CaoFengfeng,XuMing,WangJun,et al.Optimization of O3+DNBF Process for Enhanced Denitrification Based on Response Surface Methodology[J].China Water & Wastewater,2026,42(15):67-72.
基于响应面法优化O3+DNBF工艺强化脱氮研究
- Title:
- Optimization of O3+DNBF Process for Enhanced Denitrification Based on Response Surface Methodology
- Keywords:
- ozone catalytic oxidation; denitrification biofilter; response surface methodology; enhanced denitrification; secondary effluent
- 摘要:
- 为优化臭氧催化氧化(O3)+反硝化生物滤池(DNBF)组合工艺处理二级出水过程中强化脱氮的关键运行条件,通过单因素试验分别研究了臭氧投加量、水力停留时间(HRT)及温度对系统主要污染物去除效果的影响,并确定最佳工况。在此基础上,采用响应面法(RSM)分析上述三种因素对O3+DNBF工艺去除TN的影响,得出优化运行条件与去除率的模型预测值,并验证了TN去除率实测值与预测值的相对误差。结果表明,单因素试验中臭氧投加量为15 mg/L、HRT为6 h、温度为22 ℃时系统脱氮效果最好。响应面分析表明,三种因素对TN的去除交互影响显著,模型拟合回归方程得出优化运行条件如下:臭氧投加量为16 mg/L、HRT为6 h、温度为23 ℃,TN去除率预测值为32.56%。平行验证试验结果表明,TN平均去除率为32.94%,相对误差仅为0.38%。可见,采用响应面法建立模型优化O3+DNBF工艺深度处理二级出水效果的方法可靠,实现了对总氮的强化去除,且出水水质满足《城镇污水处理厂污染物排放标准》(GB 18918—2002)一级A标准。
- Abstract:
- To optimize the key operating conditions for enhancing denitrification in the treatment of secondary effluent using the ozone catalytic oxidation (O3) combined with denitrification biofilter (DNBF) process, single-factor experiments were conducted to investigate the effects of ozone dosage, hydraulic retention time (HRT), and temperature on the removal of major pollutants, and to determine their respective optimal operating conditions. On this basis, response surface methodology (RSM) was employed to analyze the effects of the above three factors on TN removal in the O3+DNBF process, and the predicted values of the optimized operating conditions and removal rate were obtained from the model. The relative error between the actual and predicted TN removal rates was calculated. The results showed that, in the single-factor experiments, the system achieved the best denitrification performance at an ozone dosage of 15 mg/L, HRT of 6 h, and temperature of 22 ℃. Response surface analysis revealed that the three factors had a significant interactive effect on TN removal. The fitted regression equation from the model optimized the operating conditions as follows: ozone dosage of 16 mg/L, HRT of 6 h, and temperature of 23 ℃, with a predicted TN removal rate of 32.56%. The parallel validation experiments showed that the average TN removal rate was 32.94%, with a relative error of only 0.38%. It was evident that the application of response surface methodology to establish a model for optimizing the O3+DNBF process for advanced treatment of secondary effluent was reliable, achieving enhanced removal of total nitrogen, with the effluent quality meeting the first level A criteria specified in the Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant (GB 18918-2002).
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