The use of surrogate chemical and microbiological factors to predict the chloroamine demand

In collaboration with SA Water, Water Corporation (Western Australia) and Central Highlands Water, the researcher from PARTCAT group develop a chloroamine demand model which could be useful for both drinking water quality management and treatment plant operational management. The model which is based on the measure of microbiological decay of chloroamine (Fm), specific ultraviolet absorbance (SUVA) of the water samples, time and initial chloroamine residual from 2-day chloroamine decay test, was able to predict the chloroamine demand of various water samples from different sources: Murray River in SA, Mundaring Weir in WA and Maryborough in Victoria, Australia.

The result from this study has a potential to be used in strategy to reduce chloroamine consumption and improve the disinfection process.

Read full article in J.Environ. Science, 2017 (in press), doi:10.1016/j.jes.2017.01.010

To follow our work on chloroamine decay and nitrification, check out: Research gate website

 

 

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Using chloroamine decay (Fm), organic character (SUVA) and time, the developed model successfully predict the chloroamine demand for various water samples

Using chloroamine decay (Fm), organic character (SUVA) and time, the developed model successfully predict the chloroamine demand for various water samples