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Hazardous chemical gases will spread rapidly after leakage. For emergency response to that, people need to obtain the information of wind and pollutant in time. However, it takes a lot of time to calculate the flow in large-scale urban areas by numerical simulation. Therefore, reduced-order model(ROM) is developed to improve the efficiency. In this paper, we propose a model based on proper orthogonal decomposition(POD) and radial basis function(RBF) interpolation. We validate the model by calculating the wind field and the pollutant propagation process in a 144 square kilometer area of Beijing. The results show that ROM can reduce CPU times by more than 99% at the cost of only 0.1% information loss, comparing with the traditional approach of computational fluid dynamics(CFD).