CodaNorm: A software package for the body-wave attenuation calculation by the coda-normalization method

Predein, Peter A.; Добрынина, А. А.; Тубанов, Ц. А.; German, Eugeny I.

doi:10.1016/j.softx.2016.12.004

Cited by 4 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Calculation of Qα and Q β is based on the coda normalization method by Aki (1979) and Yoshimoto et al (1993). This method has been applied by Sharma et al (2008), Kumar et al (2016), and Predein et al (2017). The amplitude of the coda wave spectra recorded on a seismogram is represented by Equation 3 (Aki, 1979).…”

Section: Normalization Methodsmentioning

confidence: 99%

“…The first assumption of coda normalization states that the energy of the coda wave is uniformly distributed around the source. The second assumption states that the coda is the result of the scattering of the S wave (Kumar et al, 2016;Predein et al, 2017). With this first assumption, P and S wave radiations have the same spectra ratio in a certain magnitude range and/or frequency range (Predein et al, 2017;Kumar et al, 2016).…”

Section: Normalization Methodsmentioning

confidence: 99%

“…The authors thank GFZ and BMKG for the waveform data. We thank you Predein et al for providing the CodaNorm software (Predein et al, 2017) and awe also thank the reviewers for their comments and suggestions that helped the authors to improve the quality of this work.…”

Section: Acknowledgmentsmentioning

confidence: 99%

See 2 more Smart Citations

Study of P and S Wave Quality Factor (Qα and Qβ) Around Mt. Jailolo

Ulfiana

Wandono

Sianipar

et al. 2020

JGF

View full text Add to dashboard Cite

Mt. Jailolo is a B type volcano that has never erupted after 1600. Seismic activities around Mt. Jailolo have never been recorded until the swarm in November 2015. Several studies have been done to determine thecause of the swarm, but it is not certain whether the cause of the swarm is tectonic or volcanic activities. The study of attenuation characteristics has never been carried out in the area around Mt. Jailolo. Attenuation characteristics are important to provide the medium information which seismic waves pass through and it can also be applied to the volcanic areas as preliminary disaster mitigation. The main objective of this study is to analyze attenuation characteristics often expressed by Quality factor (Q-factor) of P and S seismic wave (Qα and Qβ), which are inversely proportional to attenuation factor (1/Q). Calculations of Qα and Qβ are obtained using coda normalization method. The study area location is around Mt. Jailolo at 127.3◦ - 127.6◦E and 0.9◦ - 1.2◦ N. Data have been collected with 12 Short Period temporary 7G sensors network belongs to GFZ and BMKG. This study uses 147 swarm events from the sensors with a threshold magnitude of Mw< 5.0, during April 2017. The study obtains Qα(f) = 9.61814f 1.12981 and Qβ(f) = 19.10690f 1.22843. The current analysis concludes that the attenuation beneath Mt. Jailolo corresponds to the volcanic swarms which may have been triggered by its deeper layer’s magmatic activity.

show abstract

Section: Normalization Methodsmentioning

confidence: 99%

Section: Normalization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Study of P and S Wave Quality Factor (Qα and Qβ) Around Mt. Jailolo

Ulfiana

Wandono

Sianipar

et al. 2020

JGF

View full text Add to dashboard Cite

show abstract

“…При расчетах показатель геометрического расхождения α принимался равным 1, исходя из предположения о том, что кода представляет собой рассеянные поперечные волны [Sato, Fehler, 1998], средняя скорость S-волны V S = =3.51 км/с [Tubanov et al, 2013]. Для расчета Q по прямым волнам использовались те же параметры, за исключением выбора участка записи для обработки сигнала: началом считался момент вступления прямой S-волны, длина отрезка составляла 10 с. Расчеты осуществлялись в программе CodaNorm, разработанной авторами ранее [Predein et al, 2017].…”

Section: методыunclassified

Spatial Variations of Seismic Wave Attenuation in the South Baikal Basin and Adjacent Areas (Baikal Rift)

Добрынина

Predein

Sankov

et al. 2019

Geodin. tektonofiz.

View full text Add to dashboard Cite

Our detailed study of the crust and upper mantle of the South Baikal basin focused on seismic coda and seismic S-waves attenuation and estimated seismic quality factor (QS and QC), frequency parameter (n), attenuation coefficient (δ), total attenuation (QT), and the ratio of two components the total attenuation: intrinsic attenuation (Qi), and attenuation due to scattering caused by the inhomogeneities of the medium (QSC). We calculated the sizes of inhomogeneities revealed in the block medium, which put their effect on the attenuation of seismic waves in different frequency ranges. The seismic wave attenuation field was analyzed in comparison with the geological and geophysical characteristics of the medium, and a direct relationship was established between attenuation, composition and active processes in the crust and upper mantle of the studied area. According to the estimated intrinsic attenuation (Qi) and scattering attenuation (QSC) contributions into the total attenuation, intrinsic attenuation is generally dominant in the studied area, while the QSC component increases in the areas of large active faults.

show abstract

“…The SGRAPH program (Abdelwahed, 2012) enables the user to estimate the intrinsic and scattering seismic attenuation parameter by using the Multiple Lapse time Window method (Zeng, 1991). Similarly, Predein et al (2017) recently developed a software package named as CodaNorm, based on the coda-normalization method (Knopoff and Hudson, 1964). This package allows the estimation of the seismic quality factor and its frequency dependence (n) for direct body waves for different central frequency.…”

Section: Introductionmentioning

confidence: 99%

CodaQback

Biswas

Bora

Srinivasan

2021

International Journal of Geotechnical Earthquake Engineering

View full text Add to dashboard Cite

Attenuation study of a province is considered as a basic quantity for seismic hazard assessment. It has already been established that the study of two physical processes, namely the seismic sources and propagation of the waves, is essential for seismic-hazard mapping. Additionally, attenuation plays an important role towards scaling seismic hazard. Accordingly, a computational tool entitled CodaQback is presented. Based on back scattering model, this versatile software is equipped with user-friendly graphical user interface. It also allows quick picking of phases for computing coda attenuation parameter. All outputs after each execution step in CodaQback are efficiently exported step-wise into a separate folder in Excel and text formats. To validate the computing tool, it is tested in real data analysis and there is found to be good matching of computed values with already established ones. It is envisioned that this package will enable user to derive quick and reliable estimation of coda attenuation parameter irrespective of geological and geo-morphological units.

show abstract

CodaNorm: A software package for the body-wave attenuation calculation by the coda-normalization method

Cited by 4 publications

References 10 publications

Study of P and S Wave Quality Factor (Qα and Qβ) Around Mt. Jailolo

Study of P and S Wave Quality Factor (Qα and Qβ) Around Mt. Jailolo

Spatial Variations of Seismic Wave Attenuation in the South Baikal Basin and Adjacent Areas (Baikal Rift)

CodaQback

Contact Info

Product

Resources

About