DocumentCode :
2941012
Title :
A predictive model for urban air pollution evaluation
Author :
Andò, Bruno ; Baglio, Salvatore ; Graziani, Salvatore ; Pecora, Emilio ; Pitrone, Nicola
Author_Institution :
DEES, Catania Univ., Italy
Volume :
2
fYear :
1997
fDate :
19-21 May 1997
Firstpage :
1056
Abstract :
Several models which could be useful to estimate pollutant concentrations as a function of the emission distribution and the attendant meteorological conditions, have been investigated. Up to now a lot of them have been based upon physical principles. In this work an alternative block box approach, in air pollution modelling have been proposed. The main target of this approach is the prediction, on the basis of meteorological prevision, the air pollution concentration as a function of the expected number of vehicles. The integration of this model in an emission control scheme, for the control of the motor vehicle flux, may represent a very useful approach to the urban air quality problem
Keywords :
air pollution control; carbon compounds; least mean squares methods; meteorology; multilayer perceptrons; neural nets; prediction theory; road traffic; traffic control; CO; air pollution modelling; dynamic model; emission control; emission distribution; meteorological conditions; motor vehicle flux; pollutant concentration; pollution control; predictive model; traffic control; urban air pollution; urban air quality; Air pollution; Carbon dioxide; Environmentally friendly manufacturing techniques; Humans; Industrial pollution; Meteorology; Predictive models; Process control; Urban areas; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE
Conference_Location :
Ottawa, Ont.
ISSN :
1091-5281
Print_ISBN :
0-7803-3747-6
Type :
conf
DOI :
10.1109/IMTC.1997.612362
Filename :
612362
Link To Document :
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