Abstract
Aki’s maximum likelihood method of Gutenberg–Richter b-value estimation is based on the premise that magnitudes above a given threshold are distributed exponentially and presupposes that sampling is adequate for all these magnitudes; clearly, sampling will not be adequate for magnitudes having average recurrence times longer than the observation time. Thus, for any given sample, there is a higher-magnitude completeness threshold. The importance of considering this higher-magnitude threshold is discussed, the effect of incomplete large-magnitude sampling is evaluated, and a method is given for correcting the observations.
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Acknowledgements
This research was funded by CONACYT Grant 222795 and was partially carried out within Project CGL2011-29474-C01-01, and was partially funded by UNAM-DGAPA postdoctoral scholarship (V.H.M.). Many thanks to José Mojarro for technical advise. We thank the anonymous reviewers for constructive criticism.
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Nava, F.A., Márquez-Ramírez, V.H., Zúñiga, F.R. et al. Gutenberg–Richter b-value determination and large-magnitudes sampling. Nat Hazards 87, 1–11 (2017). https://doi.org/10.1007/s11069-017-2750-5
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DOI: https://doi.org/10.1007/s11069-017-2750-5