Spatial and Temporal Water Quality Monitoring in the Crocodile River of Mpumalanga, South Africa

Author:

Madonsela Benett Siyabonga1ORCID,Malakane Karabo Concelia2,Maphanga Thabang1ORCID,Phungela Terry Takalani1ORCID,Gqomfa Babalwa1,Grangxabe Xolisiwe Sinalo1,Chidi Boredi Silas3ORCID,Ntuli Siyabulela Sboniso4,Nyawo Thembinkosi Goodman5

Affiliation:

1. Department of Environmental and Occupational Studies, Faculty of Applied Sciences, Cape Peninsula University of Technology, Corner of Hanover and Tennant Street, Zonnebloem, Cape Town 8000, South Africa

2. Department of Biodiversity, University of Limpopo, South Africa Private Bag X1106, Sovenga 0727, South Africa

3. Bioresource Engineering Research Group (BioERG), Department of Biotechnology and Consumer Science, Faculty of Applied Sciences, Cape Peninsula University of Technology, Corner of Hanover and Tennant Street, Zonnebloem, Cape Town 8000, South Africa

4. Department of Nature Conservation, Faculty of Natural Sciences, Mangosuthu University of Technology, 511 Griffiths Mxenge Highway, Umlazi 4031, South Africa

5. Department of Mathematics and Physics, Faculty of Applied Sciences, Cape Peninsula University of Technology, Corner of Hanover and Tennant Street, Zonnebloem, Cape Town 8000, South Africa

Abstract

Water quality problems are a major challenge that humans encounter in the 21st Century. Water security presents a pressing concern in South Africa due to persistent difficulties in ensuring water availability, accessibility, and quality. Given the numerous activities that are taking place adjacent to riverbanks, there has been a decline in water quality. This study determined the state of the Crocodile River’s intermediate water quality and assessed the effects of various human-induced activities. Water samples were collected during 2016–2023 in different sites within the Crocodile River, and physicochemical parameters were analysed in an accredited laboratory. The Python package Seaborn was used for statistical analysis of the data to provide visualizations and data variations. Overall, the results show that elevated concentrations of electrical conductivity (EC) and sulphate (SO42−) were recorded in the Crocodile River. The presence of elevated EC levels in R571 Bridge exceeded 133.90 µs/cm between 2020 and 2021, whilst the highest concentration levels (114 mg/L) for SO42− were recorded in Malelane in the year 2020. The elevated concentrations of concern were recorded during the dry season (winter) and the wet season (spring). Overall, the comparisons of the spatiotemporal concentration indicate that the water quality parameters fluctuate over time. Moreover, the monitoring practice of detecting the water quality change over time is also fundamental for providing valuable information necessary for the management of integrated water resources.

Publisher

MDPI AG

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