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海藻糖强化厌氧氨氧化耦合反硝化工艺处理高盐废水的脱氮除碳效能
摘要点击 2110  全文点击 737  投稿时间:2018-03-30  修订日期:2018-04-11
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中文关键词  厌氧氨氧化耦合反硝化  脱氮效能  高盐废水  海藻糖  动力学
英文关键词  simultaneous ANAMMOX and denitrification (SAD)  nitrogen removal efficiency  saline wastewater  trehalose  kinetics
作者单位E-mail
杨振琳 青岛大学环境科学与工程学院, 青岛 266071 506889106@qq.com 
于德爽 青岛大学环境科学与工程学院, 青岛 266071  
李津 青岛大学环境科学与工程学院, 青岛 266071 ljin0532@126.com 
王晓霞 青岛大学环境科学与工程学院, 青岛 266071  
冯莉 青岛大学环境科学与工程学院, 青岛 266071  
中文摘要
      采用SBR反应器研究海藻糖强化厌氧氨氧化耦合反硝化工艺(SAD)处理高盐水的脱氮除碳效能及其动力学特性.当海藻糖为0.25 mmol·L-1时反应器具有最佳的脱氮效能,NH4+-N、NO2--N、NO3--N和COD均可以被完全去除,与没有添加海藻糖相比,NH4+-N、NO2--N和总氮去除率分别提高了50%、43%和46%,氨氮去除速率(ARR)和亚硝氮去除速率(NRR)分别提高了81.25%和75%.当海藻糖浓度进一步提升至0.5 mmol·L-1时,NH4+-N去除率(ARE)仅为58.82%,出水NH4+-N浓度下降为33.25 mg·L-1.相比于Haldane模型和Aiba模型,Luong模型更适合拟合海藻糖添加条件下SAD的脱氮性能.由其得到的NRRmaxKSSmn分别为0.954 kg·(m3·d)-1、0 mg·L-1、184.785 mg·L-1和0.718.与修正的Logistic模型和修正的Boltzman模型相比,修正的Gompertz模型得到的预测值与实验值最为贴近,修正的Gompertz模型更适合描述海藻糖添加条件下单周期内基质的降解过程.
英文摘要
      Enhanced nitrogen and carbon removal performance of simultaneous ANAMMOX and denitrification (SAD) process with trehalose addition treating saline wastewater was investigated in a sequencing batch reactor (SBR). The optimal nitrogen removal was achieved at 0.25 mmol·L-1 trehalose, during which NH4+-N, NO2--N, NO3--N, and COD could be completely removed. Compared to no addition of trehalose, ammonium removal efficiency (ARE), nitrite removal efficiency (NRE) and total nitrogen removal efficiency (TNRE) increased by 50%, 43% and 46%. Ammonium removal rate (ARR) and nitrite removal rate (NRR) increased by 81.25% and 75%, respectively. With increasing concentration of trehalose to 0.5 mmol·L-1, ARE was only 58.82% and the effluent concentration of NH4+-N was 33.25 mg·L-1. Compared to the Haldane model and the Aiba model, the Luong model was the most suitable to simulate the nitrogen removal performance of SAD with trehalose addition treating saline wastewater. The NRRmax, KS, Sm, and n fitted from Luong model were 0.954 kg·(m3·d)-1, 0 mg·L-1, 184.785 mg·L-1, and 0.718, respectively. Compared to the modified Logistic model and the modified Boltzman model, the modified Gompertz model was the most suitable to describe the degradation of a substrate in a single cycle.

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