Title:
Modelling emission contributions to air quality concentrations during a covid-19 lockdown
Authors:
- Roberto San Jose
- Juan Luis Perez-Camanyo
Published in:
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
DOI:
https://doi.org/10.7148/2023-0236
Citation format:
Roberto san jose, Juan luis perez-camanyo (2023). Modelling Emission Contributions to air quality concentrations during a COVID-19 lockdown, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0236
Abstract:
In this work, two air quality simulations are run to analyze the impacts of the reduction of anthropogenic emissions during COVID-19 lockdown over Madrid (Spain) area: one simulation considers the emission reductions during the lockdown (COVID simulation) and a second simulation, "business as usual" (BAU simulation) with an emissions' scenario without restrictions. Source apportionment techniques are used to identify and quantify the contributions from main pollution sources with the purpose to provide understanding on what measures should be taken to address them, and this work shows the potential of this technique. This study helps to elucidate the complex and nonlinear response of O3 and PM concentrations after a reduction of emissions, mainly from the transport sector, during the COVID-19 lockdown period.
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