Using continuous sampling to examine the distribution of traffic related air pollution in proximity to a major road

McAdam, Kim; Steer, Peter; Perrotta, Kim

doi:10.1016/j.atmosenv.2011.01.050

Cited by 35 publications

(19 citation statements)

References 34 publications

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“…In summary, the joint effect of spatial location, meteorological factors, local traffic variables, and other uncertain sources plays a crucial role in street-scale variations of PM 2.5 and CO concentrations, which is in accordance with previous studies on roadside air pollutants (McAdam et al, 2011;Jian et al, 2012). Moreover, different variables are found having different effects on both PM 2.5 and CO concentrations, and the impact of the same variable varies dramatically among time periods.…”

Section: Resultssupporting

confidence: 80%

“…Beckerman et al (2008) depicted a varying decay degree of PM 2.5 (20%-60%) at 500 m from two expressways. McAdam et al (2011) found that hourly PM 2.5 was 39% higher at 10 m from curb side than that of 30 m from curb side, but there was no significant difference in CO levels with increasing distance from the road. Our research is generally consistent with near-road studies that PM 2.5 levels in neighborhoods are lower than at the roadside.…”

Section: Resultsmentioning

confidence: 67%

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Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection

Wang

et al. 2017

Front. Earth Sci.

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The minute-scale variations of fine particulate matter (PM 2.5 ) and carbon monoxide (CO) concentrations near a road intersection in Shanghai, China were investigated to identify the influencing factors at three traffic periods. Measurement results demonstrate a synchronous variation of pollutant concentrations at the roadside and setbacks, and the average concentration of PM 2.5 at the roadside is 7% (44% for CO) higher than that of setbacks within 500 m of the intersection. The pollution level at traffic peak periods is found to be higher than that of off-peak periods, and the morning peak period is found to be the most polluted due to a large amount of diesel vehicles and unfavorable dispersion conditions. Partial least square regressions were constructed for influencing factors and setback pollutant concentrations, and results indicate that meteorological factors are the most significant, followed by setback distance from the intersection and traffic factors. CO is found to be sensitive to distance from the traffic source and vehicle type, and highly dependent on local traffic conditions, whereas PM 2.5 originates more from other sources and background levels. These findings demonstrate the importance of localized factors in understanding spatiotemporal patterns of air pollution at intersections, and support decision makers in roadside pollution management and control.

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Section: Resultssupporting

confidence: 80%

Section: Resultsmentioning

confidence: 67%

Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection

Wang

et al. 2017

Front. Earth Sci.

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“…Heavy-duty vehicles are known to produce significantly higher nitrogen dioxide and particulate matters than carbon monoxide and contribute one-third of nitrogen oxides on highways [42]. The increased number of diesel vehicles over the last decades and use of oxidizing catalytic converters in diesel vehicles has also been identified to result in an increased ratio of NO 2 /NO x from road traffic emissions [19] [43]. Cheng et al [5] also reported similar trends, where high level of pollutant NO 2 was observed on urban roads where high density of heavy-duty vehicles passes through.…”

Section: T Ekeu-wei Et Almentioning

confidence: 99%

“…Meteorological factors such as wind, precipitation, humidity and temperature, influence the dispersion, deposition, transportation and transformation of nitrogen dioxide. Wind direction defines the direction of pollutant spatial distribution, while wind speed dictates the dispersion and deposition rate [19] [20]. High wind speed tends to reduce NO 2 concentration by aiding pollutant transportation and dispersion and vice versa in the direction of up-wind [21] [22].…”

Section: Factors That Influence No2 Concentrationmentioning

confidence: 99%

Passive Sampling of Ambient Nitrogen Dioxide at Toll Plazas in Malaysia

Ekeu-wei¹,

Azuma²,

Ogunmuyiwa³

2018

OJAP

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With the increasing trend of development and industrialization in Malaysia, air pollution has become an inevitable part of the process, resulting from increased vehicular activities and industrial processes. Toll operators are potentially exposed to high levels of air pollutants from working in proximity to traffic pollution sources, thereby increasing their risk of health defects associated with air pollution exposure. This study assessed the levels of Nitrogen dioxide (NO 2 ) toll operators are exposed to, considering the influences traffic density and meteorological factors. This is intended to serve as an indicator of the cumulative pollution emanating from the combustion process of vehicles at toll plazas. Using Passive diffusion samplers saturated with Triethanolamine (TEA), the weekly indoor and outdoor NO 2 concentrations at tollbooth were measured at Sungai Besi (SB), Kajang (KJ) and Putra-Makhota (PM) toll Plazas, to capture the varying traffic densities of 138,000, 65,000 and 24,100 vehicles/day respectively. The results showed that NO 2 concentrations increase with traffic densities, and indoor NO 2 concentrations correlated highly with outdoor NO 2 concentrations (R 2 : SB = 0.767, KJ = 0.689 and PM = 0.877). The indoor/outdoor NO 2 ratio varied from 0.7 to 1.2 for all toll booths, suggesting pollution control in-efficiency, caused by technical and behavioural factors. Also, meteorological factors had no significant effect on nitrogen dioxide concentrations, contrary to previous studies, which is likely due to the far distance between tool plazas and meteorological stations. Furthermore, the NO 2 concentrations reported in this study were higher in comparison to weekly standards adopted in Germany (0.032 ppm) and previous literature. Therefore, toll operators are potentially exposed to high levels of pollution, and we advise that toll operators to wear pollution protection gears to reduce the risk of exposure, and the ventilation systems and mitigation measure (air curtain) reviewed to assess its efficiency.

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“…3,[17][18][19][20] Many personal exposure studies, however, have been limited to a single microenvironment, due to limitations in monitoring technology. 21 Single-microenvironment studies have evaluated air pollutant concentrations at home, [22][23][24] at office buildings, 25,26 near roadways, 27,28 or in transit. [29][30][31] Recent technological advances have enabled a more holistic view of individual exposures as they occur across microenvironments.…”

mentioning

confidence: 99%

The Fort Collins commuter study: Variability in personal exposure to air pollutants by microenvironment

et al. 2019

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This study investigated the role of microenvironment on personal exposures to black carbon (BC), fine particulate mass (PM2.5), carbon monoxide (CO), and particle number concentration (PNC) among adult residents of Fort Collins, Colorado, USA. Forty‐four participants carried a backpack containing personal monitoring instruments for eight nonconsecutive 24‐hour periods. Exposures were apportioned into five microenvironments: Home, Work, Transit, Eateries, and Other. Personal exposures exhibited wide heterogeneity that was dominated by within‐person variability (both day‐to‐day and between microenvironment variability). Linear mixed‐effects models were used to compare mean personal exposures in each microenvironment, while accounting for possible within‐person correlation. Mean personal exposures during Transit and at Eateries tended to be higher than exposures at Home, where participants spent the majority of their time. Compared to Home, mean exposures to BC in Transit were, on average, 129% [95% confidence interval: 101% 162%] higher and exposures to PNC were 180% [101% 289%] higher in Eateries.

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Using continuous sampling to examine the distribution of traffic related air pollution in proximity to a major road

Cited by 35 publications

References 34 publications

Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection

Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection

Passive Sampling of Ambient Nitrogen Dioxide at Toll Plazas in Malaysia

The Fort Collins commuter study: Variability in personal exposure to air pollutants by microenvironment

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