Next Article in Journal
Characterising Rhythmic and Episodic Pulsing Behaviour in the Castleton Karst, Derbyshire (UK), Using High Resolution in-Cave Monitoring
Previous Article in Journal
Phytoplankton Diversity and Co-Dependency in a Stratified Oligotrophic Ecosystem in the South Adriatic Sea
Previous Article in Special Issue
Impact of Dissolved Oxygen on the Performance and Microbial Dynamics in Side-Stream Activated Sludge Hydrolysis Process
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of the Partial Nitrification/Anammox Performance and Microbial Structure of Low C/N Wastewater by A2/O Process

College of Environmental Science and Engineering, Nanjing Tech University, Nanjing 211816, China
*
Author to whom correspondence should be addressed.
Water 2023, 15(12), 2300; https://doi.org/10.3390/w15122300
Submission received: 26 April 2023 / Revised: 12 June 2023 / Accepted: 14 June 2023 / Published: 20 June 2023
(This article belongs to the Special Issue Water-Sludge-Nexus)

Abstract

:
Given the carbon limitation of low C/N wastewater, the improvement of nitrogen-removal efficiency remains a challenging task of municipal wastewater treatment plants (WWTPs) in China. In this study, a partial nitrification/anammox (PN/A) system was established to facilitate the anaerobic-anoxic-aerobic (A2/O) treatment of low C/N (C/N = 3) wastewater with insufficient carbon sources. Effects of dissolved oxygen (DO) concentration and internal reflux ratio on nitrogen-removal efficiency and pathway were investigated. Under the optimal DO (0.5–0.8 mg·L−1) and internal reflux ratio (250%), the highly efficient NH4+-N removal (97.21%) and TN removal (80.92%) were achieved based on PN/A. Moreover, the relative abundance of ammonia-oxidizing bacteria (Nitrosomonas) was 3 times higher than the abundance of nitrite-oxidizing bacteria (Nitrospira) in phase V, which was the main cause of PN in the reactor. Anaerobic ammonia-oxidizing bacteria (Candidatus Brocadia, Pirellula, and Gemmata) were also found and considered as the key microbes involved in anammox. This study reports that the A2/O process can achieve advanced nitrogen removal of low C/N wastewater based on PN/A by optimizing conventional process parameters. The outcomes of this study may provide practical engineering applications as a reference for nitrogen removal based on the A2/O process.

1. Introduction

Sewage discharge in natural water bodies has become a serious environmental concern, as it contains large amounts of nitrogenous pollutants that cause eutrophication of water bodies [1]. Water pollution causes serious health concerns and limits the availability of clean water for humans as well as for the ecosystem. Therefore, it is necessary to conduct efficient and stable nitrogen-removal treatment of sewage. In order to remove the pollutants in wastewater, various degradation technologies such as the physicochemical method [2], photocatalytic technology [3], and biodegradation [4] method are recommended. Currently, the traditional biological nitrogen-removal (BNR) method is most commonly used for wastewater treatment, which is facilitated by nitrification and denitrification processes [5]. However, the traditional BNR technology is less efficient for treating high NH4+-N and low C/N wastewater. Due to insufficient influent carbon sources in wastewater treatment plants (WWTPs) in China, additional organic carbon sources need to be added during the denitrification stage to improve the removal efficiency [6]. Additionally, low nitrogen removal efficiency caused by insufficient feedwater carbon sources is also a bottleneck of BNR. As the water quality standards of WWTPs in China become more stringent, it is of great significance to upgrade the sewage treatment plants to improve the nitrogen removal efficiency of BNR system.
Partial nitrification/anammox (PN/A), a new method of nitrogen removal, is considered a promising alternative to BNR due to its autotrophic denitrification [7]. In the PN/A process, approximately 50% of NH4+-N is converted to NO2-N by the oxidation of ammonia-oxidizing bacteria (AOB) (Equation (1)) [8]. Meanwhile, ammonia-oxidizing bacteria (AnAOB) use NO2-N generated as an electron acceptor to convert NH4+-N remaining to N2, according to Equation (2) [9].
NH3 + 1.5 O2 → NO2-N + H2O + H+
NH3 + 1.32 NO2 + H+ → 1.02 N2 + 2 H2O + 0.26 NO3
Therefore, the PN/A process offers unique advantages of no external carbon sources consumption, high nitrogen removal efficiency, and low DO demand [10,11]. The PN/A process has become a research hotspot for the treatment of low C/N wastewater [12]. By regulating the hydraulic retention time (HRT), Hou et al. [13] initiated anammox in a sequencing batch reactor (SBR) and an up-flow anaerobic sludge bed reactor (UASB) at ~25 °C and <0.5 mg·L−1 DO. Wu et al. [14] achieved enrichment of ammonia-oxidizing bacteria (AOB) and anaerobic ammonia-oxidizing bacteria (AnAOB) while maintaining the reflux ratio at 300%. Through real-time monitoring and control of pH, Yang et al. [15] initiated PN/A in an SBR reactor. These studies showed that a stable PN/A system could be achieved by optimizing the parameters for increasing nitrogen removal efficiency and reducing the requirement for additional carbon sources. However, in most of these studies, an appropriate amount of AnAOB was added to the reactors. At the same time, the reactors were intentionally fed with low organic matter concentration and sufficient NO2-N influent water, which promoted the metabolism and reproduction of AnAOB. These are difficult to achieve in the practical application of sewage treatment engineering. Few researchers have investigated PN/A through anaerobic-anoxic-aerobic (A2/O) process, which is the most mainstream wastewater treatment process in domestic WWTPs. Approximately 21% of total wastewater is treated by these WWTPs using A2/O [16]. Simultaneously, the A2/O process has the advantages of low operating cost, strong impact resistance, easy maintenance, and high adjustability, which make it conducive for engineering applications. Therefore, it is important to improve the denitrification efficiency of A2/O processes during low C/N wastewater treatment by adjusting conventional process parameters.
In this study, a PN/A-based A2/O process was developed to treat wastewater with low C/N. Changes in the nitrogen-removal ability, pollutant transformation, and microbial community structure were investigated in response to the varying operational parameters (i.e., DO and reflux ratio). The study aims to provide new ideas for the PN/A application in WWTPs.

2. Materials and Methods

2.1. Operation of the Continuous Process

The experimental system consisted of an A2/O reactor (working volume: 13.8 L) and a secondary sedimentation tank (5 L) (Figure 1). As shown in Figure 1, the A2/O reactor was composed of six compartments of the same size, including one cell in the anaerobic zone, two cells in the anoxic zones, and three cells in the aerobic zones. The synthetic wastewater was pushed upward, passed through each cell successively, and finally flowed into the secondary sedimentation tank. The aerobic sections were oxygenated by a microporous aeration system, and the DO concentration was controlled by a gas rotor flowmeter timely. The inflow rate, nitrification reflux ratio, and sludge reflux ratio of the reaction system were adjusted by peristaltic pumps. Mechanical stirrers were set up in the anaerobic and anoxic zones to supply for mixing.
During the operating stage, HRT and sludge retention time (SRT) were maintained at 14 h and 15–20 days, respectively. The concentration of mixed liquid-suspended solids (MLSS) was about 3100–3460 mg·L−1. The temperature was controlled at around 25 °C using heaters. Synthetic wastewater with CH3COONa and NH4Cl (C/N = 3) was used as the feed. According to the regulation of the DO concentration of the aerobic zones and nitrification reflux ratio in the A2/O process, the experimental process was divided into five phases. The operating parameters and characteristics of the influent are shown in Table 1.

2.2. Analytical Methods

The concentrations of NH4+-N, NO3-N, NO2-N, total nitrogen (TN), and MLSS were analyzed following the standard method recommended by the Chinese State Environmental Protection Administration, 2002. COD was measured through HACH fast digestion method. The pH and temperature were monitored by Leici PHS-25 pH meters. DO was measured by Leici JPB-607A DO probes.

2.3. Calculations of Experimental Index

2.3.1. Calculation of Nitrite Accumulation Rate

Calculation method of nitrite accumulation rate (NAR):
NAR = NO 2 N NO 2 - N + NO 3 N
where, NO2-N and NO3-N denote the concentrations of NO2-N and NO3-N in the last aerobic cell, respectively.

2.3.2. Calculation of Pollutants Mass Balance

The mass balance of the nitrogenous pollutants is shown in Figure 2. The nitrogenous pollutant material balance in the anaerobic and anoxic zones in the system could be calculated as follows using Equations (4) and (5).
Δ C ana = Q inf × C inf + Q slu × C eff Q inf + Q slu   C ana
Δ C ano = C ana × Q inf + Q slu + Q R × C aer Q inf + Q slu + Q R   C ano
where, ΔCana and ΔCano represent the concentrations of pollutants changed in the last cells of the anaerobic zone and anoxic zones (mg·L−1), respectively. Cinf and Ceff denote pollutants concentrations of influent and effluent (mg·L−1), respectively. Cana, Cano, and Caer are the concentrations of pollutants at the end of the anaerobic zone, anoxic zones, and aerobic zones (mg·L−1), respectively. Qinf, Qeff, QR, and Qslu are inlet and outlet water flow, internal return flow, and sludge return flow (L·h−1).

2.4. Microbiological Analysis

DNA extraction, gene amplification, and high-throughput sequencing were used to analyze the composition of microorganisms in the reactor. Sludge mixture samples were collected from each reaction zone (anaerobic, anoxic, and aerobic) on the last day of the test phase. In this test, 5 mL mixed sample was taken and centrifuged at 10,000 r/min for 10 min. The supernatant was discarded, and DNA was extracted following the instruction of the Fast DNA Spin Kit for Soil. All samples were stored at −80 °C. The sample was checked for the quality of the extracted DNA by agarose gel electrophoresis, and we used a spectrophotometer to determine DNA concentration and purity.
Primer sequences 515F (5′-GTGCCAGCMGCCGCGGTAA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′) in the V4 region of the bacterial 16S rRNA were selected for PCR amplification. High-throughput sequencing was then performed on the Illumina MiSeq platform. The effective sequences obtained after sample homogenization were classified using the Ribosomal Database Project (RDP), and the microbial community characteristics of the system were analyzed simultaneously.

3. Results and Discussion

3.1. Performance of Nitrogen Removal under Different DO Concentrations

NH4+-N and TN removal as well as concentrations in influent and effluent under different DO concentrations (phases I–III), are shown in Figure 3. The average concentrations of NH4+-N in the effluent during phase I, II, and III were 1.96, 3.21, and 2.39 mg·L−1, respectively (Figure 3a). The observed NH4+-N concentrations in the effluent were less than the pollutant discharge standards set for the municipal wastewater treatment plants (GB18918-2002) [17] in China (NH4+-N ≤ 5.0 mg·L−1). In phase I (DO in the aerobic zones: 2–3 mg·L−1), enrichment of nitrifying bacteria was observed, and the nitrification effect was the best. Therefore, NH4+-N may have been mostly converted into NO3-N, and NO2-N did not accumulate. With the decrease in DO concentration during phase II and Ⅲ, the NH4+-N concentrations in effluent varied. However, the average NH4+-N removal efficiencies remained above 95%. Due to sufficient HRT (6.9 h) in the aerobic zone, oxidation of NH4+-N was less affected by the decrease in DO concentration. Liu et al. [18] also reported good nitrification in the system with low DO concentration (0.37 mg·L−1), sludge age of 10 days, and HRT of 6 h in the aerobic zone.
Figure 3b shows that the TN concentrations in the effluent during phases I, II, and III were 24.61, 20.22, and 18.03 mg·L−1, respectively, while the TN removal efficiencies were 68.65%, 74.29%, and 77.23%, respectively. From phase I to phase III, the DO concentrations were 0.13, 0.09, and 0.05 mg·L−1 in the anaerobic zone, while 0.26, 0.15, and 0.10 mg·L−1 in the anoxic zone. The DO concentration in the reflux nitrification solution was higher in phase I, which could decrease the denitrification efficiency. In phases II and III, the DO concentration in the aerobic zone continued to decrease, while the anoxic zone remained in an anaerobic state with 0.1 mg·L−1 DO, which resulted in enhanced denitrification and nitrogen-removal efficiency. This finding was in agreement with the previous research reported by Li et al. [19]. Li et al. observed that a decrease in DO concentration in the aerobic zone (from 2 to 0.5 mg·L−1) led to improved denitrification and a subsequent increase in TN removal rate.
Three parallel experiments were conducted to detect the concentrations of NH4+-N, NO3-N, and NO2-N in the different sections of the reactor during phases I to III. At the same reflux dilution (200%), good NH4+-N removal was observed due to nitrification in the aerobic zone. However, NH4+-N removal was significantly different in the anaerobic and anoxic zones. The changes in NH4+-N concentration in the system during phase I-III are shown in Figure 4a. The removal rates of NH4+-N in the anaerobic and anoxic zones during phase I, II, and III were 5.22%, 9.21%, and 14.12%, respectively. The gradually enhanced NH4+-N removal efficiency in the anaerobic and anoxic zones indicated the existence of certain anammox denitrification phenomena in the anaerobic and anoxic zones in the A2/O reactor.
As shown in Figure 4b, no noteworthy difference was observed in the removal of NO3-N in the anoxic zone, while the generation of NO3-N in the aerobic zone began to show an obvious decreasing trend. Meanwhile, in phase II and III, the NO2-N concentration in the aerobic zone increased significantly (Figure 4c). This increase can be attributed to the partial nitrification of NH4+-N in the aerobic zone with low DO concentration. The accumulation rates of nitrite nitrogen (NAR) in the last aerobic cell during phase I, II, and III were 0.93%, 28.68%, and 40.24%, respectively. NAR of the last aerobic cell increased substantially in phase II, and partial nitrification occurred in the aerobic zone in phase III. This finding was consistent with the research by Wei et al. [20], in which partial nitrification was initiated by controlling the DO concentration between 0.5 to 0.8 mg·L−1 at around 25 °C.
AOB shows stronger hypoxic affinity and doubling rate than nitrate-oxidizing bacteria (NOB). By controlling DO concentration in the reactor, selective amplification of AOB and elimination of NOB can be achieved progressively [21,22]. NO2-N accumulated due to partial nitrification flowed back to the anaerobic and anoxic zones and was rapidly utilized by AnAOB.

3.2. Performance of Nitrogen Removal under Different Reflux Ratios

At the beginning of the experiment, an internal reflux ratio of 200% was maintained. During the optimization tests (phase IV–V), the pollutant removal efficiency of the process was investigated. Reflux ratios of nitrification liquid in phases IV and V were 250% and 300%, respectively. Figure 5a illustrates the effect of three different reflux ratios on NH4+-N removal efficiency. For reflux ratios of 200%, 250%, and 300%, the average NH4+-N removal efficiencies were 96.92%, 97.21%, and 97.33%, respectively, and effluent concentrations were less than 2.39, 2.15, and 2.07 mg·L−1, respectively. These observations suggest that the reflux ratio did not have any remarkable impact on the NH4+-N removal efficiency. During phases IV and V, NH4+-N concentrations in effluent were higher than that of phase III. This increase can be attributed to the increase in reflux ratio during phases IV and V, which shortened the HRT in the aerobic zone and inhibited nitrification.
The average TN concentrations in the effluent from phase III to phase V were 18.03, 14.93 and 13.90 mg·L−1, respectively, while the respective TN removal efficiencies (average) were 77.24%, 80.92%, and 81.13% (Figure 5b). At reflux ratios of 250% and 300%, the effluent quality satisfied the first-class discharge A criteria (GB 18918-2002). With the increase in nitrification reflux ratio, the TN removal rate increased, and the growth rate of removal efficiency gradually decreased. These observations were similar to the results reported by Chen et al. [23]. After refluxing of nitrified liquid back to the anoxic zone, the organic carbon in the influent was used for denitrification, which improved the TN removal rate. Simultaneously, the COD concentration in the anoxic zone decreased after dilution by refluxed effluent. This led to the alleviated influence on autotrophic microorganisms, which further enhanced anammox. However, the high reflux ratio not only led to a high nitrate load in the anoxic zone but also reduced the C/N value of the system. Theoretically, nitrite denitrification requires a ratio of COD to total Kjeldahl nitrogen (TKN) greater than 2.5, while nitrate denitrification requires a COD/TKN of 4.0 [24,25]. Therefore, a lack of carbon sources can hinder the process of denitrification. Under the condition of low influent C/N in this experiment, high nitrification reflux ratio could have aggravated the problem of insufficient available organic carbon sources. Therefore, considering energy saving and reduced consumption combined with NH4+-N and TN effluent concentrations, the optimal reflux ratio was determined as 250%.

3.3. Analysis of Functional Microbial Community for Systemic Nitrogen Transformation

3.3.1. Alpha-Diversity of Microbial Community

The microbial community structure was analyzed in the sludge samples collected from the anaerobic zone, anoxic zone, and aerobic zone (i.e., An, A, and O) in phase V to explore the mechanism of efficient nitrogen removal in the system. The alpha diversity index of the sludge samples is summarized in Table 2.
As shown in Table 2, the coverage indices of all samples were greater than 98%, which confirms that the sequencing volumes covered most species in the samples. The Shannon and the Simpson indices showcase the diversity in the microbial community. A high Shannon index and a low Simpson index indicate high microbial diversity in the microbial community. The Chao index and Ace index reflect microbial community richness. From the anaerobic zone to the aerobic zone, a decrease in the alpha diversity index was observed, which indicates the decline in the richness and diversity of the microbial community. The decline in microbial diversity and richness can be due to the low-carbon and low-oxygen environment leading to higher microbial mortality.

3.3.2. Phylum-Level Microbial Community Composition

Figure 6 shows the composition of sludge samples at the phylum level. Phyla with >1% relative abundance were regarded as the main phyla, and the remaining phyla were classified as “others”. Chloroflexi, Proteobacteria, Bacteroidetes, Planctomycetes, Acidobacteria, Verrucomicrobiota, and Armatimonadetes were observed as the top seven phyla in terms of species abundance. The phylum-level microbial composition observed in this study was similar to the composition reported by previous researchers [26,27]. The results implied that the most dominant microbial phyla in the system were Chloroflexi (18.37–30.66%), Proteobacteria (17.31–29.05%), and Bacteroidetes (16.04–21.92%).
As a common phylum in the anammox system, Chloroflexi consists of mostly linear facultative anaerobic bacteria, which move by gliding. A high abundance of this phylum was also observed in the ammoxidation study carried out by Ya et al. [28]. Some literature has reported that Chloroflexi can contribute to the decomposition of metabolites in AnAOB and reflect the denitrification ability of anammox sludge [29,30]. Furthermore, the large number of filamentous bacteria belonging to the Chloroflexi phylum may serve as skeletons or carriers in the sludge system [31]. As the main phylum involved in the formation of granular sludge, the filamentous bacteria from the Chloroflexi phylum can intertwine to form a granular core, which is conducive to the formation of anammox granular sludge [32]. Therefore, Chloroflexi can be considered a significant phylum in the anammox system. A relevant study revealed that Proteobacteria contained a variety of bacteria associated with denitrification function and could reduce NO3-N generated by anammox through endogenous denitrification [33]. Most of the bacteria in the Bacteroidetes phylum are anaerobic rods that could live in anoxic and hypoxic environments, and many bacteria (i.e., AOB, NOB, and denitrifying bacteria) have been reported to be closely associated with nitrogen conversion [34]. Due to uneven aeration, some anoxic areas existed in the aerobic zone of phase V under low DO operating conditions, which may have favored the survival of anaerobic Bacteroidetes. The abundances of Planctomycetes, the main phyla of anammox bacteria, were 10.95%, 12.54%, and 8.09% in the three samples (i.e., An, A, and O), respectively. A similar trend was observed in the anammox study by Xu et al. [35], which reported a higher abundance of Proteobacteria and Bacteroidetes than that of Planctomycetes. Some bacteria leading to short-range denitrification in Bacteroidetes can reduce NO3-N and accumulate NO2-N in the aerobic zone to provide substrate for anammox bacteria. Therefore, high abundances of Bacteroidetes (21.92%) and Planctomycetes (8.09%) were detected in the aerobic zone.

3.3.3. Genus-Level Microbial Community Composition

The genus distribution in the sludge microbial community from different zones is shown in Figure 7. The genus with <0.05% relative abundance were classified as “others” and are not shown in the figure. The dominant AnAOB detected in the A2/O system were Candidatus Brocadia (0.22–0.35%), Pirellula (0.21–0.33%), and Gemmata (0.1–0.21%). Compared to other types of AnAOB in the Brocadiaceae family, Candidatus Brocadia has been reported to utilize some organic matter as an electron donor, which helps these microbes to surpass the substrate competition [36]. Heterotrophic denitrifying bacteria in the anaerobic zones have been reported to inhibit AnAOB at COD ≥ 200 mg·L−1, with absolute inhibition at COD > 290 mg·L−1 [37]. The biodegradable organic carbon source in influent greatly promoted denitrification by heterotrophic bacteria while inhibiting the competition for NO2-N substrate with AnAOB. The high COD concentration in the influent was the main reason for the genus-level relative abundance of AnAOB being stable at 0.79% in the system. Chen et al. [38] also found the obvious presence of anammox in the reaction under high COD concentration and low relative abundance (0.76%) of AnAOB.
At the same time, other typical microorganisms (i.e., AOB, NOB, and denitrifying bacteria) that contributed greatly to the nitrogen-removal performance of the A2/O system had high relative abundance in the system. The relative abundance of Nitrosomonas (AOB) and Nitrospira (NOB) in the aerobic zones were 3.47% and 0.81%, respectively, and the abundance of AOB was about 3 times higher than that of NOB. It confirmed the phenomenon of partial nitrification in the aerobic zones of the system at low DO concentrations. Earlier, Bartosch et al. [39] also reported similar findings highlighting the high sensitivity of NOB to DO and weaker competitiveness than AOB under low oxygen conditions in activated sludge. The nitrobacteria Ellin6067 (0.77%) was also detected in the system. A previous study has reported that Ellin6067 is involved in the partial nitrification process, and it can jointly build a PN/A microbial system with AnAOB to promote the anammox in the system [40]. Azospira, Terrimonas, Anaerolineaceae, Prosthecobacter, and other denitrifiers that have been reported in previous studies [41,42] were also found to be highly prevalent in the anaerobic and anoxic zones of the system. Denitratisoma (1.23%) genus was also found in the aerobic zone of the system, which consists of denitrifying bacterial species with the ability to aid AnAOB in removing nitrogen [43]. A 0.89% relative abundance of Denitratisoma was detected in the AGS-SBR reactor studied by Xin et al. [44], which was operated in the low-oxygen condition for a long time.
In addition, norank_f__norank_o__SBR1031, norank_f__A4b, and OLB13 belonging to the Chloroflexi phylum were also dominant species in the A2/O system. These bacteria were proved to be able to adapt to low-carbon conditions and were active in collaborative cooperation with AOB [45]. In anammox systems, they can not only provide a biofilm framework for AnAOB but also eliminate the inhibitory effects of DO and COD on AnAOB. From the perspective of the genus-level structure, the synergistic actions of various nitrogenization-related bacteria in the reactor resulted in a good nitrogen removal efficiency of the system.
From the results of microbial community composition testing, it can be found that heterotrophic denitrification and anammox (autotrophic) occurred in the anaerobic and hypoxic regions of the reactor. In the aerobic zone, most nitrifying bacteria were AOB (Nitrosomonas), and NH4+-N was mainly nitrated to NO2-N. Due to the inhomogeneity and inadequacy of aeration, a small number of denitrifying bacteria (i.e., Denitratisoma) also carried out denitrification reactions in the aerobic zone. The mechanism of effective denitrification in the system is shown in Figure 8.

4. Conclusions

A continuous A2/O process based on PN/A was implemented in this study for treating wastewater with low C/N (C/N = 3). Effective pollutant removal was obtained with the average NH4+-N and TN concentration of 2.15 and 14.93 mg·L−1 in the effluent, under controlled DO of 0.5–0.8 mg·L−1 in each aerobic zone, and the optimum reflux ratio of 250%. In addition, the dominant bacterial phyla in the system were Chloroflexi (26.03%), Proteobacteria (21.48%), and Bacteroidetes (18.65%). At the genus level, a high abundance of Candidatus Brocadia, Pirellula, and Gemmata was detected, and the overall relative abundance of AnAOB was 0.79%. Nitrosomonas and Nitrospira were the dominant AOB and NOB in the system (aerobic region), with relative abundance of 3.47% and 0.81%, respectively. AnAOB cooperated with various denitrifying microorganisms for nitrogen removal in the PN/A system. Based on these results, the PN/A system constructed with an A2/O process is a promising technology to provide a reference for the low C/N wastewater treatment by WWTPs in China.

Author Contributions

Conceptualization, Methodology, Investigation, Formal Analysis, Writing-Original Draft, L.Y.; Data Curation, Writing—Original Draft, Y.Z.; Writing—Review and Editing, L.T. and S.C.; Conceptualization, Resources, Writing—Review and Editing and Funding acquisition, X.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the nature of this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Huang, L.; Li, Z.; Wang, G.; Hou, Y.; Han, J.; Yi, F. A2O–MBR–BAF–O3 process for treating high organic wastewater with high ammonia nitrogen. Biochem. Eng. J. 2022, 186, 108574. [Google Scholar] [CrossRef]
  2. Ling, L.; Wenwang, Z.; Ye, Y.; Hui, Z.; Changming, Z. Effects of salinity shock on simultaneous nitrification and denitrification by a membrane bioreactor: Performance, sludge activity, and functional microflora. Sci. Total Environ. 2021, 801, 149748. [Google Scholar]
  3. Li, X.; Liu, T.; Zhang, Y.; Cai, J.; He, M.; Li, M.; Chen, Z.; Zhang, L. Growth of BiOBr/ZIF-67 Nanocomposites on Carbon Fiber Cloth as Filter-Membrane-Shaped Photocatalyst for Degrading Pollutants in Flowing Wastewater. Adv. Fiber Mater. 2022, 4, 1620–1631. [Google Scholar] [CrossRef]
  4. Wang, Q.; Kong, J.; Liang, J.; El-Din, M.G.; Zhao, P.; Xie, W.; Chen, C. Nitrogen removal intensification of aerobic granular sludge through bioaugmentation with “heterotrophic nitrification-aerobic denitrification” consortium during petroleum wastewater treatment. Bioresour. Technol. 2022, 361, 127719. [Google Scholar] [CrossRef]
  5. Alireza, M.S.; Mohammad, M.; Maryam, K.; Shaliza, I. Effect of air flow rate and C/N ratio on biological nitrogen removal through the CANON process treating reject water. Environ. Technol. 2018, 39, 2891–2899. [Google Scholar] [CrossRef]
  6. Zhang, W.; Peng, Y.; Ren, N.; Liu, Q.; Chen, Y. Improvement of nutrient removal by optimizing the volume ratio of anoxic to aerobic zone in AAO-BAF system. Chemosphere 2013, 93, 2859–2863. [Google Scholar] [CrossRef]
  7. Sen, Q.; Tian, T.; Xiumei, D.; Jiti, Z.; Yingjun, C. Novel single-stage autotrophic nitrogen removal via co-immobilizing partial nitrifying and anammox biomass. Chem. Eng. J. 2013, 230, 19–26. [Google Scholar]
  8. Ding, S.; Bao, P.; Wang, B.; Zhang, Q.; Peng, Y. Long-term stable simultaneous partial nitrification, anammox and denitrification (SNAD) process treating real domestic sewage using suspended activated sludge. Chem. Eng. J. 2018, 339, 180–188. [Google Scholar] [CrossRef]
  9. Zhao, J.; Wang, X.; Li, X.; Jia, S.; Peng, Y. Advanced nutrient removal from ammonia and domestic wastewaters by a novel process based on simultaneous partial nitrification-anammox and modified denitrifying phosphorus removal. Chem. Eng. J. 2018, 354, 589–598. [Google Scholar] [CrossRef]
  10. Wang, Y.; Ji, X.M.; Jin, R.C. How anammox responds to the emerging contaminants: Status and mechanisms. J. Environ. Manag. 2021, 293, 112906. [Google Scholar] [CrossRef]
  11. Qi, Z.; Jinli, Z.; Leizhen, Z.; Wenru, L.; Liwei, C.; Tianming, C.; XiaoMing, J. Succession of microbial communities reveals the inevitability of anammox core in the development of anammox processes. Bioresour. Technol. 2023, 371, 128645. [Google Scholar] [CrossRef]
  12. Yan, F.; Lei, W.; Qiong, Z.; Xiyao, L.; Shuying, W.; Yongzhen, P. Double anammox process in the AOAO process of treating real low C/N sewage: Validation, enhancement, and quantification of the contribution of anammox in the oxic zone. Sci. Total Environ. 2022, 849, 157866. [Google Scholar] [CrossRef]
  13. Hou, Z.; Jia, Z.; Fu, J.; Shi, X.; Li, Q.; Chen, R. Enhanced nitrogen removal efficiency of partial nitrification/anaerobic ammonia oxidation (PN/A) on the effluent of municipal wastewateranaerobic treatment unit. Chin. J. Environ. Eng. 2022, 16, 806–813. [Google Scholar]
  14. Wu, L.; Zhang, L.; Shi, X.; Liu, T.; Peng, Y.; Zhang, J. Analysis of the impact of reflux ratio on coupled partial nitrification–anammox for co-treatment of mature landfill leachate and domestic wastewater. Bioresour. Technol. 2015, 198, 207–214. [Google Scholar] [CrossRef] [PubMed]
  15. Xiao, H.; Peng, Y.; Zhang, Q.; Liu, Y. Partial nitrification coupled anaerobic ammonia oxidation process to treat low C/N domestic sewage. CIESC J. 2018, 69, 3635–3642. [Google Scholar]
  16. Zhang, Q.H.; Yang, W.N.; Ngo, H.H.; Guo, W.S.; Jin, P.K.; Dzakpasu, M. Current status of urban wastewater treatment plants in China. Environ. Int. 2016, 92–93, 11–22. [Google Scholar] [CrossRef]
  17. State Environmental Protection Administration of the People’s Republic of China. Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant; State Environmental Protection Administration of the People’s Republic of China: Beijing, China, 2002. Available online: https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/shjbh/swrwpfbz/200307/t20030701_66529.shtml (accessed on 25 April 2023).
  18. Liu, G.; Wang, J. Long-term low DO enriches and shifts nitrifier community in activated sludge. Environ. Sci. Technol. 2013, 47, 5109–5117. [Google Scholar] [CrossRef]
  19. Li, B.; Cao, T.; Wang, L.; Li, Y. A pilot-scale study on nitrogen removal of municipal wastewater by A2/O process under low dissolved oxygen condition. China Environ. Sci. 2019, 39, 134–140. [Google Scholar] [CrossRef]
  20. Bian, W.; Li, J.; Wang, M.; Hou, A.; Yue, Y. Effects of Dissolved Oxygen on Partial Nitrification under Different Temperatures and Related Research. China Water Wastewater 2017, 33, 84–88. [Google Scholar] [CrossRef]
  21. Chi, Y.; Shi, X.; Jin, P.; Wang, X.C.; Ren, T.; Ren, B.; Jin, X. Enhanced nitrogen removal by partial nitrification-anammox process with a novel high-frequency micro-aeration (HFMA) mode: Metabolic interactions among functional bacteria. Bioresour. Technol. 2021, 342, 125917. [Google Scholar] [CrossRef]
  22. Wang, Z.; Zheng, M.; Meng, J.; Hu, Z.; Ni, G.; Guerrero Calderon, A.; Li, H.; De Clippeleir, H.; Al-Omari, A.; Hu, S.; et al. Robust Nitritation Sustained by Acid-Tolerant Ammonia-Oxidizing Bacteria. Environ. Sci. Technol. 2021, 55, 2048–2056. [Google Scholar] [CrossRef] [PubMed]
  23. Chen, Y.Z.; Peng, Y.Z.; Wang, J.H.; Zhang, L.C. Effect of Internal Recycle Ratio on Nitrogen and Phosphorus Removal Characteristics in A2/O-BAF Process. Environ. Sci. 2011, 32, 193–198. [Google Scholar] [CrossRef]
  24. Renou, S.; Givaudan, J.G.; Poulain, S.; Dirassouyan, F.; Moulin, P. Landfill leachate treatment: Review and opportunity. J. Hazard. Mater. 2007, 150, 468–493. [Google Scholar] [CrossRef] [PubMed]
  25. Kai, W.; Shuying, W.; Rulong, Z.; Lei, M.; Yongzhen, P. Advanced nitrogen removal from landfill leachate without addition of external carbon using a novel system coupling ASBR and modified SBR. Bioresour. Technol. 2013, 134, 212–218. [Google Scholar] [CrossRef]
  26. Hongyu, M.; Li, X.; Xi, L.; Zi, Y. Characteristics of anaerobic ammonium oxidation initiated by anaerobic granular sludge. EnEng 2020, 38, 93–98. [Google Scholar] [CrossRef]
  27. Bae, H.; Chung, Y.C.; Jung, J.Y. Microbial community structure and occurrence of diverse autotrophic ammonium oxidizing microorganisms in the anammox process. Water Sci. Technol. 2010, 61, 2723–2732. [Google Scholar] [CrossRef]
  28. Ya, T.; Huang, Y.; Wang, K.; Wang, J.; Liu, J.; Hai, R.; Zhang, T.; Wang, X. Functional stability correlates with dynamic microbial networks in anammox process. Bioresour. Technol. 2022, 370, 128557. [Google Scholar] [CrossRef]
  29. Tomonori, K.; Shota, Y.; Noriatsu, O.; Akiyoshi, O. Ecophysiological role and function of uncultured Chloroflexi in an anammox reactor. Water Sci. Technol. 2012, 66, 2556–2561. [Google Scholar] [CrossRef] [Green Version]
  30. Zhao, Y.; Liu, S.; Jiang, B.; Feng, Y.; Zhu, T.; Tao, H.; Tang, X.; Liu, S. Genome-Centered Metagenomics Analysis Reveals the Symbiotic Organisms Possessing Ability to Cross-Feed with Anammox Bacteria in Anammox Consortia. Environ. Sci. Technol. 2018, 52, 11285–11296. [Google Scholar] [CrossRef]
  31. Song, Y.P.; Gong, H.; Yuan, Q.; Chang, F. Nitrogen removal performance through different AnAOB processes treating wastewater pretreated by magnetic separation and microbial community structure shifting analysis. Acta Sci. Circumstantiae 2021, 41, 70–82. [Google Scholar] [CrossRef]
  32. Li, X.R.; Du, B.; Fu, H.X.; Wang, R.F.; Shi, J.H.; Wang, Y.; Jetten, M.S.; Quan, Z.X. The bacterial diversity in an anaerobic ammonium-oxidizing (anammox) reactor community. Syst. Appl. Microbiol. 2009, 32, 278–289. [Google Scholar] [CrossRef] [PubMed]
  33. Kuypers, M.M.; Sliekers, A.O.; Lavik, G.; Schmid, M.; Jørgensen, B.B.; Kuenen, J.G.; Sinninghe Damsté, J.S.; Strous, M.; Jetten, M.S. Anaerobic ammonium oxidation by anammox bacteria in the Black Sea. Nature 2003, 422, 608–611. [Google Scholar] [CrossRef] [PubMed]
  34. Lu, H.; Chandran, K.; Stensel, D. Microbial ecology of denitrification in biological wastewater treatment. Water Res. 2014, 64, 237–254. [Google Scholar] [CrossRef] [PubMed]
  35. Xu, X.; Liu, G.; Wang, Y.; Zhang, Y.; Wang, H.; Qi, L.; Wang, H. Analysis of key microbial community during the start-up of anaerobic ammonium oxidation process with paddy soil as inoculated sludge. J. Environ. Sci. 2018, 64, 317–327. [Google Scholar] [CrossRef] [PubMed]
  36. Jin, P.; Li, B.; Mu, D.; Li, X.; Peng, Y. High-efficient nitrogen removal from municipal wastewater via two-stage nitritation/anammox process: Long-term stability assessment and mechanism analysis. Bioresour. Technol. 2018, 271, 150–158. [Google Scholar] [CrossRef]
  37. Molinuevo, B.; García, M.C.; Karakashev, D.; Angelidaki, I. Anammox for ammonia removal from pig manure effluents: Effect of organic matter content on process performance. Bioresour. Technol. 2008, 100, 2171–2175. [Google Scholar] [CrossRef]
  38. Chen, Y.; Zheng, R.; Sui, Q.; Yu, D.; Ren, J. Engineering Application of Anammox in Treatment of Anaerobic Digestion Liquor in Swine Farm. China Water Wastewater 2022, 38, 3. [Google Scholar] [CrossRef]
  39. Bartosch, S.; Wolgast, I.; Spieck, E.; Bock, E. Identification of nitrite-oxidizing bacteria with monoclonal antibodies recognizing the nitrite oxidoreductase. Appl. Environ. Microbiol. 1999, 65, 4126–4133. [Google Scholar] [CrossRef] [Green Version]
  40. Feng, J.; Zhang, Q.; Tan, B.; Li, M.; Peng, H.; He, J.; Zhang, Y.; Su, J. Microbial community and metabolic characteristics evaluation in start-up stage of electro-enhanced SBR for aniline wastewater treatment. J. Water Process Eng. 2022, 45, 102489. [Google Scholar] [CrossRef]
  41. Roy, D.; Lemay, J.F.; Drogui, P.; Tyagi, R.; Landry, D.; Rahni, M. Identifying the link between MBRs’ key operating parameters and bacterial community: A step towards optimized leachate treatment. Water Res. 2020, 172, 115509. [Google Scholar] [CrossRef]
  42. Gong, Q.; Wang, B.; Gong, X.; Liu, X.; Peng, Y. Anammox bacteria enrich naturally in suspended sludge system during partial nitrification of domestic sewage and contribute to nitrogen removal. Sci. Total Environ. 2021, 787, 147658. [Google Scholar] [CrossRef]
  43. Song, Z.Z.; Lü, S.; Liu, Z.; Shi, X.D.; Pan, A.; Zhang, Z. Start-up of Simultaneous ANAMMOX and Denitrification Process and Changes in Microbial Community Characteristics. Environ. Sci. 2019, 40, 5057–5065. [Google Scholar] [CrossRef]
  44. Xin, X.I.N.; Guan, L.; Yao, Y.D.; Yang, Y.J.; Guo, J.Y.; Cheng, Q.F. Long-term Performance and Bacterial Community Composition Analysis of AGS-SBR Treating the Low COD/N Sewage at Low DO Concentration Condition. Environ. Sci. 2016, 37, 2259–2265. [Google Scholar] [CrossRef]
  45. Lin, J.; Meng, Y.; Shi, Y.; Lin, X. Complete Genome Sequences of Colwellia sp. Arc7-635, a Denitrifying Bacterium Isolated from Arctic Seawater. Curr. Microbiol. 2019, 76, 1061–1065. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic diagram of the experimental set-up.
Figure 1. Schematic diagram of the experimental set-up.
Water 15 02300 g001
Figure 2. Material balance of pollutants.
Figure 2. Material balance of pollutants.
Water 15 02300 g002
Figure 3. Impact of the DO concentration on (a) NH4+-N and (b) TN removal efficiencies.
Figure 3. Impact of the DO concentration on (a) NH4+-N and (b) TN removal efficiencies.
Water 15 02300 g003
Figure 4. (a) NH4+-N, (b) NO3-N, and (c) NO2-N concentrations in the different sections of the reactor.
Figure 4. (a) NH4+-N, (b) NO3-N, and (c) NO2-N concentrations in the different sections of the reactor.
Water 15 02300 g004
Figure 5. Impact of reflux ratio on (a) NH4+-N and (b) TN removal efficiencies.
Figure 5. Impact of reflux ratio on (a) NH4+-N and (b) TN removal efficiencies.
Water 15 02300 g005
Figure 6. Circos diagram representing phylum distribution in the microbial community.
Figure 6. Circos diagram representing phylum distribution in the microbial community.
Water 15 02300 g006
Figure 7. Thermal map of microbial community structure at the genus level.
Figure 7. Thermal map of microbial community structure at the genus level.
Water 15 02300 g007
Figure 8. Schematic diagram of the mechanism of effective denitrification in the system.
Figure 8. Schematic diagram of the mechanism of effective denitrification in the system.
Water 15 02300 g008
Table 1. Operating parameters and influent characteristics during different periods.
Table 1. Operating parameters and influent characteristics during different periods.
ItemsPhase IPhase IIPhase IIIPhase IVPhase V
Days/d1–3031–6061–9091–111112–132
DO/mg·L−12.0–3.01.0–1.50.5–0.80.5–0.80.5–0.8
Nitrification reflux ratio (R1)/%200200200250300
Sludge reflux Ratio (R2)/%100100100100100
Inf.COD/mg·L−1 231.36   ±   0.78 229.35   ±   4.51 230.36   ±   3.02 229.84   ±   1.52 228.54   ±   2.11
Inf.NH4+-N/mg·L−1 77.01   ±   1.95 77.16   ±   1.53 77.62   ±   4.68 77.17   ±   2.14 76.57   ±   0.88
Inf.NO2-N/mg·L−1 0.65   ±   0.08 0.71   ±   0.05 0.72   ±   0.13 0.84   ±   0.07 0.73   ±   0.11
Inf.NO3-N/mg·L−1 0.83   ±   0.04 0.82   ±   0.14 0.91   ±   0.06 0.83   ±   0.15 0.82   ±   0.07
Inf.pH 8.19   ±   0.15 7.96   ±   0.14 8.07   ±   0.68 7.87   ±   0.23 7.96   ±   0.08
Table 2. Alpha diversity index of sludge samples.
Table 2. Alpha diversity index of sludge samples.
SampleDiversity IndexRichness IndexCoverage Index/%
ShannonSimpsonAceChao
An5.680.0101742.131733.2899.93
A5.550.0111573.911622.8298.83
O5.480.0141523.881581.0499.41
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ye, L.; Zhou, Y.; Tang, L.; Chen, S.; Zhao, X. Analysis of the Partial Nitrification/Anammox Performance and Microbial Structure of Low C/N Wastewater by A2/O Process. Water 2023, 15, 2300. https://doi.org/10.3390/w15122300

AMA Style

Ye L, Zhou Y, Tang L, Chen S, Zhao X. Analysis of the Partial Nitrification/Anammox Performance and Microbial Structure of Low C/N Wastewater by A2/O Process. Water. 2023; 15(12):2300. https://doi.org/10.3390/w15122300

Chicago/Turabian Style

Ye, Lei, Yanhao Zhou, Liangdong Tang, Sixing Chen, and Xianguang Zhao. 2023. "Analysis of the Partial Nitrification/Anammox Performance and Microbial Structure of Low C/N Wastewater by A2/O Process" Water 15, no. 12: 2300. https://doi.org/10.3390/w15122300

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop