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Chapter 11
            Air Dispersion












            For the air pollutants penetrating though the post-combustion air pollution control
            devices, dispersion is the last step to minimize the environmental impact. An air
            dispersion models can be employed for predicting concentrations downwind of the
            source for environmental impact assessments, risk analysis, emergency planning,
            and development and implementation of air emission standards.
              A great amount of models have been developed and they can be categorized into
            four generic classes:

            • Gaussian models
            • Numerical models
            • Statistical models
            • Physical models
              Many air dispersion models are available at the US EPA websites for free use. In
            general, the more complex models are more reliable. In this chapter, we only
            introduce three kinds of models with different levels of complexity. Advanced
            models for special applications can be found in the book by de Visscher [21].
              This chapter starts with an introduction to some basic concepts that are critical to
            the understanding of different air dispersion models. Then basic models will be
            introduced. All of the models introduced herein are based on conservation of mass
            (or material balances) in a control volume. Most models can be used for predicting
            the concentrations of several different pollutants, but they must be applied sepa-
            rately to one pollutant at a time. At the end, comments on advanced models will be
            given, although they are not discussed in a great depth.




            11.1 Box Model

            A box model is the simplest one for air dispersion in a ground-level community. It
            is useful in such well-defined environments as tunnels, streets with high rise
            buildings, community in a valley, and indoor environments. It is assumed that air in



            © Springer Science+Business Media Singapore 2014                315
            Z. Tan, Air Pollution and Greenhouse Gases, Green Energy and Technology,
            DOI 10.1007/978-981-287-212-8_11
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