Traffic-related Air Pollution Exposure Monitoring And Modeling Based On GIS In Shanghai

In recent years, atmospheric environmental problems in our country are becoming worse, which have seriously affected the normal life of residents. According to the study, the cause of atmospheric environmental problems in China is diversity, and traffic air pollution is one of the main factors of urban atmospheric environmental problems. At this stage, studies of air pollution are almost about pollutants themselves. For example, analysing the source of pollutants, studying the physicochemical characteristic of pollutants are the dominant work models. The present paper mainly in a more macro perspective, using monitoring experiments and GIS platform, researches the pollution exposure characteristics of the micro-environment and designs the application program, which would be used to simulate human exposures of traffic air pollution.This paper selects some typical micro-environments affected by the traffic to do monitoring experiment researches and analyse the characteristic of pollution exposure. The typical micro-environments that we select are different travel patterns(bus, metro, taxi and bike), out-and-in of bus, different driving conditions, and community beside road.According to the experimental research, the pollution concentration ratios of the bus, metro, taxi and bike are steady:TP_bus=1.30±0.79, TP_metro=0.71±0.32, TP_taxi=0.87±0.54. The pollution concentration ratio of the outside of bus and intside of bus changes with AQI. When the weather is clean, the ratio is 1.075. When the weather is heavy polluted, the ratio changes to 1.124. Among the different driving conditions, closing the windows and air circulation inside the car can effectively reduce the concentration of pollutants. The exposure concentration relationship between opening the window and closing the window is similar to out-and-in of bus. Under clean weather, light polluted weather and heavy polluted weather, the ratios of "opening the window" and "closing the window" are respectively 1.02,1.05 and 1.14. The relationship of community and road is also same as out-and-in of bus. When the air pollution is heavy, the ratio is about 0.958. When the air pollution becomes light or clean, the ratio changes to 0.915 and 0.782.This paper uses C# language and Caline modle to design an application program based on GIS. Using the pollutant characteristic of experiments and traffic air pollutant dispersion model, this program can availably simulate human exposures of traffic air pollution. It can provide technical support for the future study of population health of air pollution.