Assessment of water quality and identification of pollutants flowing into river musa using principal component analysis

Abstract

Available evidence shows that rivers in any water shed area acts as a carrier of various pollutants and affect water quality for various purposes. The main aim of this study was to assess and identify pollutants flowing into River Musa in Bida for irrigaton purpose. Canadian Council Water Quality index (CCWQI) and Principal Component Analysis (PCA) were used. Water quality data were collected at different five stations along the river in 2018 during rainy and dry seasons. Ten water quality parameters (temperature, PH, EC, Mg, Na, Iron, Mn, Calcium, Potassium and SAR) were determined in five stations for assessing annual water quality index.Annual average water quality index at five locations are (74.47,72.85, 64.69,47.02 and 51,56). The results showed that three location are marginal and the remaining of the two are fair.The PCA was used to identify three major pollutants flowing to the river to be industrial, municipal and erosion. The WQI of the river is marginal and the implication is that the river is thus poised threat to high yielding results.

Evaluating Surface Water Quality in a Coastal Province of Vietnamese Mekong Delta Using Water Quality Index and Statistical Methods

“…Thus, the surface water in the province is affected by many sources such as domestic wastewater, wastewater from industrial and agricultural activities, salinity and rainwater runoff leading to suspended matter. The study of [35,36] also revealed agricultural activities, erosion, domestic and industrial discharges are fundamental causes of water pollution. Discriminant analysis (DA) was applied to determine the level of discriminant functions (DFs) and the most important parameters affecting the change of water quality between dry season, seasonal change and rainy season as shown in Table 4.…”