Abstract
In this study, simultaneous storage and growth mechanism, as well as the formation processes of organic nitrogen (ON), were both introduced into activated sludge model 3 (ASM3), and ASM3-ON was formed to predict the operation of biofilm treatment processes and the formation of dissolved organic nitrogen (DON). ASM3-ON was applied to a lab-scale biological aerated filter (BAF) for water supply. During the simulation, the sensitivities of chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), nitrate nitrogen (NOx--N), and DON to the stoichiometric and kinetic coefficients in the model were analyzed first by the Sobol method. Then, the model prediction results were compared with experimental values to calibrate ASM3-ON. In the validation process, ASM3-ON was applied to predict the variations of COD, NH4+-N, NO2--N, and NO3--N in BAF under different aeration ratios (0, 0.5:1, 2:1, and 10:1) and different filtration velocities (0.5, 2, and 4 m/h). The comparison with the experimental results showed that ASM3-ON could accurately predict the variation characteristics of COD, NH4+-N, NOx--N, and DON in BAF. This study provided a practical model approach to optimize the operating performance of BAF and reduce the formation of ON through nonexperimental methods.
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Data availability
The model files of this work can be obtained on the GitHub platform through the website https://github.com/kangjiahit/ASM3-ON.
References
Bareha Y, Girault R, Guezel S, Chaker I, Tremier A (2019) Modeling the fate of organic nitrogen during anaerobic digestion: development of a bioaccessibility based ADM1. Water Res 154:298-315. https://doi.org/10.1016/j.watres.2019.02.011
Biase AD, Kowalski MS, Devlin TR, Oleszkiewicz JA (2021) Modeling of the attached and suspended biomass fractions in a moving bed biofilm reactor. Chemosphere 275:129937. https://doi.org/10.1016/j.chemosphere.2021.129937
Chang H, Chen CY, Wang G (2013) Characteristics of C-, N-DBPs formation from nitrogen-enriched dissolved organic matter in raw water and treated wastewater effluent. Water Res 47:2729-2741. https://doi.org/10.1016/j.watres.2013.02.033
Demr S, Ati EB (2021) Sensitivity analysis and principal component analysis for the determination of the most influential kinetic parameters in activated sludge modeling. J Environ ChemEng 9(5):105872. https://doi.org/10.1016/j.jece.2021.105872
Dong JX, Wang YH, Wang LJ, Wang SJ, Li SJ, Ding Y (2020) The performance of porous ceramsites in a biological aerated filter for organic wastewater treatment and simulation analysis. J Water Process Eng 34:101134. https://doi.org/10.1016/j.jwpe.2020.101134
Gao F, Nan J, Li S, Wang Y (2018) Modeling and simulation of a biological process for treating different COD: N ratio wastewater using an extended ASM1 model. ChemEng J. https://doi.org/10.1016/j.cej.2017.09.137
Gu L, Liu B, Yu X (2010) Dissolved organic nitrogen (DON) in the processes of polluted source water treatment. Chinese Sci Bull 55:3098-3101. https://doi.org/10.1007/s11434-010-4099-y
Han M, Zhao ZW, Cui FY, Gao W, Liu J, Zeng ZQ (2012) Pretreatment of contaminated raw water by a novel double-layer biological aerated filter for drinking water treatment. Desalin Water Treat 37:308-314. https://doi.org/10.1080/19443994.2012.661287
Han M, Zhao ZW, Gao W, Cui FY (2013) Study on the factors affecting simultaneous removal of ammonia and manganese by pilot-scale biological aerated filter (BAF) for drinking water pre-treatment. BioresourceTechnol 145:17-24. https://doi.org/10.1016/j.biortech.2013.02.101
Hasan HA, Abdullah SRS, Kamarudin SK, Kofli NT (2011) Response surface methodology for optimization of simultaneous COD, NH4+-N and Mn2+ removal from drinking water by biological aerated filter. Desalination 275:50-61. https://doi.org/10.1016/j.desal.2011.02.028
Hasan HA, Abdullah SRS, Kamarudin SK, Kofli NT (2013) On-off control of aeration time in the simultaneous removal of ammonia and manganese using a biological aerated filter system. Process Saf Environ 91:415-422. https://doi.org/10.1016/j.psep.2012.10.001
Hu HD, Liao KW, **e WM, Wang JF, Wu B, Ren HQ (2020) Modeling the formation of microorganism-derived dissolved organic nitrogen (mDON) in the activated sludge system. Water Res 174:115604. https://doi.org/10.1016/j.watres.2020.115604
Janus T, Ulanicki B (2010) Modelling SMP and EPS formation and degradation kinetics with an extended ASM3 model. Desalination 261(1-2):117-125. https://doi.org/10.1016/j.desal.2010.05.021
Kang J, Ma T, Zhou Q, Gao X, Chen Y, Wu J, Chen J, **ang Y (2015) New insight into DOC and DON in a drinking water biological aerated filter (BAF) by multimethod and correlation analysis of 3D-EEM. Anal Methods-UK 7(23):9885-9893. https://doi.org/10.1039/C5AY02156A
Kang J, Liu S, Ma T, Gao X (2019) Production mechanism and characteristics of dissolved organic nitrogen derived from soluble microbial products (SMPs-DON) in a drinking water biological aerated filter. Water SciTechnol Water Supply. https://doi.org/10.2166/ws.2019.077
Kang J, Song G, Liu S, Song C, Gao X (2021) Spectral characterization of the effect of gas-water ratio on dissolved organic nitrogen variation along a drinking water biological aerated filter. Environ SciPollut R28:1-9. https://doi.org/10.1007/s11356-021-15528-4
Karunanidhi D, Aravinthasamy P, Subramani T, Kumar D, Setia R (2021) Investigation of health risks related with multipath entry of groundwater nitrate using Sobol sensitivity indicators in an urban-industrial sector of south India. Environ Res 200:111726. https://doi.org/10.1016/j.envres.2021.111726
Li Y, Xu H, He C, Shen Z, Chen W, Gao L, Lin CS, Lin T, Lu CH, Shi Q, Luo J, Wang W (2019) Transformation and fate of dissolved organic nitrogen in drinking water supply system: a full scale case study from Yixing, China. Sci Total Environ 673:435-444. https://doi.org/10.1016/j.scitotenv.2019.03.309
Li M, Sun J, Wang DD, Zhang R, Wang H, Wang N (2021) Using potassium ferrate control hazardous disinfection by-products during chlorination. Environ SciPollut R 28(38):54137-54146. https://doi.org/10.1007/s11356-021-14525-x
Lindow F, Muñoz C, Jaramillo F, Bishop RH, Proal-Nájera JB, Antileo C (2020) Active biomass estimation based on ASM1 and on-line OUR measurements for partial nitrification processes in sequencing batch reactors. J Environ Ma 273:111150. https://doi.org/10.1016/j.jenvman.2020.111150
Liu B, Gu L, Yu X, Yu GZ, Zhang HN, Xu JL (2012) Dissolved organic nitrogen (DON) profile during backwashing cycle of drinking water biofiltration. Sci Total Environ 414:508-514. https://doi.org/10.1016/j.scitotenv.2011.10.049
Liu HY, Zhu LY, Tian XH, Yin YS (2017) Seasonal variation of bacterial community in biological aerated filter for ammonia removal in drinking water treatment. Water Res 12:668-677. https://doi.org/10.1016/j.watres.2017.07.018
Ma T, Chen Y, Kang J, Gao X, Guo J, Fang F, Zhang X (2016) Influence of filtration velocity on DON variation in BAF for micropolluted surface water treatment. Environ SciPollut R23:23415-23421. https://doi.org/10.1007/s11356-016-7578-0
Mann AT, Stephenson T (1996) Modelling biological aerated filters for wastewater treatment. Water Res 31:2443-2448. https://doi.org/10.1016/S0043-1354(97)00095-X
Mosaferi M, Asadi M, Aslani H, Mohammadi A, Abedi S, Nemati MS, Maleki S (2020) Temporospatial variation and health risk assessment of trihalomethanes (THMs) in drinking water (northwest Iran). Environ SciPollut R28:8168-8180. https://doi.org/10.1007/s11356-020-11063-w
Rajamanickam R, Baskaran D, Kaliyamoorthi K, Baskaran V, Krishnan J (2020) Steady state, transient behavior and kinetic modeling of benzene removal in an aerobic biofilter. J EnvironChem Eng. https://doi.org/10.1016/j.jece.2020.103657
Shen H, Tang XC, Wu NX, Chen HB (2018) Leakage of soluble microbial products from biological activated carbon filtration in drinking water treatment plants and its influence on health risks. Chemosphere 202:626-636. https://doi.org/10.1016/j.chemosphere.2018.03.123
Shiek AG, Machavolu VSRK, Seepana MM, Ambati SR (2020) Design of control strategies for nutrient removal in a biological wastewater treatment process. Environ SciPollut R28:12092-12106. https://doi.org/10.1007/s11356-020-09347-2
Wang C, Li J, Wang BZ, Zhang GZ (2006) Development of an empirical model for domestic wastewater treatment by biological aerated filter. Process Biochem 41:778-782. https://doi.org/10.1016/j.procbio.2005.09.015
**ao R, Zhu WL, Xu SY, Chai WB, Tong Y, Zheng P, Lu HJ (2022) Low strength wastewater anammox start-up by stepwise decrement in influent nitrogen: bioflm formation mechanism and mathematical modeling. Environ Int 158:106929. https://doi.org/10.1016/j.envint.2021.106929
Xu YF, Peng L, Liu YW, **e GJ, Song SX, Ni BJ (2020) Modelling melamine biodegradation in a membrane aerated biofilm reactor. Water Process Eng 38:101626. https://doi.org/10.1016/j.jwpe.2020.101626
Yang G, Xu X, Yao LR, Lu LQ, Zhao TT, Zhang WY (2011) Process of inorganic nitrogen transformation and design of kinetics model in the biological aerated filter reactor. BioresourceTechnol 102:4628-4632. https://doi.org/10.1016/j.biortech.2011.01.009
Zhang H, Gu L, Liu B, GanH ZK, ** H, Yu X (2016) An improved biofilter to control the dissolved organic nitrogen concentration during drinking water treatment. Environ SciPollut R 23(18):18137-18144. https://doi.org/10.1007/s11356-016-6847-2
Zhou M, Gong J, Yang C, Pu W (2013) Simulation of the performance of aerobic granular sludge SBR using modified ASM3 model. BioresourceTechnol 127C:473-481. https://doi.org/10.1016/j.biortech.2012.09.076
Acknowledgements
We thank Zhong Zhou Water Holding Co., Ltd. for supporting this study.
Funding
This work was supported by the National Natural Science Foundation of China (No. 51708214), the High-Level Talent Introduction Program of North China University of Water Resources and Electric Power (40518), and the Key Promotion Project of Henan Province (212102310950, 222102320023).
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Jia Kang established the ASM3-ON and was a major contributor to the writing of the manuscript. Chu-qiong Song adjusted the operating parameters and was responsible for the routine operation of the BAF reactor and conducting experiments. Ning Zhou participated in the formulation of the experimental program and was a major contributor to the manuscript review. Yao-wen Zhang participated in the sensitivity analysis of the model and was a major contributor to manuscript revision. Shu-li Liu provided experimental venues and instruments, guided the experimental process, and analyzed the operating data of the BAF reactor. Gang-fu Song reviewed the manuscript. Wa-ni Zhou guided the model validation process.
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Kang, J., Song, Cq., Zhou, N. et al. Modeling the Operating Performance of a Drinking Water Biological Aerated Filter and the Formation of Organic Nitrogen. Environ Sci Pollut Res 30, 59579–59595 (2023). https://doi.org/10.1007/s11356-023-26116-z
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DOI: https://doi.org/10.1007/s11356-023-26116-z