Next Article in Journal
Effect of A Superstrate on On-Head Matched Antennas for Biomedical Applications
Next Article in Special Issue
A Short-Term Air Quality Control for PM10 Levels
Previous Article in Journal
TagML—An Implementation Specific Model to Generate Tag-Based Documents
Article

Source Apportionment and Integrated Assessment Modelling for Air Quality Planning

Department of Mechanical and Industrial Engineering (DIMI), University of Brescia, via Branze 38, 25123 Brescia, Italy
*
Author to whom correspondence should be addressed.
Received: 26 May 2020 / Revised: 29 June 2020 / Accepted: 30 June 2020 / Published: 5 July 2020
(This article belongs to the Special Issue Modeling and Control of Environmental Systems: Theory and Application)
In Northern Italy a large fraction of the population is exposed to PM10 and PM2.5 concentrations that exceed the European limit values and the stricter WHO air quality guidelines. For this reason, in 2017 four Regions (Piemonte, Lombardia, Veneto, and Emilia Romagna) and the national Ministry of the Environment adopted a set of joint measures, namely the “Po Basin air quality plan”. The plan mainly tackles emission from road transport, residential heating, and agriculture. Air quality plans at regional and local scale are usually implemented defining a set of emission abatement measures, starting from experts’ knowledge. The aim of this work is to define a methodology that helps decision makers in air quality planning, combining two different approaches: Source-Apportionment techniques (SA) and Integrated Assessment Modelling (IAM). These techniques have been applied over a domain in Northern Italy to analyze the contribution of emission sources on PM10 concentration and to compute an optimal policy, obtained through a multi-objective optimization approach that minimizes both the PM10 yearly average concentration and the policy implementation costs. The results are compared to the Po Basin air quality plan impacts. The source-apportionment technique and the IAM optimization approach show intervention priorities in three main sectors: residential heating, agriculture, and road transport. The Po Basin air quality plan is effective in reducing PM10 concentrations, but not efficient, as a matter of fact the cost-effective policy at the same cost has a higher impact on air quality and on greenhouse gases emissions reduction. View Full-Text
Keywords: air quality modelling; source-apportionment; integrated assessment modelling; decision support system air quality modelling; source-apportionment; integrated assessment modelling; decision support system
Show Figures

Figure 1

MDPI and ACS Style

De Angelis, E.; Carnevale, C.; Turrini, E.; Volta, M. Source Apportionment and Integrated Assessment Modelling for Air Quality Planning. Electronics 2020, 9, 1098. https://0-doi-org.brum.beds.ac.uk/10.3390/electronics9071098

AMA Style

De Angelis E, Carnevale C, Turrini E, Volta M. Source Apportionment and Integrated Assessment Modelling for Air Quality Planning. Electronics. 2020; 9(7):1098. https://0-doi-org.brum.beds.ac.uk/10.3390/electronics9071098

Chicago/Turabian Style

De Angelis, Elena, Claudio Carnevale, Enrico Turrini, and Marialuisa Volta. 2020. "Source Apportionment and Integrated Assessment Modelling for Air Quality Planning" Electronics 9, no. 7: 1098. https://0-doi-org.brum.beds.ac.uk/10.3390/electronics9071098

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop