The University of Southampton
University of Southampton Institutional Repository

Probabilistic seismic‐hazard assessment for Eritrea

Probabilistic seismic‐hazard assessment for Eritrea
Probabilistic seismic‐hazard assessment for Eritrea
To date little is known about seismic hazard in Eritrea, despite its location in a volcanically and tectonically active region, and the gathering pace of major infrastructure projects. In response, we report the findings of a comprehensive probabilistic seismic‐hazard assessment for Eritrea and adjacent areas. Seismic source and ground‐motion models are constructed separately; we use an adaptive spatiotemporal smoothing method to map expected patterns of seismicity. To construct a consistent earthquake catalog from different data sets, we use orthogonal regression to convert and unify different magnitude scales. A sensitivity analysis of the different input parameters helps constrain them and disaggregation of site‐specific hazard estimates yields insights into the relative contribution from seismic sources of different magnitudes and distances. The results highlight seismic hazard in proximity to the Red Sea, Gulf of Aden, Afar depression, and along the boundaries of the Danakil microplate. We estimate a 10% chance over 50 years of observing pseudospectral accelerations (PSAs) at 0.2 s exceeding 0.16g in the port city of Massawa (population ∼32,000) and the town of Bada (population ∼4000). For the capital, Asmara (population ∼520,000), we calculate a PSA of 0.11g at 0.2 s. Compared with previous studies, our results provide greater spatial resolution, use more recent ground‐motion models, and benefit from a smoothed seismicity method. Our aims are to stimulate further studies and contribute to the safe development of the region in light of its exposure to seismic hazards.
0037-1106
1478-1494
Goitom, Berhe
2dcaea8e-cdd3-4b05-a4a0-04481da83881
Werner, Maximilian J.
ff3cf263-789c-4801-823a-870d165fb43b
Goda, Katsuichiro
466e59f2-ee55-479b-801e-30c27bfc01b9
Kendall, J.‐michael
746f7fc0-ee9e-4436-89d6-a6f26cdec6aa
Hammond, James O. S.
f376d740-07a8-47f7-a6cd-15cc7950a2d5
Ogubazghi, Ghebrebrhan
60a848e2-bee8-44dd-a3d3-46f4b76d3f78
Oppenheimer, Clive
bd6963f0-5ea2-4bd3-8ac1-06d7aa0f30ec
Helmstetter, Agnes
7d6a5347-d361-4d41-ad01-06d643b46d31
Keir, Derek
5616f81f-bf1b-4678-a167-3160b5647c65
Illsley-Kemp, Finnigan
c24ef4cb-cbf9-4a58-af8d-da9c7eabd84d
Goitom, Berhe
2dcaea8e-cdd3-4b05-a4a0-04481da83881
Werner, Maximilian J.
ff3cf263-789c-4801-823a-870d165fb43b
Goda, Katsuichiro
466e59f2-ee55-479b-801e-30c27bfc01b9
Kendall, J.‐michael
746f7fc0-ee9e-4436-89d6-a6f26cdec6aa
Hammond, James O. S.
f376d740-07a8-47f7-a6cd-15cc7950a2d5
Ogubazghi, Ghebrebrhan
60a848e2-bee8-44dd-a3d3-46f4b76d3f78
Oppenheimer, Clive
bd6963f0-5ea2-4bd3-8ac1-06d7aa0f30ec
Helmstetter, Agnes
7d6a5347-d361-4d41-ad01-06d643b46d31
Keir, Derek
5616f81f-bf1b-4678-a167-3160b5647c65
Illsley-Kemp, Finnigan
c24ef4cb-cbf9-4a58-af8d-da9c7eabd84d

Goitom, Berhe, Werner, Maximilian J., Goda, Katsuichiro, Kendall, J.‐michael, Hammond, James O. S., Ogubazghi, Ghebrebrhan, Oppenheimer, Clive, Helmstetter, Agnes, Keir, Derek and Illsley-Kemp, Finnigan (2017) Probabilistic seismic‐hazard assessment for Eritrea. Bulletin of the Seismological Society of America, 107 (3), 1478-1494. (doi:10.1785/0120160210).

Record type: Article

Abstract

To date little is known about seismic hazard in Eritrea, despite its location in a volcanically and tectonically active region, and the gathering pace of major infrastructure projects. In response, we report the findings of a comprehensive probabilistic seismic‐hazard assessment for Eritrea and adjacent areas. Seismic source and ground‐motion models are constructed separately; we use an adaptive spatiotemporal smoothing method to map expected patterns of seismicity. To construct a consistent earthquake catalog from different data sets, we use orthogonal regression to convert and unify different magnitude scales. A sensitivity analysis of the different input parameters helps constrain them and disaggregation of site‐specific hazard estimates yields insights into the relative contribution from seismic sources of different magnitudes and distances. The results highlight seismic hazard in proximity to the Red Sea, Gulf of Aden, Afar depression, and along the boundaries of the Danakil microplate. We estimate a 10% chance over 50 years of observing pseudospectral accelerations (PSAs) at 0.2 s exceeding 0.16g in the port city of Massawa (population ∼32,000) and the town of Bada (population ∼4000). For the capital, Asmara (population ∼520,000), we calculate a PSA of 0.11g at 0.2 s. Compared with previous studies, our results provide greater spatial resolution, use more recent ground‐motion models, and benefit from a smoothed seismicity method. Our aims are to stimulate further studies and contribute to the safe development of the region in light of its exposure to seismic hazards.

Text
Probabilistic Seismic Hazard Assessment for Eritrea: Accepted Manuscript - Accepted Manuscript
Restricted to Repository staff only
Request a copy
Text
0120160210.full - Version of Record
Download (2MB)

More information

Accepted/In Press date: 17 March 2017
e-pub ahead of print date: 21 March 2017
Published date: 1 June 2017
Organisations: Ocean and Earth Science, Geology & Geophysics

Identifiers

Local EPrints ID: 410723
URI: http://eprints.soton.ac.uk/id/eprint/410723
ISSN: 0037-1106
PURE UUID: 0b066186-6cb1-42dd-a815-e7b225a5d460
ORCID for Derek Keir: ORCID iD orcid.org/0000-0001-8787-8446
ORCID for Finnigan Illsley-Kemp: ORCID iD orcid.org/0000-0002-7114-033X

Catalogue record

Date deposited: 09 Jun 2017 09:27
Last modified: 16 Mar 2024 05:15

Export record

Altmetrics

Contributors

Author: Berhe Goitom
Author: Maximilian J. Werner
Author: Katsuichiro Goda
Author: J.‐michael Kendall
Author: James O. S. Hammond
Author: Ghebrebrhan Ogubazghi
Author: Clive Oppenheimer
Author: Agnes Helmstetter
Author: Derek Keir ORCID iD
Author: Finnigan Illsley-Kemp ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×