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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/76335/1/29%20JST%28S%29-0493-2019.pdf |
| _version_ | 1796980042853515264 |
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| author | Abdulkareem, Jabir Harna Umar, Da'u Abba Gabasawa, Alhassan Idris Anyika, Chinedum Jamil, Nor Rohaizah |
| author_facet | Abdulkareem, Jabir Harna Umar, Da'u Abba Gabasawa, Alhassan Idris Anyika, Chinedum Jamil, Nor Rohaizah |
| author_sort | Abdulkareem, Jabir Harna |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:17:40Z |
| format | Article |
| id | upm.eprints-76335 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:17:40Z |
| publishDate | 2019 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | Long-term water quality assessment in a tropical monsoon |
| title_sort | long term water quality assessment in a tropical monsoon |
| url | http://psasir.upm.edu.my/id/eprint/76335/1/29%20JST%28S%29-0493-2019.pdf |
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