Research And Application Of Air Quality Model

In recent years,due to the rapid development of economy,the problem of a ir pollution becomes more and more serious.Faced with such a problem,it is th e main method to study air quality by using the air quality model with high effi ciency.At present,the most representative air quality model is the third generati on air quality model Models-3/CMAQ based on the concept of "one atmosphere" developed by the United States Environmental Protection Agency.The applicatio n of CMAQ is the most advanced and CMAQ is one of the most studied air q uality models in China.The input data for the CMAQ model include the WRF model of the meteorological field data and the SMOKE mode pollutant source e mission inventory data.Therefore,the WRF/SMOKE/CMAQ makes up air quality model system.Because of the use of the Python program to simulate the functi on of the SMOKE model,therefore,the content of the study is WRF/ Psmoke/C MAQ model system.If we want to apply the model system to study the air qua lity problems in China,we need to localize it.In this paper,24 districts and co unties in some city as an example,the problem of air pollution in some city is studied through the localization process of WRF/Psmoke/CMAQ model.The mod el system has a certain complexity in the environment construction,installation a nd operation,so this paper studies the development of Py Qt5 model system deve lopment platform based on Ubuntu operating system.The development platform e nables researchers to enter the model system more quickly and better.Based on this,the main contents of this paper are as follows:Build CMAQ mode,WRF mode,Psmoke mode installation and operation en vironment.Introduction to each model,the modular structure of each model,the application flow of each model.Install CMAQ model and WRF model.Psmoke model using Python program to simulate the function of SMOKE model.Making localization process of WRF/Psmoke/CMAQ model system.First of all,simulate the WRF model.Set simulation area and simulation time.Then,sor t the collected data of the 10 kinds of air pollutants,put them in Psmoke model to make pollution source emission inventory.Last,take WRF model,Psmoke m odel output data as input data into CMAQ model,simulate process of atmospher ic chemical reaction.The final output is visualized using VERDI.Build Py Qt5 development environment based on Python language.Design vi sualization framework of model.Add the model system's localization process into the interface development platform.Among,the realization of the function use s hell procedures and python procedures.At the same time,the process of the ma nual sorting of air pollutant data was designed to automated sorting.The design is a representative experiment,the results have some guiding effect.