Articles | Volume 14, issue 7
https://doi.org/10.5194/se-14-785-2023
https://doi.org/10.5194/se-14-785-2023
Research article
 | 
18 Jul 2023
Research article |  | 18 Jul 2023

Ground motion emissions due to wind turbines: observations, acoustic coupling, and attenuation relationships

Laura Gaßner and Joachim Ritter

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Cited articles

Bundesnetzagentur: Marktstammdatenregister, Bundesnetzagentur, https://www.marktstammdatenregister.de/MaStR/ (last access: 10 Juni 2023), 2022. a, b
DIN 4150-2:1999-06: Erschütterungen im Bauwesen - Teil 2: Einwirkungen auf Menschen in Gebäuden, 2023 Beuth Verlag GmbH, https://www.beuth.de/de/norm/din-4150-2/12168614 (last access: 10 Juni 2023), 1999. a
Estrella, H. F., Korn, M., and Alberts, K.: Analysis of the influence of wind turbine noise on seismic recordings at two wind parks in Germany, Journal of Geoscience and Environment Protection, 5, 76–91, 2017. a
FA Wind: Hemmnisse beim Ausbau der Windenergie in Deutschland – Ergebnisse einer Branchenumfrage (engl.: Obstacles to the expansion of wind energy in Germany – results of an industry survey), Fachagentur Windenergie an Land, https://www.fachagentur-windenergie.de/fileadmin/files/Veroeffentlichungen/Analysen/FA_Wind_Branchenumfrage_beklagte_WEA_Hemmnisse_DVOR_und_Militaer_07-2019.pdf (last access: 10 Juni 2023), 2019. a
Gaßner, L., Blumendeller, E., Müller, F. J. Y., Wigger, M., Rettenmeier, A., Cheng, P. W., Hübner, G., Ritter, J., and Pohl, J.: Joint Analysis of Resident Complaints, Meteorological, Acoustic, and Ground Motion Data to Establish a Robust Annoyance Evaluation of Wind Turbine Emissions, Renew. Energ., 188, 1072–1093, https://doi.org/10.1016/j.renene.2022.02.081, 2022. a, b, c, d, e
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Short summary
In this work we analyze signals emitted from wind turbines. They induce sound as well as ground motion waves which propagate through the subsurface and are registered by sensitive instruments. In our data we observe when these signals are present and how strong they are. Some signals are present in ground motion and sound data, providing the opportunity to study similarities and better characterize emissions. Furthermore, we study the amplitudes with distance to improve the signal prediction.