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正交混凝试验在矿井水处理设计中的应用
引用本文:许光泉,王伟宁,李佩全,刘泽功. 正交混凝试验在矿井水处理设计中的应用[J]. 地学前缘, 2010, 17(6): 88-93
作者姓名:许光泉  王伟宁  李佩全  刘泽功
作者单位:安徽理工大学,地球与环境学院,安徽,淮南,232001;淮南矿业(集团)有限公司,安徽,淮南,232001
基金项目:国家科技支撑项目(2007BAK28B06)
摘    要:针对高悬浮物矿井水,设计了5水平6因素的L25(56)正交混凝试验,并通过极差分析确定了混凝的最优化条件,即选择PAC作为混凝剂,pH值调节为9,混凝剂与助凝剂浓度比为20∶1,助凝剂PAM投加滞后30 s,水力条件依次为n=350 r.min-1快速搅拌30 s,n=120 r.min-1中速搅拌4 min,n=60 r.min-1慢速搅拌6 min。通过单因素分析了6种因素对混凝的影响程度,即:PAM投量>混凝剂种类>pH值>混凝剂投量>水力条件>投加时间。依试验结果,对垂向轴式混合反应池进行了参数设计。

关 键 词:正交试验  极差分析  单因素试验  影响因素  参数设计

Application of orthogonal coagulation experiment in the design of mining water treatment
Xu Guangquan,Wang Weining,Li Peiquan,Liu Zegong. Application of orthogonal coagulation experiment in the design of mining water treatment[J]. Earth Science Frontiers, 2010, 17(6): 88-93
Authors:Xu Guangquan  Wang Weining  Li Peiquan  Liu Zegong
Affiliation:Xu Guangquan1,Wang Weining1,Li Peiquan2,Liu Zegong11.School of Earth and Environment,Anhui University of Science and Technology,Huainan 232001,China2.Huainan Mining Industry(Group) Limited Liability Company,China
Abstract:Aiming at the mining water with high content of suspended solids,we have designed the L25(56) orthogonal coagulation experiments of 5 levels and 6 factors.After the range analysis,the optimization of coagulation conditions have been determined,that is: PAC has been chosen to be the coagulant;pH value has been adjusted to 9;the coagulant and flocculent concentration ratio has been determined to be 20∶1;the PAM dosing of flocculent lags 30 s;the hydraulic conditions are set successively as: rapid mixing(n=350 r·min-1) 30 s,medium speed mixing(n=120 r·min-1) 4 min,and slow mixing(n=60 r·min-1) 6 min.By the single factor analysis,the influence degree of six kinds of coagulation factors has been verified as follows: the dosage of PAM>coagulant type>pH value>the dosage of coagulant>hydraulic condition>the time of dosage.According to the experimental results,the parameters of vertical axis mixed reaction pond have been designed.
Keywords:orthogonal experiment  range analysis  single factor analysis  influence factors  parameter design  
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