基于系统建模理论对空气质量的分析与研究
首发时间:2014-05-16
摘要:本文运用复杂系统论的方法,对空气质量污染指数进行了研究。我们发现影响空气污染指数的主要有六种污染物PM2.5,PM10,CO,SO2,NO2,O3,它们对空气质量的作用不是单方面的,而是综合的。在分析基础上,我们根据变异系数等系统论方法,运用SPSS等数据处理软件以及编程等处理手段得到了它们的最优模型,更改了原有以这六种污染物最大的空气污染指数作为最终结果的结论。
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Analysis and research of air quality based on system modeling
Abstract:In this paper, we use the complex system theory to analyze the air quality index.We find that there are 6 kinds of pollutants that can influent the index.These are PM2.5,PM10,CO,SO2,NO2,O3. Their influence on air quality is not unilateral, but comprehensive. What's more, we use some methods like variation coefficient method, some software like SPSS for data processing and programming to get the best model. This will change the former method which makes the maxinum individual air quality index as the air quality index and make the computational method more believable.
Keywords: system modeling air quality index variation coefficient method air pollutant
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No.4594152971782139****
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