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Emulation of simulated earthquake catalogues

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Języki publikacji
EN
Abstrakty
EN
In earthquake occurrence studies, the so-called q value can be considered both as one of the parameters describing the distribution of inter-event times and as an index of non-extensivity. Using simulated datasets, we compare four kinds of estimators, based on principle of maximum entropy (POME), method of moments (MOM), maximum likelihood (MLE), and probability weighted moments (PWM) of the parameters (q and τ0) of the distribution of inter-events times, assumed to be a generalized Pareto distribution (GPD), as defined by Tsallis (1988) in the frame of non-extensive statistical physics. We then propose to use the unbiased version of PWM estimators to compute the q value for the distribution of inter-event times in a realistic earthquake catalogue simulated according to the epidemic type aftershock sequence (ETAS) model. Finally, we use these findings to build a statistical emulator of the q values of ETAS model. We employ treed Gaussian processes to obtain partitions of the parameter space so that the resulting model respects sharp changes in physical behaviour. The emulator is used to understand the joint effects of input parameters on the q value, exploring the relationship between ETAS model formulation and distribution of inter-event times.
Czasopismo
Rocznik
Strony
699--718
Opis fizyczny
Bibliogr. 35 poz.
Twórcy
autor
autor
Bibliografia
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  • Touati, S., M. Naylor, I.G. Main, and M. Christie (2011), Masking of earthquake triggering behavior by a high background rate and implications for epidemic-type aftershock sequence inversions, J. Geophys. Res. 116, B03304, DOI: 10.1029/2010JB007544.
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  • Wang, Q, F.P. Schoenberg, and D.D. Jackson (2010b), Standard errors of parameter estimates in the ETAS model, Bull. Seismol. Soc. Am. 100, 5A, 1989-2001, DOI: 10.1785/0120100001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL4-0017-0012
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