河流微孔曝气系统充氧性能优化试验EI北大核心CSCD

针对河流微孔曝气系统复氧效率较低的问题,基于单因素试验和响应面优化试验,以氧体积传质系数为评价指标,研究了曝气系统氧传质过程中微孔曝气器孔径、曝气水深、盐度、BOD_(5)及表面活性剂十二烷基苯磺酸钠(SDBS)质量浓度对充氧性能的影响规律,并建立了多元二次回归模型,对曝气参数进行优化。结果表明:5种因素对氧体积传质系数均有影响,其影响的显著程度由大到小分别为曝气水深、SDBS质量浓度、盐度、微孔曝气器孔径、BOD_(5)质量浓度;微孔曝气器孔径和SDBS质量浓度、盐度和SDBS质量浓度之间存在显著的交互作用;模型预测值与试验值的相对误差在合理范围内,所建立的回归模型准确可靠。

Experimental research of oxygenation performance optimization for fine pore aeration system of rivers

Given the low reaeration efficiency of fine pore aeration system in rivers, the oxygen mass transfer coefficient was used as the evaluation index to study effects of five factors, including the pore diameter of a fine pore aerator, aeration depth, salinity, and the mass concentrations of BOD5 and sodium dodecyl benzene sulfonate (SDBS), on the oxygenation performance based on single factor test and response surface optimization test. Also, a multiple quadratic regression model was established to optimize aeration parameters. The results show that all of the five factors can affect the oxygen mass transfer coefficient, and the order of factor significance is as follows: aeration depth, the mass concentration of SDBS, salinity, pore diameter, and the mass concentration of BOD5. In addition, there is a remarkable interaction between the mass concentration of SDBS and pore diameter or salinity. With reasonable error between model prediction and experimental results, the regression model is accurate and reliable.