Particulate matter formation potential of gas-phase emissions over Germany : final report / by Ruud Janssen, Leon Geers, Richard Kranenburg, Peter Coenen, Martijn Schaap (TNO, Utrecht) ; on behalf of the German Environment Agency ; report performed by: TNO Dept. of Climate, Air and Sustainability ; edited by: section II 4.1 General Aspects of Air Quality Management - Bryan Brauns
VerfasserJanssen, Ruud ; Geers, Leon ; Kranenburg, Richard ; Coenen, Peter ; Schaap, Martijn
HerausgeberBrauns, Bryan
KörperschaftDeutschland ; Nederlandse Organisatie voor Toegepast-Natuurwetenschappelijk Onderzoek
ErschienenDessau-Roßlau : Umweltbundesamt, July 2023
Umfang1 Online-Ressource (156 Seiten, 11,5 MB) : Diagramme
Report completed in: July 2022
Literaturverzeichnis: Seite 141-151
Sprache der Zusammenfassung: Englisch, Deutsch
SerieTexte ; 2023, 107
 Das Dokument ist frei verfügbar
Particulate matter formation potential of gas-phase emissions over Germany [11.5 mb]
Particulate matter (PM) is the air pollutant that is responsible for the highest burden of disease in Germany and other European countries. Therefore measures are needed to reduce its ambient concentrations. A large proportion of PM is not emitted directly: it is formed from gaseous precursors in the atmosphere. Hence there is an urgent need to assess the contribution of gaseous emissions (NOX SO2 NH3 and organic substances) to the concentration of secondary inorganic and organic aerosol particles in the selection of measures. The report derived factors for the PM formation potential of gaseous emissions in order to be able to assess the effect of emission reductions on atmospheric PM pollution and the resulting exposure. Based on various simulations with the chemical transport model LOTOS-EUROS the effects of emission reduction scenarios on the formation of particulate matter are shown taking into account (precursor) emissions and secondary particulate matter. In addition the development of a toolkit is documented which enables the calculation of factors from simulation data and allows the potential for alternative emission reduction scenarios to be estimated without further chemical transport modelling.