| 响应曲面法在反硝化生物滤池运行参数优化中的应用 |
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| 引用本文： | 张 千,吉芳英,徐 璇.响应曲面法在反硝化生物滤池运行参数优化中的应用[J].环境科学研究,2015,28(7):1138-1144. |
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| 作者姓名： | 张 千 吉芳英 徐 璇 |
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| 作者单位： | 重庆大学城市建设与环境工程学院, 三峡库区生态环境教育部重点实验室, 低碳绿色建筑国际联合研究中心, 重庆 400045 |
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| 基金项目： | 国家水体污染控制与治理重大科技专项(2013ZX07314001002); 高等学校学科创新引智计划项目(B13041) |
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| 摘 要： | 为预测反硝化生物滤池深度处理城镇污水处理厂二沉池出水的脱氮效果,优化工艺运行参数,以黏土陶粒反硝化生物滤池作为反应器,以人工合成污水模拟污水处理厂二沉池出水,采用中心组合试验设计,利用响应曲面法研究反应器NO3--N去除率与HRT(水力停留时间)、进水中ρ(CODCr)和ρ(NO3--N)之间的关系. 统计结果显示,NO3--N去除模型极显著(P<0.000 1),并且模型预测值与试验值能很好地吻合. 方差分析结果表明,HRT及其与进水中ρ(NO3--N)和ρ(CODCr)的交互作用对反硝化滤池NO3--N的去除率影响不显著(P>0.05),而进水中ρ(NO3--N)和ρ(CODCr)及其交互作用对反硝化滤池NO3--N的去除具有显著影响(P＜0.05). 3个因素对NO3--N去除率影响强弱的顺序为进水ρ(CODCr)>进水ρ(NO3--N)>HRT. 在HRT为2.50 h的条件下,当进水中ρ(NO3--N)＜11.00 mg/L及ρ(CODCr)＞43.00 mg/L时,反硝化滤池NO3--N的去除率可以达到71.0%以上.
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| 关 键 词： | 响应曲面法 陶粒反硝化滤池 硝态氮去除率 运行参数优化 |
Optimization of Denitrification Biofilter Process Using Response Surface Methodology |
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| ZHANG Qian,JI Fangying and XU Xuan.Optimization of Denitrification Biofilter Process Using Response Surface Methodology[J].Research of Environmental Sciences,2015,28(7):1138-1144. |
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| Authors: | ZHANG Qian JI Fangying and XU Xuan |
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| Affiliation: | Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, National Center for International Research of Low-Carbon and Green Buildings, Faculty of Urban Construction and Environmental Engineering of Chongqing University, Chongqing 400045, China |
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| Abstract: | The present study aims to predict the nitrate removal efficiency in wastewater with a low C/N ratio and optimize the parameters using a denitrification biofilter process. A laboratory-scale denitrification biofilter, which was packed with clay ceramsite as biofilm carrier, and synthetic wastewater was used to simulate the effluent discharged from a wastewater treatment plant. An experimental design was carried out based on Central Composite Design (CCD) with response surface methodology (RSM), and the effects of operation parameters were explored with the nitrate removal efficiency as the response value. Based on statistical analysis, the nitrate removal model proved to be highly significant, with extremely low probability values (P<0.0001), and the calculated values of the equation well agreed with the experimental test data. The ANOVA analysis and response surface analysis showed that there were significant interactions on nitrate removal efficiency between influent ρ(NO3--N) and ρ(CODCr) (P<0.05), but the interaction effect between HRT and ρ(NO3--N), HRT and influent ρ(CODCr) were not significant (P>0.05). The importance of the three factors affecting nitrate removal efficiency from strong to weak were influent ρ(CODCr) > influent ρ(NO3--N) > HRT. When the influent ρ(NO3--N) < 11.00 mg/L and influent ρ(CODCr) > 43.00 mg/L at an HRT of 2.50 h, the nitrate removal rate of the denitrificaiton biofiter reached more than 71.0%. |
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| Keywords: | response surface methodology (RSM) ceramsite denitrification biofilter nitrate removal rate optimization of operation parameters |
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