A new approach to design source‐receptor relationships for air quality modelling.

Air quality models are often used to simulate how emission scenarios influence the concentration of secondary pollutants in the atmosphere. In some cases, it is possible to replace these air quality models with source-receptor relationships, to mimic in a more efficient way the link between emissions and concentrations. Source-receptor relationships are also used in Integrated Assessment Models, when scenario responses need to be known in very short time within an optimization process. The objective of this work is to present a novel approach to design a source-receptor relationship for air quality modeling. The main advantages of the proposed approach lie in the reduced number of simulations required for the training step as well as in the flexibility it brings in terms of source definition. A regional domain application is also presented, to test the performances of the proposed approachJRC.H.2-Air and Climat