Abstract

As basic data for seismic activity analysis, hypocenter catalogs need to be accurate, complete, homogeneous, and consistent. Therefore, clarifying systematic errors in catalogs is an important discipline of seismicity research. This review presents a systematic model-based methodology to reveal various biases and the results of the following analyses. (1) It is critical to examine whether there is a non-stationary systematic estimation bias in earthquake magnitudes in a hypocenter catalog. (2) Most earthquake catalogs covering long periods are not homogeneous in space, time, and magnitude ranges. Earthquake network structures and seismometers change over time, and therefore, earthquake detection rates change over time and space. Even in the short term, many aftershocks immediately following large earthquakes are often undetected, and the detection rate varies, depending on the elapsed time and location. By establishing a detection rate function, the actual seismic activity and the spatiotemporal heterogeneity of catalogs can be discriminated. (3) Near real-time correction of source locations, far from the seismic observation network, can be implemented based on better determined source location comparisons of other catalogs using the same identified earthquakes. The bias functions were estimated using an empirical Bayes method. I provide examples showing different conclusions about the changes in seismicity from different earthquake catalogs. Through these analyses, I also present actual examples of successful modifications as well as various misleading conclusions about changes in seismic activity. In particular, there is a human made magnitude shift problem included in the global catalog of large earthquakes in the late nineteenth and early twentieth centuries.

Highlights

  • Research on seismic activity requires hypocenter data on the occurrence of an earthquake, with the elements of time, longitude, latitude, depth, and magnitude, which are calculated from a set of seismic wave records

  • 2.1.2 Magnitude shift issues regarding the Japan Meteorological Agency (JMA) hypocenter catalog Ogata et al (1998) applied this method to examine the differences between the magnitudes MJ reported by the JMA and body-wave magnitudes reported by the National Earthquake Information Center (NEIC) of the US Geological Survey (USGS) Preliminary Determination of Epicenters (PDE) catalog in and around Japan during the period 1963–1989

  • Most catalogs covering long periods are not homogeneous because the detection rate enhancement increases the identified smaller earthquakes in time due to an improved seismic network. This can be seen by modeling the evolution of detection rate earthquakes in time and space, which is useful for the study of real seismicity activity for a long time period

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Summary

Introduction

Research on seismic activity requires hypocenter data on the occurrence of an earthquake, with the elements of time, longitude, latitude, depth, and magnitude, which are calculated from a set of seismic wave records. Earthquake hypocenters provide basic data for seismicity analyses, and earthquake catalogs should be precise, complete, homogeneous, and consistent. Ogata Progress in Earth and Planetary Science (2021) 8:8 caused by data deficits. Solutions to these problems are invaluable for understanding complex seismic processes, forecasting seismicity, and producing reliable earthquake hazard evaluations. The present study uses statistical models and methods to reveal bias or other systematic inhomogeneities of the respective hypocenter elements among various catalogs

Magnitude shift
Statistical models and methods for detecting magnitude biases
Magnitude shift issues regarding the JMA hypocenter catalog
Magnitude shift issues regarding global hypocenter catalogs Bansal and
Hypocenter catalog of global shallow large earthquakes in the twentieth century
Location correction of earthquake catalogs
Quasi-real-time correction of the depth location of offshore earthquakes
Detection rates of earthquakes and b values of the magnitude frequency
Modeling detection rate changes over time The south coast of
Spatial detection rate changes immediately following a large earthquake
Findings
Conclusions

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