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利用A~2O/MBR组合工艺处理模拟煤气化废水,为了更好地优化和预测该工艺的最佳运行参数,通过引进二次回归正交旋转组合设计和响应曲面法研究了混合液回流比、曝气量和碱度剂量率(废水中Na HCO_3和NH_4~+-N的质量比)对TN和TOC去除率的影响。结果表明,以上三个因素对TN去除率有非常显著的影响,而对TOC去除率的影响很小(去除率始终大于95%);通过对回归方程的方差分析、失拟性检验以及对模型预测值和实测值的比较,证明回归模型对实际情况拟合较好,回归方程有统计学意义。此外,利用回归方程进行规划求解预测该组合工艺的最佳运行条件如下:混合液回流比为2.33,曝气量为1.34 L/min,碱度剂量率为13.49,此时TN去除率的预测值为92.55%,该预测值得到了进一步的试验验证。
In order to optimize and predict the optimum operating parameters of the process, the combined process of A ~ 2O / MBR process was applied to simulate coal gasification wastewater. By introducing quadratic regression orthogonal rotation combined design and response surface methodology, Effects of aeration rate and alkalinity dose rate (mass ratio of Na HCO 3 to NH 4 + -N in wastewater) on TN and TOC removal efficiency. The results showed that the above three factors had a very significant effect on the TN removal rate, but little effect on the TOC removal rate (the removal rate was always greater than 95%). By analyzing the variance of the regression equation, The comparison between the predicted value and the measured value proves that the regression model fits the actual situation better and the regression equation has statistical significance. In addition, the regression equation was used to predict the optimal operating conditions of the combined process as follows: the reflux ratio of the mixture was 2.33, the aeration rate was 1.34 L / min and the alkalinity dosage rate was 13.49. At this time, the predicted value of TN removal rate Which is 92.55%. The predicted value has been further tested.