作者: Davidson M. Moreira , Marco T. Vilhena , Tiziano Tirabassi , Camila Costa , Bardo Bodmann
DOI: 10.1007/S11270-006-9182-2
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摘要: Transport and diffusion models of air pollution are based either on simple tech-nique, such as the Gaussian approach, or more complex algorithms, thenumerical solution dispersion differential equation, K-theory. TheGaussianequationisaneasyandfastmethodwhich,however,cannotproperlysim-ulate nonhomogeneous conditions. The K-theory can accept virtually anycomplex meteorological input, but generally requires numerical integration whichis computationally expensive is often affected by large advectionerrors. Conversely, fast, simple, do not require me-teorological describe diffusive transport in an Eulerian framework,making easy use nature measurements.For these reasons they still widely used environmental agencies allover world for regulatory applications. However, because their well knownintrinsic limits, reliability a model strongly depends waythe parameters determined basis turbulence structure ofthe Planetary Boundary Layer (PBL) model’s ability to reproduce exper-imental data. has completed empirically de-termined standard deviations (the so called “sigmas”) while some commonly mea-surable turbulent exchange coefficient introduce advection-diffusionequation.Analytical solutions complete advection-diffusion equation cannot begiven few specialized cases (Tirabassi, 2003), areexpansive be easily “interpreted” model. Asa consequence, major part applications practical problems currentlydone using model, great deal empirical work been donedo determinate “sigmas” appropriate PBL under various meteorologi-cal conditions extend basic formulation this its range ofapplicability (Zannetti, 1990).