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不同pH条件下短程硝化序批实验和数学模拟

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徐婷, 王丽, 吴军. 不同pH条件下短程硝化序批实验和数学模拟[J]. 环境工程学报, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
引用本文: 徐婷, 王丽, 吴军. 不同pH条件下短程硝化序批实验和数学模拟[J]. 环境工程学报, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
shu
Xu Ting, Wang Li, Wu Jun. Experimental investigation and mathematical simulation of partial nitrification in batch reactor under different pH[J]. Chinese Journal of Environmental Engineering, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
Citation: Xu Ting, Wang Li, Wu Jun. Experimental investigation and mathematical simulation of partial nitrification in batch reactor under different pH[J]. Chinese Journal of Environmental Engineering, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
shu

不同pH条件下短程硝化序批实验和数学模拟

  • 1.

    扬州大学环境科学与工程学院, 扬州 225000

  • 2.

    江苏省水文水资源勘测局, 南京 210029

  • 基金项目:

    国家自然科学基金资助项目(51478410)

  • 中图分类号: X703

Experimental investigation and mathematical simulation of partial nitrification in batch reactor under different pH

  • 1.

    School of Environmental Science and Engineering, Yangzhou University, Yangzhou 225000, China

  • 2.

    Jiangsu Province Hydrology and Water Resources Investigation Bureau, Nanjing, 210029, China

  • Fund Project:

  • 摘要: 为考察pH值对短程硝化过程动力学的影响,采用SBR工艺,以人工模拟氨氮废水为研究对象,进行了不同pH条件下的硝化批次实验,对氨氮降解过程进行动力学分析。在Monod方程的基础上,分析pH值对氨氧化菌(AOB)和亚硝酸氧化菌(NOB)生长速率的影响,分别建立了AOB和NOB的生长数学模型。利用MATLAB软件,将模型与硝化阶段实测数据进行拟合,取得良好的模拟效果。在此基础上通过模型预测得到泥龄(SRT)为6 d,溶解氧为1.5 mg O2/L,pH值在7.3~8范围内有利于实现短程硝化。
    Abstract: To investigate the effect of pH on partial nitrification kinetics, batch tests with artificially prepared ammonium nitrogen wastewater were conducted in sequencing batch reactor (SBR) under different pH conditions. The effect of pH on the growth rates of ammonium oxidation bacteria (AOB) and nitrite oxidation bacteria (NOB) was analyzed, and the mathematical model for AOB and NOB growth was established based on the Monod equation. Then fitted the model to the measured data by MATLAB software, and the simulation results were good. After that the model was used to predict the startup of partial nitrification, the prediction results show that short-cut nitrification could be achieved on the condition of sludge retention time (SRT) of 6 d,dissolved oxygen (DO) of 1.5 mg/L and pH of 7.3 to 8.
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  • [1] 张立成, 党维, 徐浩, 等. SBR快速实现短程硝化及影响因素. 环境工程学报, 2015, 9(5): 2272-2276 Zhang Licheng, Dang Wei, Xu Hao, et al. Achievement and influencing factors of shortcut nitrification in SBR process. Chinese Journal of Environmental Engineering, 2015, 9(5): 2272-2276(in Chinese)
    [2] 毛鹤群. 短程硝化反硝化动力学模型的建立及其应用. 长安: 长安大学硕士学位论文, 2012 Mao Hequn. Establishment and application of short-cut nitrification and denitrification dynamics model. Chang'an: Master Dissertation of Chang'an University, 2012(in Chinese)
    [3] 王淑莹, 李论, 李凌云, 等. 快速启动短程硝化过程起始 pH 值对亚硝酸盐积累的影响. 北京工业大学学报, 2011, 37(7): 1067-1072 Wang Shuying, Li Lun, Li Lingyun, et al. Effect of initiative pH value on accumulation of nitrite during the process of rapid start-up of partial nitrification. Journal of Beijing University of Technology, 2011, 37(7): 1067-1072(in Chinese)
    [4] 孙晓杰, 唐国斌, 陈伟胜, 等. pH值对城市生活污水短程硝化的影响. 华北水利水电学院学报, 2009, 30(6): 95-98 Sun Xiaojie, Tang Guobin, Chen Weisheng, et al. pH value effect on shortcut nitrification of municipal sewage. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2009, 30(6): 95-98(in Chinese)
    [5] 臧荣春, 夏凤毅. 微生物动力学模型. 北京: 化学工业出版社, 2004: 100-260
    [6] Wu Jun, Jiang Xinyue, Wheatley A. Characterizing activated sludge process effluent by particle size distribution, respirometry and modelling. Desalination, 2009, 249(3): 969-975
    [7] 曹满河. 短程硝化机理及其研究进展. 科技资讯, 2009(16): 4-5
    [8] Henze M., Gujer W., Mino T., et al. Activated Sludge Models Asm1, Asm2, Asm2d and Asm3. Scientific and Technical Report No. 9. London: IWA Publishing, 2000
    [9] 遇光禄, 喻立军, 唐颖栋. pH对高浓度氨氮短程硝化抑制动力学的影响. 环境污染与防治, 2013, 35(6): 65-68 Yu Guanglu, Yu Lijun, Tang Yingdong. Influence of pH on the kinetics of short-cut nitrification process inhibited by high concentrate ammonia. Environment Pollution and Control, 2013, 35(6): 65-68(in Chinese)
    [10] Hellinga C., Schellen A. A. J. C., MULDER J. W., et al. The SHARON process: An innovative method for nitrogen removal from ammonium-rich wastewater. Water Science and Technology, 1998, 37(9): 135-142
    [11] 傅金祥, 张羽, 杨洪旭, 等. 短程硝化反硝化影响因素研究. 工业水处理, 2010, 30(12): 38-41 Fu Jinxiang, Zhang Yu, Yang Hongxu, et al. Study on the influential factors affecting short-cut nitrification-denitrification. Industrial Water Treatment, 2010, 30(12): 38-41 (in Chinese)
    [12] Anthonisen A. C., Loehr R. C., Prakasam T. B. S., et al. Inhibition of nitrification by ammonia and nitrous acid. Journal (Water Pollution Control Federation), 1976, 48(5): 835-852
    [13] 杨洋, 左剑恶, 鲁颐琼, 等. 亚硝化工艺稳定运行动力学判据方程的建立. 中国环境科学, 2007, 27(4): 543-548 Yang Yang, Zuo Jiane, Lu Yiqiong, et al. Establishment and verification of dynamic criterion function for stable operation of short-cut nitrification process. China Environmental Science, 2007, 27(4): 543-548(in Chinese)
    [14] 彭永臻, 孙洪伟, 杨庆. 短程硝化的生化机理及其动力学. 环境科学学报, 2008, 28(5): 817-824 Peng Yongzhen, Sun Hongwei, Yang Qing. The biochemical reaction mechanism and kinetics of partial nitrification. Acta Scientiae Circumstantiae, 2008, 28(5): 817-824(in Chinese)
    [15] Wiesmann U. Biological nitrogen removal from wastewater. Advances in Biochemical Engineering/Biotechnology, 1994, 51: 113-154
    [16] Regmi P., Miller M. W., Holgate B., et al. Control of aeration, aerobic SRT and COD input for mainstream nitritation/denitritation. Water Research, 2014, 57: 162-171
    [17] 刘吉明, 杨云龙. 短程硝化-反硝化生物脱氮技术研究. 山西建筑, 2004, 30(8): 67-68 Liu Jiming, Yang Yunlong. Research on shortcut nitrification-denitrification. Shanxi Architecture, 2004, 30(8): 67-68(in Chinese)
    [18] 张小玲, 王志盈. 低溶解氧下SBR内短程硝化影响因素试验研究. 环境科学与技术, 2011, 34(1): 163-166 Zhang Xiaoling, Wang Zhiying. Experimental study on influencing factors of short-cut nitrification at low DO concentration. Environmental Science & Technology, 2011, 34(1): 163-166(in Chinese)
    [19] 吕永涛, 王磊, 吴红亚, 等. 短程硝化过程中NO2-N高效富集的工艺条件实验研究.环境工程学报, 2012, 6(1): 77-80 Lü Yongtao, Wang Lei, Wu Hongya, et al. Effects of operating conditions on shortcut nitrification process. Chinese Journal of Environmental Engineering, 2012, 6(1): 77-80(in Chinese)
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出版历程
  • 收稿日期:  2016-01-26
  • 刊出日期:  2016-06-03
徐婷, 王丽, 吴军. 不同pH条件下短程硝化序批实验和数学模拟[J]. 环境工程学报, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
引用本文: 徐婷, 王丽, 吴军. 不同pH条件下短程硝化序批实验和数学模拟[J]. 环境工程学报, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
shu
Xu Ting, Wang Li, Wu Jun. Experimental investigation and mathematical simulation of partial nitrification in batch reactor under different pH[J]. Chinese Journal of Environmental Engineering, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
Citation: Xu Ting, Wang Li, Wu Jun. Experimental investigation and mathematical simulation of partial nitrification in batch reactor under different pH[J]. Chinese Journal of Environmental Engineering, 2016, 10(6): 2840-2846. doi: 10.12030/j.cjee.201512198
shu

不同pH条件下短程硝化序批实验和数学模拟

  • 1. 扬州大学环境科学与工程学院, 扬州 225000
  • 2. 江苏省水文水资源勘测局, 南京 210029
  • 收稿日期:  2016-01-26
基金项目:

国家自然科学基金资助项目(51478410)

摘要: 为考察pH值对短程硝化过程动力学的影响,采用SBR工艺,以人工模拟氨氮废水为研究对象,进行了不同pH条件下的硝化批次实验,对氨氮降解过程进行动力学分析。在Monod方程的基础上,分析pH值对氨氧化菌(AOB)和亚硝酸氧化菌(NOB)生长速率的影响,分别建立了AOB和NOB的生长数学模型。利用MATLAB软件,将模型与硝化阶段实测数据进行拟合,取得良好的模拟效果。在此基础上通过模型预测得到泥龄(SRT)为6 d,溶解氧为1.5 mg O2/L,pH值在7.3~8范围内有利于实现短程硝化。

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