232
Air Pollution and Turbulence: Modeling and Applications
Chiba O. 1978. Stability dependence of the vertical wind velocity skewness in the atmospheric
surface layer. J. Meteorol. Soc. Jpn. 56:140–142.
Chosson F., R. Paoli, and B. Cuenot. 2008. Ship plume dispersion rates in convective boundary
layers for chemistry models. Atmos. Chem. Phys. 8:4841–4853.
Csanady G.T. 1973. Turbulent Diffusion in the Environment. Reidel, Dordrecht, the
Netherlands.
De Baas H.F., H. Van Dop, and F.T.M. Nieuwstadt. 1986. An application of the Langevin equation for inhomogeneous conditions to dispersion in a convective boundary layer. Quart.
J. Roy. Meteor. Soc. 112:165–180.
Degrazia G.A., D. Anfossi, J.C. Carvalho, C. Mangia, T. Tirabassi, and H.F. Campos Velho.
2000. Turbulence parameterization for PBL dispersion models in all stability conditions.
Atmos. Environ. 34:3575–3583.
Durst F., J. Jovanovic, and T.G. Johansson. 1992. On the statistical properties of truncated GramCharlier series expansions in turbulent wall-bounded fl ows. Phys. Fluids. A 4:118–126.
Ferrero E., D. Anfossi, G. Brusisca, and G. Tinarelli. 1995. Lagrangian particle model
LAMBDA: evaluation against tracer data. Int. J. Environ. Pollut. 5:360–374.
Ferrero E. and D. Anfossi. 1998a. Sensitivity analysis of Lagrangian Stochastic models for
CBL with different PDF’s and turbulence parameterizations. Air Pollution Modelling
and its Applications XII, S.E. Gryning and N. Chaumerliac, eds., Plenum Press, New
York, 22:673–680.
Ferrero E. and D. Anfossi. 1998b. Comparison of PDFs, closures schemes and turbulence
parameterizations in Lagrangian Stochastic Models. Int. J. Environ. Poll. 9:384–410.
Ferrero E., D. Anfossi, and G. Tinarelli. 2001 Simulations of atmospheric dispersion in an
urban stable boundary layer. Int. J. Environ. Poll. 16:1–6.
Ferrero E., S. Trini Castelli, and D. Anfossi. 2003. Turbulence fi elds for atmospheric dispersion
models in horizontally non-homogeneous conditions. Atmos. Environ. 37:2305–2315.
Ferrero E. 2005. Lagrangian Particle Models (Theory). in Chapter 11 of AIR QUALITY
MODELING – Theories, Methodologies, Computational Techniques, and Available
Databases and Software. Vol. II – Fundamentals, P. Zannetti, Ed., The EnviroComp
Institute and the Air & Waste Management Association.
Fiedler F., 1989. EUREKA Environmental ProjectFEUROTRACT, Proposal of a Subproject,
Transport of Air Pollutants over Complex Terrain (TRACT), Karlsruhe.
Frenkiel F.N. 1953. Turbulent diffusion: mean concentration distribution in a fl ow fi eld of
homogeneous turbulence. Adv. Appl. Mech. 3:61107.
Frenkiel F.N. and P.S. Klebanoff. 1967. Higher order correlations in a turbulent fi eld. Phys.
Fluids. 10:507–520.
Gardiner C.W. 1990. Handbook of Stochastic Methods. Springer Verlag, Berlin, Germany.
Gifford F.A. 1960. Peak to average concentration ratios according to a fl uctuating plume dispersion model. Int. J. Air Poll. 3:253–260.
Gingold R.A. and J.J. Monaghan. 1982. Kernel estimates as a basis for general particle methods in hydrodynamics. J. Comput. Phys., 46:429–453.
Glendening J.W., J.A. Businger, and R.J. Farber. 1984. Improving plume rise prediction accuracy for stable atmospheres with complex vertical structure. J. Air Poll. Control Ass.
34:1128–1133.
Goulart A., G. Degrazia, O. Acevedo, and D. Anfossi. 2007. Theoretical considerations of
meandering wind in simplifi ed conditions. Bound. Lay. Meteorol. 125:279–287.
Hanna S.R. 1982. Applications in air pollution modeling. In Atmospheric Turbulence and Air
Pollution Modeling, F.T.M. Nieuwstadt and H. Van Dop, eds., Reidel, Dordrecht, the
Netherlands, Ch. 7.
Hansen P.C. 1992. Analysis of discrete ill-posed problems by means of the L-curve. SIAM
Rev. 34:561–580.
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