Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation

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 re...

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Main Author: Yosihiko Ogata
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:Progress in Earth and Planetary Science
Subjects:
Online Access:https://doi.org/10.1186/s40645-020-00401-8
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spelling doaj-1ace04cef6d14fa3b2d9e4fd2853d7322021-01-24T12:25:04ZengSpringerOpenProgress in Earth and Planetary Science2197-42842021-01-018112010.1186/s40645-020-00401-8Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensationYosihiko Ogata0Institute of Statistical MathematicsAbstract 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.https://doi.org/10.1186/s40645-020-00401-8ABICBias compensationDetection rate functionEmpirical Bayesian methodData heterogeneityHypocenter catalogs
collection DOAJ
language English
format Article
sources DOAJ
author Yosihiko Ogata
spellingShingle Yosihiko Ogata
Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
Progress in Earth and Planetary Science
ABIC
Bias compensation
Detection rate function
Empirical Bayesian method
Data heterogeneity
Hypocenter catalogs
author_facet Yosihiko Ogata
author_sort Yosihiko Ogata
title Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
title_short Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
title_full Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
title_fullStr Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
title_full_unstemmed Visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
title_sort visualizing heterogeneities of earthquake hypocenter catalogs: modeling, analysis, and compensation
publisher SpringerOpen
series Progress in Earth and Planetary Science
issn 2197-4284
publishDate 2021-01-01
description 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.
topic ABIC
Bias compensation
Detection rate function
Empirical Bayesian method
Data heterogeneity
Hypocenter catalogs
url https://doi.org/10.1186/s40645-020-00401-8
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