A new approach to design source–receptor relationships for air quality modelling. (December 2015)

• Record Type: Journal Article
• Authors: Clappier, A.; Pisoni, E.; Thunis, P.
• Is Part Of: Environmental modelling & software. Volume 74(2015:Dec.)
• Page Start: 66
• Page End: 74
• Publication Date: 2015-12
• Subjects: Air quality modeling -- Integrated assessment modeling -- Surrogate models -- Source–receptor relationships; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2015.09.007
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Air quality models are often used to simulate how emission scenarios influence the concentration of primary as well as secondary pollutants in the atmosphere. In some cases, it is necessary to replace these air quality models with source–receptor relationships, to mimic in a faster way the link between emissions and concentrations. Source–receptor relationships are therefore also used in Integrated Assessment Models, when scenario responses need to be known in very short time. The objective of this work is to present a novel approach to design a source–receptor relationship for air quality modeling. Overall the proposed approach is shown to significantly reduce the number of simulations required for the training step and to bring flexibility in terms of emission source definition. A regional domain application is also presented, to test the performances of the proposed approach. Highlights: A novel approach to design source–receptor relationships for air quality is proposed. It needs a small number of simulations to be implemented. It also brings flexibility in terms of application in Integrated Assessment Models. A case study on a regional domain is presented.