Azimi Q models

In seismology, the Azimi Q models are mathematical Q models developed to study how the Earth reacts to seismic waves by measuring how these waves weaken (energy loss) and disperse. Introduced by S. A. Azimi and colleagues in the late 1960s, these models focus on the Q factor (a measure of seismic attenuation, or how much energy waves lose) and are designed to satisfy the Kramers-Kronig relations, ensuring physical consistency between attenuation and dispersion. This makes them a better choice than the Kolsky model for tasks like inverse Q filtering (correcting seismic data to improve clarity). The Azimi Q models have been used in geophysical studies to better understand what’s beneath the Earth’s surface.

Azimi's first model

Azimi's first model,[1] which he proposed together with Strick[2] has the attenuation proportional to |w|1−γ and is:

The phase velocity is written:

Azimi's second model

Azimi's second model is defined by:

where a2 and a3 are constants. Now we can use the Krämers-Krönig dispersion relation and get a phase velocity:

Computations

Studying the attenuation coefficient and phase velocity, and compare them with Kolskys Q model we have plotted the result on fig.1. The data for the models are taken from Ursin and Toverud.[3]

Data for the Kolsky model (blue):

upper:

lower:

Data for Azimis first model (green):

upper:

lower:

Data for Azimis second model (green):

upper:

lower:

Notes

  1. ^ Azimi S.A.Kalinin A.V. Kalinin V.V and Pivovarov B.L.1968. Impulse and transient characteristics of media with linear and quadratic absorption laws. Izvestiya - Physics of the Solid Earth 2. p.88-93
  2. ^ Strick. (1967). "The determination of Q, dynamic viscosity and transient creep curves from wave propagation measurements". Geophysical Journal of the Royal Astronomical Society, 13, p.197-218
  3. ^ Ursin B. and Toverud T. (2002), "Comparison of seismic dispersion and attenuation models". Studia Geophysica et Geodaetica 46, 293-320.

References

  • Wang, Yanghua (2008). Seismic inverse Q filtering. Blackwell Pub. ISBN 978-1-4051-8540-0.

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