A Photochemical Screening Tool Based on a Scale Analysis of Ozone Photochemistry
Controlling ground level ozone, a relatively recent problem but now pervasive in many urban centers, requires linking knowledge about its formation (science) to choices society makes about present and future economic development and social behaviour (policy). But the future is unknown and can follow many courses, and so future air quality is inherently unpredictable and modeling it an inexact exercise. Uncertainties about the future and the complexity of ozone formation also present a tension for modelers: on the one hand, a model is needed that is sensitive to the intricacies of meteorology, photochemistry and emissions while on the other hand a model is needed that can be used to investigate many possible futures. This tension leads to a spectrum of modeling techniques: at one end are comprehensive Eulerian grid models, such as Models-3/CMAQ (EPA, 2004), which represent the most complete way of describing ozone formation, but due to their complexity and costs, preclude examining large numbers of possible futures; and at the other end, less exact models having quick execution times, like the SOMS model (Venkatram, 1994), containing many approximations but nonetheless include the main processes in ozone formation.
KeywordsOzone Concentration Emission Inventory Ozone Formation Ozone Photochemistry Maximum Ozone Concentration
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