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1.
将一种新的方法——频率-贝塞尔变换法(F-Jmethod)应用于日本NIED在关东盆地布设的MeSO-net台网的背景噪声数据中,证明频率-贝塞尔变换法可以有效地从背景噪声中提取高阶频散曲线.利用提取的基阶和高阶频散曲线反演关东盆地区域的沉积层和地震基岩层的S波速度结构,并将我们反演得到的S波速度结构与Koketsu等提出的日本综合速度结构模型进行对比讨论.我们的例子证明,在基阶面波的基础上,高阶面波能减少在反演中的非唯一性,得到更为准确的S波速度结构.  相似文献   

2.
背景噪声频散曲线测定及其在华北地区的应用   总被引:4,自引:0,他引:4       下载免费PDF全文
房立华  吴建平 《地震学报》2009,31(5):544-554
利用华北地震台阵垂直分量的观测资料,采用滑动绝对平均方法对资料进行预处理,通过互相关方法从背景噪声中提取瑞利面波的格林函数,开发了群速度频散曲线的自动提取工具,测量了位于华北盆地、燕山隆起和太行山隆起的3条频散曲线,反演得到了3个区域的S波速度结构.研究分析表明,滑动绝对平均方法可以有效降低地震和台站附近干扰源的影响.为了得到可靠的层析成像结果,应计算格林函数的信噪比,选择高信噪比的格林函数测量其频散曲线,进行层析成像反演.当信噪比大于7时,一般都能得到稳定可靠的频散曲线.群速度频散曲线的最大可信周期(Tmax)与台站间距有关,华北地区最大可信周期以不超过台站间距的1/12为宜,周期大于Tmax时不同月份测得的频散曲线变化较大.   相似文献   

3.
获取准确的近地表横波速度对复杂地表条件下弹性波地震数据处理和成像非常重要.在浅层面波工程勘探中通过反演提取的频散曲线可以获得近地表横波速度结构.在多道面波频散曲线分析中,频散关系拾取的精度直接影响速度反演结果的可靠性.本文在多道面波叠加及自动拾取频散曲线基础上,提出了基于面波频散曲线聚类分析的近地表横波速度反演方法.该方法充分考虑了低信噪比条件下面波频散曲线的不确定性,通过在频散曲线拾取中引入曼哈顿距离K-Means聚类算法提高频散曲线拾取的准确性.采用多道多窗口叠加技术提高了面波反演对横向速度变化的适应性,通过聚类算法和多窗口叠加提高反演的可靠性,聚类算法获得较准确的频散曲线更利于后续横波速度反演过程.模拟数据算例对比表明本文提出的方法比常规算法效果更好,精度更高.将提出的方法应用于工程勘探和油气勘探的面波数据反演中,结果也验证了该方法的有效性.  相似文献   

4.
李建平 《地震学报》2018,40(1):24-31
浅层地震反射波法和面波方法是两种相互独立发展的地震勘探方法,在各自的数据采集和处理中,对方都是作为干扰信号而存在. 本文利用浅层地震反射资料中被视为干扰的面波信号,通过成熟的多道面波勘探技术处理浅层地震反射资料,在频率-波数域中提取多阶振型面波的频散曲线,并基于该曲线反演浅地表S波速度结构. 这种方法充分开发利用了已有数据,无需单独的面波数据采集系统,同时为解释浅层地震反射资料提供了额外的信息约束. 结果表明:浅层地震反射资料中可提取出可靠的多阶振型面波频散曲线,并能给出稳定的反演结果,同时,面波反演的多解性可以通过高阶振型反演得以进一步约束;低速层的存在是观测频散曲线出现振型跳跃或呈“之”字形回折的必要条件而非充分条件.   相似文献   

5.
土层剪切波速结构是工程场地条件的重要的基本参数,许多研究者关注利用从地脉动台阵中推得的Rayleigh波或Love波的相速度频散曲线反演实际工程场地剪切波速度结构。探讨从地脉动台阵观测的记录中提取Love波相速度的频散曲线的方法,从厦门某工程场地的地脉动台阵观测三分量记录中提取了Love波相速度的频散曲线,将提取的结果与根据实际场地资料构成的水平成层介质模型计算的Love波相速度的频散曲线进行了对比,为下一步的反演奠定了基础。  相似文献   

6.
频率-贝塞尔变换方法(Frequency-Bessel Transform method,简称F-J方法)是一种分析微动信号的新方法,由于该方法采用频率矢量波数变换处理水平层状各向同性弹性模型中时空平稳随机分布的微动信号,所以从理论上可以提取出清晰的瑞利波基阶和高阶模态频散曲线,但是目前还没有相关的野外实验对此进行研究和应用.本文首先采用该方法对上海市苏州河地区采集的城市微动信号进行处理获得了频率-相速度谱,然后提取了多模态瑞利波频散曲线,最后通过粒子群算法对频散曲线进行联合反演,得到了浅地表0~70 m深度范围的S波速度结构,并且利用钻孔数据对反演的速度结构进行了验证.另外,本文还通过对比F-J方法和传统的SPAC(SPatial AutoCorrelation method)方法分别提取的频散曲线,展示了F-J方法在处理城市微动信号方面的优势.本文研究结果表明:(1)F-J方法可以从少量台站(21个台站)短时记录(1小时)的微动信号垂直分量中提取出清晰的基阶和高阶模态瑞利波频散曲线;(2)F-J方法提取的高阶模态频散曲线比传统SPAC方法提取的更加清晰,高频部分(>13 Hz)优势更为明显;(3)联合基阶和高阶模态频散曲线反演的浅地表速度结构更加精确,可以分辨出第四系沉积层中物性相差较小的速度界面和低速异常,在城市浅地表精细结构成像方面具有较好的应用前景.  相似文献   

7.
李明明  何玉梅 《地震学报》2011,33(2):143-155
运用瑞雷面波相速度频散曲线分析和反演得到了华北克拉通东北部边界及其邻近区域岩石圈的精细S波速度结构.利用11个地震事件、60个台站的瑞雷面波波形资料,得到了周期从25-150 S的相速度频散曲线,并且通过线性反演方法得到了深度从40-300 km的S波速度结构.结果表明,该研究区域S波速度存在强烈的不均匀性.从东南部的...  相似文献   

8.
分布式声波传感(DAS)技术可以将现有城市通信光缆转化为密集宽频带地震观测系统,利用城市通信光缆进行主/被动源面波成像为城市浅地表结构成像和地下空间探测提供了新手段,具有广阔的应用前景.近年来大量研究表明,充分利用高阶面波信息能显著提升面波结构成像效果.为探索DAS记录中的高阶面波提取和利用的可行性,本文推导了适用于DAS系统地震记录提取多模式面波频散曲线的 MF-J变换公式,并成功应用于白家疃光纤实验的主动源观测数据,提取了多模式频散曲线并反演构建了研究区高分辨、高精度的横波速度结构剖面.研究结果表明,MF-J方法能有效地从DAS主动源记录中提取多模态频散曲线,并能去除传统 F-J方法中的交叉假频现象;基于多模式面波频散曲线反演的速度结构分辨率和置信度都明显优于只用基阶模态的反演.本文的研究结果揭示了利用城市通信光缆实现低成本高分辨率地下结构探测的可能性.  相似文献   

9.
多尺度阵列嵌套组合反演宾川气枪源区横波速度结构   总被引:1,自引:0,他引:1  
孙楠  潘磊  王伟涛  叶泵  王彬  陈晓非 《地球物理学报》2021,64(11):4012-4021
本文基于多尺度阵列嵌套组合的方式,利用频率-贝塞尔变换法(Frequency-Bessel,F-J方法)提取背景噪声面波频散信息,通过多个阵列融合的频散曲线反演得到宾川气枪发射台周边不同深度的横波速度结构.结果显示:浅层一阶面波频散信息的加入,使得基阶反演结果更加收敛,反演深度加深到8 km;深度在8 km以下的结构的研究利用多尺度阵列(密集台阵—宾川气枪台网—云南区域地震台网)嵌套组合的方式,面波基阶低频信息从0.55 Hz拓宽到0.008 Hz,使横波速度结构的反演深度显著增加,同时对反演过程提供约束,使得70 km深度以上的横波速度更收敛.由此本文所得的横波速度结构为该区地下结构的探测提供基础,多尺度阵列嵌套组合频散谱的研究方式也为以后区域结构的研究提供一种新的方法和思路.  相似文献   

10.
利用噪声记录估计福建地区中上地壳体波速度结构   总被引:1,自引:0,他引:1  
李军  金星  鲍挺  林树  韦永祥  张红才 《中国地震》2011,27(3):226-234
本文利用福建地震台网25个宽频带台站的噪声记录提取瑞利波和勒夫波频散曲线反演地壳波速结构,并利用爆破观测结果对该速度模型进行检验.结果表明:利用该方法得到的地壳波速结构在浅部分辨率较好,深部波速结构的反演结果精度较低,这主要是由于本文所选台站间距较小,提取得到的面波频散曲线在短周期部分精度较高,而长周期部分面波频散曲线的偏差较大.综合噪声反演结果与传统反演结果,本文最终给出了一个新的速度模型,利用该模型计算得到的理论走时与爆破观测走时具有很好的一致性.  相似文献   

11.
天然源面波勘探台阵对比试验   总被引:4,自引:0,他引:4       下载免费PDF全文
为了对比天然源面波勘探不同台阵布局的探测效果, 筛选出探测成果可靠、 效率高和便于野外施工的天然源面波勘探台阵阵形, 在天水市黄土覆盖区的同一场地分别用4种常见的阵形进行数据采集试验, 并对各种阵形数据使用空间自相关法或扩展空间自相关法提取相应的频散曲线, 通过反演得到了试验点地下的浅层速度结构模型. 分析对比试验结果表明: 4种台阵提取的频散曲线数值很相近; 频散谱能量集中度较高的是嵌套式等边三角形和圆形台阵, L形和直线形台阵相对分散; L形台阵低频段(4—8 Hz)比直线形台阵差, 其高频段(8—40 Hz)比直线形台阵好. 针对直线形台阵在高频段信噪比较低的情况, 在确保探测成果可靠性的前提下, 为了提高探测效率, 提出了在同一直线形台阵开展天然源与人工源面波联合勘探的数据采集方法. 实验结果证实, 这种联合勘探方法不仅可弥补直线形台阵高频段的不足, 确保探测精度和结果的可靠性, 而且还能实现“高低”频兼顾, 即“深浅”兼顾.   相似文献   

12.
The subsurface shear-wave velocity (Vs) is considered to be a key parameter for site characterization and assessment of earthquake hazard because of its great influence on local ground-motion amplification. Array microtremor measurements are widely used for the estimation of shear-wave velocities. Compared to other methods such as frequency-wavenumber (f-k) methods, the spatial autocorrelation (SPAC) method requires fewer sensors and thus is relatively easier to implement and gives robust estimations of shear-wave velocity profiles for depths down to a few hundred meters. The quantity derived from observed data is the SPAC coefficient, which is a function of correlation distance, frequency and phase velocity. Generally, estimation of Vs profiles is a two stage process: Estimation of the dispersion data from the SPAC coefficients and inversion of the dispersion data for shear-wave velocity structure. In this study, instead of inverting dispersion curves, a more practical approach is used; that is, observed SPAC coefficients are directly inverted for the S-wave velocities. A synthetic case and a field data application are presented to test the potential of the inversion algorithm. We obtain an iterative damped least-squares solution with differential smoothing. The differential smoothing approach constrains the change in shear-wave velocities of the adjacent layers and thus stabilizes the inversion.  相似文献   

13.
We present the results of the analysis of array recorded microtremors at 14 sites, close to the edges of the Mygdonian basin in northern Greece (Euroseistest). These measurements were made in order to better constrain the geometry and velocity structure of the basin as the soil layers taper out close to rock outcrop, where geology is complex and we may expect significant changes of the subsoil structure over short distances. The data were analysed using the SPAC method and HVSR. The first interprets the measurements as Rayleigh waves (for the vertical component we analysed) and allows to invert a phase velocity dispersion curve from computed correlation coefficients. The second estimates a local transfer function directly, from ratios of Fourier amplitude spectra. A phase velocity dispersion curve could be derived for 12 of the 14 measurement sites, and at three of the sites no resonant frequency was observed in the HVSR. It is encouraging that we obtained good results at most of our sites, in spite of the lateral heterogeneity expected close to the edges of Euroseistest. Our results allow us to obtain shear wave velocity models at most of the measurement sites (12 out of 14). They are also useful to explore the relation between size of the array and wavelength range for which a dispersion curve may be estimated, which in our case has strong limitations. We identify the frequency of resonance of the sediments as a small loss of coherency in SPAC’s correlation coefficients. Finally, we also consider the applicability of the joint inversion of the resonance frequency determined using HVSR and the phase velocity dispersion curve obtained from SPAC.  相似文献   

14.
Ambient seismic noise or microtremor observations used in spatial auto-correlation (SPAC) array methods consist of a wide frequency range of surface waves from the frequency of about 0.1 Hz to several tens of Hz. The wavelengths (and hence depth sensitivity of such surface waves) allow determination of the site S-wave velocity model from a depth of 1 or 2 m down to a maximum of several kilometres; it is a passive seismic method using only ambient noise as the energy source. Application usually uses a 2D seismic array with a small number of seismometers (generally between 2 and 15) to estimate the phase velocity dispersion curve and hence the S-wave velocity depth profile for the site. A large number of methods have been proposed and used to estimate the dispersion curve; SPAC is the one of the oldest and the most commonly used methods due to its versatility and minimal instrumentation requirements. We show that direct fitting of observed and model SPAC spectra generally gives a superior bandwidth of useable data than does the more common approach of inversion after the intermediate step of constructing an observed dispersion curve. Current case histories demonstrate the method with a range of array types including two-station arrays, L-shaped multi-station arrays, triangular and circular arrays. Array sizes from a few metres to several-km in diameter have been successfully deployed in sites ranging from downtown urban settings to rural and remote desert sites. A fundamental requirement of the method is the ability to average wave propagation over a range of azimuths; this can be achieved with either or both of the wave sources being widely distributed in azimuth, and the use of a 2D array sampling the wave field over a range of azimuths. Several variants of the method extend its applicability to under-sampled data from sparse arrays, the complexity of multiple-mode propagation of energy, and the problem of precise estimation where array geometry departs from an ideal regular array. We find that sparse nested triangular arrays are generally sufficient, and the use of high-density circular arrays is unlikely to be cost-effective in routine applications. We recommend that passive seismic arrays should be the method of first choice when characterizing average S-wave velocity to a depth of 30 m (Vs30) and deeper, with active seismic methods such as multichannel analysis of surface waves (MASW) being a complementary method for use if and when conditions so require. The use of computer inversion methodology allows estimation of not only the S-wave velocity profile but also parameter uncertainties in terms of layer thickness and velocity. The coupling of SPAC methods with horizontal/vertical particle motion spectral ratio analysis generally allows use of lower frequency data, with consequent resolution of deeper layers than is possible with SPAC alone. Considering its non-invasive methodology, logistical flexibility, simplicity, applicability, and stability, the SPAC method and its various modified extensions will play an increasingly important role in site effect evaluation. The paper summarizes the fundamental theory of the SPAC method, reviews recent developments, and offers recommendations for future blind studies.  相似文献   

15.
利用SPAC法估算地壳S波速度结构   总被引:4,自引:3,他引:1       下载免费PDF全文
S波速度结构能够反映地球介质的物性差异,是地壳内低速区结构特征判别的重要依据.本文尝试利用空间自相关法(SPAC法)从地震台站微动信号的垂直分量中提取瑞利波相速度频散曲线,通过对频散曲线的反演获得地下介质的S波速度结构.以国家数字测震台网8个宽频带地震台站的实测微动数据为例,采用SPAC方法获得了首都圈地区北京附近约30 km 深度范围内的一维S波速度结构.结果表明,该区结晶基底埋深较浅约2 km;分别在5~8 km 和12~16 km 深处发育S波低速层;8 km 和 20 km 处是S波速度差异较大的速度分界面.这一结果与以往地震学及人工地震探测结果较为吻合,表明SPAC法估算地壳S波速度结构是可行、有效的.  相似文献   

16.
利用微动进行勘探无需振动源,方便快捷、对环境没有干扰,是一种很有发展前景的勘探方法。针对微动探测数据处理的需求,开发研制了一套可视化微动探测处理分析软件系统MSMSPAC。该软件采用C~#语言开发,主要功能包括台阵设计、台阵方位角分布分析、数据格式转换、微动有效数据段挑选、数据滤波、重采样、参数计算及频散曲线提取、编辑、合并、项目管理等功能。软件系统界面友好,操作简便。  相似文献   

17.
为充分利用微动信号中基阶和高阶模式瑞雷波,本文研究了基于多阶瑞雷波SPAC系数直接反演的方法.该方法首先基于地层介质响应计算多阶瑞雷波的能量占比,考虑实际观测台阵有限台站个数对SPAC系数影响,正演计算多阶瑞雷波SPAC系数,再采用快速模拟退火算法对其反演以获得地下介质横波速度结构.在此基础上,本文通过数值模拟验证该方法的可靠性,分别选取三种典型地质模型,基于模式叠加算法合成理论微动信号,采用本文方法计算其理论多阶瑞雷波SPAC系数并反演,给出反演结果与真实模型对比.我们将该方法应用于上海中心城区的地质调查中,通过与钻探结果对比,进一步验证该方法的有效性.本文理论与实际应用研究表明,基于多阶瑞雷波SPAC系数直接反演的微动探测方法有助于提高反演结果的可靠性,尤其对含软硬夹层的复杂地层介质,可提高探测精度.  相似文献   

18.
The wavefield produced by the Stromboli volcano explosion quakes shows a significant amount of surface waves. Rayleigh waves recorded by a linear array have been investigated to infer the shear-wave velocity model of the Stromboli northern flank. The group velocity dispersion curve was obtained using the multiple filter technique, while the phase velocity dispersion curve was calculated both by phase-matched filtering and performing a p– stack on the observed waveforms. Through the inversion of these curves we were able to recover the shear-wave structure to a depth of about 190 m.  相似文献   

19.
The 3D structure of the Mygdonian sedimentary basin (N. Greece) is investigated. The aim of this study is to propose a 3D model of this sedimentary structure that can later be used to model the seismic records currently being obtained by the permanent accelerograph network operating in the area. This model builds on previous efforts and incorporates new data. The geometry and dynamic properties of the soil layers were inverted using data from microtremor array measurements, seismic refraction profiles, boreholes, and geotechnical investigations. Phase-velocity dispersion curves of Rayleigh waves were determined at 27 sites in the basin using the spatial autocorrelation method (SPAC) introduced by Aki [1]. S-wave velocity profiles were inverted from these dispersion curves and the whole valley structure was interpolated using our new results and all previously available data. The proposed 3D model describes the geometry and shear-wave velocities of the Mygdonian and pre-Mygdonian sedimentary systems, and the top bedrock surface. Our results indicate that this 3D model correctly reflects the geometry and dynamic properties of the sedimentary layers. The case of Euroseistest, where the subsoil structure is the result of bringing together many disparate data, could be used as an example for similar alluvial basins throughout the world, where usually only scarce data is available.  相似文献   

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