Data driven statistical model for manganese concentration prediction in drinking water reservoirs

TL;DRAbstract

Continuously monitoring and managing manganese (Mn) concentrations in drinking water supply reservoirs are paramount for water suppliers, as high concentrations create discoloration of potable water supplied to the customers. Traditional Mn management approaches typically involve manual sampling and laboratory testing of raw water from supply reservoirs on a regular basis (typically weekly) and then treatment decisions are made based on the soluble Mn level exceeding an allowable threshold level; for the reservoir in this study the threshold level for treatment is 0.02 mg/L. Often Mn testing is conducted all year, but in the sub-tropical regions, such as the Gold Coast, Australia, where the reservoir of interest for this study (Hinze Dam) is located, high Mn concentrations only occur for a brief period during the dam destratification process which occurs at the beginning of winter. High concentrations of Mn, resulting from the destratification event, in water entering the water treatme

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