【摘要】 针对受体模型对大气PM2.5中二次无机、有机气溶胶不能给出有效源贡献的问题,建立了一种基于污染源清单的化学质量平衡(Inventory-Chemical Mass Balance,I-CMB)颗粒物源解析受体模型,代入北京市近年的污染物排放数据进行了解析应用。结果表明,燃煤是北京大气PM2.5的最大来源(占比约28.06%),其余依次为机动车(19.73%)、扬尘(17.88%)、工业(16.50%)、餐饮(3.43%)、植物(3.40%)。相比于传统的化学质量平衡法(Chemical Mass Balance,CMB),I-CMB的源解析过程对源成分谱的要求较低、抗干扰性更强,计算结果均衡、详尽,比较适合我国当前大气PM2.5控制的需求。更多还原

【Abstract】 Aiming at the disability of receptor model in the source apportionment for secondary organic and inorganic aerosols in PM2. 5,a pollutant Inventory-based Chemical Mass Balance( I-CMB) model for source apportionment of PM2. 5is established,and the recent actual pollution data in Beijing is put into the model. Results show that the coal is the largest source( accounting for about 28. 06%) of PM2. 5in Beijing,followed by the vehicle( 19. 73%),dust( 17. 88%),industry( 16. 50%),food( 3. 43%),and plants( 3. 40%). Compared to conventional CMB( Chemical Mass Balance),application of I-CMB in source apportionment requires less accurate source profile and is more resistant to interference,and the result is more balanced and detailed. The I-CMB model meets the demands of PM2. 5reduction in China.更多还原