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Peak ground acceleration estimation using P-wave parameters and horizontal-to-vertical spectral ratios
- Source :
- Terrestrial, Atmospheric and Oceanic Sciences, Vol 31, Iss 1, Pp 1-8 (2020)
- Publication Year :
- 2020
- Publisher :
- Springer, 2020.
-
Abstract
- Peak ground acceleration (PGA) can be used to estimate the seismic intensity. However, using P-wave features to estimate PGA is a challenging task. One of the reasons for that is that a seismic wave commonly undergoes modification due to various site effects, consequently leading to uncertainty in the predicted PGA. In order to accommodate site effects using site parameters together with P-wave parameters, this paper takes advantage of machine learning to consider multiple parameters simultaneously. Several artificial neural network (ANN) models considering different site effect parameters are constructed. The performances of these ANN models were investigated and compared. In total, 53531 ground motion data obtained from the Taiwan Strong Motion Instrumentation Program were utilized to develop the proposed approach. It was found that the proposed ANN model with horizontal-to-vertical spectral ratio parameters effectively reduces the error of the estimated PGA when compared with either the ANN model without site parameters or the ANN model with other site parameters.
- Subjects :
- Geology
QE1-996.5
Geophysics. Cosmic physics
QC801-809
Subjects
Details
- Language :
- English
- ISSN :
- 10170839 and 23117680
- Volume :
- 31
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Terrestrial, Atmospheric and Oceanic Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.02c1d59ccc73474796f3ccb2bcdcc7d1
- Document Type :
- article
- Full Text :
- https://doi.org/10.3319/TAO.2019.07.04.01