In this paper, the Integrated Assessment of air quality is dealt with at regional scale. First the paper describes the main challenges to tackle current air pollution control, including economic aspects. Then it proposes a novel approach to manage the problem, presenting its mathematical formalization and describing its practical implementation into the Regional Integrated Assessment Tool (RIAT). The main features of the software system are described and some preliminary results on a domain in Northern Italy are illustrated. The novel features in RIAT are then compared to the state-of-the-art in integrated assessment of air quality, for example the ability to handle nonlinearities (instead of the usual linear approach) and the multi-objective framework (alternative to cost-effectiveness and scenario analysis). Then the lessons learned during the RIAT implementation are discussed, focusing on the locality, flexibility and openness of the tool. Finally the areas for further development of air quality integrated assessment are highlighted, with a focus on sensitivity analysis, structural and non technical measures, and the application of parallel computing concepts.

An integrated assessment tool to define effective air quality policies at regional scale

CARNEVALE, Claudio;FINZI, Giovanna;PISONI, Enrico;VOLTA, Marialuisa;
2012-01-01

Abstract

In this paper, the Integrated Assessment of air quality is dealt with at regional scale. First the paper describes the main challenges to tackle current air pollution control, including economic aspects. Then it proposes a novel approach to manage the problem, presenting its mathematical formalization and describing its practical implementation into the Regional Integrated Assessment Tool (RIAT). The main features of the software system are described and some preliminary results on a domain in Northern Italy are illustrated. The novel features in RIAT are then compared to the state-of-the-art in integrated assessment of air quality, for example the ability to handle nonlinearities (instead of the usual linear approach) and the multi-objective framework (alternative to cost-effectiveness and scenario analysis). Then the lessons learned during the RIAT implementation are discussed, focusing on the locality, flexibility and openness of the tool. Finally the areas for further development of air quality integrated assessment are highlighted, with a focus on sensitivity analysis, structural and non technical measures, and the application of parallel computing concepts.
2012
2012
UE
PE10_1 Atmospheric chemistry, atmospheric composition, air pollution
PE7_3 Simulation engineering and modelling
PE7_1 Control engineering
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
38
306
315
10
Integrated assessment modeling; Model reduction; Air quality modeling; Multi-objective optimization; Decision modeling
UE
http://www.sciencedirect.com/science/article/pii/S1364815212002022
10
info:eu-repo/semantics/article
262
Carnevale, Claudio; Finzi, Giovanna; Pisoni, Enrico; Volta, Marialuisa; G., Guariso; R., Gianfreda; G., Maffeis; P., Thunis; L., White; G., Triacchini...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/161124
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