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基于厌氧氨氧化工艺的氨废气处理

[Ammoniac Waste Gas Treatment Based on ANAMMOX Process].

作者信息

Lin Xing, Wang Fan, Yuan Yan, Li Xiang, Huang Yong, Gu Cheng-Wei

机构信息

School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.

Institute of Environmental Biotechnology, Suzhou University of Science and Technology, Suzhou 215009, China.

出版信息

Huan Jing Ke Xue. 2017 Jul 8;38(7):2947-2952. doi: 10.13227/j.hjkx.201612154.

Abstract

The feasibility of ammoniac waste gas treatment by partial nitrification(PN)-anaerobic ammonia oxidation(ANAMMOX) reactor was studied. The PN-ANAMMOX reactor was successfuly started up after 60 d operation in conditions of low dissolved oxygen control(0.2 mg·L), pH 7.9-8.2 and temperature(30-35℃). The total nitrogen removal efficiency reached 88% and the nitrogen removal rate increased from 0.05 kg·(m·d) to 0.7 kg·(m·d). In the treatment of ammoniac waste gas, the excess oxygen in it would lead to massive growth of nitrifying bacteria, when the ammonia concentration was lower than 2.59%. The ammonia and oxygen in waste gas met the requirement of the reactor for nitrogen removal, when the ammonia concentration stayed between 2.59% and 4.2%. Extra air flow was required for reactor oxygen supplement when the ammonia concentration was higher than 4.2%. The ammonia removal efficiency reached 100%, the total nitrogen removal efficiency reached 90.06%, while the total nitrogen removal rate was 0.51 kg·(m·d) after 60 day operation for ammoniac waste gas purification. It is indicated that the integrated reactor based on PN-ANAMMOX process can achieve stable removal of ammonia waste gas.

摘要

研究了采用亚硝化(PN)-厌氧氨氧化(ANAMMOX)反应器处理氨废气的可行性。在低溶解氧控制(0.2 mg·L)、pH 7.9 - 8.2和温度(30 - 35℃)条件下运行60 d后,PN - ANAMMOX反应器成功启动。总氮去除效率达到88%,脱氮速率从0.05 kg·(m³·d)提高到0.7 kg·(m³·d)。在处理氨废气时,当氨浓度低于2.59%时,其中的过量氧气会导致硝化细菌大量生长。当氨浓度保持在2.59%至4.2%之间时,废气中的氨和氧气满足反应器脱氮的要求。当氨浓度高于4.2%时,需要额外的空气流来补充反应器的氧气。经过60天的氨废气净化运行,氨去除效率达到100%,总氮去除效率达到90.06%,而总氮去除速率为0.51 kg·(m³·d)。结果表明,基于PN - ANAMMOX工艺的一体化反应器能够实现氨废气的稳定去除。

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