10:15am - 10:45amTU1-1: 1
Real-time source apportionment using the AXA (ACSM, Xact, Aethalometer) instrumental set-up in urban areas in China
Manousos I. Manousakas1, Olga Zografou1, Yuemei Han3,4,5, Qiyuan Wang3,4,5, Tianqu Cui2, Jie Tian3,4,5, Yang Chen6,7, Jay G. Slowik2, Kaspar R. Daellenbach2, Shaofei Kong8, Junji Cao3,4,5, André S.H. Prevot2
1Environmental Radioactivity & Aerosol Tech. for Atmospheric & Climate Impacts, INRaSTES, National Centre of Scientific Research “Demokritos”, Ag. Paraskevi, 15310, Greece; 2Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland; 3Key Laboratory of Aerosol Chemistry and Physics, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China; 4CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China; 5Shaanxi Key Laboratory of Atmospheric and Haze-fog Pollution Prevention, Xi’an 710061, China; 6Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; 7Key Lab of Aerosol Chemistry & Physics, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; 8Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China
This study addresses the need for real-time source apportionment (RT-SA) to improve responses to acute pollution events. Traditional SA methods have limitations, including low time resolution and delayed post-analysis. This research implements two RT-SA models in four Chinese cities (Xi’an, Chongqing, Beijing, and Wuhan), using a combination of ACSM, Xact 625, and Aethalometer instruments to quantify PM sources. A newly developed RT-SA software, alongside SoFi RT. RT SA enables near-instantaneous identification of organic and inorganic PM fractions. Comparison with state-of-the-art techniques confirms their reliability, demonstrating RT-SA’s potential for real-time air quality monitoring and improved urban pollution mitigation strategies.
10:45am - 11:00amTU1-1: 2
Characterization of high time resolution fine PM in a middle-European urban environment
Anikó Angyal1, Enikő Papp1, Silvia Nava2, Giulia Calzolai2, Franco Lucarelli2, Enikő Furu1, Zsófia Kertész1
11Laboratory of Heritage Science, HUN-REN Institute for Nuclear Research, Debrecen, H-4026, Hungary; 2Department of Physics and Astronomy, University of Florence and INFN-Florence, Sesto F.no, 50019, Italy
The aim of this work was to study the diurnal variation of elemental components, black carbon and sources of PM2.5 as well as their size-distribution in Debrecen, Hungary. PM were collected with two-stage PIXE International sequential “streaker”. During some campaigns, an Aethalometer and an OPS were also used. The elemental composition of the samples was determined by PIXE at INFN LABEC. SA was performed on obtained data using PMF model. The main advantage of combining the applied methods is that it can enhance our understanding of the sources of PM and their effects on different size fractions of PM2.5.
11:00am - 11:15amTU1-1: 3
Aerosol source apportionment at the site of Lecce (Italy): a comparison between physics- and chemistry-based PMF
Caterina Mapelli1, Daniele Contini3, Henri Diémoz4, Adelaide Dinoi3, Daniela Cesari3, Francesca Barnaba2
1Institute of Methodologies for Environmental Analysis, IMAA-CNR, Tito Scalo, Italy; 2nstitute of Atmospheric Science and Climate, ISAC-CNR, Rome, Italy; 3Institute of Atmospheric Science and Climate, ISAC-CNR, Lecce, Italy; 4Regional Environmental Protection Agency of the Aosta Valley, ARPA Valle d’Aosta, Saint-Christophe, Italy
A source apportionment of the urban-background site of Lecce, Italy, was realised using aerosol physical properties such as size distributions and aerosol absorption data from 2016–2017. Results were compared with chemical PMF analysis performed in the same period. The study highlights the strengths of physical PMF in capturing ultrafine particle dynamics and traffic-related emissions with a fine time resolution but notes its limitations in distinguishing biomass burning from fossil fuels. Overall, physical PMF complements chemical PMF, offering advantages such as real-time monitoring and simpler data collection, making it a valuable tool for air quality assessment.
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