Literature DB >> 29727821

Errors associated with the use of roadside monitoring in the estimation of acute traffic pollutant-related health effects.

Donghai Liang1, Rachel Golan2, Jennifer L Moutinho3, Howard H Chang4, Roby Greenwald5, Stefanie E Sarnat6, Armistead G Russell3, Jeremy A Sarnat6.   

Abstract

Near-road monitoring creates opportunities to provide direct measurement on traffic-related air pollutants and to better understand the changing near-road environment. However, how such observations represent traffic-related air pollution exposures for estimating adverse health effect in epidemiologic studies remains unknown. A better understanding of potential exposure measurement error when utilizing near-road measurement is needed for the design and interpretation of the many observational studies linking traffic pollution and adverse health. The Dorm Room Inhalation to Vehicle Emission (DRIVE) study conducted near-road measurements of several single traffic indicators at six indoor and outdoor sites ranging from 0.01 to 2.3 km away from a heavily-trafficked (average annual daily traffic over 350,000) highway artery between September 2014 to January 2015. We examined spatiotemporal variability trends and assessed the potential for bias and errors when using a roadside monitor as a primary traffic pollution exposure surrogate, in lieu of more spatially-refined, proximal exposure indicators. Pollutant levels measured during DRIVE showed a low impact of this highway hotspot source. Primary pollutant species, including NO, CO, and BC declined to near background levels by 20-30 m from the highway source. Patterns of correlation among the sites also varied by pollutant and time of day. NO2, specifically, exhibited spatial trends that differed from other single-pollutant primary traffic indicators. This finding provides some indication of limitations in the use of NO2 as a primary traffic exposure indicator in panel-based health effect studies. Interestingly, roadside monitoring of NO, CO, and BC tended to be more strongly correlated with sites, both near and far from the road, during morning rush hour periods, and more weakly correlated during other periods of the day. We found pronounced attenuation of observed changes in health effects when using measured pollutant from the near-road monitor as a surrogate for true exposure, and the magnitude varied substantially over the course of the day. Caution should be taken when using near-road monitoring network observations, alone, to investigate health effects of traffic pollutants.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute health effects; Air pollution epidemiology; Measurement error; Pollutant spatial gradients; Traffic-related air pollution

Mesh:

Substances:

Year:  2018        PMID: 29727821     DOI: 10.1016/j.envres.2018.04.013

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


  8 in total

1.  Use of high-resolution metabolomics for the identification of metabolic signals associated with traffic-related air pollution.

Authors:  Donghai Liang; Jennifer L Moutinho; Rachel Golan; Tianwei Yu; Chandresh N Ladva; Megan Niedzwiecki; Douglas I Walker; Stefanie Ebelt Sarnat; Howard H Chang; Roby Greenwald; Dean P Jones; Armistead G Russell; Jeremy A Sarnat
Journal:  Environ Int       Date:  2018-08-07       Impact factor: 9.621

2.  Perturbations of the arginine metabolome following exposures to traffic-related air pollution in a panel of commuters with and without asthma.

Authors:  Donghai Liang; Chandresh N Ladva; Rachel Golan; Tianwei Yu; Douglas I Walker; Stefanie E Sarnat; Roby Greenwald; Karan Uppal; ViLinh Tran; Dean P Jones; Armistead G Russell; Jeremy A Sarnat
Journal:  Environ Int       Date:  2019-04-10       Impact factor: 9.621

3.  Evaluation of the Use of Saliva Metabolome as a Surrogate of Blood Metabolome in Assessing Internal Exposures to Traffic-Related Air Pollution.

Authors:  Zhenjiang Li; Jeremy A Sarnat; Ken H Liu; Robert B Hood; Che-Jung Chang; Xin Hu; ViLinh Tran; Roby Greenwald; Howard H Chang; Armistead Russell; Tianwei Yu; Dean P Jones; Donghai Liang
Journal:  Environ Sci Technol       Date:  2022-04-27       Impact factor: 11.357

4.  The Oxidative Potential of Fine Particulate Matter and Biological Perturbations in Human Plasma and Saliva Metabolome.

Authors:  Ziyin Tang; Jeremy A Sarnat; Rodney J Weber; Armistead G Russell; Xiaoyue Zhang; Zhenjiang Li; Tianwei Yu; Dean P Jones; Donghai Liang
Journal:  Environ Sci Technol       Date:  2022-01-25       Impact factor: 11.357

5.  Near-road Vehicle Emissions Air Quality Monitoring for Exposure Modeling.

Authors:  Jennifer L Moutinho; Donghai Liang; Rachel Golan; Stefanie E Sarnat; Rodney Weber; Jeremy A Sarnat; Armistead G Russell
Journal:  Atmos Environ (1994)       Date:  2020-01-31       Impact factor: 4.798

6.  Evaluating a multipollutant metric for use in characterizing traffic-related air pollution exposures within near-road environments.

Authors:  Jennifer L Moutinho; Donghai Liang; Rachel Golan; Stefanie T Ebelt; Rodney Weber; Jeremy A Sarnat; Armistead G Russell
Journal:  Environ Res       Date:  2020-03-13       Impact factor: 6.498

7.  Estimating climate change-related impacts on outdoor air pollution infiltration.

Authors:  Donghai Liang; Wan-Chen Lee; Jiawen Liao; Joy Lawrence; Jack M Wolfson; Stefanie T Ebelt; Choong-Min Kang; Petros Koutrakis; Jeremy A Sarnat
Journal:  Environ Res       Date:  2021-03-08       Impact factor: 6.498

8.  Application of high-resolution metabolomics to identify biological pathways perturbed by traffic-related air pollution.

Authors:  Zhenjiang Li; Donghai Liang; Dongni Ye; Howard H Chang; Thomas R Ziegler; Dean P Jones; Stefanie T Ebelt
Journal:  Environ Res       Date:  2020-11-24       Impact factor: 6.498

  8 in total

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