渤深6地区高精度处理技术

渤深6探区高精度处理的目标带是T6以下的深层,由于这些地层埋藏较深且存在潜山、断裂带等复杂构造,造成深层能量较弱,成像困难.在该区块的高精度处理过程中应用能量补偿、频率控制、速度拾取、噪音衰减、剩余静校正等关键技术,解决了反射信号弱、分辨率低、信噪比低的问题,取得了较好的成像效果.     

如何确定对场地地震危险性贡献量最大的潜在震源区

分别以北京市清河镇和密云水库大坝邻近地区作为场地,讨论了贡献量最大潜在震源区的确定问题。对于北京市清河镇场地,不同周期下对场地贡献量最大的潜在震源区都是北京潜在震源区;但对于密云水库大坝邻近地区,在年超越概率小于1-00E- 2 条件下,短周期( T= 0-1s) 时对场地贡献量最大的潜在震源区是怀柔潜在震源区,而长周期( T= 1-0s) 时对场地贡献量最大的潜在震源区是夏垫潜在震源区。这种变化说明近源在短周期时所起作用较为明显,而远源对长周期部分的贡献量增大。区分不同周期下贡献量最大的潜在震源区,对于确定期望地震或设定地震以及计算场地地震动持续时间等参数是重要的     

雷达波有限元仿真模拟

为了突出雷达波自身的动力学特点,本文首先用Ｇａｌｅｒｋｉｎ’ｓ方法推导了含衰减项的雷达波有限元方程,用有限元方法实现了管状体、弯曲界面等复杂形体的雷达波场的仿真模拟．通过对比同一模型合衰减和不含衰减两种情况的波场,明显地展示了考虑雷达波自身特点后的波场仿真性较好．     

单台Lg尾波Q_(Lg)~c的测量研究

将单台记录叠加频谱比法（简称SSR法）应用于震中距小于500km的区域地震Lg尾波为lHz下的值,n是与频率f有关的指数）的提取之中·为了检验方法的稳定性和可靠性,我们选用两组发生在不同地区的地震记录．一组是1989-10-18大同主震（ML＝5．9）的15个余震,北京遥测地震台网记录到的信噪比较高的Lg尾波序列。另一组是秦岭造山带数字流动地震观测台网记录到的1995年甘肃平凉两次地震信噪比较高的Lg尾波序列．每一组地震的震源参数基本相同,即它们到某一特定台站的路径几乎相同,得到的　可以认为是不受震源影响的地震一台站路径上的平均衰减效应·两区域　的测量结果表明：（1）尽管两个地震观测台网所用观测仪器不同,每个台站的观测条件不同,所记录的地震也不尽相同,但对Q_0和,的拟合结果线性程度都比较高,说明SSR法是稳定的;（2）同一震群的不同地震到某一特定台站测得的结果基本一致,即Q_0值及其平均值大都在其标准差范围之内,说明SSR法是可靠的。（3）对同一地震不同方位各台站的Lg尾波测量结果可以看出,穿过不同构造区的Q_0值存在明显差异,如果这些差异可以看作是构造上横向差异的表现,那么,如果选择方位分布好的一定数量的地震,而记录台站在研究区又具有合适分布,利用这些观测得到的     

Inelastic Attenuation of Seismic Wave and Site Response near the Xiaowan Reservoir

Based on digital seismograms recorded by 11 stations of the Xiaowan Reservoir-induced Earthquake Monitoring Network from May 21, 2005 to September 2006, we calculated the inelastic attenuation near Xiaowan reservoir using Atkinson method. We got the relation of Q value to frequency as Q（f） = 225.8 f^0332. Using the Moya method we got the site response of the 11 stations of Xiaowan Network and source parameters of 43 earthquakes. The source parameters were discussed briefly.     

Ground motion attenuation relation for small to moderate earthquakes in Fujian region, China

We collect 1974 broad-band velocity records of 94 earthquakes (ML=2.8~4.9, △=13~462 km) from seven stations of the Fujian Seismic Network from March 1999 to March 2007. Using real-time simulation, we obtain the corresponding acceleration and then adopt different models to analyze the seismic data. As a result, a new attenuation relationship between PGA and PGV of the small and moderate earthquakes on bedrock site in Fujian region is established. The Yongchun earthquake occurred recently verifies the attenuation relationship well. This paper provides a new approach for studying the ground motion attenuation relationship using velocity records.     

Copula joint function and its application in probability seismic hazard analysis

A mature mathematical technique called copula joint function is introduced in this paper, which is commonly used in the financial risk analysis to estimate uncertainty. The joint function is generalized to the n-dimensional Frank’s copula. In addition, we adopt two attenuation models proposed by YU and Boore et al, respectively, and construct a two-dimensional copula joint probabilistic function as an example to illustrate the uncertainty treatment at low probability. The results show that copula joint func...     

地铁交通对某实验楼的环境振动的模拟分析

在地铁隧道附近,对于环境振动要求较高的特殊建筑物和精密仪器,地铁列车走行时引起的振动影响不容忽视。基于动力反应分析理论,通过建立有限元模型,并以实际测得的列车走行时地铁和轻轨在路基附近的加速度波形作为振动输入,模拟分析了正在规划修建的北京地铁8号线开通后将对附近某实验大楼内仪器可能造成的振动影响,同时对实验楼附近地铁振动的衰减规律进行了初步分析,为实验楼和仪器台是否应采取避振措施提供了参考依据。     

渗透系数衰减时矿坑涌水量与开采深度的关系

给出了在岩石渗透性随深度衰减条件下,二维稳定流巷道涌水量的解析解。对巷道涌水量与巷道位置深度的关系,不同水平巷道涌水量以及矿坑总涌水量随开采深度的变化关系进行了理论分析。最后用平顶山矿突水资料进行了验证。      

A compound method for random noise attenuation

Random noise attenuation, preserving the events and weak features by improving signal‐to‐noise ratio and resolution of seismic data are the most important issues in geophysics. To achieve this objective, we proposed a novel seismic random noise attenuation method by building a compound algorithm. The proposed method combines sparsity prior regularization based on shearlet transform and anisotropic variational regularization. The anisotropic variational regularization which is based on the linear combination of weighted anisotropic total variation and anisotropic second‐order total variation attenuates noises while preserving the events of seismic data and it effectively avoids the fine‐scale artefacts due to shearlets from the restored seismic data. The proposed method is formulated as a convex optimization problem and the split Bregman iteration is applied to solve the optimization problem. To verify the effectiveness of the proposed method, we test it on several synthetic seismic datasets and real datasets. Compared with three methods (the linear combination of weighted anisotropic total variation and anisotropic second‐order total variation, shearlets and shearlet‐based weighted anisotropic total variation), the numerical experiments indicate that the proposed method attenuates random noises while alleviating artefact and preserving events and features of seismic data. The obtained result also confirms that the proposed method improves the signal‐to‐noise ratio.