短程硝化最优曝气时间控制与硝化种群调控
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(1.北京工业大学 北京市水质科学与水环境恢复工程重点试验室, 100124 北京;2.哈尔滨工业大学 城市水资源与水环境国家重点实验室, 150090 哈尔滨;3. 机科发展科技股份有限公司 环境与生态工程事业部, 100044 北京) 

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彭永臻(1949—),男,教授,博士生导师.

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国家自然科学基金资助项目(21177005);“十一五”国家科技支撑计划重点项目(2009BAC57B01).


Optimal control of aeration duration and nitrifying population regulation for partial nitrification
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(1.Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology,100124 Beijing, China; 2.State Key Laboratory of Urban Water Resource and Environment,Harbin Institute of Technology, 150090 Harbin, China; 3.Environmental and Ecological Department, Machinery Technology Development Co. Ltd, 100044 Beijing,China)

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    摘要:

    为确定实现短程硝化的最优曝气时间,采用3个平行的序批式间歇反应器(SBR)处理生活污水,在pH为7.9~8.0时,“氨谷”出现前t/2、t/4、t/8(t为曝气时间)停止曝气,实现短程硝化.运行145 d后,系统亚硝态氮积累率分别提高到50%、65%、90%. 荧光原位杂交技术(FISH)定量分析表明,反应器中氨氧化菌(AOB)的比例都有不同程度提高,3#SBR最为显著,AOB、亚硝酸盐氧化菌(NOB)占全菌的比例分别为3.89%、0.27%,AOB为硝化菌群中的优势菌.最优曝气时间控制协同游离氨(FA)抑制作用可能是快速实现和维持短程硝化的主要因素.

    Abstract:

    Domestic wastewater was treated by using three parallel sequencing batch reactors (SBR) at the pH of 7.9-8.0 to optimize aeration duration of partial nitrification. The partial nitrification was achieved and maintained by controlling the aeration time of t/2, t/4, t/8 respectively (t was aeration time) before appearance of "ammonia valley". Nitrite accumulation ratios were improved by 50%, 65%, 90% respectively in the three reactors which were operated in 145 days. FISH quantitative analysis showed that the percentage of ammonia oxidizing bacteria (AOB) in the reactors increased differently. AOB and nitrite oxidizing bacteria (NOB) was 3.89% and 0.27% of the total bacteria respectively in No.3 reactor, which showed that AOB is the dominant bacteria in nitrifying bacteria. It is concluded that synergistic effect between the optimal control of aeration duration and the inhibition of FA would be the key factors to rapid start-up and maintain the stable nitrification.

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彭永臻,杨岸明,李凌云,吴蕾.短程硝化最优曝气时间控制与硝化种群调控[J].哈尔滨工业大学学报,2013,45(2):101. DOI:10.11918/j. issn.0367-6234.2013.02.018

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  • 在线发布日期: 2013-03-11
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