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    Phenomenology of ultrafine particle concentrations and size distribution across urban Europe
    (Amsterdam [u.a.] : Elsevier Science, 2023) Trechera, Pedro; Garcia-Marlès, Meritxell; Liu, Xiansheng; Reche, Cristina; Pérez, Noemí; Savadkoohi, Marjan; Beddows, David; Salma, Imre; Vörösmarty, Máté; Casans, Andrea; Casquero-Vera, Juan Andrés; Hueglin, Christoph; Marchand, Nicolas; Chazeau, Benjamin; Gille, Grégory; Kalkavouras, Panayiotis; Mihalopoulos, Nikos; Ondracek, Jakub; Zikova, Nadia; Niemi, Jarkko V.; Manninen, Hanna E.; Green, David C.; Tremper, Anja H.; Norman, Michael; Vratolis, Stergios; Eleftheriadis, Konstantinos; Gómez-Moreno, Francisco J.; Alonso-Blanco, Elisabeth; Gerwig, Holger; Wiedensohler, Alfred; Weinhold, Kay; Merkel, Maik; Bastian, Susanne; Petit, Jean-Eudes; Favez, Olivier; Crumeyrolle, Suzanne; Ferlay, Nicolas; Martins Dos Santos, Sebastiao; Putaud, Jean-Philippe; Timonen, Hilkka; Lampilahti, Janne; Asbach, Christof; Wolf, Carmen; Kaminski, Heinz; Altug, Hicran; Hoffmann, Barbara; Rich, David Q.; Pandolfi, Marco; Harrison, Roy M.; Hopke, Philip K.; Petäjä, Tuukka; Alastuey, Andrés; Querol, Xavier
    The 2017–2019 hourly particle number size distributions (PNSD) from 26 sites in Europe and 1 in the US were evaluated focusing on 16 urban background (UB) and 6 traffic (TR) sites in the framework of Research Infrastructures services reinforcing air quality monitoring capacities in European URBAN & industrial areaS (RI-URBANS) project. The main objective was to describe the phenomenology of urban ultrafine particles (UFP) in Europe with a significant air quality focus. The varying lower size detection limits made it difficult to compare PN concentrations (PNC), particularly PN10-25, from different cities. PNCs follow a TR > UB > Suburban (SUB) order. PNC and Black Carbon (BC) progressively increase from Northern Europe to Southern Europe and from Western to Eastern Europe. At the UB sites, typical traffic rush hour PNC peaks are evident, many also showing midday-morning PNC peaks anti-correlated with BC. These peaks result from increased PN10-25, suggesting significant PNC contributions from nucleation, fumigation and shipping. Site types to be identified by daily and seasonal PNC and BC patterns are: (i) PNC mainly driven by traffic emissions, with marked correlations with BC on different time scales; (ii) marked midday/morning PNC peaks and a seasonal anti-correlation with PNC/BC; (iii) both traffic peaks and midday peaks without marked seasonal patterns. Groups (ii) and (iii) included cities with high insolation. PNC, especially PN25-800, was positively correlated with BC, NO2, CO and PM for several sites. The variable correlation of PNSD with different urban pollutants demonstrates that these do not reflect the variability of UFP in urban environments. Specific monitoring of PNSD is needed if nanoparticles and their associated health impacts are to be assessed. Implementation of the CEN-ACTRIS recommendations for PNSD measurements would provide comparable measurements, and measurements of <10 nm PNC are needed for full evaluation of the health effects of this size fraction.
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    Modeling the multiphase processing of an urban and a rural air mass with COSMO-MUSCAT
    (Amsterdam : Elsevier, 2014) Schrödner, R.; Tilgner, A.; Wolke, R.; Herrmann, H.
    A reduced version of the complex aqueous phase mechanism CAPRAM3.0i (C3.0RED) was used in the regional chemistry transport model COSMO–MUSCAT in a 2-D application. Besides sulfate and nitrate production, the mechanism treats a complex HOx-chemistry, transition metal ion chemistry and organic species up to C4. The effects of the cloud chemistry on the chemical composition of air and particles were investigated. Sensitivity studies were conducted for an urban and a rural air mass. For this purpose simulations with C3.0RED were compared to ones with a simple inorganic aqueous phase mechanism (INORG) and without aqueous phase chemistry. A reduction of the gas phase concentrations of major oxidants was observed especially in the urban environment. Compared to INORG, C3.0RED is always more acidic leading to shifts in several chemical subsystems, (e.g. production of sulfate). Using C3.0RED instead of INORG, differences in sulfate mass of 3% to −15% occurred. The modeled O/C-ratio tends to be higher than observations as C3.0RED does not consider the whole population of organics and no insoluble organic mass. Nevertheless, the modeled concentration of glyoxalic acid is in the range of atmospheric measurements in both environments, whereas oxalic acid and pyruvic acid are underestimated in the urban case.