Comparative Study Of Urban Air Quality Forecasting, Shenyang City In Two Modes

In this thesis, monthly meteoological information in Shenyang is first used by mesoscale data model (MM5) .Then it is put into Pielke model system and HRCM pollution prediction model system respectively to forecast the data of sulfur dioxide concentration in Shenyang. After properly adjusting the model parameter and gridding distance depending on geography and meteorological condition in Shenyang , then it compares the model forecast data with practical measure data of polluted source to find a relatively better polluted prediction model system in order to improve the quality of air pollution prediction in Shenyang. Through the comparation and analysis of practical forecast data and practical measure data , one can see that the predictive result of the two models can reflect the practical situation to some degree. So it can be used to the forecasting of air quality in Shenyang preliminarily. The simulation precision in the Pielke model will comparatively be slightly better, but some parameter projection of the simulation and pollution source still need farther improvment.