UV/Fe2+/过硫酸盐降解噻虫啉的响应曲面法优化研究

石月, 彭湃, 刘艳丽, 吴丽, 张祖麟, 杨列

中国环境科学 ›› 2021, Vol. 41 ›› Issue (11) : 5153-5159.

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中国环境科学 ›› 2021, Vol. 41 ›› Issue (11) : 5153-5159.
水污染与控制

UV/Fe2+/过硫酸盐降解噻虫啉的响应曲面法优化研究

  • 石月1, 彭湃2, 刘艳丽1, 吴丽1, 张祖麟1, 杨列1
作者信息 +

Degradation of thiacloprid via UV/Fe2+/persulfate system: Optimization using response surface methodology

  • SHI Yue1, PENG Pai2, LIU Yan-li1, WU Li1, ZHANG Zu-lin1, YANG Lie1
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文章历史 +

摘要

构建了紫外-亚铁联合活化过硫酸盐的体系用于高效降解噻虫啉(Tiacloprid,THIA),以Fe2+浓度、过硫酸盐(Persulfate,PS)浓度、pH值、紫外功率为因变量,THIA去除率为响应值,通过中心复合设计法(Central Composite Design,CCD)建立因素和响应值之间的数学模型.模型拟合结果显示,当Fe2+浓度为0.318mmol/L,PS浓度为0.544mmol/L,pH值为3.054和紫外功率为58.133W时,模型预测THIA降解率最高为100%.验证实验结果(98.4%)与预测值基本一致,证明了响应曲面法用于优化紫外-亚铁联合活化过硫酸盐体系降解THIA的可行性.

Abstract

Ultraviolet synergic ferrous based catalysts were tested to achieve effective degradation of thiacloprid (THIA) from wastewater. In this study, the effect of degradation of THIA were conducted on the different degradation parameters of various of concentration of synergic ferrous, concentration of persulfate (PS), pH value and UV intensity. Central Composite Design (CCD) method was used to establish a mathematical model between degradation parameters and the removal rate of THIA. The results showed that UV/Fe2+/PS system could result in 100% of degradation rate of THIA when using 58.133W of UV intensity, 0.318mmol/L of ferrous irons, 0.544mmol/L of PS and 3.054 of pH. It was in a good agreement with the experimental results (98.4%) which suggested that response surface methodology can be well used to optimize the degradation of THIA in the UV/Fe2+/PS system.

关键词

过硫酸盐 / 噻虫啉 / 响应曲面 / 亚铁活化 / 紫外活化

Key words

ferrous activation / persulfate / response surface / thiacloprid / ultraviolet activation

引用本文

导出引用
石月, 彭湃, 刘艳丽, 吴丽, 张祖麟, 杨列. UV/Fe2+/过硫酸盐降解噻虫啉的响应曲面法优化研究[J]. 中国环境科学. 2021, 41(11): 5153-5159
SHI Yue, PENG Pai, LIU Yan-li, WU Li, ZHANG Zu-lin, YANG Lie. Degradation of thiacloprid via UV/Fe2+/persulfate system: Optimization using response surface methodology[J]. China Environmental Science. 2021, 41(11): 5153-5159
中图分类号: X703   

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基金

国家自然科学基金资助项目(51878523)

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