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Fractal and multifractal analysis of the rise of oxygen in Earth’s early atmosphere

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  • Kumar, Satish
  • Cuntz, Manfred
  • Musielak, Zdzislaw E.

Abstract

The rise of oxygen in Earth’s atmosphere that occurred 2.4–2.2 billion years ago is known as the Earth’s Great Oxidation, and its impact on the development of life on Earth has been profound. Thereafter, the increase in Earth’s oxygen level persisted, though at a more gradual pace. The proposed underlying mathematical models for these processes are based on physical parameters whose values are currently not well-established owing to uncertainties in geological and biological data. In this paper, a previously developed model of Earth’s atmosphere is modified by adding different strengths of noise to account for the parameters’ uncertainties. The effects of the noise on the time variations of oxygen, carbon and methane for the early Earth are investigated by using fractal and multifractal analysis. We show that the time variations following the Great Oxidation cannot properly be described by a single fractal dimension because they exhibit multifractal characteristics. The obtained results demonstrate that the time series as obtained exhibit multifractality caused by long-range time correlations.

Suggested Citation

  • Kumar, Satish & Cuntz, Manfred & Musielak, Zdzislaw E., 2015. "Fractal and multifractal analysis of the rise of oxygen in Earth’s early atmosphere," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 296-303.
  • Handle: RePEc:eee:chsofr:v:77:y:2015:i:c:p:296-303
    DOI: 10.1016/j.chaos.2015.06.007
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    1. Hiroshi Ohmoto & Yumiko Watanabe & Hiroaki Ikemi & Simon R. Poulson & Bruce E. Taylor, 2006. "Sulphur isotope evidence for an oxic Archaean atmosphere," Nature, Nature, vol. 442(7105), pages 908-911, August.
    2. Lee R. Kump, 2008. "The rise of atmospheric oxygen," Nature, Nature, vol. 451(7176), pages 277-278, January.
    3. Wu, Xiaoqun & Wang, Jinjun & Lu, Jun-an & Iu, Herbert H.C., 2007. "Hyperchaotic behavior in a non-autonomous unified chaotic system with continuous periodic switch," Chaos, Solitons & Fractals, Elsevier, vol. 32(4), pages 1485-1490.
    4. James F. Kasting, 2006. "Ups and downs of ancient oxygen," Nature, Nature, vol. 443(7112), pages 643-645, October.
    5. Colin Goldblatt & Timothy M. Lenton & Andrew J. Watson, 2006. "Bistability of atmospheric oxygen and the Great Oxidation," Nature, Nature, vol. 443(7112), pages 683-686, October.
    6. James Farquhar & Marc Peters & David T. Johnston & Harald Strauss & Andrew Masterson & Uwe Wiechert & Alan J. Kaufman, 2007. "Isotopic evidence for Mesoarchaean anoxia and changing atmospheric sulphur chemistry," Nature, Nature, vol. 449(7163), pages 706-709, October.
    7. 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.
    8. Robert Frei & Claudio Gaucher & Simon W. Poulton & Don E. Canfield, 2009. "Fluctuations in Precambrian atmospheric oxygenation recorded by chromium isotopes," Nature, Nature, vol. 461(7261), pages 250-253, September.
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