© 2009 – CRC Press
354 pages | 10 Color Illus. | 79 B/W Illus.
Since its discovery in early 1900, turbulence has been an interesting and complex area of study. Written by international experts, Air Pollution and Turbulence: Modeling and Applications presents advanced techniques for modeling turbulence, with a special focus on air pollution applications, including pollutant dispersion and inverse problems. The book’s foreword was written by specialists in the field, including the Professor Sergej Zilitinkevich. Offering innovative atmospheric mathematical modeling methods, which can also be applied to other disciplines, the book includes:
The book provides a solid theoretical understanding of turbulence and includes cases studies that illustrate subjects related to environmental sciences and environmental modeling. It reflects and summarizes recent developments in key areas of modeling atmospheric turbulence and air pollution. It pulls together information on techniques and methods used on turbulence, air pollution, and applications. While these topics are often covered separately, this book’s combined coverage of all three areas sets it apart.
Deposition, Transformation, and Remobilization of Soot and Diesel Particulates on Building Surfaces, P. Brimblecombe and C.M. Grossi
Atmospheric Boundary Layer: Concepts and Measurements, G. Fisch
Turbulence and Dispersion of Contaminants in the Planetary Boundary Layer, G.A. Degrazia, A. Gledson Oliveira Goulart, and D.R. Roberti
Parameterization of Convective Boundary Layer Turbulence and Clouds in Atmospheric Models, P.M.M. Soares, J. Teixeira, and P.M.A. Miranda
Mathematical Air Pollution Models: Eulerian Models, T. Tirabassi
Analytical Models for the Dispersion of Pollutants in Low Wind Conditions, P. Kumar and M. Sharan
On the GILTT Formulation for Pollutant Dispersion Simulation in the Atmospheric Boundary Layer, D.M. Moreira, M. Túllio M. B. de Vilhena, and D. Buske
An Outline of Lagrangian Stochastic Dispersion Models, D. Anfossi and S.T. Castelli
Atmospheric Dispersion with a Large-Eddy Simulation: Eulerian and Lagrangian Perspectives, U. Rizza, G. Gioia, G. Lacorata, C. Mangia, and G.P. Marra
Photochemical Air Pollution Modeling: Toward Better Air Quality Management, C. Borrego, A.I. Miranda, and J. Ferreira
Inversion of Atmospheric CO2 Concentrations, I.G. Enting