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Multifractal detrended fluctuation analysis of earthquake magnitude series of Mexican South Pacific Region

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  • Flores-Márquez, E.L.
  • Ramírez-Rojas, A.
  • Telesca, L.

Abstract

The multifractality of the earthquake magnitude series of seismicity occurred on the Mexican South Pacific Coast was investigated. The area is composed by five seismic regions that are characterized by different tectonic subduction features, due to the interactions between the La Rivera and Cocos plates with the North America plate. Among the five seismic regions, Jalisco is tectonically characterized by the existence of active spreading center (the East Pacific Rise). The multifractal analysis shows that all the five seismic regions are characterized by very close multifractal properties; however, Jalisco is featured by a higher persistence of the magnitude series.

Suggested Citation

  • Flores-Márquez, E.L. & Ramírez-Rojas, A. & Telesca, L., 2015. "Multifractal detrended fluctuation analysis of earthquake magnitude series of Mexican South Pacific Region," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 1106-1114.
    • Handle: RePEc:eee:apmaco:v:265:y:2015:i:c:p:1106-1114
    DOI: 10.1016/j.amc.2015.06.029
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    References listed on IDEAS

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    1. Telesca, Luciano & Lapenna, Vincenzo & Macchiato, Maria, 2005. "Multifractal fluctuations in seismic interspike series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 629-640.
    2. Ramírez-Rojas, A. & Flores-Márquez, E.L., 2013. "Order parameter analysis of seismicity of the Mexican Pacific coast," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2507-2512.
    3. Telesca, Luciano & Lovallo, Michele & Ramirez-Rojas, Alejandro & Flores-Marquez, Leticia, 2013. "Investigating the time dynamics of seismicity by using the visibility graph approach: Application to seismicity of Mexican subduction zone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6571-6577.
    4. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    5. Aggarwal, S.K. & Lovallo, Michele & Khan, P.K. & Rastogi, B.K. & Telesca, Luciano, 2015. "Multifractal detrended fluctuation analysis of magnitude series of seismicity of Kachchh region, Western India," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 56-62.
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    Cited by:

    1. Kar, Alpa & Chatterjee, Sucharita & Ghosh, Dipak, 2019. "Multifractal detrended cross correlation analysis of Land-surface temperature anomalies and Soil radon concentration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 236-247.
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    3. Zhao, Zhen-yu & Zhu, Jiang & Xia, Bo, 2016. "Multi-fractal fluctuation features of thermal power coal price in China," Energy, Elsevier, vol. 117(P1), pages 10-18.
    4. Milena Kojić & Petar Mitić & Marko Dimovski & Jelena Minović, 2021. "Multivariate Multifractal Detrending Moving Average Analysis of Air Pollutants," Mathematics, MDPI, vol. 9(7), pages 1-17, March.
    5. Ke Ma & Long Guo & Wangheng Liu, 2018. "Investigation of the Spatial Clustering Properties of Seismic Time Series: A Comparative Study from Shallow to Intermediate-Depth Earthquakes," Complexity, Hindawi, vol. 2018, pages 1-10, November.

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