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。
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 PM2.5 is 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 PM2.5 in 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 PM2.5 reduction in China.
出处
《大气科学学报》
CSCD
北大核心
2015年第2期279-284,共6页
Transactions of Atmospheric Sciences
基金
国家自然科学基金资助项目(41175018
41475113)
关键词
细颗粒物PM2.5
源清单
源解析
数学模型
fine particulate matter PM2.5
pollutant inventory
source apportionment
numerical model
作者简介
张玉梅,女,博士研究生,研究方向为大气污染防治,fxz728@163.com.
