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Variations in earthquake-size distribution across different stress regimes

Author

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  • Danijel Schorlemmer

    (ETH Zürich, ETH Hönggerberg)

  • Stefan Wiemer

    (ETH Zürich, ETH Hönggerberg)

  • Max Wyss

    (World Agency of Planetary Monitoring and Earthquake Risk Reduction)

Abstract

The earthquake size distribution follows, in most instances, a power law1,2, with the slope of this power law, the ‘b value’, commonly used to describe the relative occurrence of large and small events (a high b value indicates a larger proportion of small earthquakes, and vice versa). Statistically significant variations of b values have been measured in laboratory experiments, mines and various tectonic regimes such as subducting slabs, near magma chambers, along fault zones and in aftershock zones3. However, it has remained uncertain whether these differences are due to differing stress regimes, as it was questionable that samples in small volumes (such as in laboratory specimens, mines and the shallow Earth's crust) are representative of earthquakes in general. Given the lack of physical understanding of these differences, the observation that b values approach the constant 1 if large volumes are sampled4 was interpreted to indicate that b = 1 is a universal constant for earthquakes in general5. Here we show that the b value varies systematically for different styles of faulting. We find that normal faulting events have the highest b values, thrust events the lowest and strike-slip events intermediate values. Given that thrust faults tend to be under higher stress than normal faults we infer that the b value acts as a stress meter that depends inversely on differential stress.

Suggested Citation

  • Danijel Schorlemmer & Stefan Wiemer & Max Wyss, 2005. "Variations in earthquake-size distribution across different stress regimes," Nature, Nature, vol. 437(7058), pages 539-542, September.
  • Handle: RePEc:nat:nature:v:437:y:2005:i:7058:d:10.1038_nature04094
    DOI: 10.1038/nature04094
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    Cited by:

    1. Futoshi Yamashita & Eiichi Fukuyama & Shiqing Xu & Hironori Kawakata & Kazuo Mizoguchi & Shigeru Takizawa, 2021. "Two end-member earthquake preparations illuminated by foreshock activity on a meter-scale laboratory fault," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Biton, Dionessa C. & Tarun, Anjali B. & Batac, Rene C., 2020. "Comparing spatio-temporal networks of intermittent avalanche events: Experiment, model, and empirical data," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    3. Kalpna Gahalaut & Rajesh Rekapalli, 2022. "On the enhanced post-impoundment seismicity in the Three Gorges Reservoir region, China," 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. 113(3), pages 1697-1712, September.
    4. F. A. Nava & V. H. Márquez-Ramírez & F. R. Zúñiga & C. Lomnitz, 2017. "Gutenberg–Richter b-value determination and large-magnitudes sampling," 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. 87(1), pages 1-11, May.
    5. Huiling Zhou & Hejun Su & Hui Zhang & Chenhua Li, 2017. "Correlations between soil gas and seismic activity in the Generalized Haiyuan Fault Zone, north-central China," 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. 85(2), pages 763-776, January.
    6. Laurini, Fabrizio & Pauli, Francesco, 2009. "Smoothing sample extremes: The mixed model approach," Computational Statistics & Data Analysis, Elsevier, vol. 53(11), pages 3842-3854, September.
    7. Saman Yaghmaei-Sabegh & Gholamreza Ostadi-Asl, 2022. "Bayesian estimation of b-value in Gutenberg–Richter relationship: a sample size reduction approach," 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. 110(3), pages 1783-1797, February.
    8. Matteo Taroni & Giorgio Vocalelli & Andrea De Polis, 2021. "Gutenberg–Richter B-Value Time Series Forecasting: A Weighted Likelihood Approach," Forecasting, MDPI, vol. 3(3), pages 1-9, August.
    9. Marcus Herrmann & Ester Piegari & Warner Marzocchi, 2022. "Revealing the spatiotemporal complexity of the magnitude distribution and b-value during an earthquake sequence," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    10. C. Collettini & M. R. Barchi & N. Paola & F. Trippetta & E. Tinti, 2022. "Rock and fault rheology explain differences between on fault and distributed seismicity," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Shuo Zheng & Kai Qin & Lixin Wu & Yanfei An & Qifeng Yin & Chunkit Lai, 2020. "Hydrothermal anomalies of the Earth's surface and crustal seismicity related to Ms8.0 Wenchuan EQ," 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. 104(3), pages 2097-2114, December.
    12. Mendy Bengoubou-Valérius & Dominique Gibert, 2013. "Bootstrap determination of the reliability of b-values: an assessment of statistical estimators with synthetic magnitude series," 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. 65(1), pages 443-459, January.
    13. Pastén, Denisse & Pavez-Orrego, Claudia, 2023. "Multifractal time evolution for intraplate earthquakes recorded in southern Norway during 1980–2021," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    14. M. Hamdache & J. A. Peláez & A. Kijko & A. Smit, 2017. "Energetic and spatial characterization of seismicity in the Algeria–Morocco region," 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. 86(2), pages 273-293, April.
    15. A. Singh & Indrajit Roy & Santosh Kumar & J. Kayal, 2015. "Seismic source characteristics in Kachchh and Saurashtra regions of Western India: b-value and fractal dimension mapping of aftershock sequences," 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. 77(1), pages 33-49, May.
    16. Bahruz Ahadov & Serkan Ozturk, 2022. "Spatial variations of fundamental seismotectonic parameters for the earthquake occurrences in the Eastern Mediterranean and Caucasus," 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. 111(3), pages 2177-2192, April.
    17. Daolong Chen & Changgen Xia & Huini Liu & Xiling Liu & Kun Du, 2022. "Research on b Value Estimation Based on Apparent Amplitude-Frequency Distribution in Rock Acoustic Emission Tests," Mathematics, MDPI, vol. 10(17), pages 1-17, September.
    18. J. L. Amaro-Mellado & A. Morales-Esteban & F. Martínez-Álvarez, 2018. "Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 739-758, September.

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