Probabilistic techniques and particle removal in the description of South African potable water treatment plant performance.

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dc.contributor.author Ceronio, Anthony Dean
dc.date.accessioned 2008-05-27T13:19:27Z
dc.date.available 2008-05-27T13:19:27Z
dc.date.issued 2008-05-27T13:19:27Z
dc.identifier.uri http://hdl.handle.net/10210/466
dc.description.abstract The use of particle counters in potable water treatment is achieving higher levels of acceptance on an ongoing basis. This is due to its superior sensitivity in terms of water clarity determination in comparison to turbidity meters. However, the ability of the particle counter to distinguish between various particle sizes, arguably its biggest advantage over turbidity measurement, is not being utilised fully, due to the large volumes of data generated and the amount of post-measurement data processing required to unlock some of the information. In many cases it is being used purely as a substitute or parallel measurement for turbidity. Furthermore, in the South African context, where data is being generated, the particle count data holds little value as it cannot be compared to generally available data sets to reveal the entire message contained in the count. No record of counts is available to rate new measurements against. en
dc.description.sponsorship Prof. J. Haarhoff en
dc.language.iso en en
dc.subject water treatment plants en
dc.subject particle counting (water treatment plants) en
dc.subject water purification en
dc.subject particle removal en
dc.subject Monte Carlo method en
dc.title Probabilistic techniques and particle removal in the description of South African potable water treatment plant performance. en
dc.type Thesis en

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