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The essence of multifractal detrended fluctuation technique to explore the dynamics of soil radon precursor for earthquakes

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  • Chiranjib Barman
  • Hirok Chaudhuri
  • Argha Deb
  • Debasis Ghose
  • Bikash Sinha

Abstract

The present paper deals with the application of multifractal detrended fluctuation analysis technique on soil radon-222 time series data recorded at Earthquake Precursory Observatory at TattaPani, Jammu and Kashmir, India. The earth being a complicated dynamic system composed of diverse rock types subjected to spatially varying stress patterns, understanding seismic activity-induced soil gas anomaly in such a complex scenario calls for using nonlinear statistical techniques. Therefore, we have adopted several multifractal parameters especially the generalised Hurst exponent, scaling exponent as well as the multifractal spectrum of the radon time series to the problem. A 2-month data (November 5 to December 31, 2012) on soil radon taken at 10-min interval show a wide variation from 2.34 to 58.99 kBq/m 3 with four prominent fluctuations (>mean ± 2σ). The data consists of several nonlinear features such as fractal structures and long-range correlation. The observed nonlinear characteristics are pointed to seismic-induced physico-chemical instability within the earth’s interior. The estimated local fluctuations or root mean square values greatly assist to distinguish the anomalous pattern present in the recorded time series data. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Chiranjib Barman & Hirok Chaudhuri & Argha Deb & Debasis Ghose & Bikash Sinha, 2015. "The essence of multifractal detrended fluctuation technique to explore the dynamics of soil radon precursor for earthquakes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 855-877, September.
    • Handle: RePEc:spr:nathaz:v:78:y:2015:i:2:p:855-877
    DOI: 10.1007/s11069-015-1747-1
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    References listed on IDEAS

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    1. Yanhui Liu & Parameswaran Gopikrishnan & Pierre Cizeau & Martin Meyer & Chung-Kang Peng & H. Eugene Stanley, 1999. "The statistical properties of the volatility of price fluctuations," Papers cond-mat/9903369, arXiv.org, revised Mar 1999.
    2. 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.
    3. Barat, P. & Das, NishithKr. & Ghose, Debasis & Sinha, Bikash, 1999. "Fractal pattern in hydrothermal emission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 262(1), pages 9-15.
    4. Jens Hartmann & Jason Levy, 2005. "Hydrogeological and Gasgeochemical Earthquake Precursors – A Review for Application," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 34(3), pages 279-304, March.
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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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