Spatial variation of aerosol number concentration in Helsinki city
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Urban atmospheric particle size distribution in Santiago, Chile
2021, Atmospheric Pollution ResearchUltrafine particles and PM<inf>2.5</inf> in the air of cities around the world: Are they representative of each other?
2019, Environment InternationalPotential to reduce the concentrations of short-lived climate pollutants in traffic environments: A case study in a medium-sized city in Brazil
2019, Transportation Research Part D: Transport and EnvironmentCitation Excerpt :Studying the spatio-temporal distribution of air pollutants helps (i) characterize their emission sources, which is key information for successful strategies to protect public health and to mitigate climate effects, (ii) diagnose the population exposure to harmful species, (iii) understand their lifecycle in the urban atmosphere, and (iv) validate air quality dispersion models. The spatio-temporal variability of traffic-related pollutants has been traditionally studied by gathering data from monitoring sites across cities over several months or even years (e.g., Birmili et al., 2015; Blanchard et al., 2014; Kutzner et al. 2018), or during short-term campaigns for research purposes (e.g., Buzorius et al., 1999; Gu et al., 2013; Dos Santos-Juusela et al., 2013; Krecl et al., 2018, 2014, 2011). The introduction of portable instruments in the market over the last decade favored the flourishment of mobile sampling studies with great detail in urban areas, particularly highlighting the large variability of the ambient concentrations of BC and PM2.5 (e.g., Krecl et al., 2014; Targino et al., 2016), particle number PN and NOx (e.g., Hagemann et al., 2014) in connection to vehicular sources.
Aerosol connections between three distant continental stations
2018, Atmospheric EnvironmentPotential source identification for aerosol concentrations over a site in Northwestern India
2016, Atmospheric ResearchCitation Excerpt :Most of the monitoring networks across the world measures PM10 and PM2.5 (mass of particulate matter smaller than 10 and 2.5 μm in aerodynamic diameter, respectively). Measurement of aerosol particle number size distribution was carried out in many cities of the world i.e. Birmingham (Harrison et al., 1999), Atlanta (Woo et al., 2001), Helsinki (Buzorius et al., 1999; Hussein et al., 2004), Leipzig (Wehner and Wiedensohler, 2003), Pittsburgh (Stanier et al., 2004), Beijing (Wu et al., 2008). These studies showed the seasonal variation with low aerosol number concentration in summer while high during winter.
Development of a land-use regression model for ultrafine particles in Toronto, Canada
2015, Atmospheric EnvironmentCitation Excerpt :Assessing UFP concentration gradients across an urban area remains challenging. Efforts to characterize UFP concentration gradients in urban areas have measured UFP simultaneously at multiple sites (Buzorius et al., 1999; Cyrys et al., 2008; Ragettli et al., 2014; Sabaliauskas et al., 2014), while walking along roadways with different traffic intensities (Kaur et al., 2006), and while driving (Kittelson et al., 2006). Land-use regression (LUR) is a commonly used modelling technique that establishes empirical relationships between air pollutant concentrations and geographical predictor variables.