混合曝气处理湿地的曝气策略和总氮去除率

IF 2.3 Q3 ENVIRONMENTAL SCIENCES Blue-Green Systems Pub Date : 2023-12-12 DOI:10.2166/bgs.2023.045
Caroline Kimie Miyazaki, Ania Morvannou, Elodie Higelin, J. Nivala, Pascal Molle
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引用次数: 0

摘要

本研究调查了曝气策略对名为 Rhizosph'air® 的紧凑型混合曝气处理湿地 (TW) 去除总氮 (TN) 性能的影响。该系统将单级法式垂直流湿地与曝气水平流湿地相结合,为优化 TN 去除提供了一种独特而灵活的方法。总共测试了七种实验条件,包括不同的曝气模式、水力负荷率和氨添加量。无论实验条件如何,该湿地系统在化学需氧量去除率(>85%)和固体去除率(>90%)方面都表现出很高的性能。不过,TN 的去除率受到操作变化的直接影响。将水力负荷率从 0.15 米/天提高到 0.25 米/天可提高 TN 的去除率,达到 60% 以上。此外,当向进水口添加铵和曝气时间与进水批次负荷时间同步时,环境条件有利于反硝化过程,从而使 TN 去除率达到约 70%,出水 NO3-N 浓度最低(8.70 ± 4.40 mg/L)。总之,根据进水批次负荷确定曝气策略的时间可提高 TN 的去除率,这表明其在未来研究中具有优化的潜力。
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Aeration strategies and total nitrogen removal in a hybrid aerated treatment wetland
This study investigates the impact of aeration strategy on the performance of total nitrogen (TN) removal in a compact hybrid aerated treatment wetland (TW), called Rhizosph'air®. The system combines a single-stage French vertical flow wetland with an aerated horizontal-flow wetland, offering a unique and flexible approach for optimizing TN removal. In total, seven experimental conditions were tested, with different aeration modes, hydraulic loading rates and ammonium addition. The wetland system demonstrated high performance in terms of chemical oxygen demand removal (>85%) and solids removal (>90%), regardless of the experimental condition. However, TN removal was found to be directly impacted by operational changes. Increasing the hydraulic loading rate from 0.15 to 0.25 m/day led to an improvement in TN removal, achieving over 60%. Furthermore, when ammonium was added to the inlet and when the aeration timing was synced with the timing of the influent batch load, the environmental conditions facilitated the denitrification process, resulting in TN removal of approximately 70% and the lowest effluent NO3-N concentrations (8.70 ± 4.40 mg/L). In summary, the timing of the aeration strategy according to influent batch loading improved TN removal, suggesting its potential for optimization in future studies.
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Blue-Green Systems
Blue-Green Systems Multiple-
CiteScore
8.70
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