摘要
采用序批式生物膜反应器(SBBR)对城市模拟污水进行处理。用接种法对SBBR反应器进行挂膜启动。主要研究了曝气时间、C/N、填料投加量对SBBR反应器去除氨氮的效果。采用响应面法对稳定运行的SBBR反应器中的曝气时间、C/N、填料投加量进行了优化,同时构建回归模型,并进行方差分析。结果表明:挂膜成熟时,SBBR系统出水COD和氨氮去除率分别稳定在88.1%和85.2%以上。单因素实验分析结果表明:曝气时间、C/N、填料投加量对SBBR反应器脱氮效果影响显著,其最优值为6 h、10、30%。经过响应面优化后反应器的最佳工况点为:填料投加量为20.2%、C/N为10.5、曝气时间为6.4h。模型预测COD的去除率为95%、氨氮的去除率为94.14%。模型验证实测结果为COD去除率为92.72%、氨氮去除率为91.53%,与预测值相差小于3%。因此,该模型能较为真实地反映各因素对模拟城市污水中COD去除率和氨氮去除率的影响。响应面法可以优化SBBR反应器处理模拟城市污水。
Sequencing batch biofilm reactor(SBBR)was used to treat urban simulated wastewater.The SBBR reactor was started by inoculation method.The effects of aeration time,C/N and filler dosage on the removal of ammonia nitrogen in SBBR reactor were studied.The response surface method was used to optimize the aeration time,C/N and filler dosage in the stable SBBR reactor,and the regression model was constructed and analyzed by variance.The results showed that when the biofilm was mature,the removal rates of COD and ammonia nitrogen in the effluent of SBBR system were stable at 88.1%and 85.2%,respectively.The single factor experimental analysis showed that the aeration time,C/N and filler dosage had a significant effect on the denitrification of the SBBR reactor,and the optimal values were 6 h,10 and 30%.After response surface optimization,the optimal operating point of the reactor was determined as follows:the filler dosage was 20.2%,the C/N was 10.5,and the aeration time was 6.4 h.The model predicted that the removal rate of COD was 95%and the removal rate of ammonia nitrogen was 94.14%.The model validation results showed that the COD removal rate was 92.72%and the ammonia nitrogen removal rate was 91.53%,which was less than 3%of the predicted value.Therefore,the model can truly reflect the influence of various factors on the removal rate of COD and ammonia nitrogen in simulated urban sewage.The response surface method can optimize the SBBR reactor to treat simulated urban sewage.
作者
黄雨琪
亢涵
高一寒
HUANG Yuqi;KANG Han;GAO Yihan(School of Municipal and Environmental Engineering,Shenyang Jianzhu University,Shenyang Liaoning 110168,China)
出处
《辽宁化工》
CAS
2024年第9期1364-1369,共6页
Liaoning Chemical Industry
关键词
污水处理
SBBR
微生物系统构建
响应曲面优化法
模型验证
Sewage treatment
SBBR
Construction of microbial system
Response surface optimization method
Model verification
