多点源空气污染高斯扩散模式并行方法研究  

Design and Implement a Parallel Algorithm of Gauss Plume Model for Air Pollution Dispersion

作　　者：徐丙立[1,2] 林珲[2] 胡亚[2,3] 荆涛[1] 朱刚[1] 李媛州[1] 

机构地区：[1]装甲兵工程学院信息工程系,北京100072 [2]香港中文大学太空与地球信息科学研究所 [3]西南交通大学土木工程学院测量工程系,四川成都610031

出　　处：《北京理工大学学报》2014年第11期1145-1149,共5页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(41271402);省部共建黄河中下游数字地理技术教育部重点实验室开放基金项目(GTYR2011002);国家科技重大专项资助项目(2014ZX10003002)

摘　　要：为提高基于高斯模式的空气污染扩散计算的效率,研究从污染源、研究区域空间分层与栅格划分等3个因子入手,设计单因子、双因子和三因子作用下的多种并行算法,同时采用PC机群对算法进行实现.针对珠三角区域空气污染并行计算试验结果表明,并行算法能将计算时间减少90%,大大提高了模型计算效率,很大程度上满足了基于高斯模式的空气污染实时计算要求.To decrease computation time and consequently improve computatton efficiency of GPM, parallel algorithms based on pollution sources, levels of study area and grids of each level were designed. These parallel algorithms were also implemented and run on computer cluster. Our efforts were tested with a case of air pollution dispersion in Pearl River Delta. The test result indicates that the parallel algorithms can decrease computation time vastly by ninety percent, which makes it is possible to apply GPM in emergence response modeling and computation.

关 键 词：并行处理 高斯模式 空气污染扩散 计算机群 珠三角 

分 类 号：P409[天文地球—大气科学及气象学]