Assessing indoor air quality using chemometric models

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 measu...

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Main Authors:	Azid, Azman, Amran, Mohammad Azizi, Samsudin, Mohd Saiful, Abd Rani, Nurul Latiffah, Khalit, Saiful Iskandar, Yunus, Kamaruzzaman, Gasim, Muhammad Barzani, Mohd Saudi, Ahmad Shakir, Muhammad Amin, Siti Noor Syuhada, Ku Yusof, Ku Mohd Kalkausar,
Format:	Article
Language:	English English English
Published:	Bentus 2018
Subjects:	QD Chemistry
Online Access:	http://irep.iium.edu.my/63918/ http://irep.iium.edu.my/63918/ http://irep.iium.edu.my/63918/1/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models_SCOPUS.pdf http://irep.iium.edu.my/63918/2/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models.pdf http://irep.iium.edu.my/63918/13/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models_WOS.pdf

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recordtype	eprints
spelling	iium-639182019-01-24T01:55:06Z http://irep.iium.edu.my/63918/ Assessing indoor air quality using chemometric models Azid, Azman Amran, Mohammad Azizi Samsudin, Mohd Saiful Abd Rani, Nurul Latiffah Khalit, Saiful Iskandar Yunus, Kamaruzzaman Gasim, Muhammad Barzani Mohd Saudi, Ahmad Shakir Muhammad Amin, Siti Noor Syuhada Ku Yusof, Ku Mohd Kalkausar , QD Chemistry 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. Bentus 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63918/1/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/63918/2/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models.pdf application/pdf en http://irep.iium.edu.my/63918/13/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models_WOS.pdf 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 10.15244/pjoes/78154
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QD Chemistry
spellingShingle	QD Chemistry Azid, Azman Amran, Mohammad Azizi Samsudin, Mohd Saiful Abd Rani, Nurul Latiffah Khalit, Saiful Iskandar Yunus, Kamaruzzaman Gasim, Muhammad Barzani Mohd Saudi, Ahmad Shakir Muhammad Amin, Siti Noor Syuhada Ku Yusof, Ku Mohd Kalkausar , Assessing indoor air quality using chemometric models
description	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.
format	Article
author	Azid, Azman Amran, Mohammad Azizi Samsudin, Mohd Saiful Abd Rani, Nurul Latiffah Khalit, Saiful Iskandar Yunus, Kamaruzzaman Gasim, Muhammad Barzani Mohd Saudi, Ahmad Shakir Muhammad Amin, Siti Noor Syuhada Ku Yusof, Ku Mohd Kalkausar ,
author_facet	Azid, Azman Amran, Mohammad Azizi Samsudin, Mohd Saiful Abd Rani, Nurul Latiffah Khalit, Saiful Iskandar Yunus, Kamaruzzaman Gasim, Muhammad Barzani Mohd Saudi, Ahmad Shakir Muhammad Amin, Siti Noor Syuhada Ku Yusof, Ku Mohd Kalkausar ,
author_sort	Azid, Azman
title	Assessing indoor air quality using chemometric models
title_short	Assessing indoor air quality using chemometric models
title_full	Assessing indoor air quality using chemometric models
title_fullStr	Assessing indoor air quality using chemometric models
title_full_unstemmed	Assessing indoor air quality using chemometric models
title_sort	assessing indoor air quality using chemometric models
publisher	Bentus
publishDate	2018
url	http://irep.iium.edu.my/63918/ http://irep.iium.edu.my/63918/ http://irep.iium.edu.my/63918/1/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models_SCOPUS.pdf http://irep.iium.edu.my/63918/2/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models.pdf http://irep.iium.edu.my/63918/13/63918_Assessing%20indoor%20air%20quality%20using%20chemometric%20models_WOS.pdf
first_indexed	2023-09-18T21:30:39Z
last_indexed	2023-09-18T21:30:39Z
_version_	1777412488329953280

Assessing indoor air quality using chemometric models

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