Abstract
The Chemistry Transport Model (CTM) REM-Calgrid (RCG) has been applied to investigate the non-linear relationship between emission changes and modelled SIA (=SO4 + NO3 + NH4) concentrations for a high PM10 episode in spring 2009. Emissions were reduced for the model domain only and the model domain including Boundary Conditions. It was found that the effectiveness of emission reductions increases with increasing emission reduction area whereas results were least dependent on the size of emission reduction area for ammonia emission changes.
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References
Banzhaf S et al (2011) Implementation and evaluation of pH-dependent cloud chemistry and wet deposition in the chemical transport model REM-Calgrid. Atmos Environ. doi:10.1016/j.atmosenv.2011.10.069
Beekmann M et al (2007) PM measurement campaign HOVERT in the greater Berlin area: model evaluation with chemically specified particulate matter observations for a 1 year period. Atmos Chem Phys 7:55–68
Denier van der Gon H et al (2010) A high resolution European emission data base for the year 2005. UBA-Projekt PAREST. TNO-034-UT-2010e01895_RPT-ML, Utrecht
Erisman JW et al (2003) The European perspective on nitrogen emission and deposition. Environ Int 29:311–325
Fagerli H, Aas W (2008) Trends of nitrogen in air and precipitation: model results and observations at EMEP sites in Europe, 1980 – 2003. Environ Pollut 154(3):448–461
Jörß W, Kugler U, Theloke J (2010) Emissionen im PAREST Referenzszenario 2005–2020. In: Parest-Bericht Mai 2010. Umweltbundesamt, Dessau
Lövblad G et al (2004) EMEP assessment part I: European perspective. Norwegian Meteorological InstituteOslo
Mues A, Manders A, Schaap M, Kerschbaumer A, Stern R, Builtjes P, Impact of the extreme meteorological conditions during the summer 2003 in Europe on particulate matter concentrations. Atmos Environ 55:377–391
Stern R et al (2008) A model inter-comparison study focussing on episodes with elevated PM10 concentrations. Atmos Environ 42:4567–4588
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Questioner Name: Peter Builtjes
Q: How important is the seasonal pattern of NH3 emissions and do we know that well enough?
A: We do not know the seasonal pattern of NH3 emissions well enough. NH3 emissions and the corresponding seasonal pattern are still very uncertain. This is partly the reason why we performed also sensitivity runs with NH3 emission changes (−60 % to +40 %) and analysed the sensitivity of modelled concentrations and deposition fluxes to these changes (not shown here). However, this study was performed over a period of only 6 weeks during springtime. To investigate changes in the seasonal pattern a longer time period would have to be modelled and analysed.
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Banzhaf, S., Schaap, M., Kruit, R.W., Stern, R., Builtjes, P. (2014). Response of SIA Concentrations Across Germany to Emission Changes During PM10 Episodes in Spring 2009. In: Steyn, D., Builtjes, P., Timmermans, R. (eds) Air Pollution Modeling and its Application XXII. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5577-2_92
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DOI: https://doi.org/10.1007/978-94-007-5577-2_92
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