Estimating annoyance to calculated wind turbine shadow flicker is improved when variables associated with wind turbine noise exposure are considered

• Published in: The Journal of the Acoustical Society of America Vol. 139; no. 3; pp. 1480 - 1492
• Main Authors: Voicescu, Sonia A., Michaud, David S., Feder, Katya, Marro, Leonora, Than, John, Guay, Mireille, Denning, Allison, Bower, Tara, van den Berg, Frits, Broner, Norm, Lavigne, Eric
• Format: Journal Article
• Language: English
• Published: United States 01.03.2016
• ISSN: 0001-4966; 1520-8524
• DOI: 10.1121/1.4942403

The Community Noise and Health Study conducted by Health Canada included randomly selected participants aged 18–79 yrs (606 males, 632 females, response rate 78.9%), living between 0.25 and 11.22 km from operational wind turbines. Annoyance to wind turbine noise (WTN) and other features, including shadow flicker (SF) was assessed. The current analysis reports on the degree to which estimating high annoyance to wind turbine shadow flicker (HAWTSF) was improved when variables known to be related to WTN exposure were also considered. As SF exposure increased [calculated as maximum minutes per day (SF m )], HAWTSF increased from 3.8% at 0 ≤ SF m  < 10 to 21.1% at SF m  ≥ 30, p < 0.0001. For each unit increase in SF m the odds ratio was 2.02 [95% confidence interval: (1.68,2.43)]. Stepwise regression models for HAWTSF had a predictive strength of up to 53% with 10% attributed to SF m . Variables associated with HAWTSF included, but were not limited to, annoyance to other wind turbine-related features, concern for physical safety, and noise sensitivity. Reported dizziness was also retained in the final model at p = 0.0581. Study findings add to the growing science base in this area and may be helpful in identifying factors associated with community reactions to SF exposure from wind turbines.