Cover Image

The most important contaminants of air pollutants in Klang station using multivariate statistical analysis

Air pollution is a crucial subject that needs responsiveness from all relevant authorities as it is one of the major factors that disturbing public health, agricultural industries, forest species and environments. Thus, it is important to determine the most significance contaminants to monitor the a...

Full description

Saved in:
Bibliographic Details
Main Authors: Zakaria, Haslina, Sharif, Shamshuritawati
Format: Article
Published: IP Publishing LLC 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/26459/
http://doi.org/10.1063/1.5121142
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uum.repo.26459
record_format eprints
spelling my.uum.repo.264592019-09-26T01:09:57Z http://repo.uum.edu.my/26459/ The most important contaminants of air pollutants in Klang station using multivariate statistical analysis Zakaria, Haslina Sharif, Shamshuritawati QA75 Electronic computers. Computer science Air pollution is a crucial subject that needs responsiveness from all relevant authorities as it is one of the major factors that disturbing public health, agricultural industries, forest species and environments. Thus, it is important to determine the most significance contaminants to monitor the air quality. In this study, the daily data of contaminants suspended in the air which are particulate matter (PM), and various gases such as ozone (O3), nitrogen oxides (NO2), sulphur dioxide (SO2), and carbon monoxide (CO) are used. It is covering a four year time period from 2011 until 2014 that vetained from the Malaysian Department of Environment (DOE). Multivariate statistical analysis such as a radar plot, correlation analysis and principal component analysis is used to determine the most significant contaminants for the air-pollutant. From the study, it can be concluded that that Nitrogen Oxides (52%) is the most influential contaminant of air pollutants followed by Particulate Matter (43.9%) and Carbon Monoxide (43.3%). IP Publishing LLC 2019 Article PeerReviewed Zakaria, Haslina and Sharif, Shamshuritawati (2019) The most important contaminants of air pollutants in Klang station using multivariate statistical analysis. AIP Conference Proceedings, 2138. 050037. ISSN 0094-243X http://doi.org/10.1063/1.5121142 doi:10.1063/1.5121142
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zakaria, Haslina
Sharif, Shamshuritawati
The most important contaminants of air pollutants in Klang station using multivariate statistical analysis
description Air pollution is a crucial subject that needs responsiveness from all relevant authorities as it is one of the major factors that disturbing public health, agricultural industries, forest species and environments. Thus, it is important to determine the most significance contaminants to monitor the air quality. In this study, the daily data of contaminants suspended in the air which are particulate matter (PM), and various gases such as ozone (O3), nitrogen oxides (NO2), sulphur dioxide (SO2), and carbon monoxide (CO) are used. It is covering a four year time period from 2011 until 2014 that vetained from the Malaysian Department of Environment (DOE). Multivariate statistical analysis such as a radar plot, correlation analysis and principal component analysis is used to determine the most significant contaminants for the air-pollutant. From the study, it can be concluded that that Nitrogen Oxides (52%) is the most influential contaminant of air pollutants followed by Particulate Matter (43.9%) and Carbon Monoxide (43.3%).
format Article
author Zakaria, Haslina
Sharif, Shamshuritawati
author_facet Zakaria, Haslina
Sharif, Shamshuritawati
author_sort Zakaria, Haslina
title The most important contaminants of air pollutants in Klang station using multivariate statistical analysis
title_short The most important contaminants of air pollutants in Klang station using multivariate statistical analysis
title_full The most important contaminants of air pollutants in Klang station using multivariate statistical analysis
title_fullStr The most important contaminants of air pollutants in Klang station using multivariate statistical analysis
title_full_unstemmed The most important contaminants of air pollutants in Klang station using multivariate statistical analysis
title_sort most important contaminants of air pollutants in klang station using multivariate statistical analysis
publisher IP Publishing LLC
publishDate 2019
url http://repo.uum.edu.my/26459/
http://doi.org/10.1063/1.5121142
_version_ 1646016558638563328
score 13.211869

Similar Items