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Decustering, Rates, and b-values or
Declustering: the Necessary Evil of Statistical Seismology Andy Michael
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Gardner and Knopoff Declustering
Method: Gardner and Knopoff (BSSA, 1974): Magnitude-dependent spatial circles and time windows Problem: Spatial circles too small for large earthquakes Solution: Use radii based on fault rupture lengths from Wells and Coppersmith (BSSA, 1994)
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Christophersen et al. Declustering Radii Choices
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SCSN M≥2 1984-2010 Radii = Uhrhammer ΔT = 1 day
Nmain=32490, p=0
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SCSN M≥2 1984-2010 Radii = G-K ΔT = 1 day
Nmain=26992, p=3*10^-7
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SCSN M≥2 1984-2010 Radii = G-K ΔT = 3 days
Nmain=19494, p=0.002
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SCSN M≥2 1984-2010 Radii = G-K ΔT = 7 days
Nmain=12892, p=0.56
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SCSN M≥2 1984-2010 Radii = G-K ΔT = 100 days
Nmain=1185, p=0.89
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N=79661
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N=13529
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N=8124
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Issues for UCERF3: Decluster and then estimate rates or Estimate rates using an ETAS model directly. If declustering then which method or how many methods? National Maps use Gardner-Knopoff which lowers b-value ETAS uses the same b-value for background and clusters Could decluster with a stochastic ETAS approach and maintain the same b-value, good for ETAS but bad for National Maps Could decluster with Gardner-Knopoff and then do ETAS with a different magnitude-frequency distribution that combines to the correct total distribution.
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