Data · dataset · 2025
Measures for seismic signal levels of wind turbine emissions
Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/ufh39015nnfszzhh
Seismic signals as are emitted by wind turbines can be rather narrow band and appear as distinct peaks in a spectral analysis.
Description
Nevertheless, their signal phase is suffiently stochastic so that power spectral density (PSD) is an accurate and robust measure of the signal level and its spectral distribution. A conservative smoothing over a narrow bandwidth (as small as 0.01 Hz) reduces the stochastic scatter while preserving the information on spectral variability.
Values of rms-amplitude in a finite bandwidth can easily be computed from PSD and would represent the time domain signal background. This measure is helpful to estimate the signal-to-noise ratio for earthquake peak amplitudes. Amplitude values, however, are somewhat arbitrary because they are larger the wider the chosen bandwidth.
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A Jupyter notebook written in python is provided to test these concepts with various parameters on actual seismic recordings. A phase-coherent harmonic, for which PSD is mathematically infinite, is injected in the recorded data. By comparison with their signature the analysis demonstrates that the wind-turbine generated signals are not subject to scaling artefacts of PSD.
The results are summarized in a presentation given at the 2025 annual conference of AG Seismologie in Kiel (Germany) at the meeting of the task group 'Auswertung seismologischer Signale von Windenergie-Anlagen' (Evaluation of seismological signals from wind turbines).
Links
Where it is published
- DOI doi.org/10.35097/ufh39015nnfszzhh ↗
DOI / persistent id · from radar service eu de
Catalogue records · 1
- OAI-PMH record radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier… ↗
metadata API · from radar service eu de
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Physics · Physics
- Inferred from text
- Pollution and contamination 70%
Provenance · 2 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RADAR | 10.35097/ufh39015nnfszzhh | 10 d ago | JSON v1 |
| RADAR4Memory | 10.35097/ufh39015nnfszzhh | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].anzsrc:group:4105 | enrichment · radar service eu de | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| concepts[field].local:field:physics | mapping · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| concepts[field].local:field:physics | mapping · radar4memory radar service eu | connector:radar4memory_radar_service_eu@1.0.0 | |
| description | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/description |
| license | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/rights |
| publication_date | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | |
| title | source · radar service eu de | connector:radar_service_eu_de@1.0.0 | /metadata/dc/title |