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Title |
Linear Regression Analysis to Evaluate the Particulate Matter Removal Rate of Functional Construction Materials
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Authors |
박광민(Kwang-Min Park) ; 민경성(Kyung-Sung Min) ; 정상화(Sang-Hwa Jung) ; 노영숙(Yonug-Sook Roh) |
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DOI |
https://doi.org/10.11112/jksmi.2021.25.5.86 |
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Abstract |
In order to remove particulate matter, functional construction materials are developed. However, there is no evaluation method and infrastructure for particulate matter removal rate. Therefore, the purpose of this study was to build a particulate matter removal rate test chamber and to present a method for particulate matter removal rate. As a result, since construction materials have effectiveness in an environment where particulate matter is generated, the particulate matter injection step was proposed as a comparison target. The evaluation of the particulate removal rate was proposed by relative comparison of the slope values obtained by linear regression analysis for all concentration values measured in the particulate matter injection step. In linear regression method, all measured values can be evaluated, and the variability can be evaluated with the coefficient of determination (R-square), so that the reliability of the particulate matter removal rate can be secured.
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