Spatial and Seasonal Variation of Water Quality in Savanna River System

Gaddafi Adamu Aliyu, Shehu Zailani, Kor Daniel Akoha

Abstract


Using fifteen sampling stations, study was conducted to assessed the water quality parameters of samples collected from River Galma, Zaria, Northwestern Nigeria, in wet and dry seasons. This was achieved using analysis of independent samples test (t-test), Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) techniques. Analysis of the t-test results shows that, out of the 18 water quality parameters analyzed, 9 parameters were statistically significant (p< 0.05), while the remaining parameters were statistically significant at p> 0.05 for both seasons and all the concentration of the water quality parameters results increases during dry season, which maybe attributed   to water evaporation and absence of rainfall. HCA identified 4 and 3 different groups in wet and dry seasons from 18 water quality parameters, indicates that the variation in water quality are due to natural and anthropogenic processes. Two components resulted from PCA analysis from both WS and DS. PCA explained 79.33% of the total variance in the variables which are included in the component in WS, and 80.09% of the total variance in the variables which are included in the component in DS, in which the major sources of pollution are related to agriculture and other human activities. From this study it shows that application of environmetric multivariate techniques are significant to environmental management, and the result will help stakeholders in decision making towards sustainable management support of the river system.


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