Abstract
Abstract Water quality affected by polluted surface runoff from agricultural settings, storm-water as well as sewage from urban locations, and mining in the North West Province are reasons for concern. Similar situations may exist in areas elsewhere that have similar water issues and impacts. This study aimed to evaluate the water quality of the Loopspruit River by analysing the physico-chemical and microbiological parameters of the water. Bacterial diversity was the highest in less polluted areas of the Loopspruit River. Dominating at all the sites tested were Proteobacteria, followed by Bacteroidetes, Cyanobacteria, Actinobacteria and Verrucomicrobia. Predicted metagenome analysis revealed a correlation between the physico-chemical parameters and observed taxonomic units (OTU). Temperature had a negative correlation with Patescibacteria, Nanoarchaeaeota and Firmicutes (p < 0.05). The negative correlation was strongest with Patescibacteria. Sulphate had a strong correlation with Fusobacteria (p < 0.05). There were was also evidence of faecal and agricultural pollution. Analysing and visually representing the water quality of the Loopspruit River demonstrated the value of combining physico-chemical, microbiology and geospatial data for an overview of understanding the potential environmental health risks. Such data could potentially be used for management strategies.
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