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基于主成分分析南京空气污染各成分的关系
引用本文:贺永平.基于主成分分析南京空气污染各成分的关系[J].绿色科技,2014(4):255-257.
作者姓名:贺永平
作者单位:东南大学机械工程学院工业工程系;
摘    要:根据从南京9个空气环境监测站所得到的空气污染物数据,在空气各成分的相关性指标中,运用主成分分析法,对各个监测样本各个特征性指标进行了分类分析,结果表明:占总方差的79.038%的3个因子来反映空气污染的总体程度,这3个因子归类分别为:①NO2、03、032和SO2,②AQI和03,③PM10和CO。有主成分分析法可以准确地探讨出空气各污染指数准确的内在关系,为当下的环境治理提供一些参考和帮助。

关 键 词:空气污染  主成分分析  可吸入颗粒

Analysis of Relationship of Air Pollution Components of Nanjing Based on Principal Component Analysis
He Yongping.Analysis of Relationship of Air Pollution Components of Nanjing Based on Principal Component Analysis[J].LVSE DASHIJIU,2014(4):255-257.
Authors:He Yongping
Institution:He Yongping ( College of Mechanical Engineering, South East University, Nanjing 211189, China)
Abstract:According to the data of air pollutants in ambient air from nine air environmental monitoring stations of Nanjing,this article uses principal component analysis in the relevant indicators of each component in the air to conduct classification analysis of the characteristics of various monitoring indicators of each sample. The results show that there are three factors which are 79. 038% of the total variance reflecting the overall level of air pollution, and they are categorized as ① NO2 , O3,032 and SO2, ② AQI and 03, ③ PM10 and CO. By using principal component analysis it can accurately investigate the accurate intrinsic the current environmental governance. relationship of air pollution index and provide references for the current environmental governance.
Keywords:air pollution  principal component analysis  respirable particulate
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