Articles | Volume 20, issue 3
https://doi.org/10.5194/nhess-20-743-2020
https://doi.org/10.5194/nhess-20-743-2020
Research article
 | 
23 Mar 2020
Research article |  | 23 Mar 2020

Real-time probabilistic seismic hazard assessment based on seismicity anomaly

Yu-Sheng Sun, Hsien-Chi Li, Ling-Yun Chang, Zheng-Kai Ye, and Chien-Chih Chen

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (08 Dec 2019) by Filippos Vallianatos
AR by Yu-Sheng Sun on behalf of the Authors (11 Dec 2019)  Author's response    Manuscript
ED: Publish as is (29 Jan 2020) by Filippos Vallianatos

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Yu-Sheng Sun on behalf of the Authors (06 Mar 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (07 Mar 2020) by Filippos Vallianatos
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Short summary
Real-time probabilistic seismic hazard assessment (PSHA) was developed in consideration of its practicability for daily life and the rate of seismic activity with time. We selected the 2016 Meinong (ML 6.6) and the 2018 Hualien (ML 6.2) earthquakes in Taiwan as examples. The seismic intensity forecasting maps produced by the real-time PSHA facilitated the forecast of the maximum expected seismic intensity for the following 90 d. Compared with real data the maps showed considerable effectiveness.
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