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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.24121 |
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| _version_ | 1866914062603911168 |
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| author | Fathizadeh, Mersad Wood, Clinton M. Kianfar, Hosna |
| author_facet | Fathizadeh, Mersad Wood, Clinton M. Kianfar, Hosna |
| contents | The horizontal-to-vertical spectral ratio (HVSR) technique is widely used to determine site fundamental periods from ambient noise recordings, but relating the observed peak to a specific impedance contrast within layered soils remains challenging. This paper presents an enhanced implementation of hvstrip-progressive, a Python package for forward HVSR modelling under the diffuse-field assumption and systematic progressive layer stripping. The package computes theoretical HVSR curves from shear-wave velocity (Vs) profiles, iteratively removes the deepest finite layer and promotes the next layer to half-space, and tracks how the fundamental frequency and amplitude change with each step. Compared with previous implementations, the software now supports adaptive frequency scanning, rigorous model validation, and publication-quality visualizations. Using a synthetic seven-layer soil profile, we show that the fundamental peak shifts from 6.99 Hz to 23.45 Hz as layers are stripped and that the maximum impedance contrast of 1.46 at 17 m depth controls the resonance. The transparent workflow, reproducible outputs and open-source distribution make hvstrip-progressive a practical tool for seismic site characterization and microzonation studies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_24121 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Progressive Layer Stripping Analysis for HVSR Interpretation Fathizadeh, Mersad Wood, Clinton M. Kianfar, Hosna Geophysics The horizontal-to-vertical spectral ratio (HVSR) technique is widely used to determine site fundamental periods from ambient noise recordings, but relating the observed peak to a specific impedance contrast within layered soils remains challenging. This paper presents an enhanced implementation of hvstrip-progressive, a Python package for forward HVSR modelling under the diffuse-field assumption and systematic progressive layer stripping. The package computes theoretical HVSR curves from shear-wave velocity (Vs) profiles, iteratively removes the deepest finite layer and promotes the next layer to half-space, and tracks how the fundamental frequency and amplitude change with each step. Compared with previous implementations, the software now supports adaptive frequency scanning, rigorous model validation, and publication-quality visualizations. Using a synthetic seven-layer soil profile, we show that the fundamental peak shifts from 6.99 Hz to 23.45 Hz as layers are stripped and that the maximum impedance contrast of 1.46 at 17 m depth controls the resonance. The transparent workflow, reproducible outputs and open-source distribution make hvstrip-progressive a practical tool for seismic site characterization and microzonation studies. |
| title | Progressive Layer Stripping Analysis for HVSR Interpretation |
| topic | Geophysics |
| url | https://arxiv.org/abs/2509.24121 |