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%。
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.
作者
樊开青
徐炎华
朱晓彦
黄滔
FAN Kaiqing;XU Yanhua;ZHU Xiaoyan;HUANG Tao(School of Agronomy and Horticulture,Jiangsu Vocational College of Agriculture and Forestry,Jurong 212400,Jiangsu,China;College of Environment,Nanjing University of Technology,Nanjing 210009,China)
出处
《实验室研究与探索》
CAS
北大核心
2019年第9期67-72,155,共7页
Research and Exploration In Laboratory
基金
国家十三五重点研发课题(2017YFB0602500)
江苏省镇江市重点研发计划(SH2018022)
江苏省高校自然科学研究计划(16KJA610002)
关键词
黑臭水体
响应曲面法
高铁酸钾
粒状活性炭
强化混凝
black-odor water body
response surface methodology(RSM)
potassium ferrate
granular activated carbon
enhanced coagulation
