Abstract：A model for evaluating the effectiveness of air pollution control was presented based on wavelet analysis theory and backpropagation neural network. The influence of source emissions and meteorological factors on ambient air pollutant concentration in Tianjin was analyzed. Fluctuations of 24h average SO2 concentration were mainly attributed to seasonal changes in source emissions, and weather-related short-term variations could not be neglected. Whereas variations of 24h average PM10 concentration were mainly due to short-term changes in source emissions and weather conditions. Meteorological conditions had adverse effects on atmospheric diffusion in 2002~2003, which led to an increase of 3μg/m3 in long-term SO2 concentration. While beneficial meteorological conditions in the year of 2004 accounted for a reduction of 5μg/m3. Meteorological conditions had similar effects on long-term PM10 concentrations, as the concentration of PM10 had a more significant increase of about 10μg/m3 in 2002~2003.
张裕芬, 朱坦, 冯银厂, 韩素芹, 李响, 刘彩霞. 大气污染控制有效性的评估模型及应用[J]. 中国环境科学, 2009, 29(3): 225-230.
ZHANG Yu-Fen, ZHU Tan, FENG Yin-Chang, HAN Su-Qin, LI Xiang, LIU Cai-Xia. Evaluation model for the effectiveness of air pollution control and its application.. CHINA ENVIRONMENTAL SCIENCECE, 2009, 29(3): 225-230.
