Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments

This study provides some new insights into earthquake forecasting models that are applied to regions with subduction systems, including the depth component for forecasting grids and time-dependent factors. To demonstrate the importance of depth component, a forecasting approach, which incorporates t...

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Main Author: C.-H. Chan
Format: Article
Language:English
Published: Copernicus Publications 2016-09-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/16/2177/2016/nhess-16-2177-2016.pdf
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spelling doaj-923a3ef752d848329e981677a32dcc162020-11-24T20:59:12ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812016-09-011692177218710.5194/nhess-16-2177-2016Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environmentsC.-H. Chan0Earth Observatory of Singapore, Nanyang Technological University, SingaporeThis study provides some new insights into earthquake forecasting models that are applied to regions with subduction systems, including the depth component for forecasting grids and time-dependent factors. To demonstrate the importance of depth component, a forecasting approach, which incorporates three-dimensional grids, is compared with an approach with two-dimensional cells. Through application to the two subduction regions, Ryukyu and Kanto, it is shown that the approaches with three-dimensional grids always demonstrate a better forecasting ability. I thus confirm the importance of depth dependency for forecasting, especially for applications to a subduction environment or a region with non-vertical seismogenic structures. In addition, this study discusses the role of time-dependent factors for forecasting models and concludes that time dependency only becomes crucial during the period with significant seismicity rate change that follows a large earthquake.http://www.nat-hazards-earth-syst-sci.net/16/2177/2016/nhess-16-2177-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C.-H. Chan
spellingShingle C.-H. Chan
Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
Natural Hazards and Earth System Sciences
author_facet C.-H. Chan
author_sort C.-H. Chan
title Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
title_short Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
title_full Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
title_fullStr Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
title_full_unstemmed Importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
title_sort importance of three-dimensional grids and time-dependent factors for applications of earthquake forecasting models to subduction environments
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2016-09-01
description This study provides some new insights into earthquake forecasting models that are applied to regions with subduction systems, including the depth component for forecasting grids and time-dependent factors. To demonstrate the importance of depth component, a forecasting approach, which incorporates three-dimensional grids, is compared with an approach with two-dimensional cells. Through application to the two subduction regions, Ryukyu and Kanto, it is shown that the approaches with three-dimensional grids always demonstrate a better forecasting ability. I thus confirm the importance of depth dependency for forecasting, especially for applications to a subduction environment or a region with non-vertical seismogenic structures. In addition, this study discusses the role of time-dependent factors for forecasting models and concludes that time dependency only becomes crucial during the period with significant seismicity rate change that follows a large earthquake.
url http://www.nat-hazards-earth-syst-sci.net/16/2177/2016/nhess-16-2177-2016.pdf
work_keys_str_mv AT chchan importanceofthreedimensionalgridsandtimedependentfactorsforapplicationsofearthquakeforecastingmodelstosubductionenvironments
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