A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in fulfillment of the requirements for the degree of Masters of Science in Engineering, 2019 / Water is the basic necessity for all living organisms. About, five million people specifically children are dying each year due to dehydration or use of toxin infected water around the world. In South Africa approximately seventeen percent of the population do not have access to safe drinking water. Considering all of these challenges it is evident that monitoring the quality of water is important for providing safe and clean water. Several researchers have shown that the parameters related to the quality of drinking water can be monitored effectively in the field. To accurately determine the quality of water it needs to be tested for many parameters. Measuring all possible parameters can be a daunting task. It is very costly and time consuming at the same time. There is also research available in which researchers have proposed remote monitoring of water quality based on fewer parameters in a given water sample to conclude whether or not the given sample was safe for drinking. This has met with limited success. There is however very limited or no scientific evidence available to validate the effectiveness of the selected fewer parameters to determine the quality of drinking water. The research presented in this dissertation proposes a list of fewer parameters that are monitored to determine the quality of water. The effectiveness of those parameters in determining the quality of drinking water has been verified by conducting a detailed analysis on a number of water samples in a laboratory environment. The research has also proposed a system that is capable of monitoring those parameters remotely. This enables the water supplying authorities to determine the basic quality of water without testing it in the laboratory environment resulting in a decreased time and lower cost. / TL (2020)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/29432 |
| Date | January 2019 |
| Creators | Gulzar, Iqra |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | Online resource (77 leaves), application/pdf |
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