Identification source of variation on regional impact of air quality pattern using chemometric techniques in Kuching, Sarawak

Nur Liyana Zakri, Ahmad Shakir Mohd Saudi, Hafizan Juahir, Mohd. Ekhwan Toriman, Izuddin Fahmy Abu, Muhammad Muaz Mahmud, Firoz Khan

Research output: Contribution to journalArticle

Abstract

Air pollution has been considered a devastating environmental issue that can negatively impact human health and the environment. Kuching as one of the capital cities in Malaysia is also affected by air pollution and unsatisfactory air quality condition. Thus, the main objective is to identify the source of variation on regional impact of air quality pattern in Kuching, Sarawak. A seven-year (2009-2015) database was acquired from the Malaysia Department of Environment (DOE). The data were analysed using several Chemometric Techniques. The findings demonstrated strong positive correlation of Particulate Matter below than 10 microns (PM10) and API (r = 0.994). In addition, Principal Component Analysis (PCA) and Artificial Neural Network (ANN) revealed that Carbon Monoxide (CO), Ozone (O3) and PM10 were the most significant air pollutants in Kuching. Based on the results in the Statistical Process Chart (SPC) analysis, PM10, CO and O3 values exceeded the Control Limit (CL) of SPC. This study concluded that the application of air quality model in this study is relevant for mitigating action plan of air quality in Kuching, Sarawak, as it is of paramount importance to continuously monitor and manage the quality of air for the sustainability of the environment and human health.

Original languageEnglish
Pages (from-to)49-54
Number of pages6
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3.14 Special Issue 14
Publication statusPublished - 1 Jan 2018

Fingerprint

Malaysia
Air quality
Air
Carbon Monoxide
Air pollution
Carbon monoxide
Air Pollution
Health
Air Pollutants
Particulate Matter
Ozone
Application programming interfaces (API)
Principal component analysis
Sustainable development
Principal Component Analysis
Neural networks
Databases

Keywords

  • Air quality
  • Artificial Neural Network
  • Chemometric techniques
  • Correlation
  • Principal component analysis

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Identification source of variation on regional impact of air quality pattern using chemometric techniques in Kuching, Sarawak. / Zakri, Nur Liyana; Saudi, Ahmad Shakir Mohd; Juahir, Hafizan; Toriman, Mohd. Ekhwan; Abu, Izuddin Fahmy; Mahmud, Muhammad Muaz; Khan, Firoz.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.14 Special Issue 14, 01.01.2018, p. 49-54.

Research output: Contribution to journalArticle

Zakri, Nur Liyana ; Saudi, Ahmad Shakir Mohd ; Juahir, Hafizan ; Toriman, Mohd. Ekhwan ; Abu, Izuddin Fahmy ; Mahmud, Muhammad Muaz ; Khan, Firoz. / Identification source of variation on regional impact of air quality pattern using chemometric techniques in Kuching, Sarawak. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 3.14 Special Issue 14. pp. 49-54.
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