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After the promotion of urbanization in the past decades, air pollution has become one of the bottlenecks of China's urban development. Kinds of real-time air pollution indicators are recorded by using environmental detection system in China's urban area that produces precious streaming data. The present paper constructs window DEA model to compute the dynamic air quality index after applying hierarchy analysis to resolve the heterogeneity of time varying data. In the section of empirical study, we select the daily data of CO, NO, SO2, PM 2