10:15am - 10:30amTU1-4: 1
Severe haze episodes in Beijing may be influenced by emissions in far western China
Benjamin Foreback1, Petri Clusius1, Metin Baykara1,2, Alexander Mahura1, Markku Kulmala1, Pauli Paasonen1, Michael Boy1,3
1University of Helsinki, Finland; 2Istanbul Technical University; 3LUT University
In this study, we ran the FLEXPART-SOSAA model during and after a severe haze episode in Beijing. We found that as much as half of the particles originated outside of Beijing, and 5% of the primary mass and 8% of SOA mass originated in Xinjiang region in far western China. We also tested several scenarios related to potential emission control strategies that could mitigate the severity of haze episodes.
10:30am - 10:45amTU1-4: 2
Importance of Anthropogenic Sources for Seasonal and Spatial Variability of Primary and Secondary Particulate Matter in Central Europe
Hanna Wiedenhaus1, Roland Schrödner1, Ralf Wolke1, Shubhi Arora1, Laurent Poulain1, Radek Lhotka2
1Leibniz Institute for Tropospheric Research (TROPOS), Germany; 2Institute of Chemical Process Fundamentals, Czech Academy of Sciences
The study applies the COSMO-MUSCAT model to analyse PM sources at sites in Germany and the Czech Republic. The model underestimates PM2.5 concentrations, possibly due to unaccounted emissions from Saharan dust intrusions and stagnant, cold weather conditions. A tagging method identifies emission sources by sector and country, highlighting domestic heating as a major winter contributor. Further sensitivity tests reveal underestimated SOA formation from aromatic VOCs during wood and coal combustion. Seasonal comparisons provide insight into model performance, with future improvements planned through the integration of a Heating Degree Day approach to better capture heating-related emission variations.
10:45am - 11:00amTU1-4: 3
Towards an improved historical emission dataset for modelling air quality in urban areas during the industrialization
Clara Seidel1, Roland Schrödner1, Ina Tegen1, Anna Hanitzsch2
1Leibniz Institute for Tropospheric Research, Leipzig, Germany; 2Faculty of Economics and Management Science, Leipzig University, Leipzig, Germany
Is there a link between industrial-era air quality and contemporary socio-economic outcomes in German cities? Answering this question requires spatial data on urban air pollution at the end of the 19th century. The regional chemistry-transport-model ICON-MUSCAT is used to model historical air quality in Germany using an improved emission dataset based on the emissions of the Community Emissions Data System (CEDS). Improvements of the spatial distribution of the sector-wise emissions are performed with the help of population data and historical maps that provide the location of factories etc. within the city, as well as the extent of populated areas.
11:00am - 11:15amTU1-4: 4
Tracking the origin of natural aerosol precursors using chemical-transport modelling
Terje Tammekivi1, Marko Kaasik1, Urmas Hõrrak1, Kaupo Komsaare1, Steffen Manfred Noe2, Rostislav Kouznetsov3, Mikhail Sofiev3, Markku Kulmula4, Heikki Junninen1
1Institute of Physics, University of Tartu, Tartu, 50411, Estonia; 2Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, 51006, Estonia; 3Finnish Meteorological Institute, Helsinki, FI-00101, Helsinki, Finland; 4INAR, University of Helsinki, FI-00101, Helsinki, Finland
The study assesses aerosol formation sources through chemical analysis and emission inventories, focusing on nanoparticle precursors using inverse modeling techniques. It examines five aerosol precursors in Estonia. SO2 is monitored at multiple stations, while H2SO4, HIO3, and two highly oxidized organic molecules (HOMs: C10H15NO8, C10H14O9) were measured at the SMEAR Estonia station from 2019 to 2023. Data from April to November 2019 are used in this research. The SILAM v5.7 model was used to detect aerosol precursor footprints, processed using a Time-Of-Flight mass spectrometer and TofTools software.
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