耦合PMF、CMB模型对大气颗粒物源解析的研究  

Research on Source Apportionmen of Atmospheric Particulates by Coupling the Model of CMB and PMF

作　　者：刘莉[1] 邹长武[1] 

机构地区：[1]成都信息工程学院资源环境学院,四川成都610225

出　　处：《成都信息工程学院学报》2013年第5期557-562,共6页Journal of Chengdu University of Information Technology

基　　金：高原大气与环境四川省重点实验室开放课题基金资助项目：（PAEKL-2013-Y4）

摘　　要：化学质量平衡法是目前应用最为广泛的大气颗粒物源解析受体模型之一。针对利用化学质量平衡法进行源解析时,需建立大量的污染源成分谱,耗财耗力,同时选择不同的污染源及特征元素拟合时易导致源解析结果不确定性的问题,结合正矩阵因子分解法模型,提出了化学质量平衡法与正矩阵因子分解法的耦合模型,利用正矩阵因子分解法模型解析出各污染源及其特征元素,确定化学质量平衡法模型拟合参数及污染源清单。对比各污染源的理论贡献量与模拟贡献量,结果表明,耦合模型拟合结果与理论值差异不大,验证了耦合模型的可行性。耦合模型缩减了化学质量平衡法模型建立污染源成分谱的工作量,提高了化学质量平衡法模型进行源解析工作的高效性、准确性。Chemical mass balance （CMB） model is one of the most frequently applied receptor models widely used in source apportionment of atmospheric particulates. When using CMB for source apportionment, it needs to establish a large number of pollution sources composition spectrums, which is labor-intensively and time consuming. When ap- plying different parameters of different pollution sources and features fitting, it is uncertainty results prone. Put for- ward that CMB coupled with positive matrix factorization （PMF）, based on results of PMF model, which are sources and species in order to ensure that the parameters of CMB and the source lists. Compared the practical value with the calculated value, the results are consistent, and it proved that CMB coupled with PMF is feasible. The new model can build the pollution source information with less work, and improve the efficiency and accuracy of source appor- tionment work.

关 键 词：大气颗粒物 正矩阵因子分解法 化学质量平衡法 源解析 环境科学 

分 类 号：X513[环境科学与工程—环境工程]