Calibration of Air Quality Data Based on Multiple Regression Model. Issue 3 (May 2020)

• Record Type: Journal Article
• Authors: Zhang, Hanping
• Is Part Of: IOP conference series. Volume 514:Issue 3(2020)
• Publication Date: 2020-05
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/514/3/032048
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: According to the data of question D's Annex 1 and Annex 2 of the National University Student Modeling Contest 2019, the correlation between the 6 air quality data errors and 5 meteorological factors at the self-built station is obtained by using the gray correlation method. Using the multiple linear regression method, and making the difference between the air quality data of the self-built station and the national control station as the dependent variable, and the meteorological data of the self-built station as the independent variables, six multiple regression equations were established to correct the air quality data of the self-built station.