Assessing ozone exposure for epidemiological studies in Malmö and Umeå, Sweden

Malmqvist, Ebba; Olsson, David; Hagenbjörk-Gustafsson, Annika; Forsberg, Bertil; Mattisson, Kristoffer; Strömgren, Magnus; Swietlicki, Erik; Rylander, Lars; Hoek, Gerard; Tinnerberg, Håkan; Modig, Lars

doi:10.1016/j.atmosenv.2014.05.038

Cited by 24 publications

(21 citation statements)

References 20 publications

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“…However also the urban background in the three major cities was only 1.6 mg/m 3 lower than at nearby regional sites. The variability of the urban background was relatively small in the major cities, consistent with observations for US cities such as Atlanta (EPA, 2013) and a recent study in Malmö, Sweden (Malmqvist et al, 2014). In other large US cities such as Los Angeles, substantial variability of urban background concentrations occurred (EPA, 2013).…”

Section: Concentration Patternssupporting

confidence: 77%

“…The modest explained variance in Malmö was likely due to low variability of concentrations. The structure of the Umea model was very similar to our model (Malmqvist et al, 2014). A spatio-temporal model for daily daytime average ozone concentrations from routine monitors in Quebec (Canada), improved ozone predictions compared to kriging of monitored data (Adam-Poupart et al, 2014).…”

Section: Previous Land Use Regression Studiesmentioning

confidence: 73%

“…Rural variations were mainly explained by altitude, which are not relevant explaining variations in ozone levels in the Netherlands alone. LUR models for Malmö and Umea, Sweden explained 40% and 67% of the variability of average ozone concentrations using similar predictor variables and model development procedures as in the current study (Malmqvist et al, 2014). The modest explained variance in Malmö was likely due to low variability of concentrations.…”

Section: Previous Land Use Regression Studiesmentioning

confidence: 80%

“…Land use regression has been used successfully in mapping concentrations of pollutants such as NO 2 , PM 2.5 , the soot content of PM 2.5 and VOC's (Jerrett et al, 2005;Hoek et al, 2008). Fine scale LUR models have been reported for ozone in a single study in two cities in Sweden with moderate success (Malmqvist et al, 2014). LUR modelling for ozone has been conducted for the Europe Union, using a coarse grid of 1 Â 1 km 2 in which local variations on street level were not included (Beelen et al, 2009).…”

Section: Introductionmentioning

confidence: 97%

See 3 more Smart Citations

A national fine spatial scale land-use regression model for ozone

Kerckhoffs

Wang

Meliefste

et al. 2015

Environmental Research

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Section: Concentration Patternssupporting

confidence: 77%

Section: Previous Land Use Regression Studiesmentioning

confidence: 73%

Section: Previous Land Use Regression Studiesmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 97%

See 2 more Smart Citations

A national fine spatial scale land-use regression model for ozone

Kerckhoffs

Wang

Meliefste

et al. 2015

Environmental Research

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“…Road traffic and static combustion are major sources of the NO x gases (NO and NO 2 ) leading to pronounced spatiotemporal gradients in NO 2 in urban areas (Cyrys et al, 2012). As a consequence of the fast photochemical cycling between NO x and O 3 , concentrations of O 3 also exhibit strong spatiotemporal variability in urban areas (McConnell et al, 2006;Malmqvist et al, 2014). At present, NO 2 and O 3 are measured using expensive, but traceablycalibrated, fixed-site monitors in sparse networks, or via passive diffusion samplers (Martin et al, 2010;Matte et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Evaluation and calibration of Aeroqual series 500 portable gas sensors for accurate measurement of ambient ozone and nitrogen dioxide

Lin

Gillespie

Schuder

et al. 2015

Atmospheric Environment

108

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Low-power, and relatively low-cost, gas sensors have potential to improve understanding of intra-urban air pollution variation by enabling data capture over wider networks than is possible with 'traditional' reference analysers. We evaluated an Aeroqual Ltd. Series 500 semiconducting metal oxide O3 and an electrochemical NO2 sensor against UK national network reference analysers for more than 2months at an urban background site in central Edinburgh. Hourly-average Aeroqual O3 sensor observations were highly correlated (R2=0.91) and of similar magnitude to observations from the UV-absorption reference O3 analyser. The Aeroqual NO2 sensor observations correlated poorly with the reference chemiluminescence NO2 analyser (R2=0.02), but the deviations between Aeroqual and reference analyser values ([NO2]Aeroq-[NO2]ref) were highly significantly correlated with concurrent Aeroqual O3 sensor observations [O3]Aeroq. This permitted effective linear calibration of the [NO2]Aeroq data, evaluated using 'hold out' subsets of the data (R2≥0.85). These field observations under temperate environmental conditions suggest that the Aeroqual Series 500 NO2 and O3 monitors have good potential to be useful ambient air monitoring instruments in urban environments provided that the O3 and NO2 gas sensors are calibrated against reference analysers and deployed in parallel

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The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

Hagenbjörk

Malmqvist

Mattisson

et al. 2017

Environ Monit Assess

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Ozone and nitrogen oxides (NOx) are air pollutants with known associations to adverse health effects on humans. Few studies have simultaneously measured ozone and nitrogen oxides with high spatial resolution. The main aim of this paper was to assess the levels and variation of ground-level ozone, NO2 and NOx in two Swedish cities. An additional aim was to describe the levels of these pollutants within and between three different types of measurement sites (regional background, urban background and traffic sites) and within and between different measurement periods of the year. Three weekly sampling campaigns of NOx and ozone were conducted simultaneously at 20 sites in two Swedish regions using Ogawa badges. Ozone was measured at 20 additional sites in each area. The median ozone concentration for all measurements was statistically significantly higher in Malmö (67 μg/m3) compared to Umeå (56 μg/m3), and in both cities, ozone levels were highest in April. Measurement period was a more important factor for describing the variation in ozone concentrations than the type of measurement site. The levels of NO2 and NOx were statistically significantly higher in the Malmö area (8.1 and 12 μg/m3) compared to the Umeå area (4.5 and 8.9 μg/m3). The levels were generally highest at the sites categorized as traffic, while the variability between different seasons was sparse.Electronic supplementary materialThe online version of this article (doi:10.1007/s10661-017-5872-z) contains supplementary material, which is available to authorized users.

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Assessing ozone exposure for epidemiological studies in Malmö and Umeå, Sweden

Cited by 24 publications

References 20 publications

A national fine spatial scale land-use regression model for ozone

A national fine spatial scale land-use regression model for ozone

Evaluation and calibration of Aeroqual series 500 portable gas sensors for accurate measurement of ambient ozone and nitrogen dioxide

The spatial variation of O3, NO, NO2 and NO x and the relation between them in two Swedish cities

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