[ posts only (not attachments) ]

ISSUES/LOCATIONS

View titles only
(by date)
List all documents, ordered…

By Title

By Author

View PDF, DOC, PPT, and XLS files on line
RSS

Add NWW documents to your site (click here)

Sign up for daily updates

Keep Wind Watch online and independent!

Donate $10

Donate $5

News Watch

Selected Documents

Research Links

Alerts

Press Releases

FAQs

Publications & Products

Photos & Graphics

Videos

Allied Groups

Resource Documents: Prince Edward Island (5 items)

RSSPrince Edward Island

Documents presented here are not the product of nor are they necessarily endorsed by National Wind Watch. These resource documents are provided to assist anyone wishing to research the issue of industrial wind power and the impacts of its development. The information should be evaluated by each reader to come to their own conclusions about the many areas of debate.


Date added:  August 13, 2018
Health, Noise, Ontario, Prince Edward IslandPrint storyE-mail story

Derivation and application of a composite annoyance reaction construct based on multiple wind turbine features

Author:  Michaud, David; et al.

Abstract —
Objectives: Noise emissions from wind turbines are one of multiple wind turbine features capable of generating annoyance that ranges in magnitude from not at all annoyed to extremely annoyed. No analysis to date can simultaneously reflect the change in all magnitudes of annoyance toward multiple wind turbine features. The primary objective in this study was to use principal component analysis (PCA) to provide a single construct for overall annoyance to wind turbines based on reactions to noise, blinking lights, shadow flicker, visual impacts, and vibrations evaluated as a function of proximity to wind turbines.
Methods: The analysis was based on data originally collected as part of Health Canada’s cross-sectional Community Noise & Health Study (CNHS). One adult participant (18–79 years), randomly selected from dwellings in Ontario (ON) (n = 1011) and Prince Edward Island (PEI) (n = 227), completed an in-person questionnaire. Content relevant to the current analysis included the annoyance responses to wind turbines.
Results: The first construct tested in the PCA explained 58–69% of the variability in total annoyance. Reduced distance to turbines was associated with elevated aggregate annoyance scores among ON and PEI participants. In the ON sample, aggregate annoyance was effectively absent in areas beyond 5 km (mean 0.12; 95% CI 0.00, 1.19), increasing significantly between 2 and 5 km (mean 2.13; 95% CI 0.92, 3.33), remaining elevated, but with no further increase until (0.550–1] km (mean 3.37; 95% CI 3.02, 3.72). At ≤ 0.550 km, the average overall annoyance was 3.36 (95% CI 2.03, 4.69). In PEI, aggregate annoyance was essentially absent beyond 1 km; i.e., (1–2] km (mean 0.21; 95%CI 0.00, 0.88); 2–5 km (mean 0.00; 95%CI 0.00, 1.37); > 5 km (mean 0.00; 95%CI 0.00, 1.58). Annoyance significantly increased in areas between (0.550 and 1] km (mean 1.59; 95%CI 1.02, 2.15) and was highest within 550 m (mean 4.25; 95% CI 3.34, 5.16).
Conclusion: The advantages and disadvantages to an aggregated annoyance analysis, including how it should not yet be considered a substitute for relationships based on changes in high annoyance, are discussed.

David S. Michaud & James McNamee, Non-Ionizing Radiation Health Sciences Division, Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada
Leonora Marro, Biostatistics Section, Population Studies Division, Environmental Health Science and Research Bureau, Health Canada

Canadian Journal of Public Health (2018) 109:242–251
doi: 10.17269/s41997-018-0040-y

Download original document: “Derivation and application of a composite annoyance reaction construct based on multiple wind turbine features

Bookmark and Share


Date added:  August 13, 2018
Health, Noise, Ontario, Prince Edward IslandPrint storyE-mail story

Association between self-reported and objective measures of health and aggregate annoyance scores toward wind turbine installations

Author:  Michaud, David; et al.

Abstract —
Objective: An aggregate annoyance construct has been developed to account for annoyance that ranges from not at all annoyed to extremely annoyed, toward multiple wind turbine features. The practical value associated with aggregate annoyance would be strengthened if it was related to health. The objective of the current paper was to assess the association between aggregate annoyance and multiple measures of health.
Methods: The analysis was based on data originally collected as part of Health Canada’s Community Noise and Health Study (CNHS). One adult participant per dwelling (18–79 years), randomly selected from Ontario (ON) (n = 1011) and Prince Edward Island (PEI) (n = 227), completed an in-person questionnaire.
Results: The average aggregate annoyance score for participants who indicated they had a health condition (e.g., chronic pain, Pittsburgh Sleep Quality Index (PSQI) > 5, tinnitus, migraines/headaches, dizziness, highly sensitive to noise, and reported a high sleep disturbance) ranged from 2.53 to 3.72; the mean score for those who did not report these same conditions ranged between 0.96 and 1.41. Household complaints about wind turbine noise had the highest average aggregate annoyance (8.02), compared to an average of 1.39 among those who did not complain.
Conclusion: A mean aggregate annoyance score that could reliably distinguish participants who self-report health effects (or noise complaints) from those who do not could be one of several factors considered by jurisdictions responsible for decisions regarding wind turbine developments. However, the threshold value for acceptable changes and/or levels in aggregate annoyance has not yet been established and could be the focus of future research efforts.

David S. Michaud & James McNamee, Non-Ionizing Radiation Health Sciences Division, Consumer and Clinical Radiation Protection Bureau, Environmental and Radiation Health Sciences Directorate, Health Canada
Leonora Marro, Biostatistics Section, Population Studies Division, Environmental Health Science and Research Bureau, Health Canada

Canadian Journal of Public Health (2018) 109:252–260
doi: 10.17269/s41997-018-0041-x

Download original document: “The association between self-reported and objective measures of health and aggregate annoyance scores toward wind turbine installations

Bookmark and Share


Date added:  June 5, 2018
Health, Noise, Ontario, Prince Edward IslandPrint storyE-mail story

Using residential proximity to wind turbines as an alternative exposure measure to investigate the association between wind turbines and human health

Author:  Barry, Rebecca; Sulsky, Sandra; and Kreiger, Nancy

[Abstract] This analysis uses data from the Community Noise and Health Study developed by Statistics Canada to investigate the association between residential proximity to wind turbines and health-related outcomes in a dataset that also provides objective measures of wind turbine noise. The findings indicate that residential proximity to wind turbines is correlated with annoyance and health-related quality of life measures. These associations differ in some respects from associations with noise measurements. Results can be used to support discussions between communities and wind-turbine developers regarding potential health effects of wind turbines.

[Results] Results suggest that proximity to wind turbines is inversely associated with the environment domain quality of life score (β = 1.23, SE = 0.145, p = 0.046). This association suggests that every kilometre a person lives further away from a wind turbine is associated with a 1.23 point increase in score on the environmental health quality of life scale. A higher score is indicative of a higher environmental quality of life. … Distance to wind turbines was also found to be strongly associated with increased annoyance (OR = 0.19; 95% CI  = 0.07, 0.53, p = 0.001). This suggests that the odds of reporting being annoyed by a turbine are reduced by about 20% for every kilometer a person lives further away from a wind turbine. …

[Discussion] These results show that living closer in proximity to wind turbines is negatively correlated with self-rated environmental quality of life and physical health quality of life. These findings suggest that the mechanism of effect may not be noise, or not noise alone, and may include visual sight, vibrations, shadow flicker, sub-audible low frequency sound, or mechanisms that include individual subjective experiences and attitudes towards wind turbines. … Our findings strengthen the argument that wind turbines are associated with annoyance, as this association is now found with both modelled A-weighted sound pressure levels and with residential distance to wind turbines. Other research has found that individuals reporting annoyance due to environmental noise also report health conditions including ischemic heart disease, depression, and migraines.

Rebecca Barry and Nancy Kreiger, University of Toronto, Ontario, Canada
Sandra I. Sulsky, Ramboll Environ US, Amherst, Massachusetts

J. Acoust. Soc. Am. 143 (6), June 2018, 3278–3282
doi: 10.1121/1.5039840

Download original document: “Using residential proximity to wind turbines as an alternative exposure measure to investigate the association between wind turbines and human health

Bookmark and Share


Date added:  January 31, 2015
Noise, Ontario, Prince Edward Island, TechnologyPrint storyE-mail story

Analysis, modeling, and prediction of infrasound and low frequency noise from wind turbine installations

Author:  MG Acoustics

MG Acoustics has carried out the analysis, modeling, and prediction of infrasound and low frequency noise from wind turbines at two different sites, as part of the Health Canada study. This work has been divided into two parts, Phase 1 and Phase 2, associated with a Prince Edward Island site and a Southern Ontario site, respectively. There are several overall objectives:

Infrasound and low frequency noise from two wind turbine sites (PEI and Southern Ontario locations) has been addressed. This work allows Health Canada to evaluate whether or not infrasound and/or low frequency noise (from wind turbines in the locations specified) can be detected at different distances; and secondly to determine whether the Parabolic Equation method of calculation gives an adequate explanation of the experimental values with regards to infrasound and/low frequency and distances at which it can be detected. Thirdly, the results should allow Health Canada to reliably make infrasound and low frequency noise predictions (using Harmonoise) at southern Ontario sites.

The work has been completed in two phases:

1st Phase – Analysis of infrasound and low frequency noise measurements and analysis of meteorological data will be completed including the generation of theoretical predictions at the PEI site. This phase of the project has been described in the report “Analysis, Modeling, and Prediction of Infrasound and Low Frequency Noise from Wind Turbine Installation. Phase 1: PEI Site. Final Report”, submitted in February 2014.

2nd Phase – Modeling has been carried out and applied to wind turbines sites in southern Ontario. This phase of the project has been described in the report “Analysis, Modeling, and Prediction of Infrasound and Low Frequency Noise from Wind Turbine Installation. Phase 2: Southern Ontario Site. Final Report”, submitted in February 2014.

Wind turbine noise calculation results

This file presents results from the calculation of wind turbine noise levels for 1238 homes in the study. Noise results are presented according to the distance from the closest wind turbine to the participant’s home.

dBA calculations were based on wind turbine sound power levels from the manufacturers, which were verified for consistency with field measurements, and were derived according to international standards (ISO 9613-1 and ISO 9613-2), which were incorporated into a sound propagation modelling package (Cadna A version 4.4). The model also took into account geographical features which can influence sound propagation around the dwellings in the study, such as topography, vegetation and water features.

dBC noise levels were also derived from manufacturer supplied sound spectra and were supplemented by field measurements to extend the wind turbine sound power levels to lower frequencies (down to 16Hz). Following the same methodology and parameters that were used to determine A-weighted levels, the C-weighted sound levels were derived using the Cadna A version 4.4 software package.

The standard uncertainties in these results are +/- 30m for the distances to the nearset wind turbine and +/-5dB for the dBA and dBC noise levels for residences that are situated up to 1.6 km to the closest wind turbine. After 1.6 km, the uncertainties, evaluated according to the ISO 1996-2 standard, are derived according to the following formula: 1 + d/0.4, where d represents the distance to the nearest turbine (in km). As such, the uncertainty for a dwelling that is situated 10km away would be +/- 26 dB.

When examining these results, it is important to keep in mind that although some dwellings may be situated at approximately the same distance to the nearest wind turbine, they can receive different noise levels. This can be explained by the fact that each residence can be exposed to different numbers and models of wind turbines, which can generate more or less noise depending on their power output and physical characteristics, as well as the different geographical features that surround each residence, which can have an impact on noise propagation.

Bookmark and Share


Earlier Documents »

Get the Facts Follow Wind Watch on Twitter

Wind Watch on Facebook

Share

CONTACT DONATE PRIVACY ABOUT SEARCH
© National Wind Watch, Inc.
Use of copyrighted material adheres to Fair Use.
"Wind Watch" is a registered trademark.
Share

Wind Watch on Facebook

Follow Wind Watch on Twitter