Technical Papers
Oct 31, 2020

Cellular Automata-Based Mechanistic Model for Analyzing Microbial Regrowth and Trihalomethanes Formation in Water Distribution Systems

Publication: Journal of Environmental Engineering
Volume 147, Issue 1

Abstract

This paper describes a novel cellular automata-based mesoscale multispecies reactive-transport (CA-MSRT) model for predicting microbial regrowth and trihalomethanes (THMs) formation in water distribution systems (WDSs) under different loading and temperature conditions. The kinetic models to analyze the degradation of chlorine, natural organic matter (NOM), and microbial biomass and formation of THMs during secondary chlorination applications are also proposed. The CA-MSRT model was applied to a benchmark WDS with two water sources (river and lake), a problem well tested by many researchers. A 60% reduction in total organic carbon (TOC) combined with chlorine application of 1  mg/L at the lake water source has resulted in regulating the microbiological and chemical quality of the delivered water at the outlet points. Results indicate that supplementing the chlorine levels through secondary disinfection stimulates formation of THMs and thereby compromises the chemical quality of the delivered water. It was found that the fractions of THMs formed from the carbon content associated with attached and suspended microbial biomass were only <2%, and the remaining fractions were derived from NOM. Overall, the study confirmed the benefits of reducing the organic matter content and optimal selection of the chlorine dose at the source point in contriving the water quality at the outlet points of WDSs.

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Data Availability Statement

Some or all data, models, or code generated and used during the study are available from the corresponding author by request.

References

Abhijith, G. R., and S. Mohan. 2020. “Random walk particle tracking embedded cellular automata model for predicting temporospatial variations of chlorine in water distribution systems.” Environ. Process. 7 (1): 271–296. https://doi.org/10.1007/s40710-019-00406-6.
Abokifa, A. A., Y. J. Yang, C. S. Lo, and P. Biswas. 2016. “Investigating the role of biofilms in trihalomethane formation in water distribution systems with a multicomponent model.” Water Res. 104 (Nov): 208–219. https://doi.org/10.1016/j.watres.2016.08.006.
Baribeau, H., M. Prevost, R. Desjardins, and P. Lafrance. 2001. “Changes in chlorine and DOX concentrations in distribution systems.” J. Am. Water Works Assoc. 93 (12): 102–114. https://doi.org/10.1002/j.1551-8833.2001.tb09359.x.
Boccelli, D. L., M. E. Tryby, J. G. Uber, and R. S. Summers. 2003. “A reactive species model for chlorine decay and THM formation under rechlorination conditions.” Water Res. 37 (11): 2654–2666. https://doi.org/10.1016/S0043-1354(03)00067-8.
Bond, T., E. H. Goslan, S. A. Parsons, and B. Jefferson. 2012. “A critical review of trihalomethane and haloacetic acid formation from natural organic matter surrogates.” Environ. Technol. Rev. 1 (1): 93–113. https://doi.org/10.1080/09593330.2012.705895.
Brown, D., J. Bridgeman, and J. R. West. 2011. “Predicting chlorine decay and THM formation in water supply systems.” Rev. Environ. Sci. Biotechnol. 10 (1): 79–99. https://doi.org/10.1007/s11157-011-9229-8.
Carrico, B., and P. C. Singer. 2010. “Impact of booster chlorination on chlorine decay and THM production: Simulated analysis.” J. Environ. Eng. 135 (10): 928–935. https://doi.org/10.1061/(ASCE)0733-9372(2009)135:10(928).
Chen, G., T. Long, and Y. Bai. 2017. “Water quality model with axial dispersion solved by Eulerian-Lagrangian operator-splitting method in water distribution system.” Water Sci. Technol. Water Supply 18 (3): 831–842. https://doi.org/10.2166/ws.2017.143.
Clark, R. M. 2015. “The USEPA’s distribution system water quality modelling program: A historical perspective.” Water Environ. J. 29 (3): 320–330. https://doi.org/10.1111/wej.12132.
Clark, R. M., L. A. Rossman, and L. J. Wymer. 1995. “Modeling distribution system water quality: Regulatory implications.” J. Water Resour. Plann. Manage. 121 (6): 423–428. https://doi.org/10.1061/(ASCE)0733-9496(1995)121:6(423).
Clark, R. M., and M. Sivaganesan. 2002a. “Predicting chlorine residuals and formation of TTHMs in drinking water.” J. Environ. Eng. 124 (12): 1203–1210. https://doi.org/10.1061/(ASCE)0733-9372(1998)124:12(1203).
Clark, R. M., and M. Sivaganesan. 2002b. “Predicting chlorine residuals in drinking water: Second order model.” J. Water Resour. Plann. Manage. 128 (2): 152–161. https://doi.org/10.1061/(ASCE)0733-9496(2002)128:2(152).
D’Souza, C. D., and M. S. M. Kumar. 2010. “Comparison of ANN models for predicting water quality in distribution systems.” J. Am. Water Works Assoc. 102 (7): 92–106. https://doi.org/10.1002/j.1551-8833.2010.tb10152.x.
Dukan, S., Y. Levi, P. Piriou, F. Guyon, and P. Villon. 1996. “Dynamic modelling of bacterial growth in drinking water networks.” Water Res. 30 (9): 1991–2002. https://doi.org/10.1016/0043-1354(96)00021-8.
Gang, D. C., T. E. Clevenger, and S. K. Banerji. 2003. “Modeling chlorine decay in surface water.” J. Environ. Inf. 1 (1): 21–27. https://doi.org/10.3808/jei.200300003.
Haas, C. N., and S. B. Karra. 1984. “Kinetics of wastewater chlorine demand exertion.” J. Water Pollut. Control Fed. 56 (2): 170–173.
Helbling, D. E., and J. M. VanBriesen. 2009. “Modeling residual chlorine response to a microbial contamination event in drinking water distribution systems.” J. Environ. Eng. 135 (10): 918–927. https://doi.org/10.1061/(ASCE)EE.1943-7870.0000080.
Horn, H., H. Reiff, and E. Morgenroth. 2003. “Simulation of growth and detachment in biofilm systems under defined hydrodynamic conditions.” Biotechnol. Bioeng. 81 (5): 607–617. https://doi.org/10.1002/bit.10503.
Islam, N., R. Sadiq, and M. J. Rodriguez. 2017. “Optimizing locations for chlorine booster stations in small water distribution networks.” J. Water Resour. Plann. Manage. 143 (7): 04017021. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000759.
Joannis, C., M. L. Delia, and J. P. Riba. 1998. “Comparison of four methods for quantification of biofilms in biphasic cultures.” Biotechnol. Tech. 12 (10): 777–782. https://doi.org/10.1023/A:1008835811731.
Karapiperis, T. 1997. “Cellular automaton models of reaction-transport processes.” In Modelling in aquatic chemistry, 495–524. Paris: Organisation for Economic Co-operation and Development National Energy Agency.
Karapiperis, T., B. Blankleider, and K. Kaneko. 1994. “Cellular automaton model of reaction-transport processes.” Physica D 78 (1–2): 30–64. https://doi.org/10.1016/0167-2789(94)00093-X.
Kim, D., S. Chung, S. Lee, and J. Choi. 2012. “Relation of microbial biomass to counting units for Pseudomonas aeruginosa.” Afr. J. Microbiol. Res. 6 (21): 4620–4622. https://doi.org/10.5897/ajmr10.902.
Kohpaei, A. J., and A. Sathasivan. 2011. “Chlorine decay prediction in bulk water using the parallel second order model: An analytical solution development.” Chem. Eng. J. 171 (1): 232–241. https://doi.org/10.1016/j.cej.2011.03.034.
Lachowicz, M. 2011. “Microscopic, mesoscopic and macroscopic descriptions of complex systems.” Probab. Eng. Mech. 26 (1): 54–60. https://doi.org/10.1016/j.probengmech.2010.06.007.
Liu, L., X. Xing, C. Hu, and H. Wang. 2019. “One-year survey of opportunistic premise plumbing pathogens and free-living amoebae in the tap-water of one northern city of China.” J. Environ. Sci. 77 (Mar): 20–31. https://doi.org/10.1016/j.jes.2018.04.020.
Morale, D., V. Capasso, and K. Oelschläger. 2005. “An interacting particle system modelling aggregation behavior: From individuals to populations.” J. Math. Biol. 50 (1): 49–66. https://doi.org/10.1007/s00285-004-0279-1.
Munavalli, G. R., and M. M. Kumar. 2004. “Dynamic simulation of multicomponent reaction transport in water distribution systems.” Water Res. 38 (8): 1971–1988. https://doi.org/10.1016/j.watres.2004.01.025.
Naser, G., and B. W. Karney. 2007. “A 2-D transient multicomponent simulation model: Application to pipe wall corrosion.” J. Hydro-Environ. Res. 1 (1): 56–69. https://doi.org/10.1016/j.jher.2007.04.004.
Nikolopoulos, D., K. Risva, and C. Makropoulos. 2018. “A cellular automata urban growth model for water resources strategic planning.” In Proc., 13th Int. Conf. on Hydroinformatics Engineering HIC 2018, edited by G. La Loggia, G. Freni, V. Puleo, and M. De Marchis, 1557–1567. London: International Water Association. https://doi.org/10.29007/w43g.
Owoseni, M. C., A. O. Olaniran, and A. I. Okoh. 2017. “Chlorine tolerance and inactivation of escherichia coli recovered from wastewater treatment plants in the Eastern Cape, South Africa.” Appl. Sci. 7 (8): 1–15. https://doi.org/10.3390/app7080810.
Palanichamy, J., H. Schüttrumpf, and S. Palani. 2008. “A probabilistic cellular automaton for two dimensional contaminant transport simulation in ground water.” Water Sci. Technol. 58 (11): 2083–2092. https://doi.org/10.2166/wst.2008.824.
Péquignot, C., C. Larroche, and J. B. Gros. 1998. “A spectrophotometric method for determination of bacterial biomass in the presence of a polymer.” Biotechnol. Tech. 12 (12): 899–903. https://doi.org/10.1023/A:1008865512272.
Picioreanu, C., M. C. Van Loosdrecht, and J. J. Heijnen. 2001. “Two-dimensional model of biofilm detachment caused by internal stress from liquid flow.” Biotechnol. Bioeng. 72 (2): 205–218. https://doi.org/10.1002/1097-0290(20000120)72:2%3C205::AID-BIT9%3E3.0.CO;2-L.
Prévost, M., A. Rompré, J. Coallier, P. Servais, P. Laurent, B. Clément, and P. Lafrance. 1998. “Suspended bacterial biomass and activity in full-scale drinking water distribution systems: Impact of water treatment.” Water Res. 32 (5): 1393–1406. https://doi.org/10.1016/S0043-1354(97)00388-6.
Rossman, L. A. 1994. EPANET: Users manual. Washington, DC: USEPA.
Rossman, L. A. 2000. EPANET 2: Users manual. Washington, DC: USEPA.
Schrottenbaum, I., J. Uber, N. Ashbolt, R. Murray, R. Janke, J. Szabo, and D. Boccelli. 2009. “Simple model of attachment and detachment of pathogens in water distribution system biofilms.” In Proc., World Environmental and Water Resources Congress 2009, 145–157. Reston, VA: ASCE. https://doi.org/10.1061/41036(342)15.
Seyoum, A. G., and T. T. Tanyimboh. 2017. “Integration of hydraulic and water quality modelling in distribution networks: EPANET-PMX.” Water Resour. Manage. 31 (14): 4485–4503. https://doi.org/10.1007/s11269-017-1760-0.
Simpson, M. J., and K. A. Landman. 2007. “Analysis of split operator methods applied to reactive transport with Monod kinetics.” Adv. Water Resour. 30 (9): 2026–2033. https://doi.org/10.1016/j.advwatres.2007.04.005.
Tian, Y., H. Guo, Y. Wang, Y. Liu, and J. Shan. 2017. “Behaviour of haloacetic acids in drinking water distribution systems.” Trans. Tianjin Univ. 23 (1): 93–99. https://doi.org/10.1007/s12209-016-0026-x.
Toffoli, T. 1984. “Cellular automata as an alternative to (rather than an approximation of) differential equations in modeling physics.” Physica D 10 (1–2): 117–127. https://doi.org/10.1016/0167-2789(84)90254-9.
Tsitsifli, S., and V. Kanakoudis. 2018. “Disinfection impacts to drinking water safety—A review.” Proceedings 2 (11): 603. https://doi.org/10.3390/proceedings2110603.
Tsitsifli, S., and V. Kanakoudis. 2020a. “Determining hazards’ prevention critical control points in water supply systems.” Environ. Sci. Proc. 2 (1): 53. https://doi.org/10.3390/environsciproc2020002053.
Tsitsifli, S., and V. Kanakoudis. 2020b. “Total and specific THMs’ prediction models in drinking water pipe networks.” Environ. Sci. Proc. 2 (1): 55. https://doi.org/10.3390/environsciproc2020002055.
USEPA. 2006. National primary drinking water regulations: Stage 2 disinfectants and disinfection byproducts rule. Washington, DC: USEPA.
Vasconcelos, J. J., L. A. Rossman, W. M. Grayman, P. F. Boulos, and R. M. Clark. 1997. “Kinetics of chlorine decay.” J. Am. Water Works Assoc. 89 (7): 54–65. https://doi.org/10.1002/j.1551-8833.1997.tb08259.x.
Vieira, P., S. T. Coelho, and D. Loureiro. 2004. “Accounting for the influence of initial chlorine concentration, TOC, iron and temperature when modelling chlorine decay in water supply.” J. Water Supply Res. Technol. AQUA 53 (7): 453–467. https://doi.org/10.2166/aqua.2004.0036.
Wang, J., X. Liu, T. Wai, J. Xiao, A. T. Chow, and P. Keung. 2013a. “Disinfection byproduct formation from chlorination of pure bacterial cells and pipeline biofilms.” Water Res. 47 (8): 2701–2709. https://doi.org/10.1016/j.watres.2013.02.038.
Wang, Z., O. Choi, and Y. Seo. 2013b. “Relative contribution of biomolecules in bacterial extracellular polymeric substances to disinfection byproduct formation.” Environ. Sci. Technol. 47 (17): 9764–9773. https://doi.org/10.1021/es402067g.
Zhang, W., C. T. Miller, and F. A. DiGiano. 2004. “Bacterial regrowth model for water distribution systems incorporating alternating split-operator solution technique.” J. Environ. Eng. 130 (9): 932–941. https://doi.org/10.1061/(ASCE)0733-9372(2004)130:9(932).

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 147Issue 1January 2021

History

Received: Jun 10, 2020
Accepted: Aug 25, 2020
Published online: Oct 31, 2020
Published in print: Jan 1, 2021
Discussion open until: Mar 31, 2021

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Research Scholar, Environmental and Water Resources Engineering Div., Dept. of Civil Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu 600 036, India (corresponding author). ORCID: https://orcid.org/0000-0002-7390-7848. Email: [email protected]
Professor, Environmental and Water Resources Engineering Div., Dept. of Civil Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu 600 036, India. Email: [email protected]

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