中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 响应曲面法优化Fenton试剂处理活性艳蓝废水 绿色科技 2017 (8) 52-55
Position: Home > Articles > Optimization on Fenton Reagent Treatment of Reactive Brilliant Blue Wastewater by Response Surface Methodology Journal of Green Science and Technology 2017 (8) 52-55

响应曲面法优化Fenton试剂处理活性艳蓝废水

作  者：
孔张成
单  位：
安徽建筑大学水污染控制与废水资源化重点实验室
关键词：
响应曲面法;Fenton;活性染料K-GR
摘  要：
采用Fenton氧化对染料水进行了研究,以活性艳蓝K-GR染料废水为研究对象,选着染料废水初始pH值,H_2O_2和FeSO_4投加量为自变量,采用Box-Benhnken响应面法研究各自变量及交互作用对活性艳蓝K-GR脱色率的影响,并通过响应曲面分析及回归方程求解得到二次多项式回归方程的预测模型。结果表明:H_2O_2和FeSO_4投加量与染料降解率存在显著相关性,经试验修正后的最佳反应条件为:pH=2.8,双氧水浓度为3.7mmol/L,硫酸亚铁浓度为0.75mmol/L。在此最优条件下,平均脱色率为98.5%。
译  名：
Optimization on Fenton Reagent Treatment of Reactive Brilliant Blue Wastewater by Response Surface Methodology
作  者：
Kong Zhangcheng;Key laboratory of Water Pollution Control and Wastewater Resource,Anhui Jianzhu University;
关键词：
response surface methodology;;fenton oxidation;;reactive brilliant blue K-GR
摘  要：
Fenton oxidation was employed to study dye wastewater.The reactive brilliant blue K-GR dye wastewater was used as the research object.The initial pH value,the dosage of FeSO_4 and H_2O_2 were selected as independent variables.Box-Benhnken response surface method was used to study the effect of respective variables and interaction on the decolorization rate of reactive brilliant blue K-GR.And the prediction model of the two polynomial regression equation was obtained by means of response surface analysis and regression equation.The results showed that there was a significant correlation between the dosage of FeSO_4 and H_2O_2 and the degradation rate of the dye.After experimental correction,the appropriate PH value is 2.8.The concentration of hydrogen peroxide is 3.7mmol/l and the concentration of ferrous sulfate is 0.75mmol/l.The average decolorization rate was 98.5% under this optimum condition.

相似文章

导出引用
计量
文章访问数: 9
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46