新疆大学数学与系统科学学院
纸质出版:2021
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[1]李妍琳,石小平,胡锡健.汾渭平原空气质量数据的函数型主成分分析[J].新疆大学学报(自然科学版)(中英文),2021,38(06):675-680.
[1]李妍琳,石小平,胡锡健.汾渭平原空气质量数据的函数型主成分分析[J].新疆大学学报(自然科学版)(中英文),2021,38(06):675-680. DOI: 10.13568/j.cnki.651094.651316.2020.10.07.0001.
DOI:10.13568/j.cnki.651094.651316.2020.10.07.0001.
汾渭平原作为我国的四大平原之一
由于该地区大气污染事件频发
已成为我国大气污染最严重的区域之一
引起了社会各界普遍的关注.本文基于汾渭平原地区11个城市的空气质量数据
研究了2019年汾渭平原地区的PM2.5浓度日数据.根据空气质量数据的函数型特性
采用函数型数据分析方法对PM2.5浓度数据连续化
从图像上能直观精确地看出2019年汾渭平原PM2.5浓度变化动态
进而对函数化的数据进行函数型主成分分析.结果表明:气候温度是影响汾渭平原地区空气质量的因素之一
冬季采暖期各市的PM2.5浓度普遍偏高;地理位置也影响PM2.5浓度
河谷平原的PM2.5浓度明显高于两侧山地
且呈现出向两侧山地递减趋势.
As one of the four great plains in China
Fenwei Plain has become one of the most serious air pollution areas in China due to its frequent air pollution events
which has aroused widespread concern from all walks of life. This paper studies the daily data of PM2.5 concentration in Fenwei Plain in 2019. According to the functional characteristics of air quality data
the PM2.5 concentration data is continuous by using the functional data analysis method
and the dynamic change of PM2.5 concentration in Fenwei Plain in 2019 can be seen more intuitively and accurately from the image. The results show that the temperature is the main factor affecting the air quality in Fenwei Plain
and the PM2.5 concentration of each city is generally higher in winter heating period;the concentration of PM2.5 in the valley plain is significantly higher than that in the mountains on both sides.
张义学.汾渭平原坚决打赢蓝天保卫战[J].西部大开发, 2019(4):97-99.ZHANG Y X. The Fenwei Plain resolutely wins the battle against the blue sky[J]. Western Development, 2019(4):97-99.(in Chinese)
楚德见,金阿芳,沈广旭.高层建筑室外颗粒污染物扩散的数值模拟研究[J].新疆大学学报(自然科学版), 2018, 35(2):126-130.CHU D J, JIN A F, SHENG G X. Numerical simulation of outdoor particulate pollutant dispersion in high-rise buildings[J].Journal of Xinjiang University(Natural Science Edition), 2018, 35(2):126-130.(in Chinese)
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吴金旺,顾洲一.长三角地区数字普惠金融一体化实证分析:基于函数型主成分分析方法[J].武汉金融, 2019(11):23-28.WU J W, GU Z Y. An empirical analysis of the integration of digital inclusive finance in the Yangtze River Delta Region:based on the functional principal component analys is method[J]. Wuhan Finance, 2019(11):23-28.(in Chinese)
唐裔,冯长焕.基于函数型主成分分析的我国城市人口研究[J].伊犁师范学院学报(自然科学版),2019, 13(3):9-16.TANG Y, FENG C H. Research on my country’s urban population based on functional principal component analysis[J]. Journal of Yili Normal University(Natural Science Editio), 2019, 13(3):9-16.(in Chinese)
梁银双,刘黎明.京津冀地区PM2.5污染特征的研究:基于函数型数据分析的视角[J].运筹学报, 2018, 22(2):105-114.LIANG Y S, LIU L M. Research on the characteristics of PM2.5pollution in the Beijing Tianjin and Hebei Region:based on the perspective of functional data analysis[J]. Journal of Operations Research, 2018, 22(2):105-114.(in Chinese)
RAMSAY J O, HOOKER G, GRAVES S.Functional data analysis with R and Matlab[M].New York:Springer, 2009.
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