Long-term water quality assessment in a Tropical Monsoon

Gabasawa Alhassan Idris, . and Abba Umar Da’u, . and Anyika Chinedum, . and Nor Rohaizah Jamil, . and Abdulkareem Jabir Harna, . Long-term water quality assessment in a Tropical Monsoon. pp. 1955-1959. ISSN 2231-8526

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 watersheds 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.

Full text available from: Official URL: http://www.pertanika.upm.edu.my/resources/files/Pe...

Abstract

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 watersheds 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.

[error in script]

Item Type:	Article
AGROVOC Term:	Water quality
AGROVOC Term:	Monsoon climate
AGROVOC Term:	Environmental pollution
AGROVOC Term:	Land use
AGROVOC Term:	Logging
AGROVOC Term:	Agricultural development
AGROVOC Term:	Land development (urbanization)
AGROVOC Term:	Watershed management
AGROVOC Term:	Statistical analysis
AGROVOC Term:	Turbidity
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/9393

Actions (login required)

View Item