Variation of surface ozone in Campo Grande, Brazil: meteorological effect analysis and prediction

• Type: Article in International Scientific Journal
• Date: 2014

Authors

J. C. M. Pires (Author) FEUP; A. Souza (Author) Other; H. G. Pavão (Author) Other; F. G. Martins (Author) FEUP

Journal

Title: Environmental Science and Pollution Research

Vol. 21 No. 17

Pages: 10550-10559

ISSN: 0944-1344

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 7 Citations

Scientific classification

CORDIS: Natural sciences > Environmental science > Global change

FOS: Engineering and technology > Environmental engineering

Associated Projects

UI0511 - PROJECTO ESTRATÉGICO - UI 511 - 2013-2014

Other information

Authenticus ID: P-009-RRW

DOI: 10.1007/s11356-014-2977-6

Abstract (EN): The effect of meteorological variables on surface ozone (O-3) concentrations was analysed based on temporal variation of linear correlation and artificial neural network (ANN) models defined by genetic algorithms (GAs). ANN models were also used to predict the daily average concentration of this air pollutant in Campo Grande, Brazil. Three methodologies were applied using GAs, two of them considering threshold models. In these models, the variables selected to define different regimes were daily average O-3 concentration, relative humidity and solar radiation. The threshold model that considers two O-3 regimes was the one that correctly describes the effect of important meteorological variables in O-3 behaviour, presenting also a good predictive performance. Solar radiation, relative humidity and rainfall were considered significant for both O-3 regimes; however, wind speed (dispersion effect) was only significant for high concentrations. According to this model, high O-3 concentrations corresponded to high solar radiation, low relative humidity and wind speed. This model showed to be a powerful tool to interpret the O-3 behaviour, being useful to define policy strategies for human health protection regarding air pollution.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10