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西安市PM_(2.5)污染源位置确定的模型应用研究
引用本文:吴正佳,刘碧波.西安市PM_(2.5)污染源位置确定的模型应用研究[J].环境科学与管理,2014(4):132-136.
作者姓名:吴正佳  刘碧波
作者单位:三峡大学机械与动力学院,湖北宜昌443002
摘    要:针对空气中PM2.5污染物的传播问题,以西安市的情况为实例,合理考虑风力等天气和季节因素的影响,建立能够刻画该地区PM2.5的发生和演变规律的有风高斯点源扩散数学模型,代入相关数据后,利用MATLAB软件求解出PM2.5污染源由一区扩散到另一区的浓度,最后由综合的各区总浓度得出PM2.5污染源的位置,并与该市实际检测到PM2.5数据进行对比分析。结果表明,确定的位置比较准确,该方法能为城市污染治理提供参考。

关 键 词:大气污染  PM.  高斯点源扩散模型  MATLAB

Application of Gauss Point Source Diffusioh Model in Determining Pollution Source of PM2.5
Wu Zhengjia,Liu Bibo.Application of Gauss Point Source Diffusioh Model in Determining Pollution Source of PM2.5[J].Environmental Science and Management,2014(4):132-136.
Authors:Wu Zhengjia  Liu Bibo
Institution:(College of Mechanical & Power Engineering, China Three Gorges University, Yichang 443002, China)
Abstract:According to the propagation of PM2 .5 pollutants in the air, this paper establishes Gauss point source diffusion mod- el to describe the generation and evolution of PM2.5 pollution by taking Xi'an City as an example and considering the influences of wind, weather and seasonal factors. After introducing relevant data, MATLAB software were used to determine the PM2 .5 concen- tration when it spreads from one area to another, finally the PM2.5 pollution source was spotted by calculating the concentration of various districts comprehensively. The simulated data was compared with the actual detected PM2.5 data. The results show that the positioning of pollution sources is accurate. The method provides reference for urban pollution.
Keywords:atmospheric pollution  PM2  5  gauss point source diffusion model  MATLAB
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