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Estimation of Coda Q for northeast India using nonlinear regression
Journal of Earth System Science ( IF 1.9 ) Pub Date : 2020-11-13 , DOI: 10.1007/s12040-020-01483-0
Pardeep Sangwan , Dinesh Kumar

Abstract

Classical logarithmic linearization of the single backscattering model to estimate the coda Q (\( Q_{c} ) \) leads to biased results in the presence of low signal-to-noise ratio. Non-linear regression using the Levenberg–Marquardt (L–M) method has been proposed to estimate the \( Q_{c} \) in the frequency range of 3–24 Hz on local earthquakes recorded in northeast region of India. Results of both classical log-linear and non-linear approaches to the single backscattering model are compared. On datasets with good signal-to-noise ratio both the approaches lead to almost the same results. However, for datasets having low signal-to-noise ratio, we found that the log-linear technique estimates are biased. Results demonstrate that the log-linear approach overestimates the \( Q_{c} \) in comparison to the non-linear approach. Frequency dependence parameter ‘\( \eta \)’ for the L–M method is slightly higher than the conventional log-linear approach. The \( Q_{c} \) variation with lapse-time is also studied with both the approaches. The biased results of log-linear approach were observed at different frequencies at all lapse times. Significantly lower \( Q_{0} \) (1 Hz) estimates of non-linear approach indicated more heterogeneous lithosphere than the log-linear approach.

Highlights

  • A novel approach to the single scattering model is proposed wherein nonlinear regression is performed to estimate coda Qc.

  • Coda attenuation and its variation with lapse time is analysed (3–24 Hz) from local earthquakes of North East India

  • For datasets having a low signal-to-noise ratio the estimates of the conventional log-linear regression were biased.

  • Significantly lower Q0 estimates of the non-linear approach indicated a more heterogeneous lithosphere than a log-linear approach.



中文翻译:

非线性回归法估算印度东北部的Coda Q

摘要

在低信噪比的情况下,单个反向散射模型的经典对数线性化以估计尾随Q(\(Q_ {c})\)会导致结果偏差。已经提出使用Levenberg-Marquardt(LM)方法进行非线性回归来估计印度东北地区记录的3-24 Hz频率范围内的\(Q_ {c} \)。比较了单一对向散射模型的经典对数线性和非线性方法的结果。在具有良好信噪比的数据集上,两种方法得出的结果几乎相同。但是,对于具有低信噪比的数据集,我们发现对数线性技术估计存在偏差。结果表明,对数线性方法高估了\(Q_ {c} \)与非线性方法相比。LM方法的频率相关参数' \(\ eta \) '略高于常规对数线性方法。的\(Q_ {C} \)与经过时间的变化进行了研究与两个方法。在所有经过时间的不同频率下,观察到对数线性方法的偏差结果。非线性方法的\(Q_ {0} \)(1 Hz)估计值明显较低,这表明岩石对数层比对数线性方法更不均匀。

强调

  • 提出了一种新的单散射模型方法,其中执行非线性回归以估计尾随Q c

  • 印度东北部地区地震分析了尾气衰减及其随时间的变化(3–24 Hz)

  • 对于信噪比低的数据集,常规对数线性回归的估计值存在偏差。

  • 非线性方法的Q 0估计值明显较低,这表明岩石对数层比对数线性方法更不均匀。

更新日期:2020-11-13
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