Work

hvarma: Autoregressive moving average model of microtremor H/V spectral ratio

Year: 2025

Type: article

Abstract: 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. • hvarma: Python software to estimate H / V spectral ratios. • hvarma models the H / V transfer function using ARMA filters. • High-resolution resonance frequencies are an outcome of hvarma. • hvarma plots and saves the H / V transfer function and coherence. • hvarma is designed to be portable and flexible.

Source: Software Impacts

DOI: 10.1016/j.simpa.2025.100745

Authors: Aleix Seguí, Arantza Ugalde, Juan José Egozcue

Institutions: Universitat Politècnica de Catalunya, Consejo Superior de Investigaciones Científicas

Language: English

Topic: Seismic Waves and Analysis

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $600

Funder: Generalitat de Catalunya