Kai-guang Zhang, Ming-ting Ba, Hong-ling Meng, Yan-min Sun
{"title":"An air quality composite index based on pollutant concentration factor analysis","authors":"Kai-guang Zhang, Ming-ting Ba, Hong-ling Meng, Yan-min Sun","doi":"10.5897/ajmcsr2019.0788","DOIUrl":null,"url":null,"abstract":"To overcome the problems of Air Quality Index in describing regional short-term air quality status and changing trend, based on the daily average concentrations of six air pollutants affecting regional air quality in Zhengzhou from 2015 to 2018, this paper analyzes their correlation characteristics and defines an air quality composite index instead of the original index by using factor analysis method, which not only extracts all the information of each Individual Air Quality Index, but also eliminates the correlation among them. At last, it analyzes the difference between the two indices in describing regional short-term air quality status and changing trend. \n \n Key words: Air quality index (AQI), individual air quality index (IAQI), correlation coefficient, partial correlation coefficient, information extraction, factor analysis.","PeriodicalId":145313,"journal":{"name":"African Journal of Mathematics and Computer Science Research","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Mathematics and Computer Science Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5897/ajmcsr2019.0788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
To overcome the problems of Air Quality Index in describing regional short-term air quality status and changing trend, based on the daily average concentrations of six air pollutants affecting regional air quality in Zhengzhou from 2015 to 2018, this paper analyzes their correlation characteristics and defines an air quality composite index instead of the original index by using factor analysis method, which not only extracts all the information of each Individual Air Quality Index, but also eliminates the correlation among them. At last, it analyzes the difference between the two indices in describing regional short-term air quality status and changing trend.
Key words: Air quality index (AQI), individual air quality index (IAQI), correlation coefficient, partial correlation coefficient, information extraction, factor analysis.