11:30am - 11:45amTU2-3: 1
Mobile exposure mapping using citizens and portable instruments: a service tool for an increased spatiotemporal understanding on air pollution
Jelle Hofman1, Jo Van Laer1, Emre Ozdemir2, Sef Van den Elshout2, Maria Lopez3, Aina Main3, Ines Gonzalez3, Mar Viana3, Igor Okraska4, Maceij Karasewicz4, Zuzanna Rykowska4, Mateusz Winkowski4, Iwona Stachlewska4, Martine Van Poppel1
1Flemish institute for Technological Research (VITO), Mol, 2400, Belgium; 2DCMR Environmental Protection Agency, Rotterdam, 3112 NA, The Netherlands; 3Institute of Environmental Assessment and Water Research (IDAEA), Barcelona, 08034, Spain; 4Institute of Geophysics, University of Warsaw, Warsaw, Poland
Recent advances in sensing technologies and community engagement have resulted in mobile air quality monitoring tools, enabling data collection at unprecedented scales. This study presents outcomes from mobile monitoring campaigns with citizens carrying portable instrumentation for black carbon (BC), ultrafine particles (UFP) and particulate matter (PM) in Rotterdam (NL), Barcelona (ES) and Warsaw (PL). Results show spatiotemporal and seasonal variability of the pollutants and allowed identification of specific cold- and hotspot locations. A data processing workflow for mobile air quality measurements is proposed including (i) instrument validation, (ii) spatial aggregation and (iii) temporal correction to obtain representative air quality maps.
11:45am - 12:00pmTU2-3: 2
Modeling City-level Intra-urban Spatial Variations of Airborne Ultrafine Particles from Low-cost Sensors and Small-scale Monitoring Campaign
Sultan F.I. Abdillah1, Sheng-Jie You1, Ya-Fen Wang1, Yang Wang2, Jing Wang3
1Chung Yuan Christian University, Taiwan; 2Hebei Normal University, China; 3ETH Zurich, Switzerland
This study compares the performance of machine learning and land use regression models to estimate the concentration of Black Carbon (BC), Ultrafine Particle Number Concentration (PNC), PM10, and PM2.5 in Zurich City, Switzerland. High spatial resolution (50 m x 50 m grid) models were succesfully developed and externally validated. Among four algorithms (LM-LUR, GAM, RF, XGBoost), RF stands out as the most optimum with fair R2 range of 0.74 - 0.87 for four pollutants. All models were derived from small-scale monitoring campaign utilizing low-cost sensors. This approach could be implemented in country/ city with lack of large scale monitoring network.
12:00pm - 12:15pmTU2-3: 3
Assessment of Polycyclic Aromatic Hydrocarbon concentrations and Black carbon levels in primary schools and residences in urban and rural Barcelona
Maria Antonia Aretaki1, Judith Desmet1, Angeliki Karanasiou1, Mar Viana1,2, Barend L van Drooge1
1Institute of Environmental Assessment and Water Research,Barcelona,08034 Spain; 2Pollution Prevention Unit, Spanish Ministry for the Ecological Transition, Madrid,28003 Spain
Children are particularly vulnerable to indoor air pollution and school environments significantly contribute to their overall exposure. This study, part of the InChildHealth project, examined PAH and BC levels in schools and homes in Barcelona, located in different areas. Results showed higher concentrations in urban intensive-traffic sites in colder months and rural areas that were affected by wood combustion. Poor ventilation and indoor activities like smoking also contributed to PAH accumulation. Moreover, a strong correlation between BC and high-molecular PAHs (R2=0.74) suggests common sources. These findings highlight the need for better air quality policies to effectively safeguard children’s health.
12:15pm - 12:30pmTU2-3: 4
Exposure Assessment of Aviation-Related Aerosol Particles: Findings from the BEAR Study
Magdalena Weiss1,2, Simonas Kecorius1,2, Susanne Sues1,3, Vanessa Soppa4, Barbara Hoffmann4, Miriam Wiese-Posselt5, Josef Cyrys1
1Institute of Epidemiology, Helmholtz Zentrum München, 85764, Germany; 2Model-based Environmental Exposure Science, University of Augsburg, 86159, Germany; 3Environmental Science Center, University of Augsburg, 86159, Germany; 4Institute of Occupational, Social and Environmental Medicine, HHU, Düsseldorf, 40225, Germany; 5Institute of Hygiene and Environmental Medicine, Charité-Universitätsmedizin Berlin, 12203, Germany
The Berlin-Brandenburg Air Study (BEAR) is the first study in Germany to comprehensively assess short- and long-term AV-UFP exposures and their potential health effects. The study specifically examines pulmonary, cardiovascular, and cognitive health outcomes in primary school children. As part of BEAR, extensive particle number concentration (PNC) measurements were conducted at multiple schools in Berlin and Brandenburg from 2020 to 2024, providing an opportunity to analyse UFP exposure near two international airports. The exposure assessment results will play an important role in forthcoming epidemiological investigations, offering a holistic understanding of airports’ impact on health implications.
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