
APPLICATION OF A LINEAR REGRESSION ANALYSIS TO AIRTEST PM2500
Author(s) -
Yong-Cheol Kim Ha-Young Woo
Publication year - 2017
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.272921
Subject(s) - linear regression , statistics , mathematics , regression analysis , computer science
Since an individual usually spends most of his/her working hours indoors, the ambient air quality refers to indoor air quality. In particular, PM10 concentration in the underground areas should be monitored to preserve the health of commuters in the subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation measure several air pollutants regularly. In this paper, the accuracy of an instrument for PM measurement using the light scattering method was improved with the help of a linear regression analysis technique to continuously measure the PM10 concentrations in subway stations