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作 者:李晓航 王刚[1] 姜盛基 LI Xiaohang;WANG Gang;JIANG Shengji(School of Environmental and Municipal Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
机构地区:[1]兰州交通大学环境与市政工程学院,兰州730070
出 处:《给水排水》2024年第S1期40-44,共5页Water & Wastewater Engineering
基 金:国家自然科学基金(51368030)
摘 要:为优化重金属絮凝剂巯基乙酰化胺甲基聚丙烯酰胺(MAAPAM)去除水中Cd(Ⅱ)的絮凝条件,采用响应面法中的中心复合试验设计(CCD),以Cd(Ⅱ)浓度(ρCd(Ⅱ))、水样pH、MAAPAM投加量与Cd(Ⅱ)浓度比值(ρMAAPAM:ρCd(Ⅱ))为自变量,Cd(Ⅱ)去除率为响应值建立回归模型,对模型进行了方差分析和响应面分析。结果表明,建立的回归模型失拟项不显著而模型显著,拟合性较好;各因素以及因素之间的交互作用对MAAPAM去除Cd(Ⅱ)均有显著影响。响应面法获得MAAPAM除Cd(Ⅱ)的最优絮凝条件:ρCd(Ⅱ)为69.5 mg/L、水样pH为6.4、ρMAAPAM:ρCd(Ⅱ)为2.4∶1,该条件下MAAPAM对Cd(Ⅱ)去除率试验值(98.56%)与模型预测值(99.61%)接近,模型合理可靠。In order to optimize the flocculation conditions for removing Cd(Ⅱ)in water by mercaptoacetyl aminomethy-polyacrylamide(MAAPAM)as heavy metal flocculant,the central composite design(CCD)of response surface methodology was employed with the flocculation experiment.Cd(Ⅱ)concentration(ρCd(Ⅱ)),pH of water sample,and the ratio of MAAPAM dosage to Cd(Ⅱ)concentration(ρMAAPAM:ρCd(Ⅱ))were used as independent variables,and the Cd(Ⅱ)removal rate was the response value to fit a regression model,and the model was analyzed by variance and response surface.The results showed that the established model was fit well because the lack of fit was not significant,but the model was significant.ρCd(Ⅱ),ρMAAPAM:ρCd(Ⅱ),pH of water sample,and the interaction between them had a greatly significant influence on the Cd(Ⅱ)removal.The optimal flocculation conditions obtained from CCD were as follows:ρCd(Ⅱ)was 69.5 mg/L,the pH of water sample was 6.4,andρMAAPAM:ρCd(Ⅱ)was 2.4∶1.At the flocculation conditions,the experimental removal rate of Cd(Ⅱ)was 98.56%,which was close to the predicted value of 99.61%by the regression model.These results proved that the model established by CCD was reasonable and feasible.
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