An investigation of Juru River basin water quality using principal component analysis

Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality d...

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Main Authors: Abdul-Karim, Basharoh, Sharif, Shamshuritawati
Format: Article
Published: IP Publishing LLC 2019
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Online Access:http://repo.uum.edu.my/26457/
http://doi.org/10.1063/1.5121106
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Institution: Universiti Utara Malaysia
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spelling my.uum.repo.264572019-09-26T01:08:18Z http://repo.uum.edu.my/26457/ An investigation of Juru River basin water quality using principal component analysis Abdul-Karim, Basharoh Sharif, Shamshuritawati QA75 Electronic computers. Computer science Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in Malaysia which is the Juru River basin located in Pulau Pinang. Data is gathered bimonthly from 2008 to 2017 for 20 parameters used to evaluate the status of the water quality. As a conclusion, the most important parameter are salinity, conductivity, dissolved solids, calcium, zinc, pH, arsenic and ammonia nitrogen. This study presents the usefulness of principal component analysis in evaluating and interpreting water quality data for the purpose of monitoring water resource management. IP Publishing LLC 2019 Article PeerReviewed Abdul-Karim, Basharoh and Sharif, Shamshuritawati (2019) An investigation of Juru River basin water quality using principal component analysis. AIP Conference Proceedings, 2138 (1). 050001. ISSN 0094-243X http://doi.org/10.1063/1.5121106 doi:10.1063/1.5121106
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
Abdul-Karim, Basharoh
Sharif, Shamshuritawati
An investigation of Juru River basin water quality using principal component analysis
description Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in Malaysia which is the Juru River basin located in Pulau Pinang. Data is gathered bimonthly from 2008 to 2017 for 20 parameters used to evaluate the status of the water quality. As a conclusion, the most important parameter are salinity, conductivity, dissolved solids, calcium, zinc, pH, arsenic and ammonia nitrogen. This study presents the usefulness of principal component analysis in evaluating and interpreting water quality data for the purpose of monitoring water resource management.
format Article
author Abdul-Karim, Basharoh
Sharif, Shamshuritawati
author_facet Abdul-Karim, Basharoh
Sharif, Shamshuritawati
author_sort Abdul-Karim, Basharoh
title An investigation of Juru River basin water quality using principal component analysis
title_short An investigation of Juru River basin water quality using principal component analysis
title_full An investigation of Juru River basin water quality using principal component analysis
title_fullStr An investigation of Juru River basin water quality using principal component analysis
title_full_unstemmed An investigation of Juru River basin water quality using principal component analysis
title_sort investigation of juru river basin water quality using principal component analysis
publisher IP Publishing LLC
publishDate 2019
url http://repo.uum.edu.my/26457/
http://doi.org/10.1063/1.5121106
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