A predictive control approach for air quality management. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Carnevale, C.; Angelis, E. De; Finzi, G.; Mansini, R.; Tagliani, F.L.; Turrini, E.; Volta, M.
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 16599
• Page End: 16604
• Publication Date: 2020
• Subjects: Modeling -- identification of environmental systems -- Environmental decision support systems -- Air quality planning -- control -- Multi source environmental data integration -- Natural -- environmental systems; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.787
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The control of critical pollutant events has become one of the most relevant problems that the Local Authorities need to manage, in order to limit population exposure to high pollutant levels. The problem of the selection of suitable short terms plans allowing to maintain the pollutant concentrations under a certain threshold is particularly difficult due to the strong nonlinearity and due to the high number of parameters (sometimes not manageable, as in the case of meteorological conditions) that can affect the concentrations at a certain time. In order to help Local Authorities in taking these decision, suitable Integrated assessment Models (IAMs) have to be formalized and implemented. In this work, the formalization and implementation of an IAM for the selecting of short-term actions is presented. The system is based on a forecasting phase and on a receding horizon approach for the selection of suitable emission control actions. The system has been applied with encouraging results to the management of PM10 levels over a domain including the metropolitan area of the city of Brescia in Lombardy.