| PM10 pollution has been one of the most important atmospheric environment problems in China and the increasingly apparent regional characteristics make more difficulty on solving this problem. This study,taking regional community air quality model as the tool and taking the south city of Hebei as the objective, was to analyze regional variation characteristics of PM10 concentration, to provide forecast and control measures for PM10.MM5-Models-3/CMAQ was applied to simulate the distribution of PM in China and Hebei, the article, with the January and July in 2005 for example. From the comparison between simulation result and monitoring data can be seen, this model can simulate the spatial distribution patterns of pollutants preferably, simulation results and the monitoring results are identical, especially the BeiJing-TianJin-HeBei region, Yangtze river delta and pearl river delta. In order to make up for the deficiency of monitoring data, the study applied satellite remote sensing data to the further verification of the simulation result, which include NO2 column concentration and aerosols optical thickness (AOD). The results showed that experimental results of the CMAQ calculation results were highly correlated to those of the satellite remote sensing data, this simulation system can be a very good way to simulate the characteristics of the atmospheric pollutants in China. According to the second layer simulation results of January and July, PM10 pollution of Hebei was from the south city. PM10 concentration of heating obvious more than the unheating concentration, by the meteorological and terrain conditions of influence, the pollution exist obvious different in time and space. |
