Wind turbine audibility and noise annoyance in a national U.S. survey: Individual perception and influencing factors.


Journal

The Journal of the Acoustical Society of America
ISSN: 1520-8524
Titre abrégé: J Acoust Soc Am
Pays: United States
ID NLM: 7503051

Informations de publication

Date de publication:
08 2019
Historique:
entrez: 2 9 2019
pubmed: 2 9 2019
medline: 2 9 2019
Statut: ppublish

Résumé

With results from a nationwide survey sponsored by the U.S. Department of Energy, factors that affect outdoor audibility and noise annoyance of wind turbines were evaluated. Wind turbine and summer daytime median background sound levels were estimated for 1043 respondents. Wind turbine sound level was the most robust predictor of audibility yet only a weak, albeit significant, predictor of noise annoyance. For each 1 dB increase in wind turbine sound level (L

Identifiants

pubmed: 31472564
doi: 10.1121/1.5121309
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1124

Auteurs

T Ryan Haac (TR)

RSG, 55 Railroad Row, White River Junction, Vermont 05001, USA.

Kenneth Kaliski (K)

RSG, 55 Railroad Row, White River Junction, Vermont 05001, USA.

Matthew Landis (M)

RSG, 55 Railroad Row, White River Junction, Vermont 05001, USA.

Ben Hoen (B)

Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.

Joseph Rand (J)

Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.

Jeremy Firestone (J)

College of Earth, Ocean, and Environment, University of Delaware, Newark, Delaware 19716, USA.

Debi Elliott (D)

Survey Research Lab, Portland State University, Portland, Oregon 97207, USA.

Gundula Hübner (G)

Institute of Psychology, Martin-Luther-Universität Halle-Wittenberg, 06099 Halle, Germany.

Johannes Pohl (J)

Institute of Psychology, Martin-Luther-Universität Halle-Wittenberg, 06099 Halle, Germany.

Classifications MeSH