Can we obtain reliable seismic b-values for real-time catalogues?

Author:

Li Linxuan12ORCID,Luo Gang134ORCID

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University , Wuhan 430079 , China

2. Seismological Laboratory, Division of Geological and Planetary Sciences, California Institute of Technology , Pasadena, CA 91125 , USA

3. Hubei Luojia Laboratory , 129 Luoyu Road, Wuhan 430079 , China

4. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University , Wuhan 430079 , China

Abstract

SUMMARY The seismic b-value in Gutenberg–Richter law is an important parameter in earthquake science research and earthquake risk assessment. People have tried to use b-values for short-term earthquake forecasts, and this requires the premise of estimating reliable b-values for real-time seismic catalogues. However, estimating b-values for real-time catalogues, which are usually of poor qualities, is usually faced with many difficulties and problems. In this study, through a series of numerical tests, we investigate the performance of three methods, including the commonly used maximum-likelihood estimation method and two relatively new b-value estimation methods, namely the b-positive and K–M slope methods, on calculating b-values for real-time seismic catalogues. We also apply these three methods to both observed seismic catalogues (the seismic sequence in the Costa Marchigiana, Italy, and a high-resolution early aftershock sequence of the 2023 two Mw ∼7.8 earthquakes in Türkiye) and synthetic real-time seismic catalogues. The results in this study show that it seems difficult to obtain accurate b-values for real-time earthquake catalogues by each of these three methods, but the combination of these methods may give a better judgment—if all three methods suggest that the change in b-value is significant, the probability of making a correct decision is very high. Facing the uncertainty of b-value estimation that always exists, we advocate exploring the effectiveness of standard b-value estimation strategies in practical applications.

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

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