The combined effects of biomass and temperature on maximum specific ammonia oxidation rate in domestic wastewater treatment

doi:10.1007/s11783-021-1411-9

Front. Environ. Sci. Eng.

2021, Vol. 15

Issue (6) : 123 https://doi.org/10.1007/s11783-021-1411-9

RESEARCH ARTICLE

The combined effects of biomass and temperature on maximum specific ammonia oxidation rate in domestic wastewater treatment

Yukun Zhang^1,², Shuying Wang¹, Shengbo Gu¹, Liang Zhang¹, Yijun Dong¹, Lei Jiang², Wei Fan², Yongzhen Peng¹(

)

¹. National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Beijing University of Technology, Beijing 100124, China
². School of Civil Engineering, Dalian Nationalities University, Dalian 116600, China

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Abstract

• Actual SAORs was determined using MLVSS and temperature.

• Measured SAOR decreased with increasing MLVSS 1.1‒8.7 g/L.

• Temperature coefficient (θ) decreased with increasing MLVSS.

• Nitrification process was dynamically simulated based on laboratory-scale SBR tests.

• A modified model was successfully validated in pilot-scale SBR systems.

Measurement and predicted variations of ammonia oxidation rate (AOR) are critical for the optimization of biological nitrogen removal, however, it is difficult to predict accurate AOR based on current models. In this study, a modified model was developed to predict AOR based on laboratory-scale tests and verified through pilot-scale tests. In biological nitrogen removal reactors, the specific ammonia oxidation rate (SAOR) was affected by both mixed liquor volatile suspended solids (MLVSS) concentration and temperature. When MLVSS increased 1.6, 4.2, and 7.1-fold (1.3‒8.9 g/L, at 20°C), the measured SAOR decreased by 21%, 49%, and 56%, respectively. Thereby, the estimated SAOR was suggested to modify when MLVSS changed through a power equation fitting. In addition, temperature coefficient (θ) was modified based on MLVSS concentration. These results suggested that the prediction of variations ammonia oxidation rate in real wastewater treatment system could be more accurate when considering the effect of MLVSS variations on SAOR.

Keywords Specific ammonia oxidation rate Sequencing batch reactor Biomass Temperature coefficient Model simulation

Corresponding Author(s): Yongzhen Peng

Issue Date: 17 March 2021

Cite this article:

Yukun Zhang,Shuying Wang,Shengbo Gu, et al. The combined effects of biomass and temperature on maximum specific ammonia oxidation rate in domestic wastewater treatment[J]. Front. Environ. Sci. Eng., 2021, 15(6): 123.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-021-1411-9
https://academic.hep.com.cn/fese/EN/Y2021/V15/I6/123

Fig.1 Schematic diagram of laboratory-scale SBR (a) process, pilot-scale SBR (b) process, and variations of nitrogen species, COD and nitrite accumulation ratio (NAR) in pilot-scale SBR typical cycle (c) NAR represent the percentage of the nitrite accumulation scale (NAR% = NO₂⁻–N/NO_x⁻–N × 100, NO_x⁻–N= NO₃⁻–N+ NO₂⁻–N).

Tab.1 Experimental conditions in batch laboratory-scale SBR tests

Fig.2 The aerobic metabolism of ammonia nitrogen oxidation organisms as a function of biomass concentration (MLVSS) at different temperatures. Ammonia concentrations (A, B, C, D, E), nitrite and nitrate concentrations (a, b, c, d, e) represents temperature at 10°C, 15°C, 20°C, 25°C, and 30°C, respectively. (Error bars indicate standard deviations of measurements).

Fig.3 Effects of MLVSS on maximum AOR at different temperatures. (a, b, c represent temperature at 10°C, 20°C, and 30°C, respectively).

Fig.4 Effects of MLVSS on maximum SAOR at different temperatures. (a, b, and c represent temperature at 10°C, 20°C, and 30°C, respectively; d represents mean SAOR of different temperature) (Error bars indicate standard deviations of measurements).

Tab.2 Fitting formulas for temperature and SAOR at different MLVSS

Fig.5 Relationship among biomass, A, and B.

Fig.6 Model development for laboratory-scale SBR system. (a) Comparison of simulation data and experimental data of SAOR; (b) Changes in SAOR at different MLVSS concentrations (1?10 g/L) and temperatures (10°C–30°C).

Fig.7 Simulated maximum SAOR profile in pilot-scale SBR tests.

1	APHA (1998). Standard Methods for the Examination of Water and Wastewater, 20th ed. Washington, DC: American Public Health Association
2	A Bailey, G Hansford, P Dold (1994). The use of cross-flow microfiltration to enhance the performance of an activated-sludge reactor. Water Research, 28(2): 297–301 https://doi.org/10.1016/0043-1354(94)90267-4
3	A Bartrolí, J Pérez, J Carrera (2010). Applying ratio control in a continuous granular reactor to achieve full nitritation under stable operating conditions. Environmental Science & Technology, 44(23): 8930–8935 https://doi.org/10.1021/es1019405
4	F Cui, M Kim (2013). Use of steady-state biofilm model to characterize aerobic granular sludge. Environmental Science & Technology, 47(21): 12291–12296 https://doi.org/10.1021/es4025639
5	E Gorgun, G Insel, N Artan, D Orhon (2007). Model evaluation of temperature dependency for carbon and nitrogen removal in a full-scale activated sludge plant treating leather-tanning wastewater. Journal of Environmental Science and Health Part A—Toxic/Hazardous Substances Environmental Engineering, 42: 747–756 https://doi.org/10.1080/10934520701304427
6	S Gu, S Wang, Q Yang, P Yang, Y Peng (2012). Start up partial nitrification at low temperature with a real-time control strategy based on blower frequency and pH. Bioresource Technology, 112: 34–41 https://doi.org/10.1016/j.biortech.2011.12.028
7	J Guo, Y Peng, H Huang, S Wang, S Ge, J Zhang, Z Wang (2010). Short- and long-term effects of temperature on partial nitrification in a sequencing batch reactor treating domestic wastewater. Journal of Hazardous Materials, 179(1–3): 471–479 https://doi.org/10.1016/j.jhazmat.2010.03.027
8	M Henze, W Gujer, T Mino, M van Loosdrecht (2000). Activated sludge models ASM1, ASM2, ASM2d and ASM3 scientific and technical report No.9. London: IWA Publishing
9	E Isanta, C Reino, J Carrera, J Perez (2015). Stable partial nitritation for low-strength wastewater at low temperature in an aerobic granular reactor. Water Research, 80: 149–158 https://doi.org/10.1016/j.watres.2015.04.028
10	J Kim, X Guo, H Park (2008). Comparison study of the effects of temperature and free ammonia concentration on nitrification and nitrite accumulation. Process Biochemistry, 43(2): 154–160 https://doi.org/10.1016/j.procbio.2007.11.005
11	M S Kowalski, T R Devlin, A di Biase, J A Oleszkiewicz (2019). Controlling cold temperature partial nitritation in moving bed biofilm reactor. Chemosphere, 227: 216–224 https://doi.org/10.1016/j.chemosphere.2019.04.025
12	O Krhutková, L Novak, L Pachmanova, A Benakova, J Wanner, M Kos (2006). In situ bioaugmentation of nitrification in the regeneration zone: practical application and experiences at full-scale plants. Water Science and Technology, 53(12): 39–46 https://doi.org/10.2166/wst.2006.404
13	H Li, Y Zhang, M Yang, Y Kamagata (2013). Effects of hydraulic retention time on nitrification activities and population dynamics of a conventional activated sludge system. Frontiers of Environmental Science & Engineering, 7(1): 43–48 https://doi.org/10.1007/s11783-012-0397-8
14	J Li, J Li, Y Peng, S Wang, L Zhang, S Yang, S Li (2020a). Insight into the impacts of organics on anammox and their potential linking to system performance of sewage partial nitrification-anammox (PN/A): A critical review. Bioresource Technology, 300: 122655 https://doi.org/10.1016/j.biortech.2019.122655
15	J Li, Y Peng, L Zhang, X Li, Q Zhang, S Yang, Y Gao, S Li (2020b). Improving efficiency and stability of anammox through sequentially coupling nitritation and denitritation in a single-stage bioreactor. Environmental Science & Technology, 54(17): 10859–10867 https://doi.org/10.1021/acs.est.0c01314
16	J Li, Y Peng, Q Zhang, X Li, S Yang, S Li, L Zhang (2021). Rapid enrichment of anammox bacteria linked to floc aggregates in a single-stage partial nitritation-anammox process: providing the initial carrier and anaerobic microenvironment. Water Research, 191: 116807 https://doi.org/10.1016/j.watres.2021.116807
17	X Li, S Sun, H Yuan, B Badgley, Z He (2017). Mainstream upflow nitritation-anammox system with hybrid anaerobic pretreatment: Long-term performance and microbial community dynamics. Water Research, 125: 298–308 https://doi.org/10.1016/j.watres.2017.08.048
18	W Liu, Y Peng, B Ma, L Ma, F Jia, X Li (2017). Dynamics of microbial activities and community structures in activated sludge under aerobic starvation. Bioresource Technology, 244: 588–596 https://doi.org/10.1016/j.biortech.2017.07.131
19	A Mannucci, G Munz, G Mori, C Lubello, J Oleszkiewicz (2015). Applicability of the Arrhenius model for ammonia oxidizing bacteria subjected to temperature time gradients. Frontiers of Environmental Science & Engineering, 9(6): 988–994 https://doi.org/10.1007/s11783-014-0751-0
20	E Muller, A Stouthamer, H Vanverseveld, D Eikelboom (1995). Aerobic domestic waste-water treatment in a pilot-plant with complete sludge retention by cross-flow filtration. Water Research, 29(4): 1179–1189 https://doi.org/10.1016/0043-1354(94)00267-B
21	M L Pellegrin, A Tazi-Pain, H Buisson, C Wisniewski, A Grasmick (2002). Sequenced aeration in a membrane bioreactor: specific nitrogen removal rates. Canadian Journal of Chemical Engineering, 80(3): 386–392 https://doi.org/10.1002/cjce.5450800307
22	Y Peng, L Zhang, S Zhang, Y Gan, C Wu (2012). Enhanced nitrogen removal from sludge dewatering liquor by simultaneous primary sludge fermentation and nitrate reduction in batch and continuous reactors. Bioresource Technology, 104: 144–149 https://doi.org/10.1016/j.biortech.2011.10.079
23	P Regmi, M W Miller, B Holgate, R Bunce, H Park, K Chandran, B Wett, S Murthy, C B Bott (2014). Control of aeration, aerobic SRT and COD input for mainstream nitritation/denitritation. Water Research, 57: 162–171 https://doi.org/10.1016/j.watres.2014.03.035
24	N Shammas (1986). Interactions of temperature, pH, and biomass on the nitrification process. Journal- Water Pollution Control Federation, 58: 52–59
25	Y Shi, G Wells, E Morgenroth (2016). Microbial activity balance in size fractionated suspended growth biomass from full-scale sidestream combined nitritation-anammox reactors. Bioresource Technology, 218: 38–45 https://doi.org/10.1016/j.biortech.2016.06.041
26	R Smith, D Oerther (2009). Respirometric evaluation of side-stream treatment of reject water as a source of nitrifying bacteria formain-stream activated sludge bioreactors. Water Science and Technology, 60(10): 2677–2684 https://doi.org/10.2166/wst.2009.621
27	S Sözen, D Orhon, H San (1996). A new approach for the evaluation of the maximum specific growth rate in nitrification. Water Research, 30(7): 1661–1669 https://doi.org/10.1016/0043-1354(96)00031-0
28	L Sun, W Zuo, Y Tian, J Zhang, J Liu, N Sun, J Li (2019). Performance and microbial community analysis of an algal-activated sludge symbiotic system: Effect of activated sludge concentration. Journal of Environmental Sciences-China, 76: 121–132 https://doi.org/10.1016/j.jes.2018.04.010
29	H Teck, K Loong, D Sun, J Leckie (2009). Influence of a prolonged solid retention time environment on nitrification/denitrification and sludge production in a submerged membrane bioreactor. Desalination, 245(1–3): 28–43 https://doi.org/10.1016/j.desal.2008.06.010
30	Y Yang, L Zhang, J Cheng, S Zhang, B Li, Y Peng (2017). Achieve efficient nitrogen removal from real sewage in a plug-flow integrated fixed-film activated sludge (IFAS) reactor via partial nitritation/anammox pathway. Bioresource Technology, 239: 294–301 https://doi.org/10.1016/j.biortech.2017.05.041
31	Y Yuan, Z Zhou, J Jiang, K Wang, S Yu, J Qiang, Q Ming, Y An, J Ye, D Wu (2021). Partial nitrification performance and microbial community evolution in the membrane bioreactor for saline stream treatment. Bioresource Technology, 320: 124419 https://doi.org/10.1016/j.biortech.2020.124419
32	G Zhang, L Zhang, X Han, S Zhang, Y Peng (2021). Start-up of PN-anammox system under low inoculation quantity and its restoration after low-loading rate shock. Frontiers of Environmental Science & Engineering, 15(2): 32 https://doi.org/10.1007/s11783-020-1324-z

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