Local determinants of road traffic noise levels versus determinants of air pollution levels in a Mediterranean city

Foraster, María; Deltell, Alexandre; Basagaña, Xavier; Medina-Ramón, Mercedes; Aguilera, Inmaculada; Bouso, Laura; Grau, María; Phuleria, Harish C.; Rivera, Marcela; Slama, Rémy; Sunyer, Jordi; Targa, Jaume; Künzli, Nino

doi:10.1016/j.envres.2010.10.013

Cited by 90 publications

(52 citation statements)

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“…16 Similarly, correlations between 5-min L eq and 2-week average NO 2 were reported at 0.53 in Vancouver, BC while reported correlations between average 24-h noise and monthly NO 2 levels in Spain were 0.62. 18,19 In our study, we observed that noise NO/NO 2 correlations were more consistent with those found by Forester et al (2010), possibly due to the longer sampling time applied to characterize average noise levels.…”

Section: Spatial Variation In Environmental Noise and Air Pollutionsupporting

confidence: 92%

“…Total kernel-weighted traffic density was the best predictor of average noise levels, followed by road density, truck traffic, and bus traffic. While prior studies have examined relationships of noise and traffic density using metrics such as inverse distance to roadways, 16 traffic density at the monitoring site, 19 or through land-use regression modeling of roadway lengths in buffers, 43 we evaluated associations with traffic intensity in varying buffer sizes to demonstrate the spatial scale of impacts, showing decreasing correlations with larger buffer sizes. We found relatively lower correlations of average noise levels with built space density, although in future multivariate models, this indicator may be useful in capturing spatial variation due to non-traffic-related noise.…”

Section: Spatial Variation In Environmental Noise and Air Pollutionmentioning

confidence: 99%

“…15 Road traffic is a source of noise and air pollution, raising the possibility that associations between traffic exposures and cardiovascular endpoints involve possible confounding and/or synergism between noise and air pollution and their effects on health. [16][17][18][19][20] Despite the recognized need to consider noise and stress as potential confounders of air pollution effects, 15 relatively few studies of traffic impacts on health have considered noise in risk models. 17,21 Urban air pollution monitoring studies in New York City (NYC) have indicated significant spatial variation in traffic-related air pollutants, 22,23 but less data is available to characterize intraurban spatial variation in noise.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Variation in Environmental Noise and Air Pollution in New York City

et al. 2014

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Exposure to environmental noise from traffic is common in urban areas and has been linked to increased risks of adverse health effects including cardiovascular disease. Because traffic sources also produce air pollutants that increase the risk of cardiovascular morbidity, associations between traffic exposures and health outcomes may involve confounding and/or synergisms between air pollution and noise. While prior studies have characterized intraurban spatial variation in air pollution in New York City (NYC), limited data exists on the levels and spatial variation in noise levels. We measured 1-week equivalent continuous sound pressure levels (L eq ) at 56 sites during the fall of 2012 across NYC locations with varying traffic intensity and building density that are routinely monitored for combustion-related air pollutants. We evaluated correlations among several noise metrics used to characterize noise exposures, including L eq during different time periods (night, day, weekday, weekend), L dn (day-night noise), and measures of intermittent noise defined as the ratio of peak levels to median and background levels. We also examined correlations between sound pressure levels and co-located simultaneous measures of nitric oxide (NO), nitrogen dioxide (NO 2 ), fine particulate matter (PM 2.5 ), and black carbon (BC) as well as estimates of traffic and building density around the monitoring sites. Noise levels varied widely across the 56 monitoring sites; 1-week L eq varied by 21.6 dBA (range 59.1-80.7 dBA) with the highest levels observed during the weekday, daytime hours. Indices of average noise were well correlated with each other (r9 0.83), while indices of intermittent noise were not well correlated with average noise levels (rG0.41). One-week L eq correlated well with NO, NO 2 , and EC levels (r=0.61 to 0.68) and less so with PM 2.5 levels (r=0.45). We observed associations between 1-week noise levels and traffic intensity within 100 m of the monitoring sites (r = 0.58). The high levels of noise observed in NYC often exceed recommended guidelines for outdoor and personal exposures, suggesting unhealthy levels in many locations. Associations between noise, traffic, and combustion air pollutants suggest the possibility for confounding and/or synergism in intraurban epidemiological studies of traffic-related health effects. The different spatial pattern of intermittent noise compared to average noise level may suggest different sources.Kheirbek, Ito, Kim, Johnson, and Matte are with the New York City

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Section: Spatial Variation In Environmental Noise and Air Pollutionsupporting

confidence: 92%

Section: Spatial Variation In Environmental Noise and Air Pollutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Variation in Environmental Noise and Air Pollution in New York City

et al. 2014

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“…Com relação à simulação computacional, o software CADNA-A demonstrou-se e icaz para avaliação do impacto sonoro, corroborando com outros trabalhos que também utilizaram essa mesma ferramenta computacional (PINTO, MARDONES, 2009;ARANA;SAN MARTIN, R.;SAN MARTIN, M.L., 2010;FORASTER et al, 2011).…”

Section: Resultsunclassified

Classes de quadras urbanas determinadas pelos níveis de ruídos

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et al. 2013

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ResumoO objetivo deste trabalho é atribuir classes de diferenciação dos níveis de pressão sonora encontrados em quadras urbanas pertencentes a uma mesma zona de ocupação. Descreve-se, assim, o estado atual do ruído e identi icam-se áreas com níveis sonoros acima dos permitidos pelas Normas Regulamentadoras. Para isso, o método utilizado compreende a delimitação de uma área de estudo pertencente a uma zona de ocupação induzida na cidade de São Carlos (SP). Nessa área são feitas coletas de dados de níveis de pressão sonora em horários de pico de luxo de veículos, os quais servem de dados de entrada em um modelo de previsão e mapeamento do ruído. Examina-se a adequação entre os níveis mapeados e as normas vigentes para o conforto acústico humano e propõem-se classes de ruídos por quadras urbanas. Os resultados permitem evidenciar as quadras para as quais ações de controle devem ser tomadas para a garantia da qualidade acústica do local. Palavras

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“…Several studies focused on air, water, health pollution generated by transportation (Foraster et al, 2011;Stroe et al, 2014;Ciudin et al, 2014b;Schiavon et al, 2014;Rada 2014). Nowadays, traffic related noise is the major source of environmental pollution in most European countries.…”

Section: Introductionmentioning

confidence: 99%