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    硫自养−异养反硝化深度脱氮系统构建及电子分配特征研究

    Construction and Electron Distribution Characteristics of the Sulfur Autotrophic-Heterotrophic Denitrification System for Advanced Nitrogen Removal

    • 摘要: 针对城市污水处理厂二级出水深度脱氮的需求,构建了一种分段式硫自养−异养反硝化协同系统,探究了不同耦合顺序对脱氮效能和N2O排放的影响,并解析了系统中电子分配的特征。结果表明,硫自养反硝化前置的协同系统(R1)实现了硫自养段硝酸盐高效还原(去除率>75%)和亚硝酸盐累积(6~8 mg/L),随后异养段进一步深度去除剩余氮基质,使最终出水总氮浓度降至4~5 mg/L,去除率达75.5%。相比之下,异养反硝化前置的协同系统(R2)中并未发现明显的反硝化中间产物累积。同时,R1系统的N2O排放因子仅为0.12%,显著低于R2系统的0.64%。进一步的批次实验表明,R1系统中硫自养段电子优先分配给硝酸盐还原酶(NAR占比45.36%),而异养段电子更多流向反硝化下游酶(NIR、NOR和NOS),这可能促进了N2O的还原去除。2个系统中的功能微生物组成较为相似,硫自养段均以硫杆菌属(Thiobacillus,54.25%~69.00%)为主导,异养段则为伯克霍尔德菌科(Burkholderiaceae,15.82%~24.21%)和陶厄氏菌属(Thauera,5.87%~16.45%)占优势。本研究为城市污水处理厂二级出水高效深度脱氮与N2O控制提供了新思路。

       

      Abstract: Stringent nitrogen discharge standards necessitate advanced treatment technologies for secondary effluent from municipal wastewater treatment plants (WWTPs). Conventional heterotrophic denitrification faces limitations, such as dependence on organic carbon and potential emissions of nitrous oxide (N2O), a potent greenhouse gas. To address these challenges, this study established and systematically evaluated a novel staged denitrification system integrating sulfur autotrophic and heterotrophic processes. The effects of two coupling configurations—sulfur autotrophic followed by heterotrophic (R1) versus heterotrophic followed by sulfur autotrophic (R2)—were investigated in terms of overall nitrogen removal efficiency, N2O emission dynamics, and the underlying electron distribution patterns within the microbial consortia. The results demonstrated that the R1 configuration exhibited superior nitrogen removal performance. In the initial sulfur autotrophic stage, high nitrate removal efficiency (> 75%) was achieved, accompanied by consistent nitrite accumulation (6–8 mg/L), indicating incomplete denitrification. This intermediate was subsequently utilized in the downstream heterotrophic stage, facilitating the near-complete removal of residual nitrogen substrates. Consequently, the R1 system produced a final effluent with a remarkably low total nitrogen (TN) concentration of 4–5 mg/L and a TN removal efficiency of 75.5%. In contrast, the R2 system, starting with heterotrophic denitrification, demonstrated negligible accumulation of denitrification intermediates but achieved a lower overall TN removal efficiency. Critically, the R1 configuration yielded a significantly lower N2O emission factor (0.12% of the removed TN) compared to the R2 system (0.64%), highlighting its environmental advantage in mitigating greenhouse gas emissions. To elucidate the mechanistic basis for these performance differences, targeted batch experiments were conducted to quantify electron flux distribution among key denitrifying enzymes. The results indicated that in the sulfur autotrophic stage of R1, electrons were preferentially channeled towards nitrate reductase (NAR), accounting for 45.36% of the total electron flux. Conversely, in the subsequent heterotrophic stage, a substantially larger proportion of electrons was allocated to the downstream enzymes nitrite reductase (NIR), nitric oxide reductase (NOR), and nitrous oxide reductase (NOS). This electron allocation pattern in the heterotrophic phase likely promoted the efficient reduction and removal of N2O, contributing to the lower emissions observed in the R1 system. Microbial community analysis revealed structural similarities between the systems, with the sulfur autotrophic stage dominated by the genus Thiobacillus (54.25%–69.00%), renowned for its sulfur-oxidizing denitrification capability. The heterotrophic stages were primarily colonized by members of the family Burkholderiaceae (15.82%–24.21%) and the genus Thauera (5.87%–16.45%). This study provides compelling evidence that the staged system, particularly with autotrophy preceding heterotrophy (R1), is a highly effective and sustainable strategy. It simultaneously achieves advanced nitrogen removal and significantly reduces N2O emissions, offering a promising solution for enhancing the environmental sustainability of municipal WWTPs.

       

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