摘要
选取聚合氯化铝(PAC)、聚合氯化铁(PFC)、六水合硫酸亚铁(FS)和聚丙烯酰胺(PAM)等4种常用混凝剂,采用正交试验,以CODcr、SS、Cu2+去除率作为评价指标,以Microsoft Excel 2013程序和SPSS统计软件对数据进行回归分析,研究了不同混凝剂处理铜矿废水的效果及最佳混凝条件。结果表明:在以上混凝剂中PFC的混凝效果最佳,而FS的混凝效果最差;最佳的混凝条件为废水调整pH值至7.50,每L废水投加PFC 300mg、PAM 14mg,其CODcr、SS和Cu2+去除率均达94%以上;废水的pH值对混凝效果的影响最大。
Polymeric aluminum chloride （PAC）, polymeric ferric chloride （PFC）, six hydrated ferrous sulfate （FS）, polyacrylamide（PAM） were used as 4 kinds of coagulants, CODCr removal rate, SS removal rate and Cu^2＋ removal rate as the evaluation index were studied by orthogonal experiments. Microsoft Excel 2013 and SPSS data statistics software were employed in the data regression analysis to study the copper mine waste water treatment effects of different coagulants and the optimal coagulation conditions. The results show that the coagulation effect of PFC is the best, and the FS is the worst;the optimum coagulation condition is pH at 7. 50 of the waste water and addition PFC of amount to one litre waste water is 300 mg, PAM is 14 mg, then CODCr removal rate, SS removal rate and Cu^2＋ removal rate all is over 94 %. And the pH value of waste water is the most influence on the coagulation effect.
出处
《铀矿冶》
CAS
2016年第2期124-131,共8页
Uranium Mining and Metallurgy
关键词
铜矿废水
混凝法
正交试验
非线性回归
copper mine waste water
coagulation process
orthogonal experiment
non-linear regression
