Wetland encroachment due to agricultural land use practices (LUPs) adversely affects water quality in wetlands mainly through agricultural runoff. This study was conducted in Lubigi wetland in Uganda to (1) determine the effect of the agricultural LUPs on water quality and (2) understand the relationships between different water quality indicators and different agricultural LUPs existing in the wetland. The eight LUPs included in this study were perennial crops i.e. banana farming and sugarcane farming, annual crops i.e. maize farming and tomato farming, livestock farming which included a mixture of cows, goats, and sheep, undisturbed dense natural vegetation, reference wetland and the river. Water samples collected from the different LUPs were analyzed in the laboratory for selected physicochemical and biological water quality parameters. The water samples were analyzed for a variety of properties, including pH, electrical conductivity, total hardness, Ca-hardness, Mg- hardness, and concentrations of dissolved oxygen, calcium, magnesium, fluoride, total nitrogen, nitrates, ammonium, phosphates, potassium, total coliform, and Escherichia coli (E. coli), chemical oxygen demand, biological oxygen demand, total organic carbon, total dissolved solids, chlorides, sulphates, total phosphorus, and turbidity levels. The results suggested that the different LUPs influenced several water quality parameters. Dissolved oxygen was lowest in banana fields and the river at 2.57 mg/L and 3.44 mg/L respectively than other LUPs which limits survival of aquatic organisms. Biological oxygen demand, chemical oxygen demand and total organic carbon were high in the river water with values = 69.67 mg/L, 351.67 mg/L, 117.33 mg/L respectively indicating high organic pollution. We detected nutrient pollution in water from tomato and sugarcane fields which showed high concentrations of nitrates. The concentration of ammonium in river water (10.40 mg/L) was high, indicating nitrogen contamination. In all LUPs, Escherichia coli and total coliforms had high counts exceeding 2000 CFU/100mL which indicated elevated microbial pollution from livestock waste and agricultural runoff. Cluster analysis revealed distinct clusters influenced by varying water quality parameters. These findings show that agricultural LUPs in Lubigi wetland are significantly contributing to water pollution through microbial contamination, nutrient, and organic matter accumulation, which increases the potential for eutrophication and renders the water unsafe for drinking and domestic use. Implementing best management practices (BMPs) is essential for the sustainable use and management of the wetland. Show less

Access to potable and quality water in most rural communities is low such that over 2.2 billion people worldwide are negatively affected. The increasing population in Fiapre and the inconsistent water supply by the Ghana Water Company Limited (GWCL) have forced most residents to resort to alternative groundwater sources such as boreholes, wells, etc. Yet, many residents use these sources of water unaware of the quality of the water and its potential health implications. This study assessed drinking water quality in Fiapre by calculating its Weight Average Water Quality Index (WAWQI) and investigating potential risk factors associated with contamination through a cross-sectional study and laboratory analysis of various physicochemical and microbiological water quality parameters. WAWQI was used to compute parameters using 10 factors including pH, electrical conductivity, temperature, TDS, phosphate, chloride, total hardness, nitrate, alkalinity, and faecal coliform. The findings revealed that the pH level of water, phosphate concentration, and fecal coliform count surpassed the recommended thresholds set by the World Health Organization (WHO) for safe drinking water. Although levels of electrical conductivity, TDS, nitrate, total hardness, and chlorine kept changing from one water source to another, the difference was not significant apart from phosphate and fecal coliform which shows a significant difference between the sachet water sources and other water sources (P<0.05). The study outcomes demonstrated that the overall water quality is predominantly categorized as good to fairly good, with the highest Water Quality Index (WQI) value reaching 87.84% and the lowest recorded at 54.81%. Therefore, to improve the water quality in the municipality, local management agencies should pay attention to the microbiological quality of the water sources. The study recommends regular handwashing practices, hygienic surroundings of the water source, and drinking water treatment to reduce the possible risk factors associated with the contamination of the water sources. Show less