A comprehensive simulation approach for pollutant bio-transformation in the gravity sewer

Abstract

A comprehensive pollutant transformation model for sewer systems is established.

The model comprises fermentation, sulfate reduction and ammonification processes.

Biochemical reactions related to distinct carbon sources are depicted in the model.

Pollutant transformation is attributed to different biochemical reaction processes.

Presently, several activated sludge models (ASMs) have been developed to describe a few biochemical processes. However, the commonly used ASM neither clearly describe the migratory transformation characteristics of fermentation nor depict the relationship between the carbon source and biochemical reactions. In addition, these models also do not describe both ammonification and the integrated metabolic processes in sewage transportation. In view of these limitations, we developed a new and comprehensive model that introduces anaerobic fermentation into the ASM and simulates the process of sulfate reduction, ammonification, hydrolysis, acidogenesis and methanogenesis in a gravity sewer. The model correctly predicts the transformation of organics including proteins, lipids, polysaccharides, etc. The simulation results show that the degradation of organics easily generates acetic acid in the sewer system and the high yield of acetic acid is closely linked to methanogenic metabolism. Moreover, propionic acid is the crucial substrate for sulfate reduction and ammonification tends to be affected by the concentration of amino acids. Our model provides a promising tool for simulating and predicting outcomes in response to variations in wastewater quality in sewers.

Graphical abstract

Keywords

Gravity sewer / Modeling / Pollutant transformation / Biochemical reaction process

References

[1] Abdul-Talib S, Hvitved-Jacobsen T, Vollertsen J, Ujang Z (2002). Half saturation constants for nitrate and nitrite by in-sewer anoxic transformations of wastewater organic matter. Water Science and Technology, 46(9): 185–192

[2] Barrera E L, Spanjers H, Solon K, Amerlinck Y, Nopens I, Dewulf J (2015). Modeling the anaerobic digestion of cane-molasses vinasse: Extension of the Anaerobic Digestion Model No. 1 (ADM1) with sulfate reduction for a very high strength and sulfate rich wastewater. Water Research, 71: 42–54

[3] Bentler P M, Bonett D G (1980). Significance tests and goodness of fit in the analysis of covariance structure. Psychological Bulletin, 88(3): 588–606

[4] Cravo-Laureau C, Labat C, Joulian C, Matheron R, Hirschler-Réa A (2007). Desulfatiferula olefinivorans gen. nov., sp. nov., a long-chain n-alkene-degrading, sulfate-reducing bacterium. International Journal of Systematic and Evolutionary Microbiology, 57(11): 2699–2702

[5] Fedorovich V, Lens P, Kalyuzhnyi S (2003). Extension of Anaerobic Digestion Model No. 1 with processes of sulfate reduction. Applied Biochemistry and Biotechnology, 109(1-3): 33–46

[6] Fu G, Makropoulos C, Butler D (2010). Simulation of urban wastewater systems using artificial neural networks: Embedding urban areas in integrated catchment modelling. Journal of Hydroinformatics, 12(2): 140–149

[7] Garsdal H, Mark O, Dorge J, Jepsen S (1995). Mousetrap: Modelling of water quality processes and the interaction of sediments and pollutants in sewers. Water Science and Technology, 31(7): 33–41

[8] Guisasola A, Sharma K R, Keller J, Yuan Z (2009). Development of a model for assessing methane formation in rising main sewers. Water Research, 43(11): 2874–2884

[9] Higashioka Y, Kojima H, Nakagawa T, Sato S, Fukui M (2009). A novel n-alkane-degrading bacterium as a minor member of p-xylene-degrading sulfate-reducing consortium. Biodegradation, 20(3): 383–390

[10] Huisman J L, Gujer W (2002). Modelling wastewater transformation in sewers based on ASM3. Water Science and Technology, 45(6): 51–60

[11] Hvitved-Jacobsen T, Vollertsen J, Nielsen P H (1998). A process and model concept for microbial wastewater transformations in gravity sewers. Water Science and Technology, 37(1): 233–241

[12] Jiang F, Leung D H, Li S, Chen G H, Okabe S, van Loosdrecht M C (2009). A biofilm model for prediction of pollutant transformation in sewers. Water Research, 43(13): 3187–3198

[13] Jiang F, Leung H W, Li S Y, Lin G S, Chen G H (2007). A new method for determination of parameters in sewer pollutant transformation process model. Environmental Technology, 28(11): 1217–1225

[14] Jie W, Peng Y, Ren N, Li B (2014). Volatile fatty acids (VFAs) accumulation and microbial community structure of excess sludge (ES) at different pHs. Bioresource Technology, 152: 124–129

[15] Jin P, Shi X, Sun G, Yang L, Cai Y, Wang X C (2018). Co-variation between distribution of microbial communities and biological metabolization of organics in urban sewer systems. Environmental Science & Technology, 52(3): 1270–1279

[16] Jin P, Wang B, Jiao D, Sun G, Wang B, Wang X C (2015). Characterization of microflora and transformation of organic matters in urban sewer system. Water Research, 84: 112–119

[17] Jing Z, Hu Y, Niu Q, Liu Y, Li Y Y, Wang X C (2013). UASB performance and electron competition between methane-producing archaea and sulfate-reducing bacteria in treating sulfate-rich wastewater containing ethanol and acetate. Bioresource Technology, 137: 349–357

[18] Kreisberg R A, Siegal A M, Owen W C (1971). Glucose-lactate interrelationships: Effect of ethanol. Journal of clinical investigation, 50(1): 175–185

[19] Li H, Song Y, Li Q, He J, Song Y (2014). Effective microbial calcite precipitation by a new mutant and precipitating regulation of extracellular urease. Bioresource Technology, 167: 269–275

[20] Li Y F, Wei S, Yu Z (2013). Feedstocks affect the diversity and distribution of propionate CoA-transferase genes (pct) in anaerobic digesters. Microbial Ecology, 66(2): 351–362

[21] Liu H, Yu T, Liu Y (2015). Sulfate reducing bacteria and their activities in oil sands process-affected water biofilm. The Science of the total environment, 536: 116–122

[22] Liu Y, Boone D R (1991). Effects of salinity on methanogenic decomposition. Bioresource Technology, 35(3): 271–273

[23] Mackey H R, Rey Morito G, Hao T, Chen G H (2016). Pursuit of urine nitrifying granular sludge for decentralised nitrite production and sewer gas control. Chemical Engineering Journal, 289: 17–27

[24] Nie Y Q, Liu H, Du G C, Chen J (2007). Enhancement of acetate production by a novel coupled syntrophic acetogenesis with homoacetogenesis process. Process Biochemistry, 42(4): 599–605

[25] Onifade A A, Al-Sane N A, Al-Musallam A A, Al-Zarban S (1998). A review: Potentials for biotechnological applications of keratin-degrading microorganisms and their enzymes for nutritional improvement of feathers and other keratins as livestock feed resources. Bioresource Technology, 66(1): 1–11

[26] Pandey S K, Kim K H, Kwon E E, Kim Y H (2016). Hazardous and odorous pollutants released from sewer manholes and stormwater catch basins in urban areas. Environmental Research, 146: 235–244

[27] Pereyra L P, Hiibel S R, Prieto Riquelme M V, Reardon K F, Pruden A (2010). Detection and quantification of functional genes of cellulose- degrading, fermentative, and sulfate-reducing bacteria and methanogenic archaea. Applied and Environmental Microbiology, 76(7): 2192–2202

[28] Rahman A, Kumashiro M, Ishihara T (2011). Direct synthesis of formic acid by partial oxidation of methane on H-ZSM-5 solid acid catalyst. Catalysis Communications, 12(13): 1198–1200

[29] Rajagopal R, Massé D I, Singh G (2013). A critical review on inhibition of anaerobic digestion process by excess ammonia. Bioresource Technology, 143: 632–641

[30] Ramsing N B, Kühl M, Jørgensen B B (1993). Distribution of sulfate-reducing bacteria, O2, and H₂S in photosynthetic biofilms determined by oligonucleotide probes and microelectrodes. Applied and Environmental Microbiology, 59(11): 3840–3849

[31] Rawsthorne H, Dock C N, Jaykus L A (2009). PCR-based method using propidium monoazide to distinguish viable from nonviable Bacillus subtilis spores. Applied and Environmental Microbiology, 75(9): 2936–2939

[32] Ren N, Wang B, Huang J C (1997). Ethanol-type fermentation from carbohydrate in high rate acidogenic reactor. Biotechnology and Bioengineering, 54(5): 428–433

[33] Ren N, Wang Q, Wang Q, Huang H, Wang X (2017). Upgrading to urban water system 3.0 through sponge city construction. Frontiers of Environmental Science & Engineering, 11(4): 9

[34] Ross T (1996). Indices for performance evaluation of predictive models in food microbiology. The Journal of applied bacteriology, 81(5): 501–508

[35] Rudelle E, Vollertsen J, Hvitved-Jacobsen T, Nielsen A H (2011). Anaerobic transformations of organic matter in collection systems. Water Environment Research A: Research Publication of the Water Environment Federation, 83(6): 532–540

[36] Schmitt F, Seyfried C F (1992). Sulfate reduction in sewer sediments. Water Science and Technology, 25(8): 83–90

[37] Sepers A B J (1981). Diversity of ammonifying bacteria. Hydrobiologia, 83(2): 343–350

[38] Sharma K, Derlon N, Hu S, Yuan Z (2014). Modeling the pH effect on sulfidogenesis in anaerobic sewer biofilm. Water Research, 49: 175–185

[39] Sharma K, Ganigue R, Yuan Z (2013). pH dynamics in sewers and its modeling. Water Research, 47(16): 6086–6096

[40] Song X, Zhang Z (2011). Notice of Retraction Sulfate Reducing Rate of SRB with Acetic, Propionic, n-Butyric Acids as Carbon Sources. In: The 5th International Conference on Bioinformatics and Biomedical Engineering, Wuhan. New York: Curran Associates, 1–4

[41] Steinberg L M, Regan J M (2009). mcrA-targeted real-time quantitative PCR method to examine methanogen communities. Applied and Environmental Microbiology, 75(13): 4435–4442

[42] Sun Y, Zhao J, Chen L, Liu Y, Zuo J (2018). Methanogenic community structure in simultaneous methanogenesis and denitrification granular sludge. Frontiers of Environmental Science & Engineering, 12(4): 10

[43] Taconi K A, Zappi M E, Todd French W, Brown L R (2008). Methanogenesis under acidic pH conditions in a semi-continuous reactor system. Bioresource Technology, 99(17): 8075–8081

[44] Uggetti E, Sialve B, Latrille E, Steyer J P (2014). Anaerobic digestate as substrate for microalgae culture: the role of ammonium concentration on the microalgae productivity. Bioresource Technology, 152(152): 437–443

[45] Vavilin V A (2002).The IWA Anaerobic Digestion Model No. 1. London: IWA Publishing

[46] Widdel F, Pfennig N (1977). A new anaerobic, sporing, acetate-oxidizing, sulfate-reducing bacterium, Desulfotomaculum (emend.) acetoxidans. Archives of Microbiology, 112(1): 119–122

[47] Yuan D, Rao K, Relue P, Varanasi S (2011). Fermentation of biomass sugars to ethanol using native industrial yeast strains. Bioresource Technology, 102(3): 3246–3253

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