Discriminant analysis of water quality data in Langat River

River monitoring processes usually generate large databases of water quality variables. These water quality variables are important to identify the status of the river. Due to multidimensionality of complex characteristics in river water, meaningful information from a large database can be extracted...

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Main Authors: Mohd Ali, Zalina, Ibrahim, Noor Akma, Mengersen, Kerrie, Shitan, Mahendran, Juahir, Hafizan
Format: Conference or Workshop Item
Language:English
Published: Springer 2013
Online Access:http://psasir.upm.edu.my/id/eprint/55818/1/Discriminant%20analysis%20of%20water%20quality%20data%20in%20Langat%20River.pdf
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author Mohd Ali, Zalina
Ibrahim, Noor Akma
Mengersen, Kerrie
Shitan, Mahendran
Juahir, Hafizan
author_facet Mohd Ali, Zalina
Ibrahim, Noor Akma
Mengersen, Kerrie
Shitan, Mahendran
Juahir, Hafizan
author_sort Mohd Ali, Zalina
collection UPM
description River monitoring processes usually generate large databases of water quality variables. These water quality variables are important to identify the status of the river. Due to multidimensionality of complex characteristics in river water, meaningful information from a large database can be extracted by using multivariate statistical methods, i.e., discriminant analysis (DA). Appropriate univariate transformation and data screening for multivariate outlier’s detection were considered. The DA approach used in this study gave better information on river water quality, especially concerning the contribution of the variables in discriminating between the three spatial areas in Langat River.
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spelling upm.eprints-558182017-06-30T09:44:51Z http://psasir.upm.edu.my/id/eprint/55818/ Discriminant analysis of water quality data in Langat River Mohd Ali, Zalina Ibrahim, Noor Akma Mengersen, Kerrie Shitan, Mahendran Juahir, Hafizan River monitoring processes usually generate large databases of water quality variables. These water quality variables are important to identify the status of the river. Due to multidimensionality of complex characteristics in river water, meaningful information from a large database can be extracted by using multivariate statistical methods, i.e., discriminant analysis (DA). Appropriate univariate transformation and data screening for multivariate outlier’s detection were considered. The DA approach used in this study gave better information on river water quality, especially concerning the contribution of the variables in discriminating between the three spatial areas in Langat River. Springer 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55818/1/Discriminant%20analysis%20of%20water%20quality%20data%20in%20Langat%20River.pdf Mohd Ali, Zalina and Ibrahim, Noor Akma and Mengersen, Kerrie and Shitan, Mahendran and Juahir, Hafizan (2013) Discriminant analysis of water quality data in Langat River. In: International Conference on Environmental Forensics 2013, 11-14 Nov. 2013, Marriot Hotel, Putrajaya, Malaysia. (pp. 597-601). 10.1007/978-981-4560-70-2_106
spellingShingle Mohd Ali, Zalina
Ibrahim, Noor Akma
Mengersen, Kerrie
Shitan, Mahendran
Juahir, Hafizan
Discriminant analysis of water quality data in Langat River
title Discriminant analysis of water quality data in Langat River
title_full Discriminant analysis of water quality data in Langat River
title_fullStr Discriminant analysis of water quality data in Langat River
title_full_unstemmed Discriminant analysis of water quality data in Langat River
title_short Discriminant analysis of water quality data in Langat River
title_sort discriminant analysis of water quality data in langat river
url http://psasir.upm.edu.my/id/eprint/55818/1/Discriminant%20analysis%20of%20water%20quality%20data%20in%20Langat%20River.pdf
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AT mengersenkerrie discriminantanalysisofwaterqualitydatainlangatriver
AT shitanmahendran discriminantanalysisofwaterqualitydatainlangatriver
AT juahirhafizan discriminantanalysisofwaterqualitydatainlangatriver