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应用GIS模拟城市大气污染物浓度分布
引用本文:马安青,胡泓,安兴琴,高峰,王其详. 应用GIS模拟城市大气污染物浓度分布[J]. 城市环境与城市生态, 2007, 0(2)
作者姓名:马安青  胡泓  安兴琴  高峰  王其详
作者单位:中国海洋大学海洋环境与生态教育部重点实验室,中国海洋大学海洋环境与生态教育部重点实验室,北京大学环境学院环境模拟与污染控制国家重点实验室,中国科学院资源环境信息中心,中国海洋大学海洋环境与生态教育部重点实验室 青岛266003中国海洋大学环境科学与工程学院,青岛266003,青岛266003中国海洋大学环境科学与工程学院,青岛266003,北京100871,兰州730000,青岛266003中国海洋大学环境科学与工程学院,青岛266003
摘    要:从点源大气污染扩散模型出发,借助GIS的栅格与数据库运算功能,结合自已设计的推算流程,对兰州市大气污染物SO2的空间分布情况进行了模拟。经检验,该方法能够较准确的反映出兰州大气污染物的空间分布特征,较应用实测值进行插值的方法简便,具有较好的应用前景。

关 键 词:高斯点源扩散模型  GIS  大气污染物地面浓度  模拟  kriging插值

Using GIS to Simulate Distribution of Ground Concentration of Urban Air Pollution
MA An-qing,HU Hong,AN Xing-qin,GAO Feng,WANG Qi-xiang. Using GIS to Simulate Distribution of Ground Concentration of Urban Air Pollution[J]. Urban Environment & Urban Ecology, 2007, 0(2)
Authors:MA An-qing  HU Hong  AN Xing-qin  GAO Feng  WANG Qi-xiang
Abstract:Based only on air pollutant diffusion models of point source, the traditional simulation methods were merely able to calculate concentration on the special lee site of the source. Their shortage was that they were unable to show concentration distribution on the whole lee place of the source. Although interpolation means based by geo - statistics could show distribution characteristic of the pollutant concentration, it was hard for the way to display the distribution correctly only depending on discharge data of sources, for the method merely related to the distance factor by geo - statistics with abandoning the other factors, such as meteorological and climatic factors etc. In practice, it was nearly impossible to lay enough watch sites to get correct value of spatial interpolated value. Integrated with air pollutant diffusion model of point source and operation function of grid and table of GIS,in the study a special calculating flow was designed to simulate concentration distribution of SO2 in Lanzhou. Compared with the value got from the interpolated means, the value from the study could show characteristic of concentration of air pollutant in Lanzhou more correctly, for it adopted more influent factors. So the study proved that with correct model, GIS could more correctly display concentration distribution of the air pollutant. It was good foreground for GIS to be used in aero - environment.
Keywords:Gauss diffusion model of point discharge source  GIS  ground concentration of air pollutant  simulation  Kriging interpolation way
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