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磷酸铵镁技术影响因素的优化
引用本文:汤琪,罗固源,汤锦.磷酸铵镁技术影响因素的优化[J].重庆交通大学学报(自然科学版),2012(1):168-172.
作者姓名:汤琪  罗固源  汤锦
作者单位:重庆交通大学理学院;重庆大学城市建设与环境工程学院
基金项目:国家自然科学基金项目(50378095);重庆交通大学博士基金项目(2009kjc-015)
摘    要:通过正交实验得出影响氨氮和磷酸盐去除率因素的主次顺序为:浓度pHMg∶NP∶N反应时间。通过一次回归正交实验得出残磷量和残氮量的回归方程为:y(残磷量)=-3 041.57-2.76z1+2 307.2z2+3 075.5z3-2 310z2z3(其中z1=pH,z2=Mg∶N,z3=P∶N),y(残氮量)=1 104.84-50.76z1-45.5z2-515.5z3,回归方程高度显著。在氨氮浓度为0.1 mol/L(1 400 mg/L)及磷酸盐为相应浓度时,在兼顾处理出水的含盐量、残磷量和残氮量尽量低的前提下,最佳的实验条件为:pH=9.5,Mg∶N=1.2,P∶N=1.03,反应时间为30 min,搅拌速度为200 r/min。在上述实验条件下PO43--P的去除率为99.73%,处理出水中的PO43--P含量为8.66 mg/L,NH3-N的去除率为98.83%,NH3-N含量为16.45 mg/L。

关 键 词:磷酸铵镁  脱氮除磷  影响因素  一次回归正交实验

Optimization of Effect Factors on Technology of Magnesium Ammonium Phosphate
Tang Qi,Luo Guyuan,Tang Jin.Optimization of Effect Factors on Technology of Magnesium Ammonium Phosphate[J].Journal of Chongqing Jiaotong University,2012(1):168-172.
Authors:Tang Qi  Luo Guyuan  Tang Jin
Institution:1.School of Science,Chongqing Jiaotong University,Chongqing 400074,China; 2.College of Urban Construction & Environmental Engineering,Chongqing University,Chongqing 400030,China)
Abstract:The sequence of factors affecting the removal ratio of NH3-N and PO43—-P is as follows: concentration>pH> Mg: N >P: N> reaction time,through orthogonal experiment.The regress equation of the quantity of PO43—-P and NH3-N in the treated water is as follows: y(PO43—-P)=-3 041.57-2.76z1+2 307.2z2+3 075.5z3-2 310z2z3(z1=pH,z2=Mg: N,z3=P: N),y(NH3-N)= 1 104.84-50.76z1-45.5z2-515.5z3,through once regress orthogonal experiment.The regress equation has high notability.When NH3-N is 1400 mg/L,the best treatment condition is as follows: pH=9.5,Mg: N=1.2,P: N=1.03,when reaction time is 30min,and stirring speed is 200r/min.On these treatment conditions,the removal ratio of PO43— is 99.73%;the quantity of PO43—-P in the treated water is 8.66 mg/L;the removal ratio of NH3-N is 98.83%;the quantity of NH3-N in the treated water is 16.45 mg/L.
Keywords:magnesium ammonium phosphate  removal of nitrogen and phosphorus  effect factors  linear regression orthogonal experiment
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