globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2017.08.015
Scopus记录号: 2-s2.0-85028350198
论文题名:
Indicators of residential traffic exposure: Modelled NOX, traffic proximity, and self-reported exposure in RHINE III
作者: Carlsen H; K; , Bäck E; , Eneroth K; , Gislason T; , Holm M; , Janson C; , Jensen S; S; , Johannessen A; , Kaasik M; , Modig L; , Segersson D; , Sigsgaard T; , Forsberg B; , Olsson D; , Orru H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 167
起始页码: 416
结束页码: 425
语种: 英语
英文关键词: Cohort study ; Dispersion models ; Land-use regression models ; NOX ; Noise exposure ; Traffic exposure
Scopus关键词: Acoustic noise ; Dispersions ; Housing ; Land use ; Noise pollution ; Pollution ; Regression analysis ; Vehicles ; Cohort studies ; Dispersion models ; Inter-rater agreements ; Land use regression ; Land-use regression models ; Noise exposure ; Traffic intensity ; Traffic pollution ; Proximity indicators ; Prunus mume
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Few studies have investigated associations between self-reported and modelled exposure to traffic pollution. The objective of this study was to examine correlations between self-reported traffic exposure and modelled (a) NOX and (b) traffic proximity in seven different northern European cities; Aarhus (Denmark), Bergen (Norway), Gothenburg, Umeå, and Uppsala (Sweden), Reykjavik (Iceland), and Tartu (Estonia). We analysed data from the RHINE III (Respiratory Health in Northern Europe, www.rhine.nu) cohorts of the seven study cities. Traffic proximity (distance to the nearest road with >10,000 vehicles per day) was calculated and vehicle exhaust (NOX) was modelled using dispersion models and land-use regression (LUR) data from 2011. Participants were asked a question about self-reported traffic intensity near bedroom window and another about traffic noise exposure at the residence. The data were analysed using rank correlation (Kendall's tau) and inter-rater agreement (Cohen's Kappa) between tertiles of modelled NOX and traffic proximity tertile and traffic proximity categories (0–150 metres (m), 150–200 m, >300 m) in each centre. Data on variables of interest were available for 50–99% of study participants per each cohort. Mean modelled NOX levels were between 6.5 and 16.0 μg/m3; median traffic intensity was between 303 and 10,750 m in each centre. In each centre, 7.7–18.7% of respondents reported exposure to high traffic intensity and 3.6–16.3% of respondents reported high exposure to traffic noise. Self-reported residential traffic exposure had low or no correlation with modelled exposure and traffic proximity in all centres, although results were statistically significant (tau = 0.057–0.305). Self-reported residential traffic noise correlated weakly (tau = 0.090–0.255), with modelled exposure in all centres except Reykjavik. Modelled NOX had the highest correlations between self-reported and modelled traffic exposure in five of seven centres, traffic noise exposure had the highest correlation with traffic proximity in tertiles in three centres. Self-reported exposure to high traffic intensity and traffic noise at each participant's residence had low or weak although statistically significant correlations with modelled vehicle exhaust pollution levels and traffic proximity. © 2017
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82629
Appears in Collections:气候变化事实与影响

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作者单位: Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Umeå, Sweden; Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland; Section of Occupational and Environmental Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden; Environment Administration, City of Gothenburg, Sweden; Environment and Health Administration, City of Stockholm, Sweden; Faculty of Medicine, University of Iceland, Reykjavik, Iceland; Department of Respiratory Medicine and Sleep, Landspitali National University Hospital of Iceland, Reykjavik, Iceland; Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden; Department of Environmental Science, Aarhus University, Roskilde, Denmark; Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Institute of Physics, University of Tartu, Tartu, Estonia; Division of Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; Swedish Meteorological and Hydrological Institute, Norrköping, Sweden; Department of Public Health, Aarhus University, Aarhus, Denmark; Department of Family Medicine and Public Health, University of Tartu, Tartu, Estonia

Recommended Citation:
Carlsen H,K,, Bäck E,et al. Indicators of residential traffic exposure: Modelled NOX, traffic proximity, and self-reported exposure in RHINE III[J]. Atmospheric Environment,2017-01-01,167
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