International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Regression modeling of Gaseous Air Pollutants and Meteorological Parameters in a Steel City, Rourkela, India

Author Affiliations

  • 1 Department of Civil Engineering, National Institue of Technology, Roukela 769008, Odisha, INDIA

Res. J. Recent Sci., Volume 2, Issue (ISC-2012), Pages 285-289, February,2 (2013)


Traditional algorithms such as diffusion model employed for estimating the distribution of pollutants in ambient air are complicated involving the solution of complex differential equations. Employing multivariate statistical models which attempt to find the underlying relationships between a set of inputs and outputs may give an easy way to predict these gaseous pollutants. A multiple linear regression model has been developed for predicting sulphur dioxide, oxides of nitrogen, ammonia and carbon monoxide in a steel city using the meteorological parameters like temperature, relative humidity, wind speed and wind direction. Results have shown a good correlation between predictors and predicted values (R2≈0.7). A unifort­ effect of the meteorological parameters in distributing these gaseous pollutants has been observed.


  1. Gurjar B.R., Butler T.M., Lawrence M.G. and Lelieveld J., Evaluation of Emissions and Air Quality in Megacities, Atmos. Environ., (42), 1593 (2008)
  2. Ozden O., Dogeroglu T. and Kara S., Assessment of Ambient Air Quality in Eskis¸ ehir, Turkey, Environ. Int., (34), 678 (2008)
  3. Mayer H., Air Pollution in Cities, Atmos. Environ., 33, 4029 (1999)
  4. Venegas L.E. and Mazzeo N.A., Modelling of Urban Background Pollution in Buenos Aires City Argentina, Environ. Modell. Softw., (21), 577 (2006)
  5. Cuhadaroglu B., Demirci E., Influence of Some Meteorological Factors on Air Pollution in Trabzon City, Energy Build, (25), 79 (1996)
  6. Banerjee T., Singh S.B. and Srivastava R.K., Development and Performance Evaluation of Statistical Models Correlating Air Pollutants and Meteorological Variables at Pantnagar, India, Atmos. Res., 99, 505 (2011)
  7. Collet R., Oduyemi K., Air Quality Modelling, A Technical Review of Mathematical Approaches, Meteorological Applications, 4, (1997)
  8. Shi J., Harrison R., Regression Modelling of Hourly NOx and NO2 Concentrations in Urban Air in London, Atmospheric Environment, (24), 31 (1997)
  9. Ziomass I., Melas D., Zerefos C. and Bais A., Forecasting Peak Pollutant Levels from Meteorological Variable, Atmospheric Environment, (24), 29 (1995)
  10. APHA, Nitrogen, Standard Methods for the Examination of Water and Wastewater, 18th Edition, American Public Health Association, Method 417, B, 379-381 (1985)
  11. Sidebottom H.W., Badcock C.C., Jackson G.E., Calvert J.G., Reinhardt G.W. and Damon E.K., Photooxidation of Sulfur Dioxide, Environ. Sci. Technol., 6 (1), 72 (1972)