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Long-term water quality assessment in a tropical monsoon

Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) were applied to water quality parameters in order to interpret complex matrices for better assessment of water quality and environmental status of a watershed. A study was conducted to assess wat...

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Main Authors: Abdulkareem, Jabir Harna, Umar, Da'u Abba, Gabasawa, Alhassan Idris, Anyika, Chinedum, Jamil, Nor Rohaizah
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2019
Online Access:http://psasir.upm.edu.my/id/eprint/76335/1/29%20JST%28S%29-0493-2019.pdf
http://psasir.upm.edu.my/id/eprint/76335/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(4)%20Oct.%202019/29%20JST(S)-0493-2019.pdf
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spelling my.upm.eprints.763352020-02-04T03:51:06Z http://psasir.upm.edu.my/id/eprint/76335/ Long-term water quality assessment in a tropical monsoon Abdulkareem, Jabir Harna Umar, Da'u Abba Gabasawa, Alhassan Idris Anyika, Chinedum Jamil, Nor Rohaizah Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) were applied to water quality parameters in order to interpret complex matrices for better assessment of water quality and environmental status of a watershed. A study was conducted to assess water quality and to establish relationship among water quality parameters in Kelantan River basin. Water quality data was obtained from Department of Environment, (DOE) Malaysia from 2005-2014. Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) were applied to 15 water quality parameters in order to interpret complex matrices for better assessment of water quality and environmental status of the watershed. From the results, five PCs were extracted which are collectively accountable for controlling approximately 70% of the watershed’s water quality. Results of cluster analysis indicated that three water quality parameters that included total suspended solids, total solids and turbidity control the water quality of the study area. These parameters were allocated into three clusters based on their similarity. The finding of this study will contribute to existing knowledge of the problems associated with water quality in the basin. This information can be put to use by land use managers and policy makers for future planning and development of the watershed. Universiti Putra Malaysia Press 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/76335/1/29%20JST%28S%29-0493-2019.pdf Abdulkareem, Jabir Harna and Umar, Da'u Abba and Gabasawa, Alhassan Idris and Anyika, Chinedum and Jamil, Nor Rohaizah (2019) Long-term water quality assessment in a tropical monsoon. Pertanika Journal of Science & Technology, 27 (4). pp. 1955-1969. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(4)%20Oct.%202019/29%20JST(S)-0493-2019.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) were applied to water quality parameters in order to interpret complex matrices for better assessment of water quality and environmental status of a watershed. A study was conducted to assess water quality and to establish relationship among water quality parameters in Kelantan River basin. Water quality data was obtained from Department of Environment, (DOE) Malaysia from 2005-2014. Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) were applied to 15 water quality parameters in order to interpret complex matrices for better assessment of water quality and environmental status of the watershed. From the results, five PCs were extracted which are collectively accountable for controlling approximately 70% of the watershed’s water quality. Results of cluster analysis indicated that three water quality parameters that included total suspended solids, total solids and turbidity control the water quality of the study area. These parameters were allocated into three clusters based on their similarity. The finding of this study will contribute to existing knowledge of the problems associated with water quality in the basin. This information can be put to use by land use managers and policy makers for future planning and development of the watershed.
format Article
author Abdulkareem, Jabir Harna
Umar, Da'u Abba
Gabasawa, Alhassan Idris
Anyika, Chinedum
Jamil, Nor Rohaizah
spellingShingle Abdulkareem, Jabir Harna
Umar, Da'u Abba
Gabasawa, Alhassan Idris
Anyika, Chinedum
Jamil, Nor Rohaizah
Long-term water quality assessment in a tropical monsoon
author_facet Abdulkareem, Jabir Harna
Umar, Da'u Abba
Gabasawa, Alhassan Idris
Anyika, Chinedum
Jamil, Nor Rohaizah
author_sort Abdulkareem, Jabir Harna
title Long-term water quality assessment in a tropical monsoon
title_short Long-term water quality assessment in a tropical monsoon
title_full Long-term water quality assessment in a tropical monsoon
title_fullStr Long-term water quality assessment in a tropical monsoon
title_full_unstemmed Long-term water quality assessment in a tropical monsoon
title_sort long-term water quality assessment in a tropical monsoon
publisher Universiti Putra Malaysia Press
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/76335/1/29%20JST%28S%29-0493-2019.pdf
http://psasir.upm.edu.my/id/eprint/76335/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(4)%20Oct.%202019/29%20JST(S)-0493-2019.pdf
_version_ 1662756511728795648
score 13.211869

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