Bulletin of the Seismological Society of America· 2026Q1
Ground-Motion Models for 5% Damped PSA for Shallow Crustal Earthquakes in Northern Vietnam
- 0citations
- Q1SCImago
- 2026year
Short summary
A new nonergodic ground-motion model (GMM) for Northern Vietnam (NVN) reduces aleatory standard deviation to 0.72, significantly improving ground motion prediction accuracy compared to an ergodic GMM (1.0).
AI-generated from the title and abstract; the full text is not read.
Key points
- A nonergodic ground-motion model (GMM) was developed for Northern Vietnam, adapting the ASK14 GMM with local data.
- The nonergodic GMM reduces aleatory standard deviation to 0.72, improving accuracy over the ergodic GMM (1.0).
- Spatially varying coefficients based on earthquake and station coordinates enhance prediction accuracy.
- The ergodic GMM's higher standard deviation is attributed to geological variations, such as sediment basins near Hanoi and hard-rock sites in mountainous areas.
AI-generated from the title and abstract; the full text is not read.
Abstract
ABSTRACT This study presents a ground-motion model (GMM) for Northern Vietnam (NVN). The reference global GMM given by Abrahamson et al. (2014; hereafter, ASK14) is regionalized to NVN using a local data set that contained data recorded at 83 stations from 229 shallow crustal earthquakes (focal depth ≤35 km) in the moment magnitude (Mw) range of 3.0–5.9. The global ASK14 GMM is adjusted to the NVN region by modifying the small-magnitude scaling and distance attenuation but maintaining the large-magnitude and short-distance scaling to constrain the extrapolation of the GMM outside the range of the NVN data. The magnitude-dependent standard deviation was also adjusted based on the local data from NVN. We introduce spatially varying coefficients that adjust the median prediction of the adjusted ASK14 for the NVN region as a function of the earthquake and the station coordinates. The resulting nonergodic GMM increases the accuracy of the estimated ground motion as compared with the regionalized ergodic GMM. The nonergodic GMM has an aleatory standard deviation of 0.72 compared to the ergodic standard deviation of 1.0. The nonergodic GMM can be used to develop design ground motions using either deterministic or probabilistic approaches. The ergodic standard deviation is larger than the values usually seen in other active regions. These large values are likely caused by the variability of the geological conditions within NVN: at sites located near Hanoi, there is a large and deep sediment basin, whereas at sites located in the mountainous area in the northwestern region, there are hard-rock site conditions.
The authors' abstract, as published at the source. Bulletin of the Seismological Society of America, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Civil and Structural Engineering
Civil and Structural EngineeringEngineering