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  • 标题:Development of a Short-Term Ozone Prediction Tool in Campo Grande-MS-Brazil Area Based on Meteorological Variables
  • 本地全文:下载
  • 作者:Amaury de Souza ; Flavio Aristones ; Hamilton Germano Pavão
  • 期刊名称:Open Journal of Air Pollution
  • 印刷版ISSN:2169-2653
  • 电子版ISSN:2169-2661
  • 出版年度:2014
  • 卷号:03
  • 期号:02
  • 页码:42-51
  • DOI:10.4236/ojap.2014.32005
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要: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.
  • 关键词:Regression Model; Meteorology; Ozone Prediction
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