Prediction models evaluating the production of trichloroacetaldehyde, a by-product of chlorination disinfection of raw water in northeast China.

Raw water after chlorination disinfection will produce a variety of chlorinating organic compounds, known as disinfection by-products (DBPs). After investigation, the main DBPs exceeding the standard in northeast China is trichloroacetaldehyde (CH) stipulated in the standards for drinking water quality (GB5749-2006). However, the scale of water treatment plants in such areas is mostly smaller than 5 × 104 t/d and due to the problems of testing capacity and cost, the detection of CH cannot be realized. Once the raw water quality changes, the safety of the factory water quality cannot be guaranteed. In this paper, chlorination experiments were carried out on the raw water of the Mopanshan Reservoir in cold areas of northeast China, which contained a high level of natural organic matter. Multiple linear regression analysis was used to conduct statistical analysis on the results, and the formation model of CH based on water temperature (T), pH, turbidity, chlorine dose (Cl) and permanganate index was established. It can provide a good way to predict the formation of CH in water treatment plants with similar raw water characteristics and disinfection methods in cold areas of northeast China. [ABSTRACT FROM AUTHOR]