Modelling the Impact of Energy Transitions on Air Quality and Source Receptor Relations

摘要: Air pollution is associated with adverse effects on human health through exposure to PM and ozone. To design effective air mitigation strategies it essential quantify the effect of pollutant emission reductions their concentrations as well ecosystem impacts. Within integrated assessment modeling source-receptor relationships (SRRs) are used that based chemistry transport modelling. Currently, these SRRs made using invariant time profiles. The LOTOS-EUROS model equipped a source attribution module was test this assumptions for renewable energy scenarios. Renewable availability thereby fossil fuel back up strongly dependent meteorological conditions. We have spatially temporally explicit REMix derive profiles backup power generation. These were in investigate timing SRRs. It found effectiveness reduction sector significantly lower when accounting shift way emissions divided over year correlation synoptic situations. receptor also changed significantly. This both primary secondary pollutants. Our results indicate deserves attention assessing impacts system changes quality.