Department of Environmental Science, Faculty of Environment and Energy, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.
Department of Environmental Science, Faculty of Environment and Energy, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mar Pollut Bull. 2016 Mar 15;104(1-2):240-5. doi: 10.1016/j.marpolbul.2016.01.017. Epub 2016 Feb 2.
The effect of ozonation on treatment of diesel-contaminated water was investigated on a laboratory scale. Factorial design and response surface methodology (RSM) were used to evaluate and optimize the effects of pH, ozone flow rate, and contact time on the treatment process. A Box-Behnken design was successfully applied for modeling and optimizing the removal of total petroleum hydrocarbons (TPHs). The results showed that ozonation is an efficient technique for removing diesel from aqueous solution. The determination coefficient (R(2)) was found to be 0.9437, indicating that the proposed model was capable of predicting the removal of TPHs by ozonation. The optimum values of experimental initial pH, degree of O3, and reaction time were 7.0, 1.5, and 35 min, respectively, which could contribute to approximately 60% of TPH removal. This result is in good agreement with the predicted value of 57.28%.
臭氧氧化法处理柴油污染水的效果在实验室规模上进行了研究。采用析因设计和响应面法（RSM）评估和优化了 pH 值、臭氧流量和接触时间对处理过程的影响。成功地应用 Box-Behnken 设计对总石油烃（TPHs）的去除进行了建模和优化。结果表明，臭氧氧化法是一种从水溶液中去除柴油的有效技术。确定系数（R(2)）为 0.9437，表明所提出的模型能够预测臭氧氧化法去除 TPHs 的效果。实验初始 pH 值、臭氧程度和反应时间的最佳值分别为 7.0、1.5 和 35 分钟，这有助于去除约 60%的 TPH。这一结果与预测值 57.28%非常吻合。
