WIT Press


Joint Statistical Modelling Of Data Related To Air Pollution

Price

Free (open access)

Paper DOI

10.2495/AIR010111

Volume

47

Pages

10

Published

2001

Size

722 kb

Author(s)

J. Mateu, C. Alvarez, T. Sanfeliu & M.M. Jordan

Abstract

Joint statistical modelling of data related to air pollution J. Mateul, C. Alvarez^, T. Sanfeliu2 & M.M. Jordan^ * Department of Mathematics, Universitat Jaume I, Campus Riu Sec, E- 12071 Castellon, Spain 2 Department of Experimental Sciences, Universitat Jaume I, Campus Riu Sec, E-12071 Castelldn, Spain 3 Department of Environmental Sciences, Universidad Miguel Hernandez, Elche, Alicante, Spain Abstract An understanding of the ozone behaviour near surface layers is essential for a study of pollution surfaces. Controlling possible sources of air pollution has become a relevant goal in our increasingly degraded environment. Moreover, concentrations of atmospheric trace gases involved in forming ozone and nitrogen oxides change rapidly with several meteorological variables such as wind speed and direction, temperature, humidity and solar radiation. Thus, good statistical models which can handle with the intrinsic variability of climatological and/or meteorological data are clearl

Keywords