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Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California

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Abstract

This paper presents a wavelet-based multifractal approach to characterize the statistical properties of temporal distribution of the 1982–2012 seismic activity in Mammoth Mountain volcano. The fractal analysis of time-occurrence series of seismicity has been carried out in relation to seismic swarm in association with magmatic intrusion happening beneath the volcano on 4 May 1989. We used the wavelet transform modulus maxima based multifractal formalism to get the multifractal characteristics of seismicity before, during, and after the unrest. The results revealed that the earthquake sequences across the study area show time-scaling features. It is clearly perceived that the multifractal characteristics are not constant in different periods and there are differences among the seismicity sequences. The attributes of singularity spectrum have been utilized to determine the complexity of seismicity for each period. Findings show that the temporal distribution of earthquakes for swarm period was simpler with respect to pre- and post-swarm periods.

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  1. Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz, Iran

    Ahmad Zamani & Amir Pirouz Kolahi Azar

  2. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

    Ali Akbar Safavi

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  1. Ahmad Zamani
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  2. Amir Pirouz Kolahi Azar
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Zamani, A., Kolahi Azar, A.P. & Safavi, A.A. Wavelet-based multifractal analysis of earthquakes temporal distribution in Mammoth Mountain volcano, Mono County, Eastern California. Acta Geophys. 62, 585–607 (2014). https://doi.org/10.2478/s11600-013-0184-3

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