10:15am - 10:30amMO1-1: 1
Intercomparison Campaign of Total Carbon Analyzers and Aethalometers: TC-BC Equivalence to OC/EC Using CEN/TR 18076
Martin Rigler1, Gašper Lavrič1, Marko Mohorič1, Martina Gianotti2, Jean Eudes Petit3, Lorna Foliot3, Antonin Berge3, Hasna Chebaicheb4, Guillaume Grignion5, Alice Mouchet6, Amélie De Filippis7, Aurelie Lambreschi8, Irena Ježek Brecelj1, Bálint Alföldy1, Matic Ivančič1, Olivier Favez4, Asta Gregorič1
1Aerosol d.o.o., Slovenia; 2Department of Earth and Environmental Sciences, University of Milano-Bicocca, Milano, 20126, Italy; 3Laboratory for Climate and Environmental Science (LSCE), Gif-sur-Yvette, 91191, France; 4French National Institute for Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, 60550, France; 5Qualitair Corse, Lieu-dit Lergie, 20250, France; 6Atmo Occitanie, Montpellier, 34470, France; 7Lig'Air, Saint-Cyr-en-Val, 45590, France; 8Atmo Normandie, Rouen, 76000, France
Harmonizing elemental carbon (EC) and organic carbon (OC) measurement methods across Europe is essential for standardized air quality data. The reference method (EN 16909) is accurate but time-consuming, prompting the need for automated alternatives. The CEN/TR 18076 report provides guidance on assessing the equivalency of automatic methods to EN 16909. An intercomparison campaign at ACTRIS SIRTA in early 2025 tested TC-BC methods against standard 24h offline filters. These efforts support the development of automated, reliable EC/OC monitoring for regulatory use.
10:30am - 10:45amMO1-1: 2
Co-occurrence of elemental carbon and mineral dust in thermal-optical analysis: reducing the bias and approximating mineral dust
Daniela Kau1, Marion Greilinger2, Andjela Vukićević1, Jakub Bielecki1, Anne Kasper-Giebl1
1TU Wien, Austria; 2GeoSphere, Austria
The assignment of total carbon to organic and elemental carbon via thermal-optical analysis is influenced by various parameters set prior and after the measurement. Here, we focus on the bias introduced by the co-occurrence of mineral dust in PM10 and snow samples collected at the Global Atmosphere Watch station Sonnblick Observatory between 2019 and 2024. We review the data, identify affected samples and assess the underestimation of elemental carbon by routine protocols for evaluation. Utilizing this interference, we estimate the mineral dust mass directly from thermal-optical analysis data.
10:45am - 11:00amMO1-1: 3
Particulate and gas emissions from wildfires in the southern Amazon from GOES-16 fire radiative power retrievals
Thiago Ferreira da Nobrega1,2, Alexandre Correia2, Joel F. de Brito1, Anna Font1
1Institute of Physics, University of Sao Paulo; 2Centre for Energy and Environment, IMT Nord Europe
This work uses geostationary satellite GOES-16 data from 2020 to 2022 to study fire patterns and emissions in the southern Amazon. The Fire/Hotspot Characterization algorithm processes GOES-16's Advanced Baseline Imager data, providing insights into fire dynamics with an unparalleled temporal resolution of 10 minutes. This approach allows for retrieving accurate temporal evolution of fire radiative power (FRP) and emission estimates compared to previous efforts based on polar satellites.
11:00am - 11:15amMO1-1: 4
Performance evaluation of a portable optoacoustic sensor for Black carbon in lab conditions
Ioannis Raptis1, Nikolaos Kousias2, Linda Haedrich3,4, Uli Stahl3,4, Vasilis Ntziachristos3,4, Leonidas Ntziachristos1
1Aristotle University of Thessaloniki, Greece; 2Maurus Oy, Finland; 3Technical University of Munich, Germany; 4Helmholtz Zentrum München, Germany
Black carbon (BC) is a significant component of atmospheric aerosols, heavily influencing air quality, human health, and climate forcing. The need for real-time, spatially resolved BC measurements—especially in urban areas and near emission sources—highlights the importance of portable, cost-effective sensors. This study evaluates a novel portable optoacoustic BC sensor for exhaust applications, in lab conditions. Controlled experiments assess its sensitivity, accuracy, and stability. Results indicate that the sensor is a promising low-cost alternative for field monitoring, particularly in near-source and exhaust emission studies.
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