Numbers of real-time data(E-BAM)of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University(Sanya,China).The average mass concentration was 19.7μg/m³.Th...Numbers of real-time data(E-BAM)of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University(Sanya,China).The average mass concentration was 19.7μg/m³.The highest 40.5μg/m³in October compared to the lowest 14.1μg/m³in July.From a seasonal perspective,the average PM2.5 mass concentration in fall and winter are relatively higher than that in both spring and summer.On the basis of satellite map of fire points and backward trajectories of the air masses,we primarily deduced that the PM2.5 in Sanya may be caused by the biomass burning and industrial pollutants from the area of Pearl River Delta of China and the Indo-China peninsula(e.g.Vietnam,Laos).展开更多
考虑在函数型解释变量部分观测的情况下,用函数线性模型刻画与标量响应变量的关系.基于函数型主成分分析(Functional Principal Component Analysis,简称FPCA)实现了对缺失部分样本的重构,并通过实证分析,对一组北京市2010-2014年间统...考虑在函数型解释变量部分观测的情况下,用函数线性模型刻画与标量响应变量的关系.基于函数型主成分分析(Functional Principal Component Analysis,简称FPCA)实现了对缺失部分样本的重构,并通过实证分析,对一组北京市2010-2014年间统计的包括部分观测PM2.5数值的气象数据,分析了PM2.5作为部分观测函数型解释变量对标量响应变量平均气温的影响,结果表明了该方法具有处理缺失函数数据的现实意义.展开更多
基金This work was supported by Cooperation Project of Chinese Academy of Sciences and Sanya Government(2018YD14)It also partially supported by the National Natural Science Foundation of China(41867046)+3 种基金Hainan Provincial Natural Science Foundation of China(2019RC243)State Key Laboratory of Loess and Quaternary Geology(SKLLQG1830)Key Laboratory of Aerosol Chemistry and Physics(KLACP2001)Institute of Earth Environment,CAS.We thank Giovanni online tools of the NASA Goddard Earth Sciences Data and Information Services Center(GES DISC).
文摘Numbers of real-time data(E-BAM)of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University(Sanya,China).The average mass concentration was 19.7μg/m³.The highest 40.5μg/m³in October compared to the lowest 14.1μg/m³in July.From a seasonal perspective,the average PM2.5 mass concentration in fall and winter are relatively higher than that in both spring and summer.On the basis of satellite map of fire points and backward trajectories of the air masses,we primarily deduced that the PM2.5 in Sanya may be caused by the biomass burning and industrial pollutants from the area of Pearl River Delta of China and the Indo-China peninsula(e.g.Vietnam,Laos).
文摘考虑在函数型解释变量部分观测的情况下,用函数线性模型刻画与标量响应变量的关系.基于函数型主成分分析(Functional Principal Component Analysis,简称FPCA)实现了对缺失部分样本的重构,并通过实证分析,对一组北京市2010-2014年间统计的包括部分观测PM2.5数值的气象数据,分析了PM2.5作为部分观测函数型解释变量对标量响应变量平均气温的影响,结果表明了该方法具有处理缺失函数数据的现实意义.
