%0 Journal Article
%T A probabilistic model for transport of air pollutants based on forward trajectory calculations<br>基于轨迹计算的污染物归趋概率模型
%A WANG Rong
%A LANG Chang
%A CAO Jun
%A TAO Shu
%A ZHANG GanCollege of Urban
%A Environmental Sciences
%A Laboratory for Earth Surface Processes
%A Peking University
%A Beijing State Key Laboratory of Organic Geochemistry
%A Guangzhou Institute of Geochemistry
%A CAS
%A Guangzhou
%A <br>王戎
%A 郎畅
%A 曹军
%A 陶澍
%A 张干
%J 环境科学学报
%D 2009
%I 
%X 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 pattern or the influence of emission from a given source region on a receptor region. With emission inventory available,concentration field and transport fl...
%K atmospheric modeling
%K trajectory calculation
%K probabilistic modeling
%K source-receptor analysis<br>大气模型
%K 轨迹计算
%K 概率模型
%K 源汇分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=03A55E61A8750ACAC6AF81EF9E2AC838&aid=837DD159BA1B7DEB56C91D1D14519594&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=1AC2995B88F4B692&eid=2E97FDBA239991ED&journal_id=0253-2468&journal_name=环境科学学报&referenced_num=0&reference_num=0