Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka
This study examines the effect of the procedures used in three different probabilistic seismic hazard analysis (PSHA) methods for estimating the rates of exceedance of ground motion. To evaluate the effect of these procedures, the Cornell–McGuire and Parametric-Historic methods, and the method based...
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ftunivpretoria:oai:repository.up.ac.za:2263/71295 2023-05-15T16:58:59+02:00 Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka Pavlenko, V.A. (Vasily) Kijko, Andrzej 2019-09-09T10:20:39Z http://hdl.handle.net/2263/71295 https://doi.org/10.1007/s11069-019-03674-5 en eng Springer http://hdl.handle.net/2263/71295 Pavlenko, V.A. & Kijko, A. Comparative study of three probabilistic methods for seismic hazard analysis: case studies of Sochi and Kamchatka. Natural Hazards (2019) 97: 775-791. https://doi.org/10.1007/s11069-019-03674-5. 0921-030X (print) 1573-0840 (online) doi:10.1007/s11069-019-03674-5 © Springer Nature B.V. 2019. The original publication is available at : http://link.springer.comjournal/11069. Probabilistic seismic hazard analysis (PSHA) Cornell–McGuire method Parametric-historic method Monte Carlo simulations Postprint Article 2019 ftunivpretoria https://doi.org/10.1007/s11069-019-03674-5 2022-05-31T13:38:13Z This study examines the effect of the procedures used in three different probabilistic seismic hazard analysis (PSHA) methods for estimating the rates of exceedance of ground motion. To evaluate the effect of these procedures, the Cornell–McGuire and Parametric-Historic methods, and the method based on Monte Carlo simulations are employed, and the seismic source model, based on spatially smoothed seismicity, is used in the calculations. Two regions in Russia were selected for comparison, and seismic hazard maps were prepared for return periods of 475 and 2475 years. The results indicate that the choice of a particular method for conducting PSHA has relatively little effect on the hazard estimates. The Cornell–McGuire method yielded the highest estimates, with the two other methods producing slightly lower estimates. The variation among the results based on the three methods appeared to be virtually independent of the return period. The variation in the results for the Sochi region was within 6%, and that for the Kamchatka region was within 10%. Accordingly, the considered PSHA methods would provide closely related results for areas of moderate seismic activity; however, the difference among the results would apparently increase with an increase in seismic activity. http://link.springer.com/journal/11069 2020-06-01 hj2019 Geology Article in Journal/Newspaper Kamchatka University of Pretoria: UPSpace Natural Hazards 97 2 775 791 |
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University of Pretoria: UPSpace |
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ftunivpretoria |
language |
English |
topic |
Probabilistic seismic hazard analysis (PSHA) Cornell–McGuire method Parametric-historic method Monte Carlo simulations |
spellingShingle |
Probabilistic seismic hazard analysis (PSHA) Cornell–McGuire method Parametric-historic method Monte Carlo simulations Pavlenko, V.A. (Vasily) Kijko, Andrzej Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka |
topic_facet |
Probabilistic seismic hazard analysis (PSHA) Cornell–McGuire method Parametric-historic method Monte Carlo simulations |
description |
This study examines the effect of the procedures used in three different probabilistic seismic hazard analysis (PSHA) methods for estimating the rates of exceedance of ground motion. To evaluate the effect of these procedures, the Cornell–McGuire and Parametric-Historic methods, and the method based on Monte Carlo simulations are employed, and the seismic source model, based on spatially smoothed seismicity, is used in the calculations. Two regions in Russia were selected for comparison, and seismic hazard maps were prepared for return periods of 475 and 2475 years. The results indicate that the choice of a particular method for conducting PSHA has relatively little effect on the hazard estimates. The Cornell–McGuire method yielded the highest estimates, with the two other methods producing slightly lower estimates. The variation among the results based on the three methods appeared to be virtually independent of the return period. The variation in the results for the Sochi region was within 6%, and that for the Kamchatka region was within 10%. Accordingly, the considered PSHA methods would provide closely related results for areas of moderate seismic activity; however, the difference among the results would apparently increase with an increase in seismic activity. http://link.springer.com/journal/11069 2020-06-01 hj2019 Geology |
format |
Article in Journal/Newspaper |
author |
Pavlenko, V.A. (Vasily) Kijko, Andrzej |
author_facet |
Pavlenko, V.A. (Vasily) Kijko, Andrzej |
author_sort |
Pavlenko, V.A. (Vasily) |
title |
Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka |
title_short |
Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka |
title_full |
Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka |
title_fullStr |
Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka |
title_full_unstemmed |
Comparative study of three probabilistic methods for seismic hazard analysis : case studies of Sochi and Kamchatka |
title_sort |
comparative study of three probabilistic methods for seismic hazard analysis : case studies of sochi and kamchatka |
publisher |
Springer |
publishDate |
2019 |
url |
http://hdl.handle.net/2263/71295 https://doi.org/10.1007/s11069-019-03674-5 |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_relation |
http://hdl.handle.net/2263/71295 Pavlenko, V.A. & Kijko, A. Comparative study of three probabilistic methods for seismic hazard analysis: case studies of Sochi and Kamchatka. Natural Hazards (2019) 97: 775-791. https://doi.org/10.1007/s11069-019-03674-5. 0921-030X (print) 1573-0840 (online) doi:10.1007/s11069-019-03674-5 |
op_rights |
© Springer Nature B.V. 2019. The original publication is available at : http://link.springer.comjournal/11069. |
op_doi |
https://doi.org/10.1007/s11069-019-03674-5 |
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Natural Hazards |
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