摘要
将聚硅酸铝铁(PASF)、聚丙烯酰胺(PAM)、纳米零价铁(nZVI)以及活性炭等材料复配制备复合混凝剂。在单因素实验基础上,以处理后海上生产返排液水质浊度和化学需氧量(COD)含量为评价指标,探究m(PSAF)/m(PAM)、复配温度以及复配熟化时间对复合混凝剂制备的影响。采用Box-Behnken响应曲面法,以COD含量为响应值建立数学模型,优化复配制备工艺参数,结果表明:数学模型显著,拟合度良好,可以用来分析及预测复合混凝剂的性能;最佳工艺参数为m(PSAF)/m(PAM)=14.63、复配温度=70℃和复配熟化时间=3.02h;验证结果COD含量为756.54mg/L,实验值与预测值偏差仅为2.14%。现场实验表明该复合混凝剂可以将海上生产返排液水质浊度、COD含量、含油量以及氨氮含量分别降低96.74%、94.35%、75.77%和74.27%,达到了进入生化处理系统的要求。
The composite flocculant was prepared by compounding polysilicate aluminum iron,polyacrylamide,nano zero valent iron and activated carbon.On the basis of single factor experiment,the influences of m(PSAF)/m(PAM),compound temperature and compound curing time on the preparation of composite flocculant were investigated with turbidity and COD of treated effluent as evaluation indexes.Box Behnken response surface methodology was used to establish a mathematical model with COD content as the response value to optimize the preparation parameters.The results showed that the mathematical model was significant and the fitting degree was good,which could be used to analyze and predict the performance of the composite flocculant.The optimal process parameters were m(PSAF)/m(PAM)=14.63,compound temperature=70℃and compound curing time=3.02h.The COD content was 756.54mg/L The deviation between the experimental value and the predicted value was 2.14%.Field experiments show that the composite flocculant can reduce turbidity,COD,oil content and ammonia nitrogen content by 96.74%,94.35%,75.77%and 74.27%respectively,meeting the requirements of entering the biochemical treatment system.
作者
贺远鹏
HE Yuanpeng(China National Offshore Oil Corp.Energy Technology&Services Limited,Safety&Environmental Protection Branch,Tianjin 300452,China)
出处
《化工进展》
EI
CAS
CSCD
北大核心
2021年第S01期439-445,共7页
Chemical Industry and Engineering Progress
关键词
数学模拟
优化
混凝
化学需氧量
浊度
mathematical modeling
optimization
coagulation
COD
turbidity
