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Photo-catalytic degradation of an oil-water emulsion using the photo-Fenton treatment process : effects and statistical optimization

机译:使用光芬顿处理工艺的光催化降解油水乳液:效果和统计优化

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摘要

The application of advanced oxidation processes (AOPs) to the treatment of an effluent contaminated with hydrocarbon oils was investigated. The AOPs conducted were Fe2+/H2O2 (Fenton’s reagent), Fe2+/H2O2/UV (Photo-Fenton’s reagent) and UV-photolysis. These technologies utilize the very strong oxidizing power of hydroxyl radicals to oxidize organic compounds to harmless end products such as CO2 and H2O. A synthetic wastewater generated by emulsifying diesel oil and water was used. This wastewater might simulate, for example, a waste resulting from a hydrocarbon oil spill, onto which detergent was sprayed. The experiments utilising the Photo-Fenton treatment method with an artificial UV source, coupled with Fenton’s reagent, suggest that the hydrocarbon oil is readily degradable, but that the emulsifying agent is much more resistant to degradation. The results showed that the COD (chemical oxygen demand) removal rate was affected by the Photo-Fenton parameters (Fe2+, H2O2 concentrations and the initial pH) of the aqueous solution. In addition, the applicability of the treatment method to a ‘real’ wastewater contaminated with hydrocarbon oil is demonstrated. The ‘real’ wastewater was sourced at a nearby car-wash facility located at a petroleum filling station and the experimental results demonstrate the effectiveness of the treatment method in this case. A statistical analysis of the experimental data using the Statistical Analysis System (SAS) and the response surface methodology (RSM) based on the experimental design was applied to optimize the Photo-Fenton parameters (concentrations of Fe2+, H2O2 and initial pH) and to maximize the COD removal rate (more than 70%).
机译:研究了高级氧化工艺(AOP)在处理被烃油污染的废水中的应用。进行的AOP是Fe2 + / H2O2(Fenton试剂),Fe2 + / H2O2 / UV(Photo-Fenton试剂)和UV光解。这些技术利用非常强的羟基自由基氧化能力将有机化合物氧化为无害的最终产品,例如CO2和H2O。使用通过乳化柴油和水产生的合成废水。这种废水可能会模拟例如烃泄漏造成的废物,并向其上喷洒了清洁剂。利用带有人工紫外线源的光芬顿处理方法和芬顿试剂相结合的实验表明,烃油易于降解,但乳化剂的降解能力要强得多。结果表明,COD(化学需氧量)的去除率受水溶液中光芬顿参数(Fe2 +,H2O2浓度和初始pH)的影响。另外,证明了该处理方法对被烃油污染的“实际”废水的适用性。 “真正的”废水来自位于加油站附近的洗车场,实验结果证明了这种方法的有效性。使用基于实验设计的统计分析系统(SAS)和响应面方法(RSM)对实验数据进行统计分析,以优化Photo-Fenton参数(Fe2 +,H2O2的浓度和初始pH)并最大化COD去除率(超过70%)。

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