hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
2025
Seguí, Aleix | Ugalde, Arantza | Egozcue, Juan J. | Agencia Estatal de Investigación (España)
6 pages, 3 figures, 3 tables
显示更多 [+] 显示较少 [-]hvarma is a Python software for estimating the horizontal-to-vertical (H/V) spectral ratio through seismic ambient vibration measurements. It employs a parametric approach to model the H/V transfer function using an AutoRegressive Moving Average (ARMA) filter. Compared to traditional methods, this technique enhances accuracy and reliability in spectral estimates, determining the ground fundamental resonance frequency with high spectral resolution, which is important for engineering geology projects. The program inverts to find optimal filter coefficients and computes coherence between horizontal and vertical components, generating H/V transfer function visualizations across both negative and positive frequencies. Results are saved as image and text files
显示更多 [+] 显示较少 [-]This work recognizes the accreditation of the Severo Ochoa Centre of Excellence (CEX2019-000928-S)
显示更多 [+] 显示较少 [-]Peer reviewed
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