scispace - formally typeset
Search or ask a question
Topic

Noise pollution

About: Noise pollution is a research topic. Over the lifetime, 4455 publications have been published within this topic receiving 67192 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: The use of both an energy and kurtosis metric can better predict the hazard of a high-level complex noise than the use of an energy metric alone (as is the current practice).
Abstract: Objective:To highlight a selection of data that illustrate the need for better descriptors of complex industrial noise environments for use in the protection of hearing.Design:The data were derived using a chinchilla model. All noise exposures had the same total energy and the same spectrum; that is

32 citations

Journal ArticleDOI
TL;DR: Noise is a major stressor that can influence health through the endocrine, immune, and cardiovascular systems, says Deepak Prasher, a professor of audiology at University College in London, and the new figures indicate that noise pollution is causing more deaths from heart disease than was previously thought.
Abstract: More than 15 million Americans currently have some form of coronary heart disease (CHD), which involves a narrowing of the small blood vessels that supply blood and oxygen to the heart. Risk factors for CHD include diabetes, high blood pressure, altered blood lipids, obesity, smoking, menopause, and inactivity. To this list we can now add noise, thanks to a recent study and assessment of the evidence by the WHO Noise Environmental Burden on Disease working group. The findings, first presented at the Internoise 2007 conference in August 2007, will be published in December. “The new data indicate that noise pollution is causing more deaths from heart disease than was previously thought,” says working group member Deepak Prasher, a professor of audiology at University College in London—perhaps hundreds of thousands around the world. “Until now, the burden of disease related to the general population’s exposure to environmental noise has rarely been estimated in nonoccupational settings at the international level.” The separate noise-related working group first convened in 2003 and began sifting through data from studies in European countries to derive preliminary estimates of the impact of noise on the entire population of Europe. They then sought to separate the noise-related health effects from those of traffic-related air pollution and other confounding factors such as physical inactivity and smoking. In 2007, the group published Quantifying Burden of Disease from Environmental Noise, their preliminary findings on the health-related effects of noise for Europeans. Their conclusion: about 2% of Europeans suffer severely disturbed sleep, and 15% suffer severe annoyance due to environmental noise, defined as community noise emitted from sources such as road traffic, trains, and aircraft. According to the new figures, long-term exposure to traffic noise may account for approximately 3% of CHD deaths (or about 210,000 deaths) in Europe each year. To obtain the new estimates, the working group compared households with abnormally high noise exposure with those with quieter homes. They also reviewed epidemiologic data on heart disease and hypertension, and then integrated these data into maps showing European cities with different levels of environmental noise. The noise threshold for cardiovascular problems was determined to be a chronic nighttime exposure of at least 50 A-weighted decibels, the noise level of light traffic. Daytime noise exposures also correlated with health problems, but the risk tended to increase during the nighttime hours. “Many people become habituated to noise over time,” says Prasher. “The biological effects are imperceptible, so that even as you become accustomed to the noise, adverse physiological changes are nevertheless taking place, with potentially serious consequences to human health.” To further assess the noise-related disease burden, the working group estimated disability-adjusted life years (DALYs) due to noise-related CHD. DALYs reflect how much the expectancy of healthy life is reduced by premature death or by disability caused by disease. This measure lets policy makers compare disease burdens associated with different environmental factors and forecast the likely impact of preventive policies. The working group estimated that in 2002 Europeans lost 880,000 DALYs to CHD related to road traffic noise. Chronic high levels of stress hormones such as cortisol, adrenaline, and noradrenaline can lead to hypertension, stroke, heart failure, and immune problems. According to a review of the research in the January–March 2004 issue of Noise and Health, arousal associated with nighttime noise exposure increased blood and saliva concentrations of these hormones even during sleep. “Taken together, recent epidemiologic data show us that noise is a major stressor that can influence health through the endocrine, immune, and cardiovascular systems,” says Prasher. Other recent support for an association of cardiovascular mortality with noise comes from a study published in the 1 January 2007 issue of Science of the Total Environment. The results showed an 80% increased risk of cardiovascular mortality for women who judged themselves to be sensitive to noise. “Given these findings, noise sensitivity is a serious candidate to be a novel risk factor for cardiovascular mortality in women,” says Marja Heinonen-Guzejev, a research scientist at the University of Helsinki and lead author of the paper. There is also a potential interaction between noise and air pollution, given that individuals exposed to traffic noise, for example, are often simultaneously exposed to air pollution. Prasher is currently investigating the effects of noise alone and in combination with chemical pollution. The broader implications of chronic noise exposure also need to be considered. “Noise pollution contributes not only to cardiovascular disease, but also to hearing loss, sleep disruption, social handicaps, diminished productivity, impaired teaching and learning, absenteeism, increased drug use, and accidents,” says physician Louis Hagler, who coauthored a review on noise pollution in the March 2007 Southern Medical Journal. “The public health repercussions of increasing noise pollution for future generations could be immense.”

32 citations

Journal ArticleDOI
TL;DR: New probabilistic RSS models that account for background noise in both types of RSS measurements are proposed, and maximum likelihood estimators (MLEs) are derived for these new models, as well as for differential RSS, which has hitherto not been rigorously analyzed in the literature.
Abstract: Localization via received signal strength (RSS) is often employed in cases where the received signal is fairly weak, either due to distance or due to deliberate covert operation or interference avoidance. However, most research on source localization via RSS implicitly assumes that the background noise is negligible, and that parameters of the transmitter and environment are known. Many commercial chipsets provide per-frame RSS measurements obtained when demodulating the signal, which do not include background noise; however, noise can still cause signal outages. In law enforcement, surveillance, and emergency situations, RSS may be obtained more crudely, such as by energy detection, in which case the RSS will include contributions from the background noise as well. This paper proposes new probabilistic RSS models that account for background noise in both types of RSS measurements. We also derive and evaluate maximum likelihood estimators (MLEs) for these new models, as well as for differential RSS, which has hitherto not been rigorously analyzed in the literature. Several of these MLEs are extended to estimate the transmit power and/or path loss if they are unknown. The new models are justified by extensive measured data.

32 citations

Journal ArticleDOI
TL;DR: 15 models are compared, using different grid sizes, to assess the accuracy of the noise mapping of the road traffic noise at a landscape scale, with respect to noise and landscape indicators in a Manzanares High River Basin Regional Park in Spain.

32 citations

Journal ArticleDOI
TL;DR: It is suggested that glucocorticoids are a mechanism by which anthropogenic sound causes phenotypic differences between urban and rural animals.
Abstract: A major challenge in urban ecology is to identify the environmental factors responsible for phenotypic differences between urban and rural individuals. However, the intercorrelation between the factors that characterize urban environments, combined with a lack of experimental manipulations of these factors in both urban and rural areas, hinder efforts to identify which aspects of urban environments are responsible for phenotypic differences. Among the factors modified by urbanization, anthropogenic sound, particularly traffic noise, is especially detrimental to animals. The mechanisms by which anthropogenic sound affects animals are unclear, but one potential mechanism is through changes in glucocorticoid hormone levels. We exposed adult house wrens, Troglodytes aedon, to either traffic noise or pink noise (a non-traffic noise control). We found that urban wrens had higher initial (pre-restraint) corticosterone than rural wrens before treatment, and that traffic noise elevated initial corticosterone of rural, but not urban, wrens. By contrast, restraint stress-induced corticosterone was not affected by noise treatment. Our results indicate that traffic noise specifically contributes to determining the glucocorticoid phenotype, and suggest that glucocorticoids are a mechanism by which anthropogenic sound causes phenotypic differences between urban and rural animals.

32 citations


Network Information
Related Topics (5)
Sustainable development
101.4K papers, 1.5M citations
70% related
Noise
110.4K papers, 1.3M citations
69% related
Sampling (statistics)
65.3K papers, 1.2M citations
68% related
Regression analysis
31K papers, 1.7M citations
68% related
Sustainability
129.3K papers, 2.5M citations
67% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023195
2022391
2021227
2020216
2019231
2018235