Optimizing operation rules of waterworks by analysing probability of plant data in north China

Optimizing the water treatment system can both ensure satisfactory finished water quality and reduce the operating costs of water treatment. It is difficult to optimize a water treatment system in winter in north China, since the characteristics of raw water are very complicated and change widely by seasons. In this paper, a systematic study of optimizing operating rules of water treatment plants in north China is presented, with the method of analysing a large number of plant data from one northern waterworks. The plant data collected from this water plant is studied with statistic methods, divided into 10 groups and statistical probability of the plant data calculated to determine the influence of optimum operating conditions. From this study, it was found that two direction figures of coagulant dosage and optimum settled water turbidity were determined. According to these two figures, the practice aim of optimum settled water turbidity, which will lead to qualified finished water and low operating costs can be ensured through the direction figure of the optimum settled water turbidity, and then the dosage of coagulation chemicals and coagulant aids will be decided by the direction figure of the coagulant dosage. The results demonstrate that the method can be applied for an estimate quantitative analyses of optimum conditions of a water treatment system.