Environmental noise – ‘Forgotten’ or ‘Ignored’ pollutant?

King, Eoin A.; Murphy, Enda

doi:10.1016/j.apacoust.2016.05.023

Cited by 42 publications

(23 citation statements)

References 5 publications

(11 reference statements)

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“…While the END mapping initiative has yielded certain real benefits, some doubt as to the accuracy of these maps and associated results remain [12]. As opposed to absolute accuracy in results, some argue that the real benefits of noise mapping are realised when viewed as a guidance tool for generating more effective noise policies, and not a prediction of total noise levels at every dwelling [13].…”

Section: Introductionmentioning

confidence: 99%

“…As opposed to absolute accuracy in results, some argue that the real benefits of noise mapping are realised when viewed as a guidance tool for generating more effective noise policies, and not a prediction of total noise levels at every dwelling [13]. Thus, noise maps should be used as a strategic tool to control and manage environmental noise, coupled with robust recommendations for action [12].…”

Section: Introductionmentioning

confidence: 99%

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Modelling of intra-urban variability of prevailing ambient noise at different temporal resolution

et al. 2017

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Abstract:The impact of temporal aspects of noise data on model development and intra-urban variability on environmental noise levels are often ignored in the development of models used to predict its spatiotemporal variation within a city. Using a Land Use Regression approach, this study develops a framework which uses routine noise monitors to model the prevailing ambient noise, and to develop a noise variability map showing the variation within a city caused by land-use setting. The impact of data resolution on model development and the impact of meteorological variables on the noise level which are often ignored were also assessed. Six models were developed based on monthly, daily and hourly resolutions of both the noise and predictor data. Cross validation highlighted that only the hourly resolution model having 59% explanatory power of the observed data (adjusted R 2 ) and a potential of explaining at least 0.47% variation of any independent dataset (cross validation R 2 ), was a suitable candidate among all the developed models for explaining intraurban variability of noise. In the hourly model, regions with roads of high traffic volumes, with higher concentrations of heavy goods vehicles, and being close to activity centres were found to have more impact on the prevailing ambient noise. Road lengths were found to be the most influential predictors and identified as having an impact on the ambient noise monitors.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling of intra-urban variability of prevailing ambient noise at different temporal resolution

et al. 2017

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“…Noise is a biological stressor known to cause annoyance, sleep disturbance, cardiovascular health problems, 10 and is therefore of increasing regulatory concern in the EU. 36 Noise is generated from UNG activities, due to drilling and heavy equipment, and is not limited to well-pads. Populations some distance beyond the well-pad setback also tend to be affected (due to roadways, pipelines, and compressors).…”

Section: Context Dependent Evidence -Pennsylvania ≠ Polandmentioning

confidence: 99%

Assessing unconventional natural gas development: Understanding risks in the context of the EU

Prpich

Coulon

2018

Current Opinion in Environmental Science & Health

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Unconventional natural gas development (UNGD, e.g. shale gas) poses a threat to the environment and human health. While the Member States of the European Union (EU) decide whether to develop this resource, they require evidence to assess the associated risks. Much of the evidence regarding the risks (e.g. contamination, exposure, disturbance) comes from the US, and we argue this evidence cannot be used by the Member States to conduct risk assessments due to demographic differences, geological differences, and differences in regulation. The EU, as a whole, has recognized their need for evidence and has funded research partnerships to explore the environmental effects of UNGD. We argue that such research efforts need to be extended further in order to address the gaps in human health studies and to develop comprehensive environmental baseline studies.

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“…The World Health Organization (WHO) has recognized it as a harmful pollutant that has ill impacts on public health [1]. Taking environmental noise into account, the European Union (EU) has adopted the Environmental Noise Directive (END) that focuses on assessing population exposed to community noise, reducing harmful noise levels, and mitigating its burden of adverse public health [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

The Public Health Impact of Road-Traffic Noise in a Highly-Populated City, Republic of Korea: Annoyance and Sleep Disturbance

et al. 2018

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Sustainable transportation is an essential part of a sustainable city; however, modern transportation systems with internal-combustion engines emits unacceptably high level of air-pollutants and noise. It is recognized widely that road-traffic noise has negative health impacts (such as annoyance and sleep disturbance) on exposed population in highly-populated cities. These harmful effects should be removed or at least reduced to guarantee the sustainability of modern cities. The estimation of pollutant levels at a specific location and the extent of the damage is therefore important for policy makers. This study presents a procedure to determine the levels of road-traffic noise at both day and night, and an assessment of the adverse health effects across Gwangju Metropolitan City (GMC), Republic of Korea (ROK). Road-traffic noise maps in 2-D and 3-D were generated, in order to find spatial distribution of noise levels across the city and noise level at the façade of a building-floor, respectively. The adoption of existing assessment models for the highly-annoyed (%HA) and highly-sleep-disturbed (%HSD) leads to building-based estimation of the affected population and spatial distribution of the road networks of the city. Very high noise levels were found to exist along major roads in the day and at night, with little difference between them. As a result, approximately 10% and 5% of the total population (n = 1,471,944) were estimated to experience high-level annoyance and sleep disturbance, respectively.

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Environmental noise – ‘Forgotten’ or ‘Ignored’ pollutant?

Cited by 42 publications

References 5 publications

Modelling of intra-urban variability of prevailing ambient noise at different temporal resolution

Modelling of intra-urban variability of prevailing ambient noise at different temporal resolution

Assessing unconventional natural gas development: Understanding risks in the context of the EU

The Public Health Impact of Road-Traffic Noise in a Highly-Populated City, Republic of Korea: Annoyance and Sleep Disturbance

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