Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources

Bartík, Lukáš; Huszár, Peter; Karlický, Jan; Vlček, Ondřej; Eben, Kryštof

doi:https://doi.org/10.5194/acp-24-4347-2024

Articles | Volume 24, issue 7

https://doi.org/10.5194/acp-24-4347-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-4347-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 7

Research article

|

15 Apr 2024

Research article |

| 15 Apr 2024

Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources

Lukáš Bartík, Peter Huszár, Jan Karlický, Ondřej Vlček, and Kryštof Eben

Supplement

https://doi.org/10.5194/acp-24-4347-2024-supplement

Data sets

Air Quality e-Reporting products on EEA data service: E1a and E2a data sets EEA https://discomap.eea.europa.eu/map/fme/AirQualityExport.htm

Copernicus Atmosphere Monitoring Service regional emissions version 4.2 (CAMS-REG-v4.2) J. Kuenen et al. https://doi.org/10.24380/0vzb-a387

EBAS database EBAS https://ebas-data.nilu.no/default.aspx

Model code and software

CAMx version 7.10 Ramboll https://www.camx.com/download/source/

WRF Version 4.2 WRF https://github.com/wrf-model/WRF/releases/tag/v4.2

Download

Article (24589 KB)
Full-text XML

Short summary

The presented study deals with the attribution of fine particulate matter (PM_2.5) concentrations to anthropogenic emissions over Central Europe using regional-scale models. It calculates the present-day contributions of different emissions sectors to concentrations of PM_2.5 and its secondary components. Moreover, the study investigates the effect of chemical nonlinearities by using multiple source attribution methods and secondary organic aerosol calculation methods.