ASPECTS ABOUT AIR POLLUTION PREDICTION ON URBAN ENVIRONMENT

M. Cacciola, D. Pellicanò, G. Megali, A. Lay-Ekuakille, M. Versaci, F. C. Morabito

Abstract

This paper focuses on the processing of experimentally measured pollution data. Since estimating air pollutant can have significant economic impact already on a short term basis as well as relevant consequences on public health on a medium-long term scale, various interdisciplinary researches are under way on this subject.<br />In this work, we pursue two goals: the former is to derive a representative model of the multivariate relationships that should be able to reproduce local interactions; the latter is to predict, when possible, the short term evolution of pollutants in order to prevent the onset of above threshold levels of pollutants that can be dangerous to humans.<br />As a by-product of the research, we could derive some directives to be supplied to local authorities, in order to properly organize car traffic in advance starting from the estimated parameters.

Keywords

air pollution, forecasting, Neural Networks, Neuro-Fuzzy Systems, Fuzzy Ellipsoidal Systems

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DOI

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IMEKO TC

TC19 - Environmental Measurements

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