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1.
雅砻江数字水库地震台网技术系统按照流域化建设和运行模式,以科学合理的测震台站布设、多样化及时通信组网方式和现代化台网中心,构成一个台站流域化布局、地震数据传输通信方式多元化、监测成果实时共享的水库地震监测系统,为工程安全监测和区域防震减灾及相关研究工作提供准确详实的基础资料,并为同类工程及大规模水库地震台网的设计和建设提供参考依据。  相似文献   

2.
地震监测预报工作是防震减灾工作的基础。新北京市地震局从组建开始,就把监测预报和震情跟踪工作当作头等大事来抓,建起了比较完善的监测预报和震情跟踪工作体系。1 前兆监测台网的组成及完善11 前兆监测台网的构成北京市地震前兆监测台网由专业台站和地方观测点共同组成。北京市地震局现有专业台站8个,共22种主要前兆观测方法(见表1)。这8个台站都为有人值守台站,观测仪器设备为中国地震局认可的专业仪器设备,专业观测人员进行观测及维护,观测程序按照中国地震局制定的各方法观测规范进行,观测资料连续可靠,可信度高…  相似文献   

3.
赵敬涛 《地球》2011,(4):103-105
2011年3月11日,日本本州三陆冲发生9.0级特大地震,由864个台站组成的高灵敏度测震台网Hi—net、1028个台站组成的强震台网K-net、688个台站组成的基盘强震台网KK—net、83个宽频带地震台站组成的宽频带台网F—net以及205个台站组成的日本气象厅(JMA)地震台网组成的日本地震监测系统,  相似文献   

4.
通过对地震发生时铁路采取的应急处置措施和我国高速铁路地震监测系统现状的分析,提出建设铁路地震监测预警系统的必要性.为确定地震监测预警台站,研究在高速铁路沿线布置台站的技术方案,特在汉宜高速铁路进行列车通过噪声试验,采集列车通过测点引起的振动数据,探讨列车通过的最大振动加速度和测点与铁路正线距离之间的衰减关系.利用统计分析方法分析最大振动加速度和距离之间的衰减关系.利用频域分析方法设置低通滤波器,对列车引起的振动数据进行滤波,进一步减少列车对台站监测预警数据的影响,所提出的衰减关系及数据初步处理方法对高速铁路地震监测预警台站选取和建设具有指导意义.  相似文献   

5.
为获得辽宁测震台网科学准确的监测能力评估结果,分析辽宁及周边地区的地震监测能力时空分布特征,为测震台网的优化提供科学依据。本研究首次将"基于概率的完整性震级"(PMC)方法应用到辽宁测震台网,通过计算获得辽宁地震台网37个台站的单台检测概率、测震台网合成检测概率以及基于概率的最小完整性震级M_P。单台检测概率表明:PMC方法能够客观地反映台站对地震事件的检测能力;营口—海城老震区周围的台站对较小震级的地震有较高的检测能力,受台网布局影响,位于辽宁边界地区台站的检测能力较弱。M_P时空分布特征显示:辽宁中部沈阳—辽阳—本溪—鞍山—盘锦地区1.5≥M_P≥1.2。辽宁南部大连一带监测能力较低M_P≥3.0,辽宁西部与河北交界地区3.0≥M_P≥2.5,辽宁其他区域2.5≥M_P≥1.8。研究结果表明,为进一步提高辽宁地震台网监测能力,需在辽宁东部、东南部建设台站以提高该区域台站密度,在辽宁西部地区建设部分台站和重新规划需要引入的河北共享台站,以提高该区域的台站密度及改善台站空间布局和该区域的监测能力。  相似文献   

6.
采用基于概率的完整性震级(PMC)方法,选取上海测震台网13个地震台站及周边省市地震台2008-2019年记录的171个地震,计算各地震台及上海测震台网地震监测能力,并模拟增加新的地震台站后台网监测能力的变化。结果显示:①地表基岩台的监测能力较深井台强,且受噪声和地铁影响,市区深井台监测能力较低;②整体上,台站密布的松江和青浦地区,地震监测能力较强,最小完整性震级为ML 0.7。台站稀疏的浦东、奉贤、崇明地区,地震监测能力较弱,最小完整性震级为ML 1.3;③若在上海南部增设奉贤海湾台,可整体提高上海测震台网的监测能力。  相似文献   

7.
选取2019年1月至2022年12月乌鲁木齐及周边地区14个测震台站垂直分量波形记录,通过计算PSD(功率谱密度)和PDF(概率密度函数),统计不同频段功率谱密度分布情况,对比乌鲁木齐及周边地区疫情前后背景噪声变化特征,并结合大数据探讨人口迁徙与背景噪声变化的相关性。同时计算了疫情前后研究区最小完备震级(Mc),对比分析其地震监测能力变化特征。结果表明:研究区地震背景噪声水平受疫情影响出现不同程度的下降,高频段(1~35 Hz)最大下降幅度为36.6 dB,部分台站长周期频段下降突出,这是人类活动间接影响的;上述变化与人口迁徙大数据变化呈现了极大的正相关。此外在疫情封闭期间,地震监测能力并没有明显的提高,但部分台站获得更为清晰的震相记录。  相似文献   

8.
详细介绍单台地震实时监测与应用软件的设计与实现,以及各模块的功能特点.该软件系统采用了基于Morlet小波理论进行震相识别,并且将标准长短时平均能量比方法和MCWT-AIC方法相结合,实现了地震事件实时监测报警,在数据分析处理中将时频分析技术应用其中,该软件很适合在测震台站与流动台站的单台地震监测与研究工作中使用.  相似文献   

9.
黑龙江省测震台网监测能力评估   总被引:1,自引:1,他引:0  
通过对黑龙江邻省相关台站测震数据共享和近几年台网建设规划的实施发现,该省测震台网监测能力得到进一步提高.  相似文献   

10.
吉林台网测震台站监测效能评估   总被引:1,自引:0,他引:1  
由于种种原因,台站地震计的固有周期、阻尼、灵敏度、观测动态范围等参数和台基噪声在运行的过程中会发生变化。本文用阶跃标定和计算观测动态范围、台基噪声功率谱的方法,得到吉林测震台网各台站地震计参数和台基噪声的变化情况,掌握吉林测震台网各台站的监测能力,为以后吉林测震台网的建设和发展提出建议。  相似文献   

11.
T-波是由海底地震或者海陆边界俯冲带附近地震激发,并在海洋低速层中传播的声波.2004年12月26日,在印度洋东部印尼苏门答腊岛附近发生MW=9.3级大地震,其产生的能量在印度洋中激发了巨大的海啸,造成了严重的人员伤亡和财产损失,受到了世界科学家们极大的关注.本文从台站(PALK)及台站(DGAR)记录到的地震的信号中,提取出了清晰的高频T-波,并在频率域内分析,最终得到了T-波的频谱已及频率随时间变化图像.另外,通过对大地震时间域和频率域内T-波信号的分析,了解到此次大地震断层破裂过程持续的时间大致为500 s,其间伴随有两次明显的能量释放过程.分析数据表明两次能量释放过程的间隔大致为80~100 s.T-波分析将为推断海洋地震以及海陆边界俯冲带附近地震的特征,提供一种独立的研究手段和方法.  相似文献   

12.
The monitoring of the stability of old mines constitutes an important research objective for our institution, BRGM. The study reported here shows the contribution of high-frequency (>30 kHz) acoustic emissions to the detection of the damage within a rock mass, during an experiment within a pilot site of an old flooded iron mine. The experiment consisted of recording all the hydroacoustic events in a broad frequency band (between 30 Hz and 180 kHz), during 18 months. The monitoring network has been calibrated by a triggered block fall that made it possible to highlight a relationship between the occurrence of high-frequency/low-frequency hydroacoustic emissions and rock falls. The events recorded have been associated with the micro-failure of the rock mass near the roof, prior to the detachment of the blocks. This monitoring showed important high-frequency hydroacoustic activity, which may be associated with mechanical instabilities generated by the evolution of water pressure during the experiment. In conclusion, the high-frequency hydroacoustic activity appears to be a good indicator of instability and, therefore, this new technique constitutes a promising tool for monitoring abandoned underground cavities.  相似文献   

13.
The government of Ghana in a bilateral agreement with the Preparatory Commission for the Comprehensive Nuclear Test-Ban Treaty Organization (CTBTO) has established a National Data Center in Ghana with the aim of monitoring the testing of nuclear explosions. Seismic, hydroacoustic, radionuclide and infrasound methods are used for the monitoring. The data center was commissioned on 3 February, 2010 at the Ghana Atomic Energy Commission. At present Ghana does not have any operational, centralised data (seismic, hydroacoustic, radionuclide and infrasound) acquisition system with the capability of accessing data from other international stations. Hence, the need of setting up the National Data Center which would enable us constantly monitor, manage and coordinate both natural and man-made seismic activities in the country and around the globe, upload data to the International Data Center (IDC) as well as receive and use International Monitoring System (IMS) data and IDC products for treaty verification and compliance. Apart from these, the center also accesses and analyzes seismic waveforms relevant to its needs from the International Data Center; makes data available to its stakeholder institutions for earthquake disaster mitigation; reports on all aspects of disasters related to earthquake to the relevant government agencies that deal with disasters; makes recommendations to the government of Ghana on earthquake safety measures; provides information to assist government institutions to develop appropriate land and building policies. The center in collaboration with stakeholder agencies periodically organises public lectures on earthquake disaster risk mitigation.  相似文献   

14.
The International Data Centre (IDC) in Vienna, Austria, is determining, as part of automatic processing, sensor noise levels for all seismic, hydroacoustic, and infrasound (SHI) stations in the International Monitoring System (IMS) operated by the Provisional Technical Secretariat of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO). Sensor noise is being determined several times per day as a power spectral density (PSD) using the Welch overlapping method. Based on accumulated PSD statistics a probability density function (PDF) is also determined, from which low and high noise curves for each sensor are extracted. Global low and high noise curves as a function of frequency for each of the SHI technologies are determined as the minimum and maximum of the individual station low and high noise curves, respectively, taken over the entire network of contributing stations. An attempt is made to ensure that only correctly calibrated station data contributes to the global noise models by additionally considering various automatic detection statistics. In this paper global low and high noise curves for 2010 are presented for each of the SHI monitoring technologies. Except for a very slight deviation at the microseism peak, the seismic global low noise model returns identically the Peterson (1993) NLNM low noise curve. The global infrasonic low noise model is found to agree with that of Bowman et al. (2005, 2007) but disagrees with the revised results presented in Bowman et al. (2009) by a factor of 2 in the calculation of the PSD. The global hydroacoustic low and high noise curves are found to be in quantitative agreement with Urick’s oceanic ambient noise curves for light to heavy shipping. Whale noise is found to be a feature of the hydroacoustic high noise curves at around 15 and 25 Hz.  相似文献   

15.
The results of a hydroacoustic monitoring experiment in the Kelut Crater lake, Indonesia, prior to its 1990 eruption, are presented, with the benefit of hindsight. Indeed, the underwater noise levels in three widely separated frequency bands, together with the lake water temperature, was radio-transmitted and almost continuously recorded from a period of quiescence of the volcano till the onset of its 10 February 1990, eruption, which destroyed the monitoring buoy. The comparative analysis of the noise variations in the three bands, together with seismic and temperature data, have shed light on the mechanisms underlying the pre-eruptive activity. The three acoustic levels had shown conspicuous, yet distinctive, changes prior to the eruption. Acoustic level in the low-frequency (1–50 Hz) band, which increased one year before the resumption of seismic activity and the lake warming up, is interpreted as the result of boiling at depth. The source of high-acoustic level in the audiometric (500–5000 Hz) range is clearly the bubbling of volcanic gases, occurring as a strong convective column in the middle of the lake. From the variations of this audiometric level, we have estimated that the degassing rate in the lake increased by a hundred-fold during the pre-eruptive period. Variations of ultrasonic (20–100 kHz) frequency acoustic level seem to be related with pressure and thermal changes within the hydrothermal system and its rock matrix beneath the lake. In conclusion, this experiment demonstrates the potential of hydroacoustic monitoring as an early warning system at crater lake volcanoes.  相似文献   

16.
Hydroacoustic signals detected in late 2000 by seismic stations in Polynesia are shown to originate from huge icebergs which at the time were drifting in the Ross Sea after calving off the Ross Ice Shelf. The signals present a broad variety of spectral characteristics, most of them featuring prominent eigenfrequencies in the 4-7 Hz range, often complemented by overtones. Most epicenters, obtained by combining observations of distant hydroacoustic and regional seismic records, follow the spatio-temporal evolution of the drift of iceberg B-15B. Most of the signals are generated during a 36-day time window when it is speculated that B-15B collided with smaller icebergs or was scraping the ocean floor on the shallow continental shelf. We speculate on the possible physical nature of the resonator generating the signals, which could correspond to an elastic mode of the iceberg, or to the oscillation of fluid-filled cracks in the ice.  相似文献   

17.
— The Prototype International Data Center (PIDC) has designed and implemented a system to process data from the International Monitoring System's hydroacoustic network. The automatic system detects and measures various signal characteristics that are then used to classify the signal into one of three categories. The detected signals are combined with the seismic and infrasonic detections to automatically form event hypotheses. The automatic results are reviewed by human analysts to form the Reviewed Event Bulletin (REB). Continuous processing of hydroacoustic data has been in place since May 1997 and during that time a large database of hydroacoustic signals has been accumulated. For a two-year period, the REB contains 13,582 T phases that are associated to 8,437 events. This is roughly 25% of REB events after taking station downtime into account. Predicted travel times used in locations are based on the arrival time of the peak a mplitude mode calculated from a normal mode propagation model. Global sound velocity and bathymetry databases are used to obtain reliable 2-D, seasonally dependent, travel-time tables for each hydroacoustic station in the PIDC. A limited number of ground-truth observations indicate that the predicted travel times are good to within 5 seconds for paths extending to over 7,000?km – corresponding to a relative error of less than 0.1%. The ground truth indicates that the random errors in measuring arrival times for impulsive signals are between 1 and 6 seconds. This paper describes and evaluates the automatic hydroacoustic processing compared to the analyst reviewed results. In addition, special studies help characterize the overall performance of the hydroacoustic network.  相似文献   

18.
以STC89C52单片机为核心,开发基于"十五"网络的地震台站电源远程监控系统,实时的监控台站仪器设备的状态并收取状态参数,实现设备复位操作及故障报警,可以提高地震台网中心仪器运行效率。  相似文献   

19.
—?T-phase propagation from ocean onto land is investigated by comparing data from hydrophones in the water column with data from the same events recorded on island and coastal seismometers. Several events located on Hawaii and the emerging seamount Loihi generated very large amplitude T phases that were recorded at both the preliminary IMS hydrophone station at Point Sur and land-based stations along the northern California coast. We use data from seismic stations operated by U. C. Berkeley along the coast of California, and from the PG&;E coastal California seismic network, to estimate the T-phase transfer functions. The transfer function and predicted signal from the Loihi events are modeled with a composite technique, using normal mode-based numerical propagation codes to calculate the hydroacoustic pressure field and an elastic finite difference code to calculate the seismic propagation to la nd-based stations. The modal code is used to calculate the acoustic pressure and particle velocity fields in the ocean off the California coast, which is used as input to the finite difference code TRES to model propagation onto land. We find both empirically and in the calculations that T phases observed near the conversion point consist primarily of surface waves, although the T phases propagate as P waves after the surface waves attenuate. Surface wave conversion occurs farther offshore and over a longer region than body wave conversion, which has the effect that surface waves may arrive at coastal stations before body waves. We also look at the nature of T phases after conversion from ocean to land by examining far inland T phases. We find that T phases propagate primarily as P waves once they are well inland from the coast, and can be observed in some cases hundreds of kilometers inland. T-phase conversion at tenuates higher frequencies, however we find that high frequency energy from underwater explosion sources can still be observed at T-phase stations.  相似文献   

20.
智能地震台站试验性研究   总被引:1,自引:0,他引:1  
通过安装在台站的软硬件设备和远程测控平台,智能地震台站综合智能监控系统可以对无人职守地震台站设备的工作状态和环境进行实时监控,并能够自动判定台站故障点及发出报警信息,实现异地操作台站电源及观测设备等.试点运行结果表明,该系统运行稳定可靠,可以对台站的观测设备进行有效地保护,并极大地提升了数字地震台网中心的工作效能.  相似文献   

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