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Mobile Measurements of Black Carbon: Comparison of Normal Traffic with Reduced Traffic Conditions During COVID-19 Lock-down

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Date 2023 Jan 23
PMID 36686285
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Abstract

A mobile monitoring campaign was conducted (by bicycle) to assess the black carbon (BC) concentrations in Cluj-Napoca city, Romania, in 2020, before, during and after COVID-19 lock-down. Over the entire study period, the BC concentrations ranged between 1.0 and 25.9 μg/m³ (averaged per street section and period characterized by different traffic conditions). Marked spatial and temporal differences were observed. Observed differences in BC concentrations between locations are attributed to traffic intensities, with average BC concentrations, under normal circumstances, of 6.6-14.3 μg/m³ at roads with high to intense traffic, compared to 2.8-3.1 μg/m³ at areas with reduced traffic, such as residential areas, parks and pedestrian streets. The COVID-19 measures impacted traffic volumes, and hence average BC concentrations decreased from 5.9 μg/m³ to 3.0 μg/m³ during lock-down and in a lower extent to 3.4 μg/m³ and 4.4 μg/m³ in post-lockdown periods with reduced and more normalized traffic. Two approaches to account for variations in background concentrations when comparing different situations in time are assessed. Subtracting background concentrations that are measured at background sites along the monitoring route is an appropriate method to assess spatio-temporal differences in concentrations. A reduction of about 1-2 μg/m³ was observed for the streets with low to medium traffic, and up to 6 μg/m³ at high traffic locations under lockdown. The approach presented in this study, using mobile measurements, is useful to understand the personal exposure to BC along the roads in different seasons and the influence of traffic reduction on BC pollution during prolonged restrictions. All these will support policymakers to reduce pollution and achieve EU directives targets and WHO recommendations.

References
1.
Poppel M, Peters J, Bleux N . Methodology for setup and data processing of mobile air quality measurements to assess the spatial variability of concentrations in urban environments. Environ Pollut. 2013; 183:224-33. DOI: 10.1016/j.envpol.2013.02.020. View

2.
Keuken M, Jonkers S, Wilmink I, Wesseling J . Reduced NOx and PM10 emissions on urban motorways in The Netherlands by 80 km/h speed management. Sci Total Environ. 2010; 408(12):2517-26. DOI: 10.1016/j.scitotenv.2010.03.008. View

3.
Kelly F, Anderson H, Armstrong B, Atkinson R, Barratt B, Beevers S . The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements. Res Rep Health Eff Inst. 2011; (155):5-71. View

4.
Hankey S, Marshall J . Land Use Regression Models of On-Road Particulate Air Pollution (Particle Number, Black Carbon, PM2.5, Particle Size) Using Mobile Monitoring. Environ Sci Technol. 2015; 49(15):9194-202. DOI: 10.1021/acs.est.5b01209. View

5.
Okokon E, Yli-Tuomi T, Turunen A, Taimisto P, Pennanen A, Vouitsis I . Particulates and noise exposure during bicycle, bus and car commuting: A study in three European cities. Environ Res. 2017; 154:181-189. DOI: 10.1016/j.envres.2016.12.012. View