Identification source of variation on regional impact of air quality pattern using chemometric

Azman Azid, Hafizan Juahir, Ezureen Ezani, Mohd. Ekhwan Toriman, Azizah Endut, Mohd Nordin Abdul Rahman, Kamaruzzaman Yunus, Mohd Khairul Amri Kamarudin, Che Noraini Che Hasnam, Ahmad Shakir Mohd Saudi, Roslan Umar

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This study intends to show the effectiveness of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), factor analysis (FA) and multiple linear regressions (MLR) for assessing the air quality data and air pollution sources pattern recognition. The data sets of air quality for 12 months (January–December) in 2007, consisting of 14 stations around Peninsular Malaysia with 14 parameters (168 datasets) were applied. Three significant clusters - low pollution source (LPS) region, moderate pollution source (MPS) region, and slightly high pollution source (SHPS) region were generated via HACA. Forward stepwise of DA managed to discriminate 8 variables, whereas backward stepwise of DA managed to discriminate 9 out of 14 variables. The method of PCA and FA has identified 8 pollutants in LPS and SHPS respectively, as well as 11 pollutants in MPS region, where most of the pollutants are expected derived from industrial activities, transportation and agriculture systems. Four MLR models show that PM10 categorize as the primary pollutant in Malaysia. From the study, it can be stipulated that the application of chemometric techniques can disclose meaningful information on the spatial variability of a large and complex air quality data. A clearer review about the air quality and a novel design of air quality monitoring network for better management of air pollution can be achieved.

Original languageEnglish
Pages (from-to)1545-1558
Number of pages14
JournalAerosol and Air Quality Research
Volume15
Issue number4
DOIs
Publication statusPublished - 3 Aug 2015
Externally publishedYes

Fingerprint

pollutant source
Air quality
air quality
Pollution
Discriminant analysis
discriminant analysis
Cluster analysis
Factor analysis
Air pollution
pollutant
Linear regression
Principal component analysis
factor analysis
cluster analysis
principal component analysis
atmospheric pollution
pattern recognition
Agriculture
Pattern recognition
Monitoring

Keywords

  • Air quality
  • Chemometric
  • DA
  • FA
  • HACA
  • MLR
  • Pattern recognition
  • PCA

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution

Cite this

Identification source of variation on regional impact of air quality pattern using chemometric. / Azid, Azman; Juahir, Hafizan; Ezani, Ezureen; Toriman, Mohd. Ekhwan; Endut, Azizah; Rahman, Mohd Nordin Abdul; Yunus, Kamaruzzaman; Kamarudin, Mohd Khairul Amri; Hasnam, Che Noraini Che; Saudi, Ahmad Shakir Mohd; Umar, Roslan.

In: Aerosol and Air Quality Research, Vol. 15, No. 4, 03.08.2015, p. 1545-1558.

Research output: Contribution to journalArticle

Azid, A, Juahir, H, Ezani, E, Toriman, ME, Endut, A, Rahman, MNA, Yunus, K, Kamarudin, MKA, Hasnam, CNC, Saudi, ASM & Umar, R 2015, 'Identification source of variation on regional impact of air quality pattern using chemometric', Aerosol and Air Quality Research, vol. 15, no. 4, pp. 1545-1558. https://doi.org/10.4209/aaqr.2014.04.0073
Azid, Azman ; Juahir, Hafizan ; Ezani, Ezureen ; Toriman, Mohd. Ekhwan ; Endut, Azizah ; Rahman, Mohd Nordin Abdul ; Yunus, Kamaruzzaman ; Kamarudin, Mohd Khairul Amri ; Hasnam, Che Noraini Che ; Saudi, Ahmad Shakir Mohd ; Umar, Roslan. / Identification source of variation on regional impact of air quality pattern using chemometric. In: Aerosol and Air Quality Research. 2015 ; Vol. 15, No. 4. pp. 1545-1558.
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