Can we use fixed ambient air monitors to estimate population long-term exposure to air pollutants? The case of spatial variability in the Genotox ER study

Nerrière, Eléna; Zmirou‐Navier, Denis; Blanchard, Olivier; Momas, Isabelle; Ladner, Joël; Moullec, Yvon Le; Personnaz, Marie-Blanche; Lameloise, Philippe; Delmas, Véronique; Target, Alain; Desqueyroux, Hélène

doi:10.1016/j.envres.2004.07.009

Cited by 86 publications

(45 citation statements)

References 35 publications

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“…Data were consistent with other recent human exposure studies in regard to the wide range in concentration and spatial variability observed in other personal and ambient-based settings in the United States and Europe for individuals not overly exposed to automotive emissions (Spengler et al, 1994;Alm et al, 1998;Harrison et al, 2002;Nerriere et al, 2005;Brown et al, 2009).…”

Section: Discussionsupporting

confidence: 91%

“…Homes with gas appliances have been linked to potentially higher personal exposures in the Boston area (Brown et al, 2009). Results from the large Genotox ER study reported that personal exposures were higher in individuals using a gas stove but that inclusion of this factor did not significantly improve the overall understanding of personal versus ambient relationship (Nerriere et al, 2005). Piechocki-Minguy et al, 2006 reported that a major component of personal NO 2 exposure variability could be explained using factors related to mobile emissions (transportation survey questions).…”

Section: Discussionmentioning

confidence: 99%

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The influence of human and environmental exposure factors on personal NO2 exposures

Williams

Jones

Croghan

et al. 2011

J Expo Sci Environ Epidemiol

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The US Environmental Protection Agency's (US EPA) Detroit Exposure and Aerosol Research Study (DEARS) deployed a total of over 2000 nitrogen dioxide, NO 2, passive monitors during 3 years of field data collections. These 24-h based personal, residential outdoor and community-based measurements allowed for the investigation of NO 2 spatial, temporal, human and environmental factors. The relationships between personal exposures to NO 2 and the factors that influence the relationship with community-based measurements were of interest. Survey data from 136 participants were integrated with exposure findings to allow for mixed model effect analyses. Ultimately, 50 individual factors were selected for examination. NO 2 analyses revealed that season, exposure to environmental tobacco smoke and residential gas appliances were strong influencing factors. Only modest associations between community-based measures of nitrogen dioxide and personal exposures impacted by various exposure factors for heating (r ¼ 0.44) or nonheating seasons (r ¼ 0.34) were observed, indicating that use of ambient-based monitoring as a surrogate of personal exposure might result in sizeable exposure misclassification.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

The influence of human and environmental exposure factors on personal NO2 exposures

Williams

Jones

Croghan

et al. 2011

J Expo Sci Environ Epidemiol

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“…27 • Multivariate regression analysis of home outdoor concentrations against categorized residential/ traffic features variables and fixed ambient measurements. 10,18 The variables used in this regression were: residence location (center/suburbs); distance from the fixed site (0 -5 km, 5-10 km, Ͼ10 km); residence age (before 1980, after 1980); residence type (attached-detached homes/apartments); sampling height (0 -3 m, 3-6 m, Ͼ6 m); building height (0 -9 m, Ͼ9 m); traffic-classified residence; proximity to nearest street (0 -5 m, 5-10 m, Ͼ10 m); proximity to nearest major street and traffic light (0 -100 m, 100 -500 m, Ͼ500 m); and canyon effect and other activities (yes/no). Residences located on streets having uninterrupted buildings on both sides of the street for at least 20 m and the ratio of the building height divided by 2 times the distance between street sides being higher than 1.5 were identified as canyon-type microenvironments.…”

Section: Discussionmentioning

confidence: 99%

Dependence of Home Outdoor Particulate Mass and Number Concentrations on Residential and Traffic Features in Urban Areas

Lianou

Chalbot

Kotronarou

et al. 2007

Journal of the Air & Waste Management Association

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The associations between residential outdoor and ambient particle mass, fine particle absorbance, particle number (PN) concentrations, and residential and traffic determinants were investigated in four European urban areas (Helsinki, Athens, Amsterdam, and Birmingham). A total of 152 nonsmoking participants with respiratory diseases, not exposed to occupational pollution, were included in the study, which comprised a 7-day intensive exposure monitoring period of both indoor and home outdoor particle mass and number concentrations. The same pollutants were also continuously measured at ambient fixed sites centrally located to the studied areas (fixed ambient sites). Relationships between concentrations measured directly outside the homes (residential outdoor) and at the IMPLICATIONS Uncertainties of health risk estimates associated with exposures to PM are mostly due to weak correlations between personal exposures and ambient concentrations, which vary for different fractions of PM. Among other factors, the variability of PM concentration within an urban area is accountable, especially for coarse and ultrafine particles. This study focused on the analysis of spatial variation of fine and coarse PM and ultrafine particles in urban areas. The outcomes of this investigation provide insights on the impact of sampling, home outdoor, and traffic characteristics on the variability of particle mass and number concentrations, which are also critical in developing policies to control atmospheric PM and its sources. fixed ambient sites were pollutant-specific, with substantial variations among the urban areas. Differences were more pronounced for coarse particles due to resuspension of road dust and PN, which is strongly related to traffic emissions. Less significant outdoor-to-fixed variation for particle mass was observed for Amsterdam and Birmingham, predominantly due to regional secondary aerosol. On the contrary, a strong spatial variation was observed for Athens and to a lesser extent for Helsinki. This was attributed to the overwhelming and time-varied inputs from traffic and other local sources. The location of the residence and traffic volume and distance to street and traffic light were important determinants of residential outdoor particle concentrations. On average, particle mass levels in suburban areas were less than 30% of those measured for residences located in the city center. Residences located less than 10 m from a street experienced 133% higher PN concentrations than residences located further away. Overall, the findings of this multi-city study, indicated that (1) spatial variation was larger for PN than for fine particulate matter (PM) mass and varied between the cities, (2) vehicular emissions in the residential street and location in the center of the city were significant predictors of spatial variation, and (3) the impact of traffic and location in the city was much larger for PN than for fine particle mass. TECHNICAL PAPER

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“…There will be important steps in order to solve the urban air pollution problem and to increase the quality of life for the citizens in urban regeneration areas, such as the dissemination of the usage of natural gas for domestic heating, the emission controls for the reduction of the level of air pollutants because of dense motor vehicle in traffic and monitoring of coal sales, more frequent controls for the measurements for air quality in terms of spatial and time tables, developing plan decisions in consideration of air corridors, the dissemination of open and green areas, encouragement of public transportation and railway transportation type by local governments and realizing studies to minimize carbon emissions and to improve the air quality (Nerriere et al, 2005, Deak et al, 2015, Grsic et al, 2014.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

An Assessment of the Relationship between Urban Air Quality and Environmental Urban Factors in Urban Regeneration Areas

Egercioğlu¹,

Özcan²

2016

E-BPJ

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Urban air pollution has been increasing due to ever increasing population, rapid urbanization, industrialization, energy usage, traffic density. The purpose of the study is to examine the relation between urban air quality and urban environmental factors in urban regeneration areas. Two common air polluters (SO2 and PM10) are considered in the study. The data are collected for Cigli district, including the level of air pollutants, the local natural gas service lines and planning decisions for the years between 2007 and 2011. According to the examinations, urban environmental factors and planning decisions affect the urban air quality in urban regeneration areas.

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Can we use fixed ambient air monitors to estimate population long-term exposure to air pollutants? The case of spatial variability in the Genotox ER study

Cited by 86 publications

References 35 publications

The influence of human and environmental exposure factors on personal NO2 exposures

The influence of human and environmental exposure factors on personal NO2 exposures

Dependence of Home Outdoor Particulate Mass and Number Concentrations on Residential and Traffic Features in Urban Areas

An Assessment of the Relationship between Urban Air Quality and Environmental Urban Factors in Urban Regeneration Areas

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