共查询到20条相似文献，搜索用时 500 毫秒
1.
2.
3.
4.
基于小浪底数字地震台网建设改造,就微震台网和强震台网在大坝监测中的应用做了详细的介绍,试图为同类台网的建设提供借鉴和参考。 相似文献
5.
6.
7.
本文简要地回顾了中国强震观测发展的历史,着重介绍我国强震观测台网和强震数据处理分析工作的现状,还简单地叙述了中国在强震观测领域中的国际合作问题。 相似文献
8.
根据新疆喀什地区两次地震中新疆强震台网记录的加速度数据,分析介绍了强震观测资料的常规处理和使用,并简介了强震观测资料在研究地面运动特征中的作用。 相似文献
9.
10.
福建和台湾地震台网测定地震震级差异研究 总被引：1，自引：0，他引：1
介绍了闽、台地震台网及观测资料情况,统计了1971年以来两台网均有测定的在台湾及其邻近海域地区发生的6级以上地震,并计算了福建地震台网测定近震震级范围、闽台两地震台网测定震级的差量、平均偏差及标准偏差.结果表明,福建地震台网测定台湾及其邻近海域地区强震震级普遍偏小,存在0.3～0.5级的偏差.进而分析了闽、台地震台网测定台湾强震震级的差异关系,对福建地震台网测定台湾及其邻近海域强震震级偏差改正及闽、台今后开展地震联合观测有重要参考价值. 相似文献
11.
随着中国“数字地震观测网络”项目的启动,中国强震动观测网络将新增大量先进的数字化、网络地震动记录仪,该类型仪器具备大存储容量、自动震动触发、自动报警,本地串口通讯、远程Modem通讯、远程TCP/IP网络通讯等功能,这些先进功能为强震动数据记录、存储、强震动记录以及相关地震信息自动传输创建了硬件基础.新增的大量强震动观测设备,使得强震台网的密度进一步加大,因此可利用的强震动观测数据大大增加,但目前中国的强震观测网络无法及时的收集、分析、处理这些海量数据.而随着国家级、区域级台网中心的进一步扩建、新建,监控中心网络硬件设备、软件齐全,通讯网络大大加强,也使得大数据分析、处理、传输成为可能,在此基础上建立强震动观测无人值守信息管理自动化成为一种可能.并且随着该自动化系统的运行,积累的强震观测记录也可建立强震观测数据仓库,并在数据仓库的基础进一步建立强震分析数据挖掘方法. 相似文献
12.
13.
利用自动经验基线校正方法,分析日本2008年岩手-宫城内陆Mw6.9地震震中周围密集强震动观测台网资料,快速解算出了同震位移场分布,并据此反演了震源滑动模型.经与GPS结果比较,两种不同方法给出的同震位移幅值、方向和总体分布特征较为接近.基于相同断层面参数反演的震源模型空间展布形态、主要滑动范围、平均和最大滑动量、滑动方向以及由模型计算的矩震级等均吻合较好,从而验证了方法的可行性.讨论了自动经验基线校正方法尚存在的问题和不足,为今后利用强震资料快速解算Mw6-7级及以上地震的同震位移场并反演震源滑动分布提供参考. 相似文献
14.
2020年7月12日发生了唐山古冶5.1级地震,其强震动影响波及京津唐地区,特别是北京城区也出现了强烈的震感。中国强震动观测台网、国家地震烈度速报台网及典型建筑结构地震反应观测台阵获得大量的强震动记录。这次地震震级不大,但为地震科学研究提供了较为丰富的信息。基于获得的地震影响信息,可开展以下方面的研究:①利用地震附近及区域范围内地震烈度速报台网的密集观测记录,开展地震影响烈度快速计算分析及台网功能可靠性检测;②利用北京和天津地区的强震动观测记录,探讨深厚覆盖土层和盆地场地地震动影响;③利用京津唐地区震中距至300 km的强震动观测记录,研究京津唐地区的地震动衰减特性;④利用北京城区的建筑结构地震反应观测台阵记录,分析典型工程结构地震反应特征;⑤其他,如场地土层参数和工程结构参数反演研究等。本文针对以上关注的问题,介绍了相关初步研究工作并开展了进一步探讨性分析研究,展示了唐山古冶5.1级地震影响的丰富信息和对相关研究的潜在推进作用。 相似文献
15.
台湾地震观测系统的发展与现状 总被引：2，自引：1，他引：1
台湾地处环太平洋地震带,在欧亚板块与菲律宾海板块相互碰撞作用下,地震活动强烈。为加强对台湾地区地震活动的监测工作,深入了解台湾地区的地震活动特性,减轻地震灾害,经过十几年的不断整合与建设,台湾地区已拥有“实时地震观测网”、“实时强地动观测网”、“自由场强震观测网”、“全球卫星定位系统GPS观测网”和“宽频地震网”,以及“强震预警系统”和“强震速报系统”等多套地震观测处理系统。为促进海峡两岸地震学界的深入认识和了解,增进两岸交流与合作,本文对台湾地区地震观测系统发展和现状做了较为详细的介绍。 相似文献
16.
Paolo Augliera Ezio D’Alema Simone Marzorati Marco Massa 《Bulletin of Earthquake Engineering》2010,8(5):1091-1104
The necessity of a dense network in Northern Italy started from the lack of available data after the occurrence of the 24th
November 2004, Ml 5.2, Salò earthquake. Since 2006, many efforts have been made by the INGV (Italian National Institute for Geophysic and Vulcanology), Department of Milano-Pavia (hereinafter INGV MI-PV), to improve the strong-motion monitoring of the Northern Italy regions.
This activity led to the installation of a strong-motion network composed by 20 accelerometers, 4 coupled with 20-bits Lennartz
Mars88 recorders, 12 coupled with 24-bits Reftek 130 recorders and 4 coupled with 24-bits Gaia2 recorders. The network allow
us to reduce, in the area under study, the average inter-distances between strong-motion stations from about 40 km (at November
2004) to 15 km. At present the network includes nine 6-channels stations where velocity sensors work together the strong-motion
ones. The data transmission is assured by modem-gsm, with the exception of four stations that send data in real time through
a TCP/IP protocol. In order to evaluate different site responses, the stations have been installed both in free field and
near (or inside) public buildings, located in the center of small villages. From June 2006 to December 2008 a dataset of 94
events with local magnitude range from 0.7 to 5.1 has been collected. An ad hoc data-processing system have been created in
order to provide, after each recorded event, engineering parameters such as peak ground acceleration (PGA) and velocity (PGV),
response spectra (SA and PSV), Arias and Housner intensities. Data dissemination is achieved through the web site , while the waveforms are distributed through the Italian strong motion database (). 相似文献
17.
Can Zulfikar Mustafa Erdik Erdal Safak Hikmet Biyikoglu Cagatay Kariptas 《Bulletin of Earthquake Engineering》2016,14(9):2565-2578
This paper describes a rapid response and risk mitigation system Istanbul Natural Gas Distribution Network Seismic Risk Reduction Project (IGRAS) for the Istanbul Natural Gas Network (IGDA?). Upon the trigger signal received from the earthquake early warning system in Istanbul, the real-time algorithm at IGRAS system district regulators checks the threshold levels of ground-motion parameters and interrupts the gas flow if any exceedance is detected. Then the system: (1) produces almost real-time earthquake hazard maps by using on-line strong-motion data from the strong-motion network in Istanbul: (2) estimates the distribution of damage to the natural gas network; and (3) transfers these damage distribution maps to stakeholders to enable dispatching rapid response teams to high damage areas. 相似文献
18.
J. Douglas 《Bulletin of Earthquake Engineering》2003,1(1):141-156
Some accelerograms are affected by non-standard recording and digitization problems that mean they are often not used in strong-motion
studies. These non-standard problems cannot be corrected by the standard processing techniques that remove low and high-frequency
noise from the time-history. Records from analogue instruments are more prone to these problems but even records from digital
instruments, which are becoming increasingly common, can be affected by such errors. Since all strong-motion data is valuable
it is important to know whether any useful information can be obtained from accelerograms that are affected by such problems.
This article examines whether strong-motion records from analogue instruments that are missing their initial part due to late
triggering of the instrument and also strong-motion records from digital instruments with low A/D converter resolution can
be used for response spectral studies. It is found, by simulating such errors on high-quality strong-motion records, that
good response spectral ordinates can be obtained from such `poor-quality' records within the period range of most engineering
interest.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
19.
20.
Elisa Zambonelli Rita de Nardis Luisa Filippi Mario Nicoletti Mauro Dolce 《Bulletin of Earthquake Engineering》2011,9(1):39-65
On April 6, 2009, the town of L’Aquila in the Abruzzo region (central Italy) was struck by a seismic event at 01:32 (UTC),
of magnitude MW = 6.3. The mainshock was followed by a long period of intense seismic activity and within seven days after the mainshock
there were seven events of magnitude MW ≥ 5 that occurred from April 6 to April 13. This long seismic sequence was characterized by a complex rupture mechanism that
involved two major normal faults of the central Apennines: the Paganica and the Gorzano faults. The strong-motions of the
mainshock were recorded by 64 stations of the Italian Strong-motion Network (RAN) operated by the National Civil Protection
Department (DPC). Six stations of a local strong-motion array were working in NW L’Aquila suburb area. One of them, located
at about 6 km from the Paganica fault surface tip-line, set up in trigger mode, recorded continuously for more than 20 min
the mainshock and the aftershocks. Besides the mainshock, the RAN stations recorded in total 78 foreshocks and aftershocks
of ML ≥ 3.5, during the period from January to December 2009. The corresponding waveforms provide the most extensive digital strong
ground motion data set ever recorded in Italy. Moreover, the 48 three-component observations of events of magnitude MW ≥ 5, recorded at a distance less than 15 km from each of the major involved faults, provide a significant increasing of near-field
records available for the Italian territory. Six days after the mainshock, the strong-motion dataset, referred to preliminary
locations of the events with ML ≥ 4.0, was made available on the DPC web site () and at the same time it was delivered to the ITACA database (). This dataset has been used by many authors in scientific papers and by engineers, geophysicists and geologists for professional
technical works. In this paper, the present-day available strong-motion signals from the L’Aquila sequence and the performance
of the Italian strong-motion network in terms of the number and quality of recorded data, the geometry and data transmission
system are described. In addition the role of the temporary network that represents an extension of the permanent Italian
strong-motion network, supporting the emergency response by civil protection authorities and improving the network coverage
has been evaluated. 相似文献