Literature DB >> 21958559

Noise, air pollutants and traffic: continuous measurement and correlation at a high-traffic location in New York City.

Zev Ross1, Iyad Kheirbek, Jane E Clougherty, Kazuhiko Ito, Thomas Matte, Steven Markowitz, Holger Eisl.   

Abstract

BACKGROUND: Epidemiological studies have linked both noise and air pollution to common adverse health outcomes such as increased blood pressure and myocardial infarction. In urban settings, noise and air pollution share important sources, notably traffic, and several recent studies have shown spatial correlations between noise and air pollution. The temporal association between these exposures, however, has yet to be thoroughly investigated despite the importance of time series studies in air pollution epidemiology and the potential that correlations between these exposures could at least partly confound statistical associations identified in these studies.
METHODS: An aethelometer, for continuous elemental carbon measurement, was co-located with a continuous noise monitor near a major urban highway in New York City for six days in August 2009. Hourly elemental carbon measurements and hourly data on overall noise levels and low, medium and high frequency noise levels were collected. Hourly average concentrations of fine particles and nitrogen oxides, wind speed and direction and car, truck and bus traffic were obtained from nearby regulatory monitors. Overall temporal patterns, as well as day-night and weekday-weekend patterns, were characterized and compared for all variables.
RESULTS: Noise levels were correlated with car, truck, and bus traffic and with air pollutants. We observed strong day-night and weekday-weekend variation in noise and air pollutants and correlations between pollutants varied by noise frequency. Medium and high frequency noise were generally more strongly correlated with traffic and traffic-related pollutants than low frequency noise and the correlation with medium and high frequency noise was generally stronger at night. Correlations with nighttime high frequency noise were particularly high for car traffic (Spearman rho=0.84), nitric oxide (0.73) and nitrogen dioxide (0.83). Wind speed and direction mediated relationships between pollutants and noise.
CONCLUSIONS: Noise levels are temporally correlated with traffic and combustion pollutants and correlations are modified by the time of day, noise frequency and wind. Our results underscore the potential importance of assessing temporal variation in co-exposures to noise and air pollution in studies of the health effects of these urban pollutants.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21958559     DOI: 10.1016/j.envres.2011.09.004

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  16 in total

1.  Spatial variation in environmental noise and air pollution in New York City.

Authors:  Iyad Kheirbek; Kazuhiko Ito; Richard Neitzel; Jung Kim; Sarah Johnson; Zev Ross; Holger Eisl; Thomas Matte
Journal:  J Urban Health       Date:  2014-06       Impact factor: 3.671

2.  Spatial and temporal determinants of A-weighted and frequency specific sound levels-An elastic net approach.

Authors:  Erica D Walker; Jaime E Hart; Petros Koutrakis; Jennifer M Cavallari; Trang VoPham; Marcos Luna; Francine Laden
Journal:  Environ Res       Date:  2017-09-18       Impact factor: 6.498

3.  Childhood cancer and residential exposure to highways: a nationwide cohort study.

Authors:  Ben D Spycher; Martin Feller; Martin Röösli; Roland A Ammann; Manuel Diezi; Matthias Egger; Claudia E Kuehni
Journal:  Eur J Epidemiol       Date:  2015-11-02       Impact factor: 8.082

4.  Air-Pollution and Cardiometabolic Diseases (AIRCMD): a prospective study investigating the impact of air pollution exposure and propensity for type II diabetes.

Authors:  Zhichao Sun; Bhramar Mukherjee; Robert D Brook; Geoffrey A Gatts; Fumo Yang; Qinghua Sun; Jeffrey R Brook; Zhongjie Fan; Sanjay Rajagopalan
Journal:  Sci Total Environ       Date:  2012-11-23       Impact factor: 7.963

5.  Socioeconomic status and environmental noise exposure in Montreal, Canada.

Authors:  Laura M Dale; Sophie Goudreau; Stephane Perron; Martina S Ragettli; Marianne Hatzopoulou; Audrey Smargiassi
Journal:  BMC Public Health       Date:  2015-02-28       Impact factor: 3.295

6.  Street-level noise in an urban setting: assessment and contribution to personal exposure.

Authors:  Tara P McAlexander; Robyn R M Gershon; Richard L Neitzel
Journal:  Environ Health       Date:  2015-02-28       Impact factor: 5.984

Review 7.  Association between ambient air pollution and diabetes mellitus in Europe and North America: systematic review and meta-analysis.

Authors:  Ikenna C Eze; Lars G Hemkens; Heiner C Bucher; Barbara Hoffmann; Christian Schindler; Nino Künzli; Tamara Schikowski; Nicole M Probst-Hensch
Journal:  Environ Health Perspect       Date:  2015-01-27       Impact factor: 9.031

8.  Social stressors and air pollution across New York City communities: a spatial approach for assessing correlations among multiple exposures.

Authors:  Jessie L C Shmool; Laura D Kubzansky; Ogonnaya Dotson Newman; John Spengler; Peggy Shepard; Jane E Clougherty
Journal:  Environ Health       Date:  2014-11-06       Impact factor: 5.984

9.  Race/Ethnicity, Socioeconomic Status, Residential Segregation, and Spatial Variation in Noise Exposure in the Contiguous United States.

Authors:  Joan A Casey; Rachel Morello-Frosch; Daniel J Mennitt; Kurt Fristrup; Elizabeth L Ogburn; Peter James
Journal:  Environ Health Perspect       Date:  2017-07-25       Impact factor: 9.031

10.  The Covariance between Air Pollution Annoyance and Noise Annoyance, and Its Relationship with Health-Related Quality of Life.

Authors:  Daniel Shepherd; Kim Dirks; David Welch; David McBride; Jason Landon
Journal:  Int J Environ Res Public Health       Date:  2016-08-06       Impact factor: 3.390

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