Author(s)

Xu Hun, Z.Z. Li, Q.L. Huang, M. Coutinho & C. Borrego

Abstract

Urban air quality simulation by multi-puff approach and optimum interpolation techniques at Shenyang (P.R. China) Xu Han*, Z.Z. Li*, Q.L. Huang*, M. Coutinho^ & C. Borrego^ * State Engineering Technology Research Center of Combustion of Power Plant, Shenyang, P.R.China, 110034 * Department of Environment and Planning, University ofAveiro, 3810- 193 Aveiro, Portugal Abstract Based in the classical Gaussian model, a multi-puff approach was applied to simulate Shenyang's air quality and evaluate the results by comparison with the air quality measured data. Data assimilation was also used to improve modeling results, based on the data from air quality monitoring stations in Shenyang. The use of modeling results and measured data were obtained by optimal interpolation, which can provide a linear estimator minimizing the covariance error of analytic results based on correlation functions. It showed that the multi- puff approach could be used to simulate the transport and dispersion of no

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