Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10132100 | Soil Dynamics and Earthquake Engineering | 2018 | 7 Pages |
Abstract
This paper presents a new copula-based earthquake early warning (EEW) decision-making strategy, aiming to characterize missed-alarm and false-alarm probabilities for an on-site EEW and determine an optimum threshold at which EEW should be set off with the lowest missed-alarm and false-alarm probabilities combined. On the basis of an existing PD3-PGV (PD3: peak ground displacement within the first three seconds after P-wave arrives; PGV: peak ground velocity) on-site EEW, the analysis shows that a copula model consisting of the Lognormal distribution, Weibull distribution, and Frank copula can satisfactorily model the PD3-PGV joint probability distribution. Accordingly, the optimum PD3 triggering thresholds for different PGV warning thresholds from 5 to 35â¯cm/s are presented for future references in the use of the PD3-PGV on-site EEW with maximum reliability.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geotechnical Engineering and Engineering Geology
Authors
J.P. Wang, Xiao-Song Tang, Yih-Min Wu, Dian-Qing Li,