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- W195667958 abstract "Building upon a recent study by Hogrefe and Rao (2001), we presented an integrated observational-modeling approach to transform the deterministic nature of attainment demonstrations for the NAAQS for 1-hr and 8-hr ozone concentrations into the probabilistic framework. The application of extreme value statistics in estimating the probability of exceeding the NAAQS has been illustrated. The proposed probabilistic framework would enable decision makers to assess their chances of success in meeting the standard when control measures aimed at attaining the NAAQS are implemented. This paper introduced a method to account for the time-scale specificity of the effects of emission reductions when scaling the observations. Extended modeling periods rather than episodic simulations are needed for model evaluation as well as to assess the effect of emission reductions on different time scales." @default.
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- W195667958 date "2005-12-23" @default.
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- W195667958 title "Transforming Deterministic Air Quality Modeling Results into Probabilistic Form for Policy-Making" @default.
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- W195667958 doi "https://doi.org/10.1007/0-306-47813-7_2" @default.
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