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Proc. IAHS, 378, 85-92, 2018
https://doi.org/10.5194/piahs-378-85-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Post-conference publication
29 May 2018
Near real time water quality monitoring of Chivero and Manyame lakes of Zimbabwe
Ronald Muchini1, Webster Gumindoga2, Sydney Togarepi1, Tarirai Pinias Masarira2, and Timothy Dube3 1University of Zimbabwe, Dept. of Geoinformatics and Surveying, Box MP 167, Mt Pleasant Harare, Zimbabwe
2University of Zimbabwe, Dept. of Civil Engineering, Box MP 167, Mt Pleasant, Harare, Zimbabwe
3Dept. of Earth Sciences, University of the Western Cape, Private Bag X17, Bellville, South Africa
Abstract. Zimbabwe's water resources are under pressure from both point and non-point sources of pollution hence the need for regular and synoptic assessment. In-situ and laboratory based methods of water quality monitoring are point based and do not provide a synoptic coverage of the lakes. This paper presents novel methods for retrieving water quality parameters in Chivero and Manyame lakes, Zimbabwe, from remotely sensed imagery. Remotely sensed derived water quality parameters are further validated using in-situ data. It also presents an application for automated retrieval of those parameters developed in VB6, as well as a web portal for disseminating the water quality information to relevant stakeholders. The web portal is developed, using Geoserver, open layers and HTML. Results show the spatial variation of water quality and an automated remote sensing and GIS system with a web front end to disseminate water quality information.
Citation: Muchini, R., Gumindoga, W., Togarepi, S., Masarira, T. P., and Dube, T.: Near real time water quality monitoring of Chivero and Manyame lakes of Zimbabwe, Proc. IAHS, 378, 85-92, https://doi.org/10.5194/piahs-378-85-2018, 2018.
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This paper presents an automated computer based system for determining water quality and pollution. The system results are presented in the form of a map showing the status of water at each and every point in the lake by the click of a button. A case study of Lakes Chivero and Manyame of Zimbabwe.
This paper presents an automated computer based system for determining water quality and...
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