Chu W, Chan K H, Kwan C Y, Lee C K
Department of Civil and Structural Engineering, Research Centre for Environmental Technology and Management, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong, China.
Chemosphere. 2004 Oct;57(3):171-8. doi: 10.1016/j.chemosphere.2004.06.008.
Unlike the conventional first- or second-order model, a novel approach to design for the removal of 2,4-dichlorophenoxy (2,4-D) by the UV-catalytic oxidation process (UVCOP) was investigated. Two distinctive parameters, initial decay rate and maximum oxidative capacity, were characterized. By using these parameters, the performance of the degradation of 2,4-D by UVCOP regarding to the reagent dosages could be successfully predicted. Low concentrations of ferrous ion was found to be a rate-limiting factor for the process while the dosage of hydrogen peroxide was concluded as a dominant species in determining the maximum oxidation capacities. This information can be used to optimize the treatment process and achieve the expected performance target; an "optimal-dose model" was developed accordingly. The model is an intelligent and useful tool to evaluate the optimal doses of hydrogen peroxide with the minimum dose of ferrous ion, which leads to a better design of the treatment process.
与传统的一阶或二阶模型不同,本文研究了一种通过紫外光催化氧化工艺(UVCOP)去除2,4-二氯苯氧基(2,4-D)的新设计方法。表征了两个独特的参数,即初始衰减速率和最大氧化能力。利用这些参数,可以成功预测UVCOP降解2,4-D时关于试剂剂量的性能。发现低浓度的亚铁离子是该过程的限速因素,而过氧化氢的剂量被认为是决定最大氧化能力的主要因素。这些信息可用于优化处理过程并实现预期的性能目标;据此开发了一个“最佳剂量模型”。该模型是一种智能且有用的工具,可用于评估以最低亚铁离子剂量使用过氧化氢的最佳剂量,从而实现对处理过程的更好设计。