【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%。更多还原

【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.更多还原