Selection of earthquake ground motion models using the deviance information criterion
In this study, we propose a data-driven method using the Deviance Information Criterion (DIC) to select the most suitable earthquake ground motion model (GMM) for application in probabilistic seismic hazard analysis (PSHA). The standard deviation (sigma) of the GMM is an important parameter for PSHA...
Published in: | Soil Dynamics and Earthquake Engineering |
---|---|
Main Authors: | , , , |
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
Elsevier BV
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10754/630698 https://doi.org/10.1016/j.soildyn.2018.11.014 |
id |
ftkingabdullahun:oai:repository.kaust.edu.sa:10754/630698 |
---|---|
record_format |
openpolar |
spelling |
ftkingabdullahun:oai:repository.kaust.edu.sa:10754/630698 2024-01-07T09:44:10+01:00 Selection of earthquake ground motion models using the deviance information criterion Kowsari, Milad Halldorsson, Benedikt Hrafnkelsson, Birgir Jonsson, Sigurjon Crustal Deformation and InSAR Group Earth Science and Engineering Program Physical Science and Engineering (PSE) Division Earthquake Engineering Research Centre & Faculty of Civil and Environmental Engineering, School of Engineering and Natural Sciences, University of Iceland, Selfoss, , Iceland Geoscience Research Group, Division of Processing and Research, Icelandic Meteorological Office, Reykjavík, , Iceland Department of Mathematics, Faculty of Physical Sciences, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, , Iceland 2018-12-07 http://hdl.handle.net/10754/630698 https://doi.org/10.1016/j.soildyn.2018.11.014 unknown Elsevier BV https://www.sciencedirect.com/science/article/pii/S026772611830530X Kowsari M, Halldorsson B, Hrafnkelsson B, Jónsson S (2019) Selection of earthquake ground motion models using the deviance information criterion. Soil Dynamics and Earthquake Engineering 117: 288–299. Available: http://dx.doi.org/10.1016/j.soildyn.2018.11.014. doi:10.1016/j.soildyn.2018.11.014 0267-7261 Soil Dynamics and Earthquake Engineering http://hdl.handle.net/10754/630698 DIC GMM PSHA Uncertainties Article 2018 ftkingabdullahun https://doi.org/10.1016/j.soildyn.2018.11.014 2023-12-09T20:20:10Z In this study, we propose a data-driven method using the Deviance Information Criterion (DIC) to select the most suitable earthquake ground motion model (GMM) for application in probabilistic seismic hazard analysis (PSHA). The standard deviation (sigma) of the GMM is an important parameter for PSHA and plays an important role in data-driven methods. The main advantage of the proposed procedure is to introduce the posterior sigma as the key quantity for objectively ranking different candidate models against a given earthquake ground motion dataset. In the context of the Bayesian statistical framework, sigma is then determined for a given GMM based on the observed ground motions and at the same time takes into account the misfit of the GMM predictions to the observed ground motions. This feature addresses issues associated with other ranking methods where in some cases a considerable bias between the GMM predictions and the observed ground motions is effectively ignored. On the contrary, the DIC considers the influence of these two factors together by ranking models more favorably when they are associated with smaller bias and the determined sigma is close to the actual variability of the ground motions in the region under study. We submit the DIC method of this study as a useful and objective method for evaluating the performance of a GMM to a given dataset. This has potentially important application for PSHA when using multiple GMMs and either logic tree or backbone approaches are required to handle epistemic uncertainty in an appropriate manner. This study was funded by the Icelandic Centre for Research Grant of Excellence (No. 141261051/52/53), the Eimskip Doctoral Fund of the University of Iceland and the Research Fund of the University of Iceland. The authors gratefully acknowledge the support. Article in Journal/Newspaper Iceland King Abdullah University of Science and Technology: KAUST Repository Soil Dynamics and Earthquake Engineering 117 288 299 |
institution |
Open Polar |
collection |
King Abdullah University of Science and Technology: KAUST Repository |
op_collection_id |
ftkingabdullahun |
language |
unknown |
topic |
DIC GMM PSHA Uncertainties |
spellingShingle |
DIC GMM PSHA Uncertainties Kowsari, Milad Halldorsson, Benedikt Hrafnkelsson, Birgir Jonsson, Sigurjon Selection of earthquake ground motion models using the deviance information criterion |
topic_facet |
DIC GMM PSHA Uncertainties |
description |
In this study, we propose a data-driven method using the Deviance Information Criterion (DIC) to select the most suitable earthquake ground motion model (GMM) for application in probabilistic seismic hazard analysis (PSHA). The standard deviation (sigma) of the GMM is an important parameter for PSHA and plays an important role in data-driven methods. The main advantage of the proposed procedure is to introduce the posterior sigma as the key quantity for objectively ranking different candidate models against a given earthquake ground motion dataset. In the context of the Bayesian statistical framework, sigma is then determined for a given GMM based on the observed ground motions and at the same time takes into account the misfit of the GMM predictions to the observed ground motions. This feature addresses issues associated with other ranking methods where in some cases a considerable bias between the GMM predictions and the observed ground motions is effectively ignored. On the contrary, the DIC considers the influence of these two factors together by ranking models more favorably when they are associated with smaller bias and the determined sigma is close to the actual variability of the ground motions in the region under study. We submit the DIC method of this study as a useful and objective method for evaluating the performance of a GMM to a given dataset. This has potentially important application for PSHA when using multiple GMMs and either logic tree or backbone approaches are required to handle epistemic uncertainty in an appropriate manner. This study was funded by the Icelandic Centre for Research Grant of Excellence (No. 141261051/52/53), the Eimskip Doctoral Fund of the University of Iceland and the Research Fund of the University of Iceland. The authors gratefully acknowledge the support. |
author2 |
Crustal Deformation and InSAR Group Earth Science and Engineering Program Physical Science and Engineering (PSE) Division Earthquake Engineering Research Centre & Faculty of Civil and Environmental Engineering, School of Engineering and Natural Sciences, University of Iceland, Selfoss, , Iceland Geoscience Research Group, Division of Processing and Research, Icelandic Meteorological Office, Reykjavík, , Iceland Department of Mathematics, Faculty of Physical Sciences, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, , Iceland |
format |
Article in Journal/Newspaper |
author |
Kowsari, Milad Halldorsson, Benedikt Hrafnkelsson, Birgir Jonsson, Sigurjon |
author_facet |
Kowsari, Milad Halldorsson, Benedikt Hrafnkelsson, Birgir Jonsson, Sigurjon |
author_sort |
Kowsari, Milad |
title |
Selection of earthquake ground motion models using the deviance information criterion |
title_short |
Selection of earthquake ground motion models using the deviance information criterion |
title_full |
Selection of earthquake ground motion models using the deviance information criterion |
title_fullStr |
Selection of earthquake ground motion models using the deviance information criterion |
title_full_unstemmed |
Selection of earthquake ground motion models using the deviance information criterion |
title_sort |
selection of earthquake ground motion models using the deviance information criterion |
publisher |
Elsevier BV |
publishDate |
2018 |
url |
http://hdl.handle.net/10754/630698 https://doi.org/10.1016/j.soildyn.2018.11.014 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://www.sciencedirect.com/science/article/pii/S026772611830530X Kowsari M, Halldorsson B, Hrafnkelsson B, Jónsson S (2019) Selection of earthquake ground motion models using the deviance information criterion. Soil Dynamics and Earthquake Engineering 117: 288–299. Available: http://dx.doi.org/10.1016/j.soildyn.2018.11.014. doi:10.1016/j.soildyn.2018.11.014 0267-7261 Soil Dynamics and Earthquake Engineering http://hdl.handle.net/10754/630698 |
op_doi |
https://doi.org/10.1016/j.soildyn.2018.11.014 |
container_title |
Soil Dynamics and Earthquake Engineering |
container_volume |
117 |
container_start_page |
288 |
op_container_end_page |
299 |
_version_ |
1787425505772830720 |