The Research Of Upper Air Meteorologica Data Application In Air Quality Model

Worsening air pollution in China, study of atmospheric pollutant dispersion, air quality models currently used mainly for numerical simulation method, "Guidelines for Environmental Impact Assessment Atmospheric Environment" (HJ2.2-2008) recommended the three international mainstream air quality models as the country's existing laws and regulations, to study the diffusion of atmospheric pollutants, we found that access to upper air meteorological data problem is that the EIA application of workers encountered in the air quality model. Therefore, it's of practical significance to research on upper air meteorological data at air quality model.Based on the guidelines for Atmospheric Environment by the atmospheric features three modes of presentation, depth comparative study for the model ;the basis meteorological data of Tianjin Binhai New Area, based on theoretical analysis and design through a comparative study of two programs that used air quality model numerical simulation of MM5 simulated data as upper air meteorological data and weather data are not used upper air meteorological data, the study of the hour average concentration, the daily average concentration and annual average concentration difference between the two programs;then for the parameters of AERMOD air quality model in the sensitivity analysis, according to the sensitivity coefficient of each parameter, analysis the response relationship between parameters and output concentration.The results show that: in calculating the daily average concentration and annual average concentrations, smaller errors of two program that simulated using MM5 meteorological data as upper air meteorological data and weather data are not used upper air meteorological data in calculating the daily average and annual average concentration of the Consistency is very good; while in the calculation of hours average concentration its output errors. From the seasonal distribution, January and July on behalf of the season error greater and concentration of poor distribution uniformity. AERMOD model through sensitivity analysis and discrete points of the numerical simulation results, within 500m downwind from the smaller of two program errors, mainly impact by the standard deviation of vertical concentration indicator, vertical entry and attenuation ; between 500m to 1km the error large and was largely affected by the vertical entry, attenuation term and the standard deviation of lateral concentration diffusion coefficient; more than 1km the error large and mainly by the entry of the vertical entry and attenuation. Reasonable choice of upper air meteorological data by the source and AERMOD model parameters, can make the the concentration of output results more credible.