Modeling and simulation of haze process based on Gaussian model

Due to it is difficult to predict the diffusion of city haze, based on the Gaussian plume dispersion model, at first, the paper researches the applicable conditions, and then proposed several methods to amend the model, such as surface roughness, atmospheric stability, secondary pollution and condition of breeze. On this basis, we established the Multi-source haze diffusion model, which is constituted by industrial point sources, traffic line sources, living area sources. Then, we analyze the impact of various factors to the spread of haze. In order to study this problem more intuitively, we designed and realized PM2.5 diffusion simulation software based on Matlab GUI and QGIS. The simulation results show that, this model can reasonably reflect location characteristics, seasonal characteristics, weather characteristics of haze, the proportion of different sources in different regions, and contribution rate of secondary pollution. The model can also get overall condition of haze in Beijing, one-third of a year is in haze. In conclusion, this model is reasonable and effective, can provide guidance for the prediction and prevention of haze.