Water Research X最新文献_第3页

Influence of high-load shocks on achieving mainstream partial nitrification: Microbial community succession

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-13 DOI: 10.1016/j.wroa.2025.100304

Chenjie Jia, Jialin Li, Zhaoyang Li, Liang Zhang

Driving microbial community succession through the regulation of operational strategies is crucial for achieving partial nitrification (PN) in municipal wastewater. However, at present, there is a decoupling between the strategic regulation of PN systems and the succession characteristics of the microbial community. This study examined the correlation between microbial community succession and PN performance under two high-load shocks (HLS1 and HLS2) treating actual sewage. During HLS1, the influent organic loading rate (OLR) and nitrogen loading rate (NLR) increased from 116.7 ± 37.7 to 219.7 ± 24.7 mg COD/(g VSS·d) and 0.21±0.02 to 0.33±0.02 kg N/m³/d respectively, with the nitrite concentration and nitrite accumulation ratio only reaching 11.7 ± 2.7 mg/L and 49.3 ± 13.9 %, respectively. During HLS2, the influent OLR and NLR increased from 123.5 ± 17.2 to 300.3 ± 49.2 mg COD/(g VSS·d) and 0.19±0.03 to 0.32±0.03 kg N/m³/d respectively, resulting in a nitrite accumulation ratio of 89.4 ± 10.7 %. The system achieved efficient PN performance and sustained for 124 days. High-throughput sequencing results showed that community diversity remained consistently high, and the community composition returned to its initial state following a minor succession during HLS1. During HLS2, the high-load shock reduced the richness and evenness of the microbial community. The community underwent succession in a new direction, leading to community composition and function changes. The results indicate that the realization, stabilization, and disruption of PN are influenced not only by operational parameters but also by microbial community structure.

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引用次数: 0

Influence of aquaculture practices on microbiota composition and pathogen abundance in pond ecosystems in South China

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-10 DOI: 10.1016/j.wroa.2025.100302

Shuhui Niu , Chuanlong Li , Jun Xie , Zhifei Li , Kai Zhang , Guangjun Wang , Yun Xia , Jingjing Tian , Hongyan Li , Wenping Xie , Wangbao Gong

Pond microbiota play a crucial role in maintaining water quality and the health of aquaculture species. This study aimed to explore the relationship between pond water and sediment microbiota (especially potential pathogens) and physicochemical parameters under different aquaculture conditions. Samples of pond water and sediment were collected from 21 monitoring sites across eastern, western, and northern Guangdong, and the Pearl River Delta in November 2021, March 2022, and July 2022. Microbial structures were analyzed using high-throughput sequencing of the 16S rRNA gene. The results indicated that sediment microbiota distribution was more uniform than that of water microbiota. Additionally, sampling time significantly influenced the uniformity of water microbiota distribution more than that sediment microbiota. Factors such as aquaculture species, culture pattern, NH₄⁺-N, longitude, latitude, total nitrogen (TN), NO₃⁻-N, NO₂⁻-N, and total phosphorus (TP) were significantly correlated with water microbiota structure, and TN, TP, and organic carbon were significantly correlated with sediment microbiota structure. Furthermore, an increase in the NH₄⁺-N concentration in the pond water significantly increased the variety of pathogenic bacteria. Higher nitrogen levels also increased the relative abundance of Mycobacterium in pond water, whereas the culture pattern (freshwater, seawater, brackish, modern captive culture, freshwater factory container aquaculture, or seawater factory culture) and species significantly influenced the relative abundances of Vibrio, Tenacibaculum, Pseudoalteromonas, and Francisella. Additionally, the relative abundance of pathogenic bacteria in the sediment microbiota was significantly higher than that in the water microbiota. Our results suggest that the culture patterns, species, and nitrogen concentrations should be considered when preventing pathogenic bacteria growth in aquaculture waters.

{"title":"Influence of aquaculture practices on microbiota composition and pathogen abundance in pond ecosystems in South China","authors":"Shuhui Niu , Chuanlong Li , Jun Xie , Zhifei Li , Kai Zhang , Guangjun Wang , Yun Xia , Jingjing Tian , Hongyan Li , Wenping Xie , Wangbao Gong","doi":"10.1016/j.wroa.2025.100302","DOIUrl":"10.1016/j.wroa.2025.100302","url":null,"abstract":"<div><div>Pond microbiota play a crucial role in maintaining water quality and the health of aquaculture species. This study aimed to explore the relationship between pond water and sediment microbiota (especially potential pathogens) and physicochemical parameters under different aquaculture conditions. Samples of pond water and sediment were collected from 21 monitoring sites across eastern, western, and northern Guangdong, and the Pearl River Delta in November 2021, March 2022, and July 2022. Microbial structures were analyzed using high-throughput sequencing of the 16S rRNA gene. The results indicated that sediment microbiota distribution was more uniform than that of water microbiota. Additionally, sampling time significantly influenced the uniformity of water microbiota distribution more than that sediment microbiota. Factors such as aquaculture species, culture pattern, NH<sub>4</sub><sup>+</sup>-N, longitude, latitude, total nitrogen (TN), NO<sub>3</sub><sup>−</sup>-N, NO<sub>2</sub><sup>−</sup>-N, and total phosphorus (TP) were significantly correlated with water microbiota structure, and TN, TP, and organic carbon were significantly correlated with sediment microbiota structure. Furthermore, an increase in the NH<sub>4</sub><sup>+</sup>-N concentration in the pond water significantly increased the variety of pathogenic bacteria. Higher nitrogen levels also increased the relative abundance of <em>Mycobacterium</em> in pond water, whereas the culture pattern (freshwater, seawater, brackish, modern captive culture, freshwater factory container aquaculture, or seawater factory culture) and species significantly influenced the relative abundances of <em>Vibrio, Tenacibaculum, Pseudoalteromonas</em>, and <em>Francisella</em>. Additionally, the relative abundance of pathogenic bacteria in the sediment microbiota was significantly higher than that in the water microbiota. Our results suggest that the culture patterns, species, and nitrogen concentrations should be considered when preventing pathogenic bacteria growth in aquaculture waters.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"27 ","pages":"Article 100302"},"PeriodicalIF":7.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An integrated strategy for sequential nitrite removal and methane recovery: Sludge fermentation driven by nitrite reduction

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-02 DOI: 10.1016/j.wroa.2025.100301

Xiaodi Li, Mengxue Sun, Bo Wang, Wei Zeng, Yongzhen Peng

Although the treatment of sludge with free nitrous acid can effectively recover short chain fatty acids, the feasibility of sequential nitrite reduction and methane recovery without acidic pH adjustment is still scarcely studied. Therefore, this study aimed to provide insights into the effect of nitrite at different levels on nitrite reduction and methane production. The results showed that the nitrite concentrations of 100, 200, 400 and 800 mg/L were completely reduced in 1, 2, 2 and 4 days, respectively. The nitrite reduction process stimulated the fermentation of sludge to produce more organic matters, which served as electron donors for denitrification. With the nitrite concentrations increasing from 200 to 800 mg/L methane production decreased from 128.7 to 0 mg/L at the digestion time of 15 d. The toxicity of nitrite to methanogenic microorganisms and the nitrite reduction process competing with methanogens for carbon sources may lead to the inhibition of methane production by excessive nitrite. Moreover, the methane production reached 184.4 mL with 100 mg/L nitrite reduction, which was increased by 83.2 % compared with that without nitrite addition (101.1 mL). Nitrite reduction stimulated hydrolysis without negatively impacting acetogenesis, thereby providing more substrates for subsequent methanogenesis. Model-based analysis indicated that nitrite reduction enhanced the maximum methane yield and methane production rate, aligning with the aforementioned analysis. 16S rRNA analysis unraveled that the bacterial abundance associated with hydrolysis increased. This anaerobic digestion technique driven by nitrite reduction is both environmentally and economically attractive for increasing methane production.

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引用次数: 0

Nanofluid-peroxydisulfate integrated volumetric solar interfacial evaporation system for water evaporation and organic pollutant removal 用于水蒸发和有机污染物去除的纳米流体-过硫酸氢盐集成体积太阳界面蒸发系统。

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100293

Chenqi Zhu, Debing Wang, Shiying Bu, Zhichao Wu, Jie Zhang, Qiaoying Wang

Solar evaporation exhibits significant potential for the treatment of high-salt organic wastewater. However, it's also confronted with challenges due to the accumulation of organic pollutants and salts in the concentrated wastewater following evaporation, which compromises the long-term stability of evaporation unit and complicates subsequent treatment processes. To address these challenges, a volumetric solar interfacial evaporation (V-SIE) system by integrating Fe₃O₄H₂O nanofluids and peroxydisulfate (PDS) were proposed in this study. In V-SIE system, Fe₃O₄ magnetic nanoparticles (NPs) were prepared as solar receivers to form a volume-absorbing solar energy interface and enhance evaporation efficiency. The results show that the evaporation rate was 1.412 kg/(m²·h) and the solar efficiency reached 93.75 % as the temperature rose to 57.2 ℃. Additionally, the high thermal conductivity of Fe₃O₄ facilitated the effective heat transfer to the fluid and provided sufficient thermal energy to activate PDS, thereby removing 99.3 % of Rhodamine B (RhB). Fe₃O₄ NPs effectively promoted the generation of reactive species including SO₄^·−, ·OH, O₂^·− and ¹O₂ from PDS and the four main stages including N-de-ethylation, chromophore cleavage, ring-opening, and mineralization were proposed as the possible degradation pathway of RhB. This study provides a reference for developing V-SIE system and highlights the positive effect of nanofluids in advanced oxidation processes.

太阳能蒸发在处理高盐有机废水方面显示出巨大的潜力。但蒸发后浓缩废水中有机污染物和盐类的积累也给蒸发机组带来了挑战，影响了蒸发机组的长期稳定性，使后续处理工艺复杂化。为了解决这些问题，本研究提出了一种集成Fe3O4 -H2O纳米流体和过硫酸氢盐（PDS）的体积太阳界面蒸发（V-SIE）系统。在V-SIE系统中，制备Fe3O4磁性纳米颗粒（NPs）作为太阳能接收器，形成体积吸收太阳能界面，提高蒸发效率。结果表明：当温度升高到57.2℃时，蒸发速率为1.412 kg/(m2·h)，太阳能效率达到93.75%；此外，Fe3O4的高导热性促进了流体的有效传热，并提供了足够的热能来激活PDS，从而去除99.3%的Rhodamine B （RhB）。Fe3O4 NPs能有效促进PDS生成SO4·-、·OH、O2·-和1O2等活性物质，并提出了n -去乙基化、发色团裂解、开环和矿化四个主要阶段是RhB可能的降解途径。该研究为V-SIE系统的开发提供了参考，并突出了纳米流体在高级氧化过程中的积极作用。

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引用次数: 0

Enrichment and identification of a moderately acidophilic nitrite-oxidizing bacterium

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2025.100308

Jun Xia , Zicheng Su , Chen Cai , Tao Liu , Zhiguo Yuan , Min Zheng

This study enriched a novel nitrite-oxidizing bacterium (NOB, ‘Candidatus Nitrobacter acidophilus’) in a laboratory reactor operating at pH 4.5 for treating low-strength ammonia wastewater. Batch experiments showed that ‘Ca. N. acidophilus’ oxidized nitrite to nitrate at a rate of 20.7 ± 2.3 μM/h with optimal growth at pH 5, distinguishing it from most previously known NOB strains. Phylogenetic analysis showed that this Nitrobacter strain clustered with other Nitrobacter strains obtained from acidic environments but was divergent from each other with an average nucleotide identity (ANI) below 85 %. Genomic characteristics revealed that ‘Ca. N. acidophilus’ possesses versatile transporter systems. They are different from previously reported Nitrobacter strains and indicate acid adaptation mechanisms. Interestingly, the mutualistic interaction with acidophilic ammonia-oxidizing archaea (AOA) Nitrosotalea markedly increased the archaeal amoA gene expression by 149 times and enhanced ammonia oxidation rates by 5 times, highlighting the NOB's role in alleviating nitrite inhibition on the acidophilic AOA. These findings expand our understanding of bacterial nitrite oxidation and provide valuable insights into an important partnership between acidophilic AOA and NOB in acidic environments.

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引用次数: 0

Spatial-economic scenarios to increase resilience to urban flooding 提高城市洪水抵御能力的空间经济情景。

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100284

Maria Chiara Lippera , Ganbaatar Khurelbaatar , Daneish Despot , Gislain Lipeme Kouyi , Anacleto Rizzo , Jan Friesen

Due to accelerating climate change and the need for new development to accommodate population growth, adaptation of urban drainage systems has become a pressing issue in cities. Questions arise whether decentralised urban drainage systems are a better alternative to centralised systems, and whether Nature Based Solutions' (NBS) multifunctionality also brings economic benefits. This research aims to develop spatio-economic scenarios to support cities in increasing their resilience to urban flooding with NBS. The novelty of our work lies in the automated routines to assess the potential for decentralised NBS within the existing urban catchment. The identification of locations and dimensioning is based on open, publicly available geospatial data. Moreover, a block-based decentralization potential metric is developed to indicate stormwater mitigation potential in any urban setting. The Ecully catchment, Lyon metropolitan area (France), is presented as a case study to achieve zero combined sewer overflow (CSO) for specific design storm events. This planning workflow enables project cost savings through the most suitable allocation of distributed interventions, with cost functions also incorporating scaling effects. By reducing the number of decentralised NBS sites compared to smaller, wide-distributed interventions up to 34 % of project costs are saved when planning for a 5-year design storm and up to 7 % for a 100-year design storm. When the decentralised NBS scenario is analysed alongside other urban stormwater management practices, the centralised constructed wetland for CSO results to be the most economical solution due to the higher retention capacity and scaling effect, significantly outperforming the grey alternatives.

由于气候变化的加速和适应人口增长的新发展需求，城市排水系统的适应已成为城市中一个紧迫的问题。问题出现了，分散的城市排水系统是否比集中式系统更好，以及基于自然的解决方案（NBS）的多功能性是否也带来了经济效益。本研究旨在开发空间经济情景，以支持城市利用NBS增强其对城市洪水的抵御能力。我们工作的新颖之处在于自动化程序，以评估现有城市集水区内分散的NBS的潜力。位置和尺寸的确定是基于开放的、公开的地理空间数据。此外，还制定了基于街区的分散化潜力指标，以表明任何城市环境中的雨水缓解潜力。法国里昂都市地区的Ecully集水区作为案例研究，在特定的设计风暴事件中实现零联合下水道溢出（CSO）。这个计划工作流程通过最合适地分配分布式干预措施来节省项目成本，成本函数也结合了规模效应。与较小的、广泛分布的干预措施相比，通过减少分散的NBS站点的数量，在规划5年设计风暴时可节省高达34%的项目成本，而在规划100年设计风暴时可节省高达7%的项目成本。当将分散的NBS方案与其他城市雨水管理实践一起分析时，中央人工湿地的结果是最经济的解决方案，因为它具有更高的保留能力和缩放效应，显著优于灰色替代方案。

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引用次数: 0

A probabilistic deep learning approach to enhance the prediction of wastewater treatment plant effluent quality under shocking load events 基于概率深度学习的冲击负荷事件下污水处理厂出水水质预测。

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100291

Hailong Yin , Yongqi Chen , Jingshu Zhou , Yifan Xie , Qing Wei , Zuxin Xu

Sudden shocking load events featuring significant increases in inflow quantities or concentrations of wastewater treatment plants (WWTPs), are a major threat to the attainment of treated effluents to discharge quality standards. To aid in real-time decision-making for stable WWTP operations, this study developed a probabilistic deep learning model that comprises encoder-decoder long short-term memory (LSTM) networks with added capacity of producing probability predictions, to enhance the robustness of real-time WWTP effluent quality prediction under such events. The developed probabilistic encoder-decoder LSTM (P-ED-LSTM) model was tested in an actual WWTP, where bihourly effluent quality prediction of total nitrogen was performed and compared with classical deep learning models, including LSTM, gated recurrent unit (GRU) and Transformer. It was found that under shocking load events, the P-ED-LSTM could achieve a 49.7% improvement in prediction accuracy for bihourly real-time predictions of effluent concentration compared to the LSTM, GRU, and Transformer. A higher quantile of the probability data from the P-ED-LSTM model output, indicated a prediction value more approximate to real effluent quality. The P-ED-LSTM model also exhibited higher predictive power for the next multiple time steps with shocking load scenarios. It captured approximately 90% of the actual over-limit discharges up to 6 hours ahead, significantly outperforming other deep learning models. Therefore, the P-ED-LSTM model, with its robust adaptability to significant fluctuations, has the potential for broader applications across WWTPs with different processes, as well as providing strategies for wastewater system regulation under emergency conditions.

以污水处理厂（污水处理厂）的流入量或浓度显著增加为特征的突发冲击负荷事件，是实现经处理的污水排放质量标准的主要威胁。为了帮助污水处理厂稳定运行的实时决策，本研究开发了一个概率深度学习模型，该模型由编码器-解码器长短期记忆（LSTM）网络组成，具有生成概率预测的能力，以增强在此类事件下污水处理厂出水质量实时预测的鲁棒性。开发的概率编码器-解码器LSTM （P-ED-LSTM）模型在实际污水处理厂进行了测试，在该模型中进行了两小时总氮出水质量预测，并与经典深度学习模型（包括LSTM，门控循环单元（GRU）和Transformer）进行了比较。研究发现，在冲击负荷事件下，与LSTM、GRU和Transformer相比，P-ED-LSTM在两小时实时预测出水浓度方面的预测精度提高了49.7%。P-ED-LSTM模型输出的概率数据的分位数越高，表明预测值更接近实际出水质量。P-ED-LSTM模型对冲击负荷情景下的后续多个时间步也表现出较高的预测能力。它提前6小时捕获了大约90%的实际超限放电，显著优于其他深度学习模型。因此，P-ED-LSTM模型具有对显著波动的强大适应性，具有在不同工艺的污水处理厂中更广泛应用的潜力，并为应急条件下的废水系统调节提供策略。

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引用次数: 0

Dual-purpose elemental sulfur for capturing and accelerating biodegradation of petroleum hydrocarbons in anaerobic environment 双用途单质硫在厌氧环境中捕获和加速石油烃的生物降解。

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100290

Qian Zhao , Chengmei Liao , Enli Jiang , Xuejun Yan , Huijuan Su , Lili Tian , Nan Li , Fernanda Leite Lobo , Xin Wang

Hydrophobic organic pollutants in aqueous environments are challenging to biodegrade due to limited contact between microorganisms, the pollutants and the electron acceptor, particularly under anaerobic or anoxic conditions. Here, we propose a novel strategy that uses inexpensive, dual-function elemental sulfur (S⁰) to enhance biodegradation. Using petroleum hydrocarbons as the target pollutants, we demonstrated that hydrophobic and nonpolar S° can concentrate hydrocarbons while simultaneously serving as an electron acceptor to enrich hydrocarbon-degrading bacteria. The permeable reactive barrier filled with S⁰ effectively removed petroleum hydrocarbons. In addition to rapid adsorption, we discovered, for the first time, that petroleum hydrocarbons underwent efficient biodegradation through the reduction of S⁰. Specifically, n-alkanes were degraded by 80 % to 90 % and polycyclic aromatic hydrocarbons by 40 % to 95 %. These degradation rates were 17 % to 30 % and 26 % to 43 % higher, respectively, compared to those observed without S⁰. Consecutive subcultures combined with untargeted metabolomics analysis revealed that bacteria capable of dissimilatory sulfur reduction enhanced the fermentation process. These bacteria provided electrons to the metabolic network, which facilitated the mineralization of petroleum hydrocarbons. Our findings highlight the significant potential of S° for removing hydrophobic organic pollutants in oxygen-free environments, demonstrate the feasibility of integrating adsorption, biodegradation, and electron supply to enhance pollutant removal.

由于微生物、污染物和电子受体之间的接触有限，特别是在厌氧或缺氧条件下，疏水有机污染物在水环境中具有生物降解的挑战性。在这里，我们提出了一种新的策略，即使用廉价的双功能单质硫（S0）来增强生物降解。以石油烃为目标污染物，我们证明了疏水和非极性S°可以浓缩碳氢化合物，同时作为电子受体富集碳氢化合物降解细菌。以S0填充的渗透性反应屏障能有效去除石油烃。除了快速吸附外，我们首次发现石油碳氢化合物通过还原S0进行了有效的生物降解。其中，正构烷烃的降解率为80% ~ 90%，多环芳烃的降解率为40% ~ 95%。这些降解率分别比未添加S0时高17%至30%和26%至43%。连续传代结合非靶向代谢组学分析表明，能够异化硫还原的细菌增强了发酵过程。这些细菌为代谢网络提供电子，从而促进了石油碳氢化合物的矿化。我们的研究结果突出了S°在无氧环境中去除疏水性有机污染物的巨大潜力，证明了将吸附、生物降解和电子供应整合在一起以增强污染物去除的可行性。

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引用次数: 0

Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2025.100309

Minjian Li , Chongqiao Tang , Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

Benchmarking electricity consumption of wastewater treatment plants (WWTPs) is fundamental for sustainable wastewater management, as these facilities have a concomitant electricity-intensive nature along with their pollutant removal and resource recovery functions. Due to the challenge of characterizing influent water quality using traditional methods, satisfactory benchmarks have long been elusive. To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R²) >0.85. The benchmarks are established with four critical parameters influencing electricity consumption: scale, influent quality, discharge standard and treatment process. Regional variations of the four parameters and their effects on regional WWTP electricity consumption are elaborated. Results indicate that the overall influent concentration characterized by spectral clustering is the major influencing factor of regional WWTP annual average electricity consumption per unit of volume (UEC). The findings not only enhance understanding of WWTP electricity consumption patterns and provide a scalable model for wider application, but also demonstrate a novel methodology for addressing multi-variable problems.

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引用次数: 0

Full-scale simultaneous partial nitrification, anammox, and denitrification for the efficient treatment of carbon and nitrogen in low-C/N wastewater 大规模同时部分硝化、氨氧化和反硝化，高效处理低碳氮比废水中的碳和氮。

IF 7.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-01-01 DOI: 10.1016/j.wroa.2024.100288

Xi Cao , Tianqi Liu , Xiang Li , Yong Huang , Qin Nie , Ming Li

A full-scale simultaneous partial nitrification, anaerobic ammonia oxidation (anammox), and denitrification (SNAD) reactor was initiated to address the problem of high energy consumption for the treatment of low C/N wastewater. The SNAD system achieved a nitrogen removal rate of 0.9 kg/(m³·d) at an influent NH₄⁺–N concentration of 500 mg/L after 450 days of stable operation. Partial nitrification was achieved by maintaining free ammonia levels at 0.8 ± 0.3 mg/L and dissolved oxygen concentrations between 0.3 mg/L and 1.2 mg/L, which resulted in synergistic nitrogen removal, with anammox contributing 61 % and denitrification contributing 39 %. Microbiological analyses indicated that the dominant microorganisms were Candidatus Brocadia, Thauera, Denitratisoma, and Nitrosomonas. In conclusion, study provides a solid foundation for the broader implementation of the SNAD process in wastewater treatment systems.

为解决低碳氮比废水处理能耗高的问题，启动了全规模部分硝化-厌氧氨氧化-反硝化（SNAD）反应器。经过450天的稳定运行，SNAD系统在进水nh4 +-N浓度为500 mg/L的条件下，氮的去除率达到0.9 kg/（m3·d）。通过将游离氨浓度维持在0.8±0.3 mg/L，溶解氧浓度维持在0.3 mg/L ~ 1.2 mg/L，实现部分硝化，实现协同脱氮，厌氧氨氧化贡献61%，反硝化贡献39%。微生物学分析表明，优势菌群为布罗卡Candidatus Brocadia、Thauera、脱硝菌和亚硝基单胞菌。总之，该研究为SNAD工艺在废水处理系统中的广泛应用提供了坚实的基础。

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引用次数: 0