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响应面法分析Ti/TiO_2电极光电催化富里酸的过程 被引量:4

Response surface methodology analyzing fulvic acid degradation process by Ti/TiO_2 photoelectrocatalytic oxidation.
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摘要 利用响应面分析法对影响Ti/TiO2电极光电催化降解富里酸的主要因素进行了探讨.通过Design-Expert5软件可得到1个二次响应曲面模型.结果表明,最佳的pH值、K2S2O8投加量和偏电压分别为3.8、88.40mg/L、0.88V,此时富里酸的去除率达到最大(57.06%).方差分析表明,模型具有较高的回归率(R2=97.54%),与实验结果吻合程度较高. Response surface methodology (RSM) was utilized to explore the main factors influencing Ti/TiO2 photoelectrocatalytic degradation of fulvic acid. Through Design-Expert 5 software, a quadratic curved surface model was obtained. The best pH value, K2S2O8 input amount and bias potential were 3.8, 88.40mg/L, 0.88V respectively; at this time, the removal rate of fulvic acid reached the greatest (57.06%). The regression analysis showed that the model possessed higher regression rate (R^2=97.54%), having higher coincide degree with the experimental results.
出处 《中国环境科学》 EI CAS CSCD 北大核心 2006年第6期718-722,共5页 China Environmental Science
基金 教育部天南大合作基金(2002-2005)
关键词 光电催化氧化 Ti/TiO2电极 富里酸 响应面法 photoelectrocatalytic oxidation Ti/TiO2 electrode fulvic acid response surface methodology
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