中文关键词低温活性污泥生物膜耦合工艺生物脱氮 英文关键词low temperatureactivated sludgebiofilmcoupling processbiological denitrification

作者	单位	E-mail
王帆	北京工业大学建筑与土木工程学院, 北京 100124 长春工程学院, 吉林省城市污水处理重点实验室, 长春 130012	ccwangfan@163.com
李军	北京工业大学建筑与土木工程学院, 北京 100124	bjutlijun@126.com
边德军	长春工程学院, 吉林省城市污水处理重点实验室, 长春 130012
聂泽兵	长春工程学院, 吉林省城市污水处理重点实验室, 长春 130012
张莉	长春工程学院, 吉林省城市污水处理重点实验室, 长春 130012
孙艺齐	北京工业大学建筑与土木工程学院, 北京 100124

中文摘要 为探究进水流量分配比对低温城市污水脱氮效率的影响，并解析多级AO耦合流离生化工艺脱氮规律，实验采用三级AO耦合流离生化工艺，在温度为（10±1）℃、水力停留时间8 h、气水比恒定的条件下处理模拟低C/N值城市污水.系统依次在进水比5：4：4（等容积负荷）、3：2：1（等停留时间）和25：15：6（等污泥负荷）这3种工况下运行.结果表明，该工艺对低温低C/N值污水的处理效果较好，其中在进水比为3：2：1的工况下脱氮效率最高，COD、NH₄⁺-N和TN平均去除率分别为87.44%、96.63%和76.81%.进一步对氮的迁移转化规律进行研究发现，制约工艺低温脱氮的主要因素为各级硝化效率，3：2：1的进水比合理地分配了进水负荷，各级硝化率均超过85%，为反硝化创造了有利条件，最终获得了较高的脱氮效率，此时系统也具有最高的总生物量.研究结果丰富了多级AO耦合工艺低温脱氮理论，同时为工程设计应用提供参考. 英文摘要 To explore the influence of the influent flow distribution ratio on the denitrification efficiency of low-temperature urban wastewater and analyze the denitrification of multi-level AO coupled flow biochemical process, three-level AO-coupled biofilm technology was used to treat simulated low-C/N urban sewage at a temperature of 10℃±1℃, hydraulic retention time of 8 h, and constant air-water ratio. The reactors were operated under three conditions of inlet water ratios of 5:4:4 (equal volume load), 3:2:1 (equal hydraulic retention time), and 25:15:6 (equal sludge load). The study showed that the multi-level AO-coupled displacement biochemical process has a good removal efficiency with respect to low-temperature and low-C/N wastewater. The pollutant removal efficiency is the highest when the ratio of the influent is 3:2:1 and the average removal rates of COD, NH₄⁺-N, and TN are 87.44%, 96.63%, and 76.81%, respectively. Further studies on the law of nitrogen migration and transformation showed that the main factors constraining the nitrogen removal under three conditions were the nitrification efficiency at each levels, the ratio of 3:2:1 influent reasonably distributing the influent load, and the nitrification efficiency at each level exceeding 85%, creating favorable conditions for denitrification and leading to a higher denitrification efficiency, while the system has the highest total biomass. The research results enrich the theory of multi-level AO cryogenic removal of nitrogen and provide references for engineering designs and applications.

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