Ozonation Microbubble Technology-assisted Sludge Treatment Effect

This paper is to participate in the provincial of Qinghai science and Technology Department Project- "microbubble technology in the use of urban sewage sludge disposal", the research object is the first sewage treatment plant in Xining city sewage sludge. By optimizing the experimental design of micro bubble technology,the optimal processing conditions of sludge treatment are sought to achieve the purpose of reduction, harmless and resource utilization. Experiments show that the best conditions: the reactor pressure 0.3MPA, ozone input of 70%, the pressure of 90 seconds, 5 times the cycle. At present, there is no relevant reports in China, the application of microbubble technology for the disposal of municipal sludge, there is a certain social effect and application value. The main research results are as follows:1. microbubble technique sludge processing and analysis of factors to determine the main factors and levels. The main factors include: the amount of ozone added,reactor pressure, dwell time, number of cycles;2. The orthogonal experimental design and response surface methodology were designed to optimize the microbubble technique sludge treatment process to determine the optimal experimental conditions.3. microbubble technology experimental treatment sludge, according to the indicators before and after the change process analysis, sludge treatment effect:substantially eliminate foul odor sludge, sludge average weight loss of 16.7%,reducing the heavy metal content in varying degrees, microbubble technology Phosphorus and Nitrogen removal is superior to the traditional method has been verified.4. sludge microbubble technology processed organic matter content of the dependent variable, microbubble technology factors affecting the modeling and analysis as independent variables, the regression equation is as follows:Y=39.94+1.74A+1.47B+0.98C+1.23D-0.087AB-0.31AC-1.49 AD + 0.35BC-1.09 BD + 2.95CD-1.78A2-5.64B2-4.02C2-2.89D2Correction coefficient of determination of the model Adj R2 = 0.869, indicating that can explain the change in value of 86.9% response; the model R2 = 0.9485,indicating that fit well, you can use this model to predict the sludge treatment situation well.