Evaluation of noise levels of two micro-wind turbines using a randomised experiment

2014 ◽  
Vol 25 (1) ◽  
pp. 19-25
Author(s):  
Chantelle May Clohessy ◽  
Warren Brettanny ◽  
Gary Sharp ◽  
Frederik Vorster
Keyword(s):  
Wind Turbines ◽  
General Linear Model ◽  
Time Of Day ◽  
Sound Level ◽  
Environmental Concerns ◽  
Noise Levels ◽  
Wind Turbine Noise ◽  
Level Data ◽  
The Relationship ◽  
Noise Impacts

One of the more contentious environmental concerns of wind turbines is the wind turbine noise. This study assesses the noise impacts of two micro-wind turbines on the environment by comparing the noise generated by these turbines to traditionally accepted surrounding sounds. The sound level data was collected using a randomised experiment and fitted using a general linear model (GLM). The GLM was used to determine the relationship between the sound level generated at a given site to the time of day, the wind speed, the wind direction and a fixed predetermined distance from the sound source.

scholarly journals Aircraft Noise and Land Use Zoning Compatibility around the Juan Santamaría Airport, Costa Rica

2020 ◽  
Vol 30 (2) ◽  
pp. 14-31
Author(s):  
José Miguel Rivera Acevedo ◽  
Jonathan Agüero Valverde
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Computational Models ◽  
Field Measurements ◽  
Sound Level ◽  
Aircraft Noise ◽  
Noise Levels ◽  
Level Data ◽  
Aircraft Type ◽  
Level Meter

The purpose of this study is to evaluate the noise generated by aeronautical operations around Juan Santamaría Airport and its compatibility with the land use and the proposed zoning around the airport. Aircraft noise can produce discomfort, interference with daily activities, and excessive vibrations; hence, land use planning around airports is of importance. Maps were prepared through computational models representing the noise levels generated by the operations of the airport. The operations were analyzed by aircraft type, schedules, and flight tracks, for 2013 and projections for: 2016, 2026, and 2036. Noise level data were collected with a sound level meter at 28 points surrounding the airport. Comparing the annual maps of 2013 and 2036 it was determined that 41,24 % of the analyzed area will present clearly perceivable increases (5 dB(A) to 10 dB(A)), and 1,36 % of the area will have double loudness increases (10 dB(A) to 14 dB(A)). The 2016 maps show locations where it is recommended to incorporate solutions in the construction regulation that reduce between 25 dB and 30 dB in the residential and scholar areas located within 65 dB(A) and 70 dB(A), such as Coco, Rincón Monge, Rincón Herrera, and Bajo Sorda. This finding is supported by field measurements. The proposed zoning was contrasted against the yearly day-night average sound level of 2036. The biggest issue of excessive aircraft noise is located near the west runway where a range above the 75 dB(A) is expected. Any edification of permanent residence must be banned in here.  

scholarly journals A comprehensive evaluation of the level of noise pollution in hospitals of Kermanshah University of Medical Sciences

2018 ◽  
Vol 20 (2) ◽  
pp. 363-367
Keyword(s):  
Noise Level ◽  
Comprehensive Evaluation ◽  
Noise Pollution ◽  
Hospital Staff ◽  
Time Of Day ◽  
Sound Level ◽  
International Standards ◽  
Noise Levels ◽  
Significant Difference ◽  
Average Noise Level

Noise pollution higher than the standard values intensifies the patients' disease and also has negative effects on hospital staff. This study aimed to determine the level of noise pollution in the Kermanshah hospitals and also to compare obtained data with national and international standards. Multifunctional sound level meter (Model CEL – 450), has been applied for determining the sound level in different parts of a hospital in 3 different time of day (morning, visiting hours (evening), and night) for working day and holiday. The highest level was on working days and it was 60.24±5.76 dB. The average noise level on holiday was 58.15±5.44 dB. Generally, the average noise level in all studied hospitals was higher than the standard levels. The results of the analyses showed that when the P=0.003, there’s a significant difference between the average noise levels on different days. According to the results of the studies, it is necessary to plan and take managerial and technical – engineering measures to reduce the noise levels to standard levels.

Effect of Wind Turbine Noise on Workers' Sleep Disorder: A Case Study of Manjil Wind Farm in Northern Iran

2015 ◽  
Vol 14 (02) ◽  
pp. 1550020 ◽  
Author(s):  
Milad Abbasi ◽  
Mohammad Reza Monnazzam ◽  
SayedAbbolfazl Zakerian ◽  
Arsalan Yousefzadeh
Keyword(s):  
Wind Turbine ◽  
Sleep Disorder ◽  
Wind Turbines ◽  
Daytime Sleepiness ◽  
Wind Farm ◽  
Wind Farms ◽  
Sound Level ◽  
Wind Turbine Noise ◽  
The Impact

Noise from wind turbines is one of the most important factors affecting the health, welfare, and human sleep. This research was carried out to study the effect of wind turbine noise on workers' sleep disorder. For this, Manjil Wind Farm, because of the greater number of staff and turbines than other wind farms in Iran, was chosen as case study. A total number of 53 participants took part in this survey. They were classified into three groups of mechanics, security, and official. In this study, daytime sleepiness data of workers were gathered using Epworth Sleepiness Scales (ESS) was used to determine the level of daytime sleepiness among the workers. The 8-h equivalent sound level (LAeq,8h) was measured to determine the individuals' exposure at each occupational group. Finally, the effect of sound, age, and workers' experience on individuals' sleep disorder was analyzed through multiple regression analysis in the R software. The results showed that there was a positive and significant relationship between age, workers' experience, equivalent sound level, and the level of sleep disorder. When age is constant, sleep disorder will increase by 26% as per each 1 dB increase in equivalent sound level. In situations where equivalent sound level is constant, an increase of 17% in sleep disorder is occurred as per each year of work experience. Because of the difference in sound exposure in different occupational groups. The effect of noise in repairing group was about 6.5 times of official group and also 3.4 times of the security group. Sleep disorder effect caused by wind turbine noise in the security group is almost two times more than the official group. Unlike most studies on wind turbine noise that address the sleep disorder among inhabitants nearby wind farms, this study, for the first time in the world, examines the impact of wind turbine noise on sleep disorder of workers who are more closer to wind turbines and exposed to higher levels of noise. So despite all the good benefits of wind turbines, it can be stated that this technology has health risks for all those exposed to its sound. However, further research is needed to confirm the results of this study.

scholarly journals Evaluation of Noise Environment and Noise Mapping with ArcGIS in Chittagong City, Bangladesh

2021 ◽  
Vol 43 (4) ◽  
pp. 230-240
Author(s):  
Md. Abdul Aziz ◽  
Ahasanul Karim ◽  
Md. Mehedi Hassan Masum ◽  
Kazi Kader Newaz
Keyword(s):  
Noise Pollution ◽  
Sound Level ◽  
Geographical Information ◽  
Noise Levels ◽  
Noise Mapping ◽  
High Noise ◽  
Noise Environment ◽  
Level Data ◽  
Level Meter ◽  
The City

Objectives : Noise pollution in Chittagong City of Bangladesh is a big concern because of huge population growth and urbanization. The objective of the study was to evaluate and mapping the noise levels in twelve locations of this city at different periods.Methods : Noise level data were collected at various locations by a precision grade sound level meter and the noise pollution parameters (Lmin, LAeq,2h and Lmax) were calculated. Furthermore, the noise pollution maps of Chittagong City were developed using geographical information system to address the locations which are prone to the environmental hazards.Results and discussion : The study revealed that the average noise levels were 64.6, 76.9, and 75.5 dB(A) for residential, commercial and silence zones, respectively. The interpolated noise maps showed that noise environment of this city was unsatisfactory, especially, in the areas of New Market, Nasirabad, and Bawa School & College were exposed to high noise pollutions. The afternoon and evening periods were experiencing higher noise pollution in the commercial and silence zones than the morning period of the day.Conclusions : The study suggests that the noise levels are above the acceptable limit and hence urgent measures should be taken into consideration to control the level of noise pollution in the city.

Determination of the Probability Distribution of the Mean Sound Level

2010 ◽  
Vol 35 (4) ◽  
pp. 543-550 ◽  
Author(s):  
Wojciech Batko ◽  
Bartosz Przysucha
Keyword(s):  
Probability Distribution ◽  
Probability Distribution Function ◽  
Mean Value ◽  
Sound Level ◽  
Function Form ◽  
Noise Levels ◽  
Logarithmic Mean ◽  
The Mean ◽  
Estimation Of Uncertainty

AbstractAssessment of several noise indicators are determined by the logarithmic mean <img src="/fulltext-image.asp?format=htmlnonpaginated&src=P42524002G141TV8_html\05_paper.gif" alt=""/>, from the sum of independent random resultsL1;L2; : : : ;Lnof the sound level, being under testing. The estimation of uncertainty of such averaging requires knowledge of probability distribution of the function form of their calculations. The developed solution, leading to the recurrent determination of the probability distribution function for the estimation of the mean value of noise levels and its variance, is shown in this paper.

Middle and Below Living Standards: What Can We Learn from Beyond Income Measures of Economic Well-being?

2018 ◽  
Author(s):  
Marii Paskov ◽  
Joan E. Madia ◽  
Tim Goedemé
Keyword(s):  
Well Being ◽  
Material Deprivation ◽  
Living Standards ◽  
Household Level ◽  
The Great Recession ◽  
Level Data ◽  
Working Age ◽  
Household Incomes ◽  
The Relationship ◽  
Economic Well Being

This chapter complements the income-based measures of living standards on which earlier chapters have focused by incorporating non-income dimensions of economic well-being into its analysis, including indicators of material deprivation, economic burdens, and financial stress. It analyses how working-age households around and below the middle of the income distribution fared in European countries in the years before, during, and after the Great Recession. Harmonized household-level data across the members of the EU are analysed to see whether the evolution of these various non-income measures present a similar or different picture to household incomes over time. To probe what lies behind the patterns this reveals, four quite different countries are then examined in greater depth. Finally, the chapter also explores the relationship between material deprivation for households around and below the middle and overall income inequality.

The Historiography of Environmental History

2018 ◽  
Author(s):  
J. R. McNeill
Keyword(s):  
Climate Change ◽  
Environmental History ◽  
Industrial Pollution ◽  
Full Scale ◽  
Environmental Concerns ◽  
The Us ◽  
The World ◽  
History Of ◽  
The 1960S ◽  
The Relationship

This chapter discusses the emergence of environmental history, which developed in the context of the environmental concerns that began in the 1960s with worries about local industrial pollution, but which has since evolved into a full-scale global crisis of climate change. Environmental history is ‘the history of the relationship between human societies and the rest of nature’. It includes three chief areas of inquiry: the study of material environmental history, political and policy-related environmental history, and a form of environmental history which concerns what humans have thought, believed, written, and more rarely, painted, sculpted, sung, or danced that deals with the relationship between society and nature. Since 1980, environmental history has come to flourish in many corners of the world, and scholars everywhere have found models, approaches, and perspectives rather different from those developed for the US context.

scholarly journals Case Study in a Working Environment Highlighting the Divergence between Sound Level and Workers’ Perception towards Noise

2020 ◽  
Vol 17 (17) ◽  
pp. 6122
Author(s):  
Chun-Yip Hon ◽  
Illia Tchernikov ◽  
Craig Fairclough ◽  
Alberto Behar
Keyword(s):  
Noise Exposure ◽  
Health And Safety ◽  
Sound Level ◽  
Working Environment ◽  
Noise Levels ◽  
Hearing Conservation ◽  
Attitudes And Perceptions ◽  
Noise Measurements ◽  
Survey Responses ◽  
Excessive Noise

Excessive noise levels are a prevalent issue in food processing operations and, although there have been numerous studies on occupational noise, no single study has used a concurrent mixed-methods approach. Employing this study design allows for an understanding of the level of convergence (similarity) between measured noise levels and workers’ attitudes and perceptions towards noise. This, in turn, allows for the identification of potential challenges with respect to the implementation of hearing conservation efforts. In this study, spot noise measurements were collected using a sound level meter. One-on-one interviews were conducted with workers to determine attitudes and perceptions towards noise in their workplaces. Subsequently, the results of the noise measurements (quantitative data) were integrated with the survey responses (qualitative data) to identify convergence. The majority of the noise measurements were found to exceed 85 dBA—the criterion mandated by the local occupational health and safety legislation. Although all study participants felt that it was noisy in the workplace, a large proportion of respondents indicated that the noise was not bothersome. With workers’ perception being contradictory to the measured noise levels, it is a challenge to implement hearing conservation measures unless changes are made to raise the awareness of the risks associated with excessive noise exposure.

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