MATHEMATICAL MODELS FOR ATMOSPHERIC AND INDUSTRIAL POLLUTANT PREDICTION

G. Andria, A. Lay Ekuakille, M. Notarnicola

Abstract

As well known air quality changes can be predicted by mathematical models, like roll back models, empirical models, and dispersion models; or by physical models, like ”wind tunnel” and analogous water models of simulation, or using "on situ" experiments with tracers. Mathematical models are more important in order to test and to predict pollutant effects in a given area. The aim of this work is to build effective models for atmospheric and industrial pollution to be predicted by using a Pair Comparison Technique (PCT). Experiments have been carrying out with laser-mode-switching equipment to make comparison with theoretical models.

Keywords

air monitoring, pollutant measurements, prediction models, air quality measurement, Pair Comparison Technique

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IMEKO-WC-2000-EVL-P532.pdf

DOI

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