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http://dx.doi.org/10.1016/j.ecoinf.2009.01.002

has been cited by the following article:

• TITLE: Development of a Short-Term Ozone Prediction Tool in Campo Grande-MS-Brazil Area Based on Meteorological Variables

  AUTHORS: Amaury de Souza, Flavio Aristones, Hamilton Germano Pavão, Widinei Alves Fernandes

  KEYWORDS: Regression Model, Meteorology, Ozone Prediction

  JOURNAL NAME: Open Journal of Air Pollution, Vol.3 No.2, June 23, 2014

  ABSTRACT: The objective of this study was to develop a model to predict the concentration of ozone. The measurements of ozone were conducted at the Federal University of Mato Grosso do Sul. The predictor variables related to climate were supplied by Embrapa Gada de Corte. Analyses of the data show a strong correlation between ozone and wind speed (0.75), humidity (?0.64) and temperature (0.41), as the factors that affect levels of concentration ozone. The observed and predicted values of daily ozone had a correlation coefficient (R) of 0.69.