Application Use of Water Quality Index (WQI) and Multivariate Analysis for Nokoué Lake Water Quality Assessment
American Journal of Environmental Science and Engineering
Volume 1, Issue 4, November 2017, Pages: 117-127
Received: Nov. 21, 2017; Accepted: Dec. 4, 2017; Published: Jan. 3, 2018
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Authors
Josué Esdras Babadjidé Zandagba, Laboratory of Applied Hydrology, University of Abomey-Calavi, Calavi, Benin
Firmin Mahoutin Adandedji, Laboratory of Applied Hydrology, University of Abomey-Calavi, Calavi, Benin
Bruno Enagnon Lokonon, Laboratory of Biomathematics and Forest Estimations, University of Abomey-Calavi, Calavi, Benin
Amédée Chabi, Laboratory of Applied Hydrology, University of Abomey-Calavi, Calavi, Benin
Oswald Dan, Laboratory of Hydraulics and Control of Water, University of Abomey-Calavi, Calavi, Benin
Daouda Mama, Laboratory of Applied Hydrology, University of Abomey-Calavi, Calavi, Benin
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Abstract
Due to its location and multiple uses, Nokoué Lake, is subject to multiple attacks impairing water quality. The present work aims at assessing the water quality index (WQI) on this surface water, by monitoring twenty sampling locations for a period of rainy and dry season in 2016. For calculating the WQI, seven parameters, namely, pH, dissolved oxygen, turbidity, electrical conductivity, Biochemical oxygen demand, nitrite and nitrate were considered. Statistical tests and conclusions were made on the basis of a multiparametric model. Thus, to evaluate significant differences among the sites for all water quality variables, data was analyzed using one-way analysis of variance (ANOVA) at 0.05% level of significance. Multivariate analysis of the water quality data sets was performed using Hierarchical Cluster analysis (HCA) and Principal Component Analysis (PCA). The results showed that WQI values ranged from 93.96 (good water quality) in rainy season to 100.73 (bad water quality) in dry season. The values of physicochemical parameters significantly increased from rainy to dry season. Water quality of Nokoué Lake can be categorized into "Good water" during the rainy season to "Poor water" during the dry season. Application of the WQI is suggested as a very helpful tool that enables decision makers to evaluate water quality.
Keywords
Lake, Water Quality, WQI, Multivariate Analysis
To cite this article
Josué Esdras Babadjidé Zandagba, Firmin Mahoutin Adandedji, Bruno Enagnon Lokonon, Amédée Chabi, Oswald Dan, Daouda Mama, Application Use of Water Quality Index (WQI) and Multivariate Analysis for Nokoué Lake Water Quality Assessment, American Journal of Environmental Science and Engineering. Vol. 1, No. 4, 2017, pp. 117-127. doi: 10.11648/j.ajese.20170104.13
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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