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曲面优化高铁酸钾与活性炭协同修复黑臭水体
Surface Optimization of Potassium Ferrate Combined with Activated Carbon in Treatment of Black-odor Water Body
【摘要】 以某小型封闭黑臭水体为对象,研究了高铁酸钾(K2FeO4)与粒状活性炭(GAC)协同强化混凝修复黑臭水体的最佳工艺参数和处理效果。采用响应曲面法建立了以氨氮(NH3-N)和化学需氧量(COD)的去除率为响应值的二次回归模型,对两者协同作用时K2FeO4投加量、预氧化时间、GAC的投加量和pH值4个影响因子进行优化。结果表明:回归模型极其显著,对NH3-N去除效果的影响显著程度排序为:K2FeO4投加量> pH> GAC投加量> K2FeO4预氧化时间;对COD去除效果的影响显著程度排序:GAC投加量> K2FeO4投加量> pH> K2FeO4预氧化时间。K2FeO4最佳投加量1. 036 mg/L,最佳预氧化时间10. 159 min,GAC最佳投加量16. 152 mg/L,最佳pH值7. 362,此时NH3-N和COD的去除率分别达到了85. 500%和69. 262%。模型预测值与实验验证结果的实际误差小于5%。
【Abstract】 Taking a small closed black-odor water body as the research object,the optimum technological parameters and treatment effect of synergistic restoration with potassium ferrate( K2FeO4) and granular activated carbon( GAC) in enhanced coagulation treatment of black-odor water body were studied. The response surface methodology was used to establish the quadratic regression models with the removal rate of NH3-N and COD as response values. The four influence factors of K2FeO4 dosage,pre-oxidation time,GAC dosage and pH value were optimized. The results show that the regression models are extremely significant. The order of influence on NH3-N removal efficiency is K2FeO4 dosage >pH > GAC dosage > pre-oxidation time of K2FeO4; The order of influence on COD removal efficiency is GAC dosage >K2FeO4 dosage > pH > K2FeO4 pre-oxidation time. The optimum dosage of K2FeO4 is 1. 036 mg/L,the optimum preoxidation time of K2FeO4 is 10. 159 min,the optimum dosage of GAC is 16. 152 mg/L,and the optimum p H value is7. 362,the removal rates of NH3-N and COD are 85. 500% and 69. 262%,respectively. The actual error between the experimental results and the predicted values of the models is less than 5%,which indicates that the models can predict well the actual situation of the combined use of K2FeO4 and GAC in the treatment of black-odor water body.
【Key words】 black-odor water body; response surface methodology(RSM); potassium ferrate; granular activated carbon; enhanced coagulation;
- 【文献出处】 实验室研究与探索 ,Research and Exploration in Laboratory , 编辑部邮箱 ,2019年09期
- 【分类号】X52
- 【被引频次】1
- 【下载频次】164