Description Usage Arguments Details Value References See Also Examples
Simulate the bulk earthquake frequency magnitude distribution (bFMD) by applying the Thinning Method (Lewis and Shedler, 1979) to the curved FMD model of Ringdal (1975); Ogata and Katsura (1993; 2006).
1 | bfmd.sim(N, theta, mbin = 0.1, mmin = 0, mmax = 9)
|
N |
the approximate number of earthquakes to simulate |
theta |
a list of 3 parameters:
|
mbin |
the magnitude binning value (if not provided, |
mmin |
the minimum magnitude value (if not provided, |
mmax |
the maximum magnitude value (if not provided, |
The bulk FMD model is the product of the Gutenberg-Richter model and a detection function defined as the cumulative Normal distribution. Its FMD has a curved shape in the log-lin space and corresponds to the case where the completeness magnitude mc is variable (the FMD curvature representing the mc distribution; read more in Mignan, 2012; Mignan and Chen, 2016).
A numeric vector of approximatively N
earthquake magnitudes.
Lewis, P.A.W., Shedler, G.S. (1979), Simulation of nonhomogeneous poisson processes by thinning, Naval Res. Logistics, 26, 403-413 doi: 10.1002/nav.3800260304
Mignan, A. (2012), Functional shape of the earthquake frequency-magnitude distribution and completeness magnitude, J. Geophys. Res., 117, B08302, doi: 10.1029/2012JB009347
Mignan, A., Chen, C.-C. (2016), The Spatial Scale of Detected Seismicity, Pure Appl. Geophys., 173, 117-124, doi: 10.1007/s00024-015-1133-7
Ogata, Y., Katsura, K. (1993), Analysis of temporal and spatial heterogeneity of magnitude frequency distribution inferred from earthquake catalogues, Geophys. J. Int., 113, 727-738
Ogata, Y., Katsura, K. (2006), Immediate and updated forecasting of aftershock hazard, Geophys. Res. Lett., 33, L10305, doi: 10.1029/2006GL025888
Ringdal, F. (1975), On the estimation of seismic detection thresholds, Bull. Seismol. Soc. Am., 65, 1631-1642
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