摘要
为评估近年来太原市大气污染状况,利用2013—2021年太原市环境空气质量监测数据,采用主成分分析法和Spearman秩相关系数法,对太原监测站的6类污染物进行分析。结果表明:太原市首要污染物为PM_(2.5),PM_(10)、NO_(2)及O_(3)浓度有所加重,冬季空气质量明显下降,其他季节空气质量良好且趋于稳定。自2018年空气质量呈向好趋势,但仍需提升,建议加强对污染物的监测与防治。
In order to evaluate the air contamination status in Taiyuan City,the study utilizes the ambient air quality monitoring data in Taiyuan City from 2013 to 2021,adopts principal component analysis and Spearman rank correlation coefficient method,and analyzes 6 kinds of contaminants in Taiyuan Monitoring Station.The results show that the main contaminants in Taiyaun City is PM_(2.5),PM_(10),NO_(2)and O_(3);the air quality in winter decreases significantly;and air quality of other seasons is stable.Air quality in 2018 is good,but still needs to be improved.It is suggested to promote the monitoring,and prevention and control of the contaminants.
作者
杨虹
于传文
马旭腾
Yang Hong;Yu Chuanwen;Ma Xuteng(Xinzhou Teachers University,Xinzhou 035400,China;Sport and Health University,Heze University,Heze 274015,China;Department of Mathematics,Xinzhou Normal University,Xinzhou 035400,China)
出处
《黑龙江科学》
2023年第8期37-40,共4页
Heilongjiang Science
关键词
空气质量
主成分分析
Spearman秩相关系数法
太原
Air quality
Principal component analysis
Spearman rank correlation coefficient method
Taiyuan
