Joint Statistical Modelling Of Data Related To Air Pollution
Price
Free (open access)
Transaction
Volume
47
Pages
10
Published
2001
Size
722 kb
Paper DOI
10.2495/AIR010111
Copyright
WIT Press
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
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