Orthogonal Experiments on Reclaimed Water Treatment by Coagulation Sedimentation and Constructed Wetland in Green Building

Orthogonal experiments were carried out for high grade gray water treated by combinational technique of coagulation sedimentation and constructed wetland. With the orthogonal experiment of coagulation sedimentation pre treatment, it is shown that the regression equations relating to effluent BOD5, cubage loads(Nv), temperature(T) and PAC addition dosage(ρ) is BOD5=2.05Nv-0.41T-0.82ρ+38.9. For the orthogonal experiment of constructed wetland post treatment, it is shown that the regression equations relating to effluent BOD5, cubage loads(NA), and temperature(T) is BOD5=1 190 NA-0.32T+12.2. Based on the two orthogonal regression equations, combined with reclaimed water quantity requirements in different seasons in buildings, an investment optimization model of combinational technique was established. According to the model, the reasonable scale of the reclaimed water treatment systems can be determined and treatment efficacy can be well predicted.     

Application of Artificial Neural Network in Modeling Paint Waste Water Treated by Coagulation Oxidation Process

An artificial neural network (ANN) model was established based on data of paint waste water treated by coagulation oxidation process, using the improved back propagation algorithm. The model was then used to fit and predict some experimental data. The results indicated that the errors between computed data and experimental data were much small. Furthermore, the ANN model could correctly reflect the mechanism of some factors which affected the efficiency of paint waste water treatment.