摘要
采用渐进冷冻浓缩法处理染料化工废水,在单因素试验的基础上,依据响应面分析法(RSM)的中心组合设计(BBD)原理,探究了冷却剂温度、搅拌速率和冷冻时间对盐和COD去除率的交互作用,并建立了多元线性回归预测模型。结果表明:在模型分析最佳试验条件(冷却剂温度为-7.7℃,搅拌速率为320 r/min,冷冻时间为55 min)下,盐和COD去除率的预测值分别为72.24%和72.18%。在上述最佳条件下试验测得的盐和COD去除率分别为70.40%和69.90%,与模型预测值的相对偏差均在5%以内,验证了回归模型的准确性和实用性。
Progressive freezing and concentration method was used to treat dye chemical wastewater,based on single factor experiment,and according to the principle of Box-Behnken Design(BBD)of response surface methodology(RSM),the interactions of coolant temperature,stirring rate and freezing time on salt and COD removal were investigated and a multiple linear regression prediction model was developed.The optimal experimental condition was determined through the model analysis,which was as follows:the coolant temperature was-7.7℃,the stirring speed was 320 r/min,and the freezing time was 55 min.Under the above condition,the predicted values of salt and COD removal were 72.24%and 72.18%respectively,while the actual removal rates gotten from the experiment were 70.40% and 69.90%respectively,and the relative deviations from the predicted values of the model were within 5%,which verified the accuracy and practicability of the regression model.
作者
张钰
吕新新
李志豪
刘会来
陈星
ZHANG Yu;LV Xinxin;LI Zhihao;LIU Huilai;CHEN Xing(School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China;Institute of Industry and Equipment Technology,Hefei University of Technology,Hefei 230009,China)
出处
《工业用水与废水》
CAS
2024年第3期18-24,共7页
Industrial Water & Wastewater
基金
国家重点研发计划项目(2019YFC0408500)
安徽省科技重大专项项目(202003a07020004)。
关键词
渐进冷冻浓缩
染料化工废水
去除率
响应面法
冷却剂温度
搅拌速率
冷冻时间
progressive freezing and concentration
dye chemical wastewater
removal rate
response surface methodology
coolant temperature
stirring rate
freezing time
作者简介
张钰(1998-),女,山东枣庄人,硕士研究生,主要研究方向为水处理技术,(电子信箱)zhangyu9632@163.com;通讯作者:陈星(1981-),男,安徽安庆人,研究员,博士,主要研究方向为水与废水物化深度处理,(电子信箱)xingchen@hfut.edu.cn。
