[AAS03-P03] Modeling analysis of the spatiotemporal distribution characteristics of the atmospheric ultrafine particle in North China Plain and Yangtze River Delta of China in 2016
キーワード：ultrafine particle, spatiotemporal distribution, China, modeling
Epidemiological studies identify the strongest health associations with particles that have diameters <2.5 μm (PM2.5) but toxicology studies suggest that particle with diameters <0.1 μm (PM0.1) maybe even more dangerous. And PM0.1 can be used as cloud condensation nuclei (CCN) to influence cloud processes. At present, there is no conventional observation of PM0.1 in China, so its spatiotemporal distribution characteristics are not clear.
Model simulation is another effective method for the study of air pollution. Chemical transport model (CTM) is often used to reproduce the past pollution event, test the new air pollution mechanism, predict future air quality and provide high time-and-space resolution data for the epidemiological study. Until now there have been many CTMs analyzing the air pollution events in China, and the Community Multiscale Air Quality model (CMAQ) is one of the most commonly used CTM in China. In the numerical simulation of particulate matter by the CMAQ model, except for one level of nanometer of nucleation, simulation of particulate matter less than 2.5μm is often used without smaller particle size bins. Therefore, the domestic model simulation study of PM0.1 is rare.
The University of California, Davis/California Institute of Technology (UCD/CIT) regional reactive chemical transport model is a third-generation air quality model developed by the UC Davis team based on the 1980s California Institute of Technology (CIT). The composition, mass and number concentrations of the particle with the diameter between 0.01 and 10 μm are showed in 15 size bins. The first 5 size bins of the UCD/CIT model are for PM0.1, so it can simulate PM0.1. At present, the UCD/CIT model has been applied in the simulation of PM0.1 in America. In this paper, for the first time, we use the UCD/CIT model to simulate the pollution of gas and particulate matter in China, compare the model performance of UCD/CIT with CMAQ and analyze the spatiotemporal distribution characteristics of PM0.1 in China.
Model simulation is another effective method for the study of air pollution. Chemical transport model (CTM) is often used to reproduce the past pollution event, test the new air pollution mechanism, predict future air quality and provide high time-and-space resolution data for the epidemiological study. Until now there have been many CTMs analyzing the air pollution events in China, and the Community Multiscale Air Quality model (CMAQ) is one of the most commonly used CTM in China. In the numerical simulation of particulate matter by the CMAQ model, except for one level of nanometer of nucleation, simulation of particulate matter less than 2.5μm is often used without smaller particle size bins. Therefore, the domestic model simulation study of PM0.1 is rare.
The University of California, Davis/California Institute of Technology (UCD/CIT) regional reactive chemical transport model is a third-generation air quality model developed by the UC Davis team based on the 1980s California Institute of Technology (CIT). The composition, mass and number concentrations of the particle with the diameter between 0.01 and 10 μm are showed in 15 size bins. The first 5 size bins of the UCD/CIT model are for PM0.1, so it can simulate PM0.1. At present, the UCD/CIT model has been applied in the simulation of PM0.1 in America. In this paper, for the first time, we use the UCD/CIT model to simulate the pollution of gas and particulate matter in China, compare the model performance of UCD/CIT with CMAQ and analyze the spatiotemporal distribution characteristics of PM0.1 in China.