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首页> 外文期刊>Pure and Applied Geophysics >Determination of Q β(f) in Different Parts of Kumaon Himalaya from the Inversion of Spectral Acceleration Data
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Determination of Q β(f) in Different Parts of Kumaon Himalaya from the Inversion of Spectral Acceleration Data

机译：利用光谱加速度数据反演确定喜玛拉雅喜马拉雅山不同部位的Qβ（f）

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摘要

This paper presents the results of a modified two-step inversion algorithm approach to find S wave quality factor Q β(f) given by Joshi (Bull Seis Soc Am 96:2165–2180, 2006). Seismic moment is calculated from the source displacement spectra of the S wave using both horizontal components. Average value of seismic moment computed from two horizontal components recorded at several stations is used as an input to the first part of inversion together with the spectra of S phase in the acceleration record. Several values of the corner frequency have been selected iteratively and are used as inputs to the inversion algorithm. Solution corresponding to minimum root mean square error (RMSE) is used for obtaining the final estimate of Q β(f) relation. The estimates of seismic moment, corner frequency and Q β(f) from the first part of inversion are further used for obtaining the residual of theoretical and observed source spectra which are treated as site amplification terms. The acceleration record corrected for the site amplification term is used for determination of seismic moment from source spectra by using Q β(f) obtained from first part of inversion. Corrected acceleration record and new estimate of seismic moment are used as inputs to the second part of the inversion scheme which is similar to the first part except for use of input data. The final outcome from this part of inversion is a new Q β(f) relation together with known values of seismic moment and corner frequency of each input. The process of two-step inversion is repeated for this new estimate of seismic moment and goes on until minimum RMSE is obtained which gives final estimate of Q β(f) at each station and corner frequency of input events. The Pithoragarh district in the state of Uttarakhand in India lies in the border region of India and Nepal and is part of the seismically active Kumaon Himalaya zone. A network of eight strong motion recorders has been installed in this region since March, 2006. In this study we have analyzed data from 18 local events recorded between March, 2006 and October, 2010 at various stations. These events have been located using HYPO71 and data has been used to obtain frequency-dependent shear-wave attenuation. The Q β(f) at each station is calculated by using both the north-south (NS) and east-west (EW) components of acceleration records as inputs to the developed inversion algorithm. The average Q β(f) values obtained from Q β(f) values at different stations from both NS and EW components have been used to compute a regional average relationship for the Pithoragarh region of Kumaon Himalaya of form Q β(f) = (29 ± 1.2)f (1.1 ± 0.06).
机译：本文介绍了一种改进的两步反演算法方法的结果，该方法可找到Joshi给出的S波品质因数Qβ（f）（Bull Seis Soc Am 96：2165–2180，2006）。使用两个水平分量，从S波的源位移谱计算地震矩。由在多个站点记录的两个水平分量计算出的地震矩的平均值与加速度记录中的S相谱一起用作反演第一部分的输入。转折频率的几个值已被迭代选择，并用作反演算法的输入。使用与最小均方根误差（RMSE）相对应的解来获得Qβ（f）关系的最终估计。反演第一部分的地震矩，转角频率和Qβ（f）的估计值还用于获得理论和观测到的源谱的残差，这些残差被视为站点放大项。通过使用从反演的第一部分获得的Qβ（f），将经过现场放大项校正的加速度记录用于根据震源谱确定地震矩。校正后的加速度记录和新的地震矩估计被用作反演方案第二部分的输入，该第二部分与第一部分相似，不同之处在于使用了输入数据。反演这部分的最终结果是一个新的Qβ（f）关系，以及每个输入的地震矩和角频率的已知值。对这个新的地震矩估计重复进行两步反演，直到获得最小均方根误差（RMSE）为止，该最小均方根误差给出了每个站的Qβ（f）和输入事件转折频率的最终估计。印度Uttarakhand州的Pithoragarh区位于印度和尼泊尔的边界地区，是地震活跃的Kumaon喜马拉雅山地区的一部分。自2006年3月以来，已在该地区安装了由八台强震动记录仪组成的网络。在本研究中，我们分析了2006年3月至2010年10月在各个站点记录的18个本地事件的数据。这些事件已使用HYPO71进行了定位，并且已使用数据来获得与频率相关的剪切波衰减。通过使用加速度记录的南北（NS）和东西向（EW）分量作为已开发的反演算法的输入来计算每个站点的Qβ（f）。从NS和EW分量从不同站点的Qβ（f）值获得的平均Qβ（f）值已用于计算Kumaon喜马拉雅山Pithoragarh地区的区域平均关系形式Qβ（f）=（29±1.2）f（1.1±0.06）。

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  • 来源
    《Pure and Applied Geophysics》 |2012年第10期|p.1821-1845|共25页
  • 作者

    A. Joshi; P. Kumar; M. Mohanty; A. R. Bansal; V. P. Dimri; R. K. Chadha;

  • 作者单位

    Indian Institute of Technology, Roorkee, Roorkee, 247 667, Uttaranchal, India;

    Indian Institute of Technology, Roorkee, Roorkee, 247 667, Uttaranchal, India;

    Department of Science and Technology, Government of India, New Delhi, India;

    National Geophysical Research Institute, Uppal Road, Hyderabad, India;

    National Geophysical Research Institute, Uppal Road, Hyderabad, India;

    National Geophysical Research Institute, Uppal Road, Hyderabad, India;

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