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基于高斯模型对京津冀地区空气污染的研究

Research on Air Pollution in Beijing-Tianjin-Hebei Region Based on Gaussian Model
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摘要 针对京津冀地区的空气污染,使用模糊C均值聚类、模糊综合评价、F检验,分类讨论等方法,分别构建空气质量优劣衡量体系、连续高架点源高斯扩散、瞬时高架点源高斯扩散、连续线源高斯扩散等模型,使用MATLAB、SPSS软件,得到影响空气质量的关键参数。研究结果表明,京津冀地区污染的主要原因分别是机动车的大量使用、工业废气排放以及煤炭与燃油等化石能源燃烧等。 This article is about the air pollution,using fuzzy c-means clustering,fuzzy comprehensive evaluation,F-test,the methods of classification discussion,each building air quality measurement system,continuous Gaussian diffusion overhead Gaussian diffusion,instantaneous point source elevated point sources,such as continuous line source Gaussian diffusion model,the use of MATLAB,the SPSS software,get the key parameters affecting the quality of the air,and it is concluded that the main causes of pollution in Beijing-Tianjin-Hebei Region are the use of motor vehicles,industrial emissions and conclusions such as the burning of fossil fuels such as coal and oil.
出处 《河北联合大学学报(自然科学版)》 CAS 2016年第3期-,共9页 Journal of Hebei Polytechnic University:Social Science Edition
关键词 高斯模型 空气污染 模糊聚类 综合评价 F检验 Gaussian model air pollution fuzzy clustering comprehensive evaluation and F-test
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