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基于主成分回归分析的湖南省雾霾影响因素研究

Study on influencing factors of smog based on principal component regression analysis in Hunan Province
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摘要 以湖南省14个地级市(州)为样本,先运用主成分分析法判断影响雾霾的主要因素,然后再通过多元线性回归法对影响雾霾的主要因素进行分析。结果表明:湖南省雾霾形成的重要原因是工业的发展,并且AQI值与第二产业工业产值比重、石化能源消耗量、单位面积私家车数量呈正相关关系,与地区人口密度、绿色植被覆盖率、年均降水量呈负相关关系。 Taking 14 prefecture-level cities(states)in Hunan Province as samples,the principal component analysis was used to judge the main factors affecting smog,and then the main factors affecting smog were reanalyzed by multiple linear regression method.The results show that industrial development is an important cause of smog formation in Hunan Province,and smog pollution is positively correlated with the proportion of industrial output value,petrochemical energy consumption and the number of private cars per unit area,and negatively correlated with regional population density,green vegetation coverage rate and average annual precipitation.
作者 翟楠楠 朱颖芳 刘艳 王玲 张娟 ZHAI Nannan;ZHU Yingfang;LIU Yan;WANG Ling;ZHANG Juan(College of Computer and Information Engineering,Central South University of Forestry and Technology,Changsha 410004,Hunan,China;Key Laboratory for Digital Dongting Lake Basin of Hunan Province,Changsha 410004,Hunan,China;Hunan Changsha-Zhuzhou-Xiangtan Urban Forest Ecosystem Station,National Forestry and Grassland Administration,Changsha 410116,Hunan,China)
出处 《湖南林业科技》 2020年第4期79-84,共6页 Hunan Forestry Science & Technology
基金 湖南省省级以上公益林生态监测评价(HNGYL-201-01) 湖南省重点研发项目(2017SK2272) 湖南省林业科技创新专项(XLK201942)。
关键词 雾霾 主成分分析 多元线性回归分析 湖南省 smog principal component analysis linear regression analysis Hunan Province
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