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1.
安徽地区地震波衰减、场地响应及震源新参数的测定   总被引:5,自引:2,他引:5  
根据安徽数字地震台网7个地震台的143条波形资料,研究了安徽地区的衰减模型和各台站的场地响应。采用三段几何衰减模型拟合,得到了安徽及邻近地区的几何衰减函数,得到安徽地区非弹性衰减Q值随频率f的关系为Q(f)=235.3×f0.616;7个台站的场地响应均无明显的放大效应,这与它们均处于岩石地基相符;并在本地区地震预测研究中尝试使用新参数,进行了初步的应用。  相似文献   

2.
宁夏及邻区地震动衰减和场地响应的分区研究   总被引:1,自引:0,他引:1  
根据宁夏数字地震台网19个地震台的294条波形资料,研究宁夏南区及北区的衰减模型和各台站的场地响应。采用三段几何衰减模型拟合,得到宁夏南区和北区非弹性衰减Q值随频率f的关系分别为:Q(f)=503.92f^0.32和Q(f)=267.6f^0.580;19个台站的场地响应除泾源地震台外,其余台站没有显示出明显的放大效应,与实际情况基本相符。  相似文献   

3.
青藏高原东北缘地区非弹性衰减Q值和场地响应的研究   总被引:1,自引:0,他引:1  
根据甘肃数字地震台网21个子台的437条波形记录,采用三段几何衰减模型,利用Atkinson方法和遗传算法,研究了青藏高原东北缘地区的非弹性衰减Q值和各台站的场地响应,得到该地区非弹性衰减Q值与频率f的关系为:Q(f)=564.7f 0.3;21个子台中,除了武都、合作、湟源、定西和迭部等台的场地响应总体上没有放大效应以外,其余台站均存在较明显的放大效应.  相似文献   

4.
根据2007-2013年广西数字测震台网21个地震台的665条波形资料,运用三段几何衰减模型,采用Akinson方法多台多地震联合反演,得到广西地区非弹性衰减Q值,利用Moya方法进行台站的场地响应测算.结果表明:广西地区非弹性衰减Q值和频率f线性关系较好,Q(f)=366.3f0.47;其中10个台站的场地响应在1附近,且随频率变化波动小;百色、桂林、梧州地震台场地响应随着高频增加而缓慢降低;钦州地震台低频部分较为平坦,高频部分有较为明显的放大效应;河池地震台低频部分较为平坦,在频率7 Hz以上快速下降;南宁地震台仪器通带范围的能量场地响应有明显的放大效应.  相似文献   

5.
川西北地区介质衰减特征研究   总被引:2,自引:0,他引:2  
根据成都数字地震台网8个台站记录的21个地震的波形记录,利用遗传算法,采用三段几何衰减模型拟合,得到川西北地区介质的几何衰减函数,非弹性衰减因子Q值随频率的关系为:Q(f)=334·4×f0·581,并将该文结果与其他地区计算结果进行比较和分析。  相似文献   

6.
中小地震震源参数的求解及其相似关系   总被引:15,自引:2,他引:13  
根据广东数字地震台网记录的区域性地震记录,利用遗传算法采用由"三段几何衰减模型"拟合得到的广东地区的衰减模型,得到广东地区Q值与频率的关系(Q(f)=454 8f0 37),由此衰减模型反演得到各台站的场地响应,最终得到72个中小地震的震源参数;并研究了广东地区震源参数的特征及其相似关系。这些地震的地震矩在1012N·m与1014N·m之间,求出与地方震震级之间的相似关系;该地区中小地震的应力降在0 02到3 2MPa之间,未显示与地震的规模(地震矩)有明显的依赖关系。  相似文献   

7.
兰州市及其附近地区介质衰减特征研究   总被引:1,自引:0,他引:1       下载免费PDF全文
根据兰州临时微震台网的数字化微震记录,采用三段几何衰减模型拟合,利用Atkinson方法和遗传算法,得到兰州市及其附近地区介质的几何衰减函数,非弹性衰减Q值随频率的关系为Q(f)=45.1f1.488。并对研究结果对比其他地区进行了分析讨论。  相似文献   

8.
利用新疆数字地震台网记录的15个台站的720条地震波形资料,用Atkinson方法联合反演得到南天山西段Q值随频率f的关系式为Q(f)=313.4f0.548;在400 km的震源距范围内,研究区地震波的几何衰减满足三段衰减模型;研究区的Q值小于天山中东段、北天山和柯坪地区的Q值,说明该区域构造活动强烈。其次根据S波衰减记录得到观测振幅谱,采用Moya遗传算法得到了新疆南天山西段15个台站的场地响应。结果显示,大多数台站的场地响应在1附近,西克尔台(XKR)、塔什库尔干台(TAG)、乌什台(WUS)和神木园台(SMY)的场地响应在1~4 Hz之间均大于2,表现出一定的放大效应,岳普湖台(YPH)呈现余弦波动,可能与台基岩性和仪器的工作状态有关。区域的选择对台站场地相应计算结果影响不大。  相似文献   

9.
根据山西数字地震台网14个地震台的310条波形资料,研究了山西地区的非弹性衰减系数;采用Atkinson和Moya方法,研究了各台的场地响应和几种震源参数,并对这两种方法的反演结果进行了对比分析. 得到山西地区非弹性衰减Q值随频率f的关系为Q(f)=323.2f 0.506;得到的14个台站的场地响应均没有显示出明显的放大效应,这与山西台站均处于岩石地基相符;得到了拐角频率与地震矩、地震矩与应力降、震源半径与应力降之间存在依赖关系.   相似文献   

10.
利用河北测震数字台网2009年1月-2015年5月记录到的169个ML≥2.5地震(含山区和平原)4 180条波形资料,将河北(含北京、天津)及邻近地区作为研究区域,根据地形及地质构造将研究区域分为山区和平原两个区,采用三段几何衰减模型,用Atkinson(1992)方法计算各自的Q值,得到山区和平原的非弹性衰减Q随频率变化的关系式分别为:Q(f)=474.8f0.3589,Q(f)=294.5f0.5193,并与已有的结果进行对比。在此基础上,利用Moya(2000)方法进行震源谱和场地响应的联合反演,得到了93个基岩台、58个井下台的场地响应,基岩台的场地响应随频率的变化较为复杂。不同类型的基岩台场地响应绝大多数无明显的一致性特征;井下台站的场地响应随频率变化的形态基本一致,在低频段(1~7 Hz)表现为放大作用,在高频段(7~20 Hz)表现为衰减效应。  相似文献   

11.
利用紫坪铺水库数字地震台网和成都区域数字台网中的油榨坪台2004年8月到2008年5月12日汶川大地震前的紫坪铺库区2级以上地震波形资料,采用Atkinson方法计算了紫坪铺水库库区地震波非弹性衰减系数、几何扩散系数和介质品质因子;利用Moya等提出的方法计算了台站场地响应;对震源谱的低频水平和拐角频率进行了联合反演,并计算了紫坪铺库区287次1.6级以上地震的震源波谱参数,同时讨论了它们之间的关系。结果表明:紫坪铺库区Q值与频率的关系为Q(f)=47.8×f0.91;场地响应均表现为与频率相关;紫坪铺库区小震地震矩、震级与震源谱拐角频率的依赖关系不明确,这可能与水库诱发地震有关  相似文献   

12.
The best known model for numerically simulating the hysteretic behavior of various structural components is the bilinear hysteretic system. There are two possible mechanical formulations that correspond to the same bilinear model from a mathematical viewpoint. The first one consists of a linear elastic spring connected in series with a parallel system comprising a plastic slider and a linear elastic spring, while the second one comprises a linear elastic spring connected in parallel with an elastic-perfectly plastic system. However, the bilinear hysteretic model is unable to describe either softening or hardening effects in these components. In order to account for this, the bilinear model is extended to a trilinear one. Thus, two trilinear hysteretic models are developed and numerically tested, and the analysis shows that both exhibit three plastic phases. More specifically, the first system exhibits one elastic phase, while the second one exhibits two elastic phases according to the level of strain amplitude. Next, the change of slope between the plastic phases in unloading does not occur at the same displacement level in the two models. Furthermore, the dissipated energy per cycle in the first trilinear model, as proven mathematically and explained physically, decreases in the case of hardening and increases in the case of softening, while in the second trilinear model the dissipated energy per cycle remains unchanged, as is the case with the bilinear model. Numerical examples are presented to quantify the aforementioned observations made in reference to the mechanical behavior of the two trilinear hysteretic models. Finally, a set of cyclic shear tests over a wide range of strain amplitudes on a high damping rubber bearing is used in the parameter identification of the two different systems, namely (a) trilinear hysteretic models of the first type connected in parallel, and (b) trilinear hysteretic models of the second type also connected in parallel. The results show that the complex nonlinear shear behavior of high damping rubber bearings can be correctly simulated by a parallel system which consists of only one component, namely the trilinear hysteretic system of the first type. The second parallel system was not able to describe the enlargement of the dissipated hysteresis area for large strain amplitudes.  相似文献   

13.
The attenuation characteristics and site response are calculated respectively for each individual tectonic unit in Sichuan (Sichuan Basin,west Sichuan plateau and Panzhihua-Xichang area),using digital waveform data recorded by regional seismic networks and relevant seismic phase data collected from China Seismograph Network.The frequency dependent Q(f) is obtained by the iterative grid-search technique described by Atkinson and Mereu based on trilinear geometrical spreading model.The source spectra are determined by the model of Brune and the site responses of seismic stations are derived by Moya's method using genetic algorithms.Comparison to conventional ML estimates shows that the network local magnitude bias is quite significant at low and intermediate magnitudes.The bias at the jth station for the ith event is defined as ΔMij=Mij-Mi, where ΔMij is the station magnitude and Mi the network-average value.For comparison,we mapped the spatial distribution of biases by digital seismograms recorded from 10535 earthquakes of magnitude 2.5≤ML≤4.9 that occurred in Sichuan from January 1,2009 to June 30,2015.Based on the above data,the attenuation characteristics,site response and their effects on magnitude determination in Sichuan are analyzed.Our results demonstrate that the associated model for regional quality factor for frequencies can be expressed as Q1(f)=450.6f0.513 4 for Sichuan Basin,Q2(f)=136.6f0.581 3 for west Sichuan Plateau and Q3(f)=101.9f0.666 3 for Panzhihua-Xichang area.Site response results indicate that different stations show different amplifications.Maps of biases appear to be different,but with similar dominant spatial distribution.For stations in Sichuan Basin,their greater magnitudes are functions of low attenuation in structure and amplification effects of both seismic stations and basin effects.For stations in west Sichuan Plateau,the possible causes of these lower magnitudes are severe dependence upon source region due to extreme lateral variations in either structure or path effect attenuation.For stations in Panzhihua-Xichang area,broken medium caused by strong tectonic activity or large earthquakes and heat flow up-welling along active faults may be the main reasons of low magnitude values when earthquakes occur in western Sichuan and eastern Tibetan region.And the greater magnitudes for earthquakes along the Longmen Mountains appear to be well correlated with edge effect of sedimentary basin on strong ground motion.In our study,stations magnitude biases appear to be extremely correlated with tectonic structures and different regions when seismic rays passing through,magnitudes are affected significantly by lateral variations in attenuation characters rather than site responses.  相似文献   

14.
By introducing a residual geometrical spreading factor, a new model was proposed in recent papers of Morozov to improve the estimates of seismic Q, and some published seismic Q observations were reinterpreted under the framework of the new model. We found that in these papers the definitions about the residual geometrical spreading and seismic scattering attenuation were conceptually confusing, and physically impossible negative values of seismic Q may arise in the new model. We argue that the estimates of the residual geometrical spreading in the new model are influenced by seismic scattering. Thus, the correlation between the residual geometrical spreading and tectonic activity, and the observation of temporal variations of the residual geometrical spreading and apparent attenuation, as reported by Morozov, are not surprising.  相似文献   

15.
Strong ground motion prediction based on finite-fault simulation requires the identification of the fault (strike, dip, length and width), source kinematics parameters (stress drop, rupture velocity and slip distribution), regional crustal properties (geometrical spreading, anelastic structure, and upper crustal amplification and attenuation parameters) and the determination of amplification effects due to the local site geology. The general purpose of this study is to understand source and attenuation properties in the Azores, by the determination of stress drop, quality factor and kappa, through records obtained by the Portuguese digital seismic and accelerometer network. Source Spectra were obtained, for each record, after correcting observed spectra from geometrical spreading and anelastic attenuation effect: quality factor was estimated based on coda decay in the time domain and the kappa parameter was estimated by fitting the high-frequency decay of the acceleration spectrum with a straight line in a log-linear scale. Mean stress drop value was obtained considering that ω-squared model for the source spectra prevails. Parameters kappa, k, and quality factor, Q, have been estimated to be k = (0.075 ± 0.02)s and \(Q(f) = (76 \pm 11)f^{0.69 \pm 0.09}\), respectively. A mean value of stress drop was estimated to be around 90–130 bars for the earthquakes in analysis. The knowledge of source and path parameters, in association with other ground motion parameters, allows improving ground-motion estimates for the Azores and, consequently, will lead to more accurate seismic hazard assessment for the Azores and better characterization of seismic scenarios.  相似文献   

16.
胡岩松  陈友麟  刘瑞丰  刘伟 《地震学报》2022,44(6):1019-1034
对Lg波衰减模型中建模误差的统计特征进行了系统研究,并建立了地壳二维Lg波衰减模型。由于Lg波振幅可能受到几何扩散函数的强烈影响,合理评估反演过程的误差对于能否使用最小二乘意义下的反演非常重要。通过在川滇及其邻近地区收集的建模误差样本,使用K-S数值检验方法、Q-Q图和正态分布图形检验方法对Lg波衰减层析成像反演的输入数据中建模误差的分布特征进行了统计分析。采用奇异值分解(SVD)和反投影方法,分别获得了川滇地区的QLg模型,定量计算模型的协方差矩阵和分辨率矩阵,定量评估了QLg模型中每个格点的分辨率和误差。结果表明:在一阶近似条件下建模误差服从正态分布;通过开发的数据筛选程序,可以产生一个接近完美正态分布的数据集;与反投影方法相比,利用SVD方法获得的地壳Q值的分辨率更高;在射线覆盖较好的区域,QLg模型的分辨率达到100 km,相对误差小于3%。   相似文献   

17.
It gradually becomes a common work using large seismic wave data to obtain source parameters, such as seismic moment, break radius, stress drop, with completingof digital seismic network in China (Hough, et al, 1999; Bindi, et al, 2001). These parameters are useful on earthquake prediction and seismic hazard analysis.Although the computation methods of source parameters are simple in principle and the many research works have been done, it is not easy to obtain the parameters accurately. There are two factors affecting the stability of computation results. The first one is the effect of spread path and site respond on signal. According to the research results, there are different geometrical spreading coefficients on different epicenter distance. The better method is to introduce trilinear geometrical spreading model (Atkinson, Mereu, 1992; Atkinson, Boore, 1995; WONG, et al, 2002). In addition, traditional site respond is estimated by comparing with rock station, such as linear inversion method (Andrews, 1982), but the comparative estimation will introduce some errors when selecting different stations. Some recent research results show that site respond is not flat for rock station (Moya, et al, 2000; ZHANG,. et al, 2001; JIN, et al, 2000; Dutta, et al, 2001). The second factor is to obtain low-frequency level and corner frequency fromdisplacement spectrum. Because the source spectrum model is nonlinear function,these values are obtained by eye. The subjectivity is strong. The small change of corner frequency will affect significantly the result of stress drop.  相似文献   

18.
山东地区地震动衰减和场地响应的研究   总被引:3,自引:0,他引:3  
采用Atkirlsorl方法,基于遗传算法反演山东地区非弹性衰减Q值,在此基础上利用Moya等方法进行了台站的场地响应的测算。数据分析使用的是山东数字地震台网最早正式运行的8个数字台站记录的所有地震,采用信噪比方法挑选出质量较高的16次地震,对记录谱进行路径校正后参与计算得到每个台站的场地响应值。研究结果表明:在所研究的频率范围内非弹性衰减Q值和频率f有很好的线性关系,Q(f)9=297.4f^0.558;8个数字地震台中的7个基岩台均没显示出明显的放大作用。1个井下摆台站场地响应在高频部分衰减很快。  相似文献   

19.
山东数字地震台站场地响应估算   总被引:1,自引:0,他引:1  
为了建立山东省数字地震台站场地响应数据库,选取山东区域数字地震台网自2009年4月至2012年1月记录的ML≥2.5地震事件,通过信噪比方法挑选出质量较高的86次地震,采用互相衔接的三段几何衰减模型,基于遗传算法,利用Moya等方法对山东省36个地震台站进行场地响应测算.其中35个台站未显示明显的放大作用,聊城台场地响应变化起伏较大,高频部分放大明显,烟台、招远、即墨、五连、菏泽台场地响应总体表现出一定衰减作用.  相似文献   

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