EGU25-15945, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15945
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Friday, 02 May, 11:40–11:50 (CEST)
 
Room E2
Field Applications with Air Quality Monitoring: From Social Equity to CO2 Infrastructure
Morten Stoltenberg1, Thor-Bjørn Ottosen1, Stig Koust1, Francesco Cappelluti1, Søren Møller1, Søren Jørgensen2, Sara Cox2, Naja Villadsen1, Lars Overgaard1, Gintaras Simaitis3, Christoffer Karoff4, Angel Vara-Vela4, Anna Eikeland1, Jon Knudsen5, Rafaela Alberti4, and Anne Sofie Engedal1
Morten Stoltenberg et al.
  • 1Danish Technological Institute, Air & Sensor Technology, Aarhus, Denmark (mrst@teknologisk.dk)
  • 2Aarhus Kommune, Aarhus, Denmark
  • 3Devlabs ApS, Copenhagen, Denmark
  • 4Aarhus University, Aarhus, Denmark
  • 5Explicit ApS, Virum, Denmark

Urban air quality monitoring presents unique challenges due to complex emission patterns and operational difficulties. Our work and research combine multiple approaches to address these challenges, focusing particularly on three areas: improving quality of life for vulnerable population groups in cities, managing a sensor network on a construction-site, and leakage monitoring of fugitive greenhouse gas emissions.

Through the DivAirCity project, implemented across five European cities, we developed an integrated monitoring framework that combines quantitative air quality measurements with social equity considerations, specifically addressing the disproportionate impact of pollution on vulnerable communities. Our monitoring framework combines quantitative air quality measurements with social equity considerations, requiring careful attention to sensor placement, data quality assurance, and long-term reliability.

As part of the Green Construction Site of the Future project, we gained valuable experience in deploying and maintaining sensor networks in challenging and dynamic construction environments. Over a two-year period, we successfully operated a continuous monitoring system, investigating dust mitigation strategies and PM2.5 dispersion patterns from source points. This implementation provided valuable insights into the practical challenges of maintaining long-term sensor networks in harsh urban environments.

For our environmental monitoring project MONICO, we demonstrate and evaluate the integration of low-cost sensors, satellite observations, inverse modelling, and drone measurements for quantifying fugitive emissions in the CO2 infrastructure. Through controlled release experiments, we validated and tested methodologies for selecting and deploying sensor networks around point sources, while addressing challenges in weather influence and data reliability.

Together, these projects contribute to the practical aspects of operating sensor networks across different contexts, contributing to environmentally conscious cities and establishing best practices for effective monitoring strategies.

How to cite: Stoltenberg, M., Ottosen, T.-B., Koust, S., Cappelluti, F., Møller, S., Jørgensen, S., Cox, S., Villadsen, N., Overgaard, L., Simaitis, G., Karoff, C., Vara-Vela, A., Eikeland, A., Knudsen, J., Alberti, R., and Engedal, A. S.: Field Applications with Air Quality Monitoring: From Social Equity to CO2 Infrastructure, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15945, https://doi.org/10.5194/egusphere-egu25-15945, 2025.