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170 results on '"Hansen, Kristy"'

1. Long-term quantification and characterisation of wind farm noise amplitude modulation

Author

Nguyen, Phuc D., Hansen, Kristy L., Catcheside, Peter, Hansen, Colin, and Zajamsek, Branko

Subjects
Physics - Physics and Society, Physics - Data Analysis, Statistics and Probability
Abstract

The large-scale expansion of wind farms has prompted community debate regarding adverse impacts of wind farm noise (WFN). One of the most annoying and potentially sleep disturbing components of WFN is amplitude modulation (AM). Here we quantified and characterised AM over one year using acoustical and meteorological data measured at three locations near three wind farms. We found that the diurnal variation of outdoor AM prevalence was substantial, the nighttime prevalence was approximately 2 to 5 times higher than the daytime prevalence. On average, indoor AM occurred during the nighttime from 1.1 to 1.7 times less often than outdoor AM, but the indoor AM depth was higher than that measured outdoors. We observed an association between AM prevalence and sunset and sunrise. AM occurred more often at downwind and crosswind conditions. These findings provide important insights into long term WFN characteristics that will help to inform future WFN assessment guidelines.

Published
2022
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2. Multi-input model uncertainty analysis for long-range wind farm noise predictions

Author

Nguyen, Phuc D., Hansen, Kristy L., Zajamsek, Branko, Catcheside, Peter, and Hansen, Colin H.

Subjects
Physics - Atmospheric and Oceanic Physics, Physics - Data Analysis, Statistics and Probability
Abstract

One of the major sources of uncertainty in predictions of wind farm noise (WFN) reflect parametric and model structure uncertainty. The model structure uncertainty is a systematic uncertainty, which relates to uncertainty about the appropriate mathematical structure of the models. Here we quantified the model structure uncertainty in predicting WFN arising from multi-input models, including nine ground impedance and four wind speed profile models. We used a numerical ray tracing sound propagation model for predicting the noise level at different receivers. We found that variations between different ground impedance models and wind speed profile models were significant sources of uncertainty, and that these sources contributed to predicted noise level differences in excess of 10 dBA at distances greater than 3.5 km. We also found that differences between atmospheric vertical wind speed profile models were the main source of uncertainty in predicting WFN at long-range distances. When predicting WFN, it is important to acknowledge variability associated with different models as this contributes to the uncertainty of the predicted values.

Published
2022

27. Establishing the acute physiological and sleep disruption characteristics of wind farm versus road traffic noise disturbances in sleep: a randomized controlled trial protocol

Author

Micic, Gorica, primary, Zajamsek, Branko, additional, Lechat, Bastien, additional, Hansen, Kristy, additional, Scott, Hannah, additional, Toson, Barbara, additional, Liebich, Tessa, additional, Dunbar, Claire, additional, Nguyen, Duc Phuc, additional, Decup, Felix, additional, Vakulin, Andrew, additional, Lovato, Nicole, additional, Lack, Leon, additional, Hansen, Colin, additional, Bruck, Dorothy, additional, Chai-Coetzer, Ching Li, additional, Mercer, Jeremy, additional, Doolan, Con, additional, and Catcheside, Peter, additional

Published
2023
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33. A novel EEG marker predicts perceived sleepiness and poor sleep quality

Author

Lechat, Bastien, primary, Hirotsu, Camila, additional, Appleton, Sarah, additional, Younes, Magdy, additional, Adams, Robert J, additional, Vakulin, Andrew, additional, Hansen, Kristy, additional, Zajamsek, Branko, additional, Wittert, Gary, additional, Catcheside, Peter, additional, Heinzer, Raphael, additional, and Eckert, Danny J, additional

Published
2022
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37. The effect of wind turbine noise on polysomnographically measured and self-reported sleep latency in wind turbine noise naïve participants

Author

Liebich, Tessa, primary, Lack, Leon, additional, Micic, Gorica, additional, Hansen, Kristy, additional, Zajamšek, Branko, additional, Dunbar, Claire, additional, Lechat, Bastien, additional, Scott, Hannah, additional, Lovato, Nicole, additional, Decup, Felix, additional, Nguyen, Duc Phuc, additional, and Catcheside, Peter, additional

Published
2021
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46. EEG power spectral responses to wind farm compared with road traffic noise during sleep: A laboratory study.

Author

Dunbar, Claire, Catcheside, Peter, Lechat, Bastien, Hansen, Kristy, Zajamsek, Branko, Liebich, Tessa, Nguyen, Duc Phuc, Scott, Hannah, Lack, Leon, Decup, Felix, Vakulin, Andrew, and Micic, Gorica

Subjects
TRAFFIC noise, SPECTRAL sensitivity, WIND power plants, SOUND pressure, SLEEP quality
Abstract

Summary: Wind turbine noise is dominated by low frequencies for which effects on sleep relative to more common environmental noise sources such as road traffic noise remain unknown. This study examined the effect of wind turbine noise compared with road traffic noise on sleep using quantitative electroencephalogram power spectral analysis. Twenty‐three participants were exposed to 3‐min samples of wind turbine noise and road traffic noise at three sound pressure levels (33, 38 and 43 dBA) in randomised order during established sleep. Acute (0–30 s) and more sustained (30–180 s) effects of noise presentations during N2 and N3 sleep were examined using spectral analysis of changes in electroencephalogram power frequency ranges across time in 5‐s intervals. Both noise types produced time‐ and sound pressure level‐dependent increases in electroencephalogram power, but with significant noise type by sound pressure level interactions in beta, alpha, theta and delta frequency bands (all p < 0.05). Wind turbine noise showed significantly lower delta, theta and beta activity immediately following noise onset compared with road traffic noise (all p < 0.05). However, alpha activity was higher for wind turbine noise played at lower sound pressure levels (33 dBA [p = 0.001] and 38 dBA [p = 0.003]) compared with traffic noise during N2 sleep. These findings support that spectral analyses show subtle effects of noise on sleep and that electroencephalogram changes following wind turbine noise and road traffic noise onset differ depending on sound pressure levels; however, these effects were mostly transient and had little impact on conventionally scored sleep. Further studies are needed to establish if electroencephalogram changes associated with modest environmental noise exposures have significant impacts on sleep quality and next‐day functioning. [ABSTRACT FROM AUTHOR]

Published
2022
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