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模拟光伏曝气硝化SBR自动控制策略及其AOB群落结构

马方曙 李安定 李波茵 崔智博 施春红 周北海

马方曙, 李安定, 李波茵, 崔智博, 施春红, 周北海. 模拟光伏曝气硝化SBR自动控制策略及其AOB群落结构[J]. 环境科学研究, 2015, 28(4): 613-620.
引用本文: 马方曙, 李安定, 李波茵, 崔智博, 施春红, 周北海. 模拟光伏曝气硝化SBR自动控制策略及其AOB群落结构[J]. 环境科学研究, 2015, 28(4): 613-620.
MA Fangshu, LI Anding, LI Boyin, CUI Zhibo, SHI Chunhong, ZHOU Beihai. Real-Time Control and Ammonia Oxidizing Bacterial Community Dynamic in a Simulated PV Aeration SBR for Nitrification[J]. Research of Environmental Sciences, 2015, 28(4): 613-620.
Citation: MA Fangshu, LI Anding, LI Boyin, CUI Zhibo, SHI Chunhong, ZHOU Beihai. Real-Time Control and Ammonia Oxidizing Bacterial Community Dynamic in a Simulated PV Aeration SBR for Nitrification[J]. Research of Environmental Sciences, 2015, 28(4): 613-620.

模拟光伏曝气硝化SBR自动控制策略及其AOB群落结构

基金项目: 国家海洋公益性行业科研专项(201405035)

Real-Time Control and Ammonia Oxidizing Bacterial Community Dynamic in a Simulated PV Aeration SBR for Nitrification

  • 摘要: 采用模拟光伏曝气硝化SBR(序批式反应器)去除污水中的NH4+-N,探究适用于反应器硝化过程的自动控制策略,并采用PCR(聚合酶链式反应)和TA克隆考察反应器内AOB(氨氧化细菌)群落结构. 结果表明,反应器可在15 d内成功启动,NH4+-N平均去除率达97.8%,出水ρ(NH4+-N)平均值为0.67 mg/L. ρ(DO)和pH变化曲线上均存在指示氨氧化终点的特征点——氨谷和DO肘,可通过d pH/d t(pH导数)准确判断氨氧化终点,而d ρ(DO)/d t〔ρ(DO)导数〕信号波动较大. Nitrosomonas为反应器内绝对优势AOB,但AOB的群落结构并不稳定,只有2个OTU(分类操作单元)在7个克隆文库(d15、d30、d45、d60、d75、d90和d105)中均有分布,AOB群落结构的平均变化率(Δ15 d)为22.1%±16.5%,20%的AOB累积相对丰度随时间变化范围为40.0%~60.7%,表明维持硝化SBR稳定运行的关键是AOB的多样性及群落结构的动态变化,而不是某些特定的AOB种.

     

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  • 刊出日期:  2015-04-25

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