF and LF data samples, collected at different reception points and at different periods of the year, one may be able to identify some distinct patterns in the envelope of the received signal level over time. Significant deviations from these patterns may have local causes such as the electromagnetic pollution at the monitoring point, regional causes like existing electrical storms over the propagation path or even global causes generated by high-intensity solar flares. As a consequence, classifying these perturbations and minimizing them (when possible) would represent an important step towards identifying significant pattern deviations caused by seismic activities.Taken into consideration some of the issues mentioned above, this paper intends to present some aspects meant to improve the overall performance of the existing INFREP network. The signal-to-noise ratio improvement of the monitoring receiver may be achieved by relocating the antenna (or even the entire monitoring system if possible) in areas with less electromagnetic pollution within the VLF and LF bands. Other solution may involve replacing the existing electric “whip” antennas with magnetic loop antennas.Regarding the measuring method, long-term averaging of the received signal to reduce the electromagnetic noise should be carefully applied. If the averaging time is too long, there is a risk that, during a seismic event, the details of the received signal envelope would be lost. Moreover, this may reduce the possibility of making correlations between the monitored stations and INFREP receivers in case of sudden ERP (Effective Radiated Power) variations of the VLF/LF stations. For the same reason, the time synchronization of the recorded data using (for instance) GPS technology is highly recommended.Other aspects related to the overall performance improvement of the INFREP network consist of monitoring other VLF/LF stations such as the Krasnodar station (south of Russia), part of the ALPHA/RSDN-20 VLF navigation system, or the 77.5 kHz DCF77 time signal transmitter (near Frankfurt am Main, Germany). Moreover, the installation of a new reception point in Romania (near Cluj-Napoca) for monitoring the Vrancea area (within the Carpathians Mountains) and the Adriatic region will provide complementary scientific data within the network. 相似文献
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中国地震电磁监测试验卫星张衡一号(ZH-1)已于2018年2月2日成功发射,正在开展卫星数据在轨测试,并对卫星数据质量进行判定.本文对ZH-1卫星2018年5月至6月夜侧的VLF频段电场功率谱数据进行了分析.通过分析位于不同L值、具有不同发射频率的多个VLF人工源上空的卫星重访轨道观测数据,发现ZH-1卫星记录的人工源信号电场变化标准差与DEMETER卫星记录电场变化标准差几乎一致,说明ZH-1卫星观测数据具有较好的稳定性.通过重访轨道均值与全波模型计算结果对比,发现两者在数值上较为接近,在形态上较为一致,说明ZH-1卫星VLF频段电场功率谱数据具有一定的可靠性.此外,研究了VLF人工源上空及共轭区的电场分布特征和电波传播规律,并与DEMETER卫星的结果进行了对比,结果表明VLF人工源产生的电磁辐射穿透电离层后以导管或者非导管的哨声波模向共轭区传播,因为传播过程中的朗道阻尼,共轭区的电场能量比辐射源顶空更小.VLF人工源位于L1.5时,电磁波传播更容易发生非导管传播,VLF人工源信号导管传播模式在共轭区的电场响应相对于共轭点会发生一定程度北向偏移. 相似文献
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频率为3~30 kHz的甚低频（VLF,Very Low Frequency）电磁波具有波长长、传播距离远的特点,能够沿地面-低电离层波导进行传播,在通信、导航等许多领域都被广泛应用.基于波导模理论的长波传播模型（LWPC,Long-Wavelength Propagation Capability）能够用于计算甚低频波的传播路径及幅度,进而研究耀斑、磁暴、地震等事件对电离层的扰动.本文利用国际电离层参考模型（IRI,International Reference Ionosphere）对LWPC中电子密度和碰撞频率进行改进,并将模拟结果与武汉大学VLF接收机实际观测到的NWC （North West Cape）台站信号幅度进行比较分析,结果表明改进后LWPC模型得到的幅度及变化趋势与实际值更加接近.LWPC模型给出的电子密度与IRI模型得到的电子密度在日间基本一致,但是在夜间存在差异,造成夜间部分区域NWC台站信号幅度的差异性,验证了电离层电子密度对于VLF信号传播具有的重要影响.传播路径上的晨昏变化也可以引起VLF信号幅度分布的突变,在日出和日落时间段内存在明显的过渡区域.基于IRI模型的LWPC,改善了VLF电波传播过程的预测分析效果,提供了一种长波导航通信质量的评估方法. 相似文献
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Whistler-mode signals from a single VLF transmitter that have propagated in the same duct, have been observed simultaneously at Faraday, Antarctica (65°S, 64°W) and Dunedin, New Zealand (46°S, 171°E). The signals received have group-delay times that differ in the order of 10 ms, which can be explained by the differences in southern-hemisphere sub-ionospheric propagation time from duct exit region to receiver for the two sites. This difference has been used to determine the location of the duct exit region, with confirmation provided by arrival-bearing information from both sites. The whistler-mode signals typically occur one or two days after geomagnetic activity, with Kp\geq5. The sub-ionospheric-propagation model, LWPC, is used to estimate the whistler-mode power radiated from the duct exit region. These results are then combined with estimated loss values for ionospheric and ducted transmission to investigate the role of wave-particle amplification or absorption. On at least half of the events studied, plasmaspheric amplification of the signals appears to be needed to explain the observed whistler-mode signal strengths. 相似文献
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利用全波解算法模拟哨声波束在甚低纬地区黎明前低电离层透射的三维能量分布，依据波场能量和偏振分布及其对波参量和电子浓度剖面的依赖特征，分析了哨声透射、反射及与大地－电离层波导耦合过程．结果表明，哨声模波存在于９０ｋｍ以上高度，吸收、反射、波束扩展及波模转换主要发生于电离层底部８０－９０ｋｍ区间；到达地面的透射能量密度衰减２０ｄＢ以上，透射衰减随频率变化不大，但随波入射角呈不对称变化；距透射区１５０ｋｍ以外区域的测向方位角有很大偏差；入射波能量的很少一部分（对５ｋＨｚ约为－２５ｄＢ）被反射并激发起哨声模波，反射波束能量集中于入射波束附近，并随频率下降而迅速增强．计算也表明，地面接收到的甚低纬哨声回波可能与使回波向极侧偏移的电离纬向梯度有关． 相似文献
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频率在3~30 kHz的甚低频（VLF,Very Low Frequency）波具有较小的传播损耗和较高的趋肤深度,可以在地球-低电离层波导中实现长距离传输,广泛应用于航海导航、对潜通信等领域,且在电离层遥测方面具有十分重要的意义.基于武汉大学自主研发的VLF接收机在武汉接收的NWC（North West Cape）台站信号,本文通过分析2018年4月23日—2020年7月22日的观测数据研究了日出期间NWC信号的幅度响应及其特点和规律.结果表明NWC信号日出期间的幅度响应主要包括两种极小值结构：2个幅度极小值（SR1、SR2）的Type I结构和3个幅度极小值（SR1、SR2、SR3）的Type II结构.在以SR1出现时间为时间零点进行时序叠加分析后发现,Type I结构比Type II具有更强的规律性和稳定性.在Type I结构下,SR2出现时间的波动范围、平均值、标准差分别为43~65 min、54.2 min、4.4 min,而在Type II结构下,SR2和SR3出现时间的波动范围分别为48~93 min、80~120 min,平均值分别为64.7 min、96.4 min,标准差分别为10.2 min、11.7 min.在27个月的观测期内,3—7月份Type I结构的出现概率100%,未出现Type II结构,而在1—2月和8—12月Type I结构出现的概率明显下降,最低降至1月份的20.7%,而Type II在1月、2月、11月的出现概率均高于70%.按春秋分交替变化（周期1和周期2）的统计结果,在周期1内Type I和Type II结构出现的概率分别为91.5%、8.5%,而在周期2内Type I结构出现的概率降至41.9%,Type II结构出现概率则升至58.1%,这表示观测期间内Type II结构主要出现在秋冬季,春夏季发生概率较低. 相似文献