Two Reasons Why Pollution Dispersion Modeling Needs Sesquilinear Forms

D. L. Gisch (), B. E. J. Bodmann () and M. T. B. Vilhena ()
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D. L. Gisch: Federal University of Rio Grande do Sul
B. E. J. Bodmann: Federal University of Rio Grande do Sul
M. T. B. Vilhena: Federal University of Rio Grande do Sul

Chapter Chapter 22 in Integral Methods in Science and Engineering, 2015, pp 257-266 from Springer

Abstract: Abstract Atmospheric dispersion modeling is nowadays a valuable tool that permits to simulate how air pollutants affect the ambient atmosphere. Models are not only used to estimate the downwind concentration of pollutant substances but also allow to reproduce the full three-dimensional pollutant distributions over time, while measurements are typically acquired by a small set of detection locations, only (Pellegrini et al., American Journal of Environmental Engineering 3:48–55, 2013; Buske et al., Journal of Environmental Protection 3:1124–1134, 2012; Tirabassi et al., Atmosphere 2:21–35, 2011). Nowadays, governmental agencies for ambient air quality protection and management employ such models in order to determine whether existing or planned emission sources are in compliance with ambient air quality standards.

Keywords: Pollution dispersion modelling; Sesquiliner forms; Probability density functions (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-319-16727-5_22

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