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Probabilistic model to forecast earthquakes in the Zemmouri (Algeria) seismoactive area on the basis of moment magnitude scale distribution functions

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Abstract

Based on the moment magnitude scale, a probabilistic model was developed to predict the occurrences of strong earthquakes in the seismoactive area of Zemmouri, Algeria. Firstly, the distributions of earthquake magnitudes M i were described using the distribution function F 0(m), which adjusts the magnitudes considered as independent random variables. Secondly, the obtained result, i.e., the distribution function F 0(m) of the variables M i was used to deduce the distribution functions G(x) and H(y) of the variables Y i = Log M 0,i and Z i = M 0,i , where (Y i ) i and (Z i ) i are independent. Thirdly, some forecast for moments of the future earthquakes in the studied area is given.

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Authors and Affiliations

  1. Laboratory of Physics of the Earth UMBB, Boumerdes, Algeria

    Kamel Baddari

  2. Department of Mathematics UMBB, Laboratory LIMOSE UMBB, Boumerdes, Algeria

    Kamel Baddari & Said Makdeche

  3. Research Center in Astronomy, Astrophysics and Geophysics (CRAAG), Algiers, Algeria

    Fouzi Bellalem

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  1. Kamel Baddari
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  2. Said Makdeche
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  3. Fouzi Bellalem
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Correspondence to Kamel Baddari.

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Baddari, K., Makdeche, S. & Bellalem, F. Probabilistic model to forecast earthquakes in the Zemmouri (Algeria) seismoactive area on the basis of moment magnitude scale distribution functions. Acta Geophys. 61, 60–83 (2013). https://doi.org/10.2478/s11600-012-0064-2

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