APPLICATION OF A LINEAR REGRESSION ANALYSIS TO AIRTEST PM2500.

Authors

  • Ha-Young Woo, Yong-Cheol Kim, Gyu-Sik Kim

Keywords:

indoor air quality, PM10 concentration, subway system, light scattering, linear regression analysis

Abstract

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.

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Published

2017-02-28

How to Cite

Ha-Young Woo, Yong-Cheol Kim, Gyu-Sik Kim. (2017). APPLICATION OF A LINEAR REGRESSION ANALYSIS TO AIRTEST PM2500. International Journal of Research Science and Management, 4(2), 1–6. Retrieved from http://ijrsm.com/index.php/journal-ijrsm/article/view/397

Issue

Vol. 4 No. 2 (2017)

Section

Articles