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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)
机构地区:[1]合肥工业大学资源与环境工程学院,合肥230009 [2]合肥工业大学工业与装备技术研究院,合肥230009
出 处:《工业用水与废水》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)。
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.
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
分 类 号:X703.1[环境科学与工程—环境工程]
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