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Assessing indoor air quality using chemometric models

Azid, Azman and Amran, Mohammad Azizi and Samsudin, Mohd Saiful and Abd Rani, Nurul Latiffah and Khalit, Saiful Iskandar and Yunus, Kamaruzzaman and Gasim, Muhammad Barzani and Mohd Saudi, Ahmad Shakir and Muhammad Amin, Siti Noor Syuhada and Ku Yusof, Ku Mohd Kalkausar and UNSPECIFIED (2018) Assessing indoor air quality using chemometric models. Polish Journal of Environmental Studies, 27 (6). pp. 2443-2450. ISSN 1230-1485

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The objectives of this study are to identify the significant variables and to verify the best statistical method for determining the effect of indoor air quality (IAQ) at 7 different locations in Universiti Sultan Zainal Abidin, Terengganu, Malaysia. The IAQ data were collected using in-situ measurement. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), linear discrimination analysis (LDA), and agglomerative hierarchical clustering (AHC) were used to classify the significant variables as well as to compare the best method for determining IAQ levels. PCA verifies only 4 out of 9 parameters (PM10, PM2.5, PM1.0, and O3) and is the significant variable in IAQ. The PLS-DA model classifies 89.05% correct of the IAQ variables in each station compared to LDA with only 66.67% correct. AHC identifies three cluster groups, which are highly polluted concentration (HPC), moderately polluted concentration (MPC), and low-polluted concentration (LPC) area. PLS-DA verifies the groups produced by AHC by identifying the variables that affect the quality at each station without being affected by redundancy. In conclusion, PLS-DA is a promising procedure for differentiating the group classes and determining the correct percentage of variables for IAQ.

Item Type: Article (Journal)
Additional Information: 5410/63918
Uncontrolled Keywords: indoor air quality (IAQ), pattern recognition, PCA, PLS-DA, LDA
Subjects: Q Science > QD Chemistry
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science
Depositing User: Professor Dr. Kamaruzzaman Yunus
Date Deposited: 31 May 2018 09:45
Last Modified: 24 Jan 2019 09:55
URI: http://irep.iium.edu.my/id/eprint/63918

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