Abstract

One year of radon, benzene and carbon monoxide (CO) concentrations were analysed to characterise the combined influences of variations in traffic density and meteorological conditions on urban air quality in Bern, Switzerland. A recently developed radon-based stability categorisation technique was adapted to account for seasonal changes in day length and reduction in the local radon flux due to snow/ice cover and high soil moisture. Diurnal pollutant cycles were shown to result from an interplay between variations in surface emissions (traffic density), the depth of the nocturnal atmospheric mixing layer (dilution) and local horizontal advection of cleaner air from outside the central urban/industrial area of this small compact inland city. Substantial seasonal differences in the timing and duration of peak pollutant concentrations in the diurnal cycle were attributable to changes in day length and the switching to/from daylight-savings time in relation to traffic patterns. In summer, average peak benzene concentrations (0.62 ppb) occurred in the morning and remained above 0.5 ppb for 2 hours, whereas in winter average peak concentrations (0.85 ppb) occurred in the evening and remained above 0.5 ppb for 9 hours. Under stable conditions in winter, average peak benzene concentrations (1.1 ppb) were 120% higher than for well-mixed conditions (0.5 ppb). By comparison, summertime peak benzene concentrations increased by 53% from well-mixed (0.45 ppb) to stable nocturnal conditions (0.7 ppb). An idealised box model incorporating a simple advection term was used to derive a nocturnal mixing length scale based on radon, and then inverted to simulate diurnal benzene and CO emission variations at the city centre. This method effectively removes the influences of local horizontal advection and stability-related vertical dilution from the emissions signal, enabling a direct comparison with hourly traffic density. With the advection term calibrated appropriately, excellent results were obtained, with high regression coefficients in spring and summer for both benzene (r2 ~0.90–0.96) and CO (r2 ~0.88–0.98) in the two highest stability categories. Weaker regressions in winter likely indicate additional contributions from combustion sources unrelated to vehicular emissions. Average vehicular emissions during daylight hours were estimated to be around 0.503 (542) kg km−2 h−1 for benzene (CO) in the Bern city centre.

Highlights

  • Traffic congestion, and associated emissions, is a rapidly growing concern for air quality management in many major urban centres (e.g. Ghose et al., 2004; Chattopadhyay et al, 2007; Sharma and John, 2010; Gulia et al, 2015; Miranda et al, 2015)

  • We analysed 13 months of hourly traffic density, radon, benzene and carbon monoxide (CO) concentrations together with climatological data, in order to quantify the influence of changing atmospheric conditions and traffic density on air quality in Bern, Switzerland

  • As part of our investigations, we adapted a recently developed radon-based technique for assessing nocturnal atmospheric stability (Chambers et al, 2015a, 2015b), in order to account for seasonal changes in day length and reductions in the local radon source function as a result of snow/ice cover and soil moisture effects in winter

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Summary

Introduction

Associated emissions (e.g. fine particles, SO2, NOx, CO and various hydrocarbons including benzene), is a rapidly growing concern for air quality management in many major urban centres (e.g. Ghose et al., 2004; Chattopadhyay et al, 2007; Sharma and John, 2010; Gulia et al, 2015; Miranda et al, 2015). For benzene and carbon monoxide (CO) pollution in particular, passenger vehicles (cars and motorbikes) are the dominant urban sources Verma et al, 2003; Borgie et al, 2014; Hien et al, 2014; Sood et al, 2014; Kim et al, 2015b; Li et al, 2015), other sources of these pollutants can be significant in industrial or semi-rural settings License (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.

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