Abstract:The potential benefits of sludge dewaterability under surfactant-conditioning (1227) with CaO, PAFC were investigated. Water content of dewatered sludge (WC) and CST were regarded as evaluation index, and single factor experiment was conducted to obtain optimum range of reagent dosage. Then quadratic polynomial prediction models of WC and CST reduction efficiency were established by Box-Behnken experimental design based on response surface methodology (RSM), and optimum parameters of co-conditioning were obtained. The results demonstrated that co-conditioning could significantly improve sludge dewaterability. The optimum values for CaO, PAFC and 1227 were 42.00, 60.40 and 80.89mg/g, respectively, at which WC of (68.30±0.26)% and the CST reduction efficiency of (87.30±0.32)% could be achieved. Meanwhile, verifying experiment was conducted under the optimal conditions and experimental results coincided with model predictions. Thus the optimum parameters obtained from response surface methodology were accurate and reliable, and have certain directive meaning for related sludge treatment and condition optimization.
邢奕, 王志强, 洪晨, 司艳晓, 刘敏, 李洋, 田星强. 基于RSM模型对污泥联合调理的参数优化[J]. 中国环境科学, 2014, 34(11): 2866-2873.
XING Yi, WANG Zhi-Qiang, HONG Chen, SI Yan-Xiao, LIU Min, LI Yang, TIAN Xing-Qiang. Parameter optimization of sludge co-conditioning based on RSM model. CHINA ENVIRONMENTAL SCIENCECE, 2014, 34(11): 2866-2873.