Models for air quality management and assessment

Authors:
B. Ando;S. Baglio;S. Graziani;N. Pitrone
Affiliations:
Dipt. Elettrico, Elettronico e Sistemistico, Univ. degli Studi di Catania, Italy;-;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Year:
2000

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Air quality monitoring and prediction system using machine-to-machine platform

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV

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Abstract

Models which could be useful for estimating air pollutant concentrations as a function of the emission distribution and the attendant meteorological conditions have been investigated. The integration of this model into an emission control scheme for the control of the pollution sources may represent a very useful approach to air quality management and assessment. A novel black box approach for air pollution modeling has been proposed. The main target of this approach is the prediction, on the basis of meteorological forecasts, of the air pollution concentration as a function of the expected causes.