A non-linear optimization programming model for air quality planning including co-benefits for GHG emissions

• Published in: The Science of the total environment Vol. 621; pp. 980 - 989
• Main Authors: Turrini, Enrico, Carnevale, Claudio, Finzi, Giovanna, Volta, Marialuisa
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.04.2018
• Subjects: Air quality; Control strategy; Decision support systems; Environmental modelling; Integrated assessment modelling; Optimization; Particulate matter; Decision support systems; Integrated assessment modelling; Environmental modelling; Particulate matter; Air quality; Control strategy; Optimization
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2017.10.129

This paper introduces the MAQ (Multi-dimensional Air Quality) model aimed at defining cost-effective air quality plans at different scales (urban to national) and assessing the co-benefits for GHG emissions. The model implements and solves a non-linear multi-objective, multi-pollutant decision problem where the decision variables are the application levels of emission abatement measures allowing the reduction of energy consumption, end-of pipe technologies and fuel switch options. The objectives of the decision problem are the minimization of tropospheric secondary pollution exposure and of internal costs. The model assesses CO2 equivalent emissions in order to support decision makers in the selection of win-win policies. The methodology is tested on Lombardy region, a heavily polluted area in northern Italy. [Display omitted] •A new Integrated assessment methodology based on a multi-objective approach to support air quality planning;•Methodology able to be applied at different scale, from national to urban sites;•Methodology assessing the effectiveness of end-of pipe, energy and fuel switch measures, including behavioral changes;•Methodology assessing GHG emission variation due to changes in fuel consumption arising from energy measures application.