基于轨迹计算的污染物归趋概率模型  

A probabilistic model for transport of air pollutants based on forward trajectory calculations

作　　者：王戎[1] 郎畅[1] 曹军[1] 陶澍[1] 张干[2] 

机构地区：[1]北京大学城市与环境学院,地表过程分析与模拟教育部重点实验室,北京100871 [2]中科院广州地球化学研究所,有机地球化学国家重点实验室,广州510640

出　　处：《环境科学学报》2009年第8期1598-1603,共6页Acta Scientiae Circumstantiae

基　　金：中科院广州地化所有机地球化学国家重点实验室开放基金(No.2007CB407303);国家自然科学基金(No.40771179)~~

摘　　要：为建立一种能够描述源区排放的污染物对受体区域影响的空间分布格局和研究源汇定量关系的手段,在轨迹计算的基础上,利用概率方法和多介质模型方法,建立了一种基于正向轨迹计算的污染物归趋概率模型(潜在汇影响函数),并在模型中嵌入了诸如降解、干沉降和湿沉降等主要去除过程.作为实例,运用这一模型研究了广东省排放的芘在大气中的空间分布及长距离输送.结果表明,该模型能够实现既定目标,在获得源区排放资料的基础上,还可以获得由此形成的浓度空间分布格局以及相关的输送通量.A Potential Receptor Influence Function （PRIF） was developed as a probabilistic model for air pollutant transport based on calculation of forward air mass trajectories. Major decay processes including phase distribution, degradation, dry deposition and wet precipitation were incorporated into the model which can be used to project the spatial distribution pattein or the influence of emission from a given source region on a receptor region. With emission inventory available, concentration field and transport fluxes can be quantified, which is useful for investigating source-receptor relationships. The model was applied in Guangdong, China for addressing the spatial distribution and long-range transport of pyrene.

关 键 词：大气模型 轨迹计算 概率模型 源汇分析 

分 类 号：X51[环境科学与工程—环境工程]