Measurement of particle number and related pollutant concentrations in an urban area in South Brazil

The purpose of the present study was to analyze atmospheric particle number concentration at Sapucaia do Sul, in the Metropolitan Area of Porto Alegre, and associate it with the pollutants NO, NO2, and O-3. Measurements were performed in two periods: August to October, in 2010 and 2011. We used the following equipment: the continuous particulate monitor (CPM), the chemiluminescent nitrogen oxide analyzer (AC32M), and the UV photometric ozone analyzer (O342M). Daily and hourly particle number concentrations in fractions PR1.0 (0.3-1.0 mu m), PR2.5 (1.0-2.5 mu m), and PR10 (2.5-10 mu m), and concentrations of pollutants NO, NO2, NOx, and O-3 were measured. These data were correlated with meteorological parameters such as wind speed, temperature, relative humidity, and solar radiation. The daily variation of OX (NO2 + O-3) and its relation with NO2 were also established. The results obtained for daily particle number concentration (particles L-1) showed that the area of study had higher particle number of PR2.5 and PR1.0 size ranges, with values of 19.5 and 28.51 particles L-1, respectively. Differences in particle number concentrations in PR1 and PR2.5 size ranges were found between weekdays and weekends. The daily variation per hour of concentrations of particle number, NO, and NOx showed peaks during increased traffic flow in the morning and in the evening. NO2 showed peaks at different times, with the first peak (morning) 2 h after the peak of NO, and a second peak in the evening (19:00). This is due to the oxidation of NO and to the photolysis of NO3 formed overnight. Correlation analysis suggests that there may be a relationship between the fine and ultrafine particles and NO, probably indicating that they have similar sources, such as vehicular emissions. In addition, a possible relationship of solar radiation with fine particle number concentrations, as well as with O-3 was also observed. The results, too, show an inverse relationship between particle number concentration and relative humidity. (C) 2013 Elsevier Ltd. All rights reserved.