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Water, Air, & Soil Pollution

, Volume 223, Issue 6, pp 3155–3171 | Cite as

Numerical Modelling of Waste Stabilization Ponds: Where Do We Stand?

  • Leena Sah
  • Diederik P. L. RousseauEmail author
  • Christine M. Hooijmans
Article

Abstract

Waste stabilization pond (WSP) technology has been an active area of research for the last three decades. In spite of its relative simplicity of design, operation and maintenance, the various processes taking place in WSP have not been entirely quantified. Lately, modelling has served as an important, low-cost tool for a better description and an improved understanding of the system. Although several papers on individual pond models have been published, there is no specific review on different models developed so far. This paper aims at filling this gap. Models are compared by focussing on their key features like the presence and comprehensiveness of a water quality sub-model in terms of aerobic/anoxic and anaerobic carbon removal and nutrient removal; the type of hydraulic sub-model used (0D, 1D, 2D or 3D); the software used for implementation and simulation; and whether or not sensitivity analysis, calibration and validation were done. This paper also recommends future directions of research in this area. In-depth study of the published models reveals a clear evolution over time in the concept of modelling, from just hydraulic empirical models to 3D ones and from simple first-order water quality models to complex ones which describe key biochemical processes as a set of mathematical equations. Due to the inherent complexity, models tend to focus only on specific aspects whilst ignoring or simplifying others. For instance, many models have been developed that either focus solely on hydrodynamics or solely on biochemical processes. Models which integrate both aspects in detail are still rare. Furthermore, it is evident from the review of the different models that calibration and validation with full-scale WSP data is also scarce. Hence, we believe that there is a need for the development of a comprehensive, calibrated model for waste stabilization ponds that can reliably serve as a support tool for the improvement and optimization of pond design and performance.

Keywords

Computational fluid dynamics (CFD) Hydrodynamics Modelling Waste stabilization pond (WSP) Water quality 

Abbreviations

COD

Chemical oxygen demand

MP

Maturation pond

DO

Dissolved oxygen

FP

Facultative pond

HRT

Hydraulic retention time

CFD

Computational fluid dynamics

SFP

Secondary facultative pond

CSTR

Continuous stirred tank reactor

References

  1. Abbas, H., Nasr, R., & Seif, H. (2006). Study of waste stabilization pond geometry for the wastewater treatment efficiency. Ecological Engineering, 28, 25–34.CrossRefGoogle Scholar
  2. Agunwamba, J. C., Egbuniwe, N., & Ademiluyi, J. O. (1992). Prediction of dispersion number in waste stabilization ponds. Water Research, 26, 85–89.CrossRefGoogle Scholar
  3. Aldana, G. J., Lloyd, B. J., Guganesharajah, K., & Bracho, N. (2005). The development and calibration of a physical model to assist in optimising the hydraulic performance and design of maturation ponds. Water Science and Technology, 51(12), 173–181.Google Scholar
  4. Banda, C. G., Sleigh, P. A. & Mara, D. D. (2006a) 3D-CFD modelling of E. coli removal in baffled primary facultative ponds: Classical design optimization. 7th IWA Specialist Conference on Waste Stabilization Ponds, Bangkok, Thailand.Google Scholar
  5. Banda, C. G., Sleigh, P. A., & Mara, D. D. (2006b) CFD-based design of waste stabilization ponds: Significance of wind velocity. 7th IWA Specialist Conference on Waste Stabilization Ponds, Bangkok, Thailand.Google Scholar
  6. Banks, C. J., Koloskov, G. B., Lock, A. C., & Heaven, S. (2003). A computer simulation of the oxygen balance in a cold climate winter storage WSP during the critical spring warm-up period. Water Science and Technology, 48(2), 189–196.Google Scholar
  7. Beran, B., & Kargi, F. (2005). A dynamic mathematical model for wastewater stabilization ponds. Ecological Modelling, 181, 39–57.CrossRefGoogle Scholar
  8. Buhr, H. O., & Miller, S. B. (1983). A dynamic model of the high-rate algal–bacterial wastewater treatment pond. Water Resources, 17, 29–37.Google Scholar
  9. Craggs, R. J., Zwart, A., Nagels, J. W., & Davies-Colley, R. J. (2004). Modelling sunlight disinfection in high rate pond. Ecological Engineering, 22, 113–122.CrossRefGoogle Scholar
  10. Dochain, D., Gregoire, S., Pauss, A., & Schaegger, M. (2003). Dynamic modelling of a waste stabilization pond. Bioprocess & Biosystems Engineering, 26, 19–26.CrossRefGoogle Scholar
  11. Ekama, G.A., Wentzel, M.C., Sötemann, S.W. (2006). Tracking the inorganic suspended solids through biological treatment units of wastewater treatment plants. Water Research, 40(19), 3587–3595.Google Scholar
  12. Escalas-Canellas, A., Abrego-Gongora, C. J., Barajas-Lopez, M. G., Houweling, D., & Comeau, Y. (2008). A time series model for influent temperature estimation: Application of dynamic temperature modelling of an aerated lagoon. Water Research, 42, 2551–2562.CrossRefGoogle Scholar
  13. Gehring, T., Silva, J. D., Kehl, O., Castilhos Jr, A.B., Costa, R.H.R., Uhlenhut, F., Alex, J., Horn, H., & Wichern, M. (2009). Modeling waste stabilization ponds with an extend version of ASM 3. 8 th IWA Specialist Group Conference on Waste Stabilization Ponds, Belo Horizonte, Brazil.Google Scholar
  14. Henze, M., Gujer, W., Mino, T., Matsuo, T., Wentzel, M. C., & Marais, G. R. (1995). Activated sludge model no. 2. Scientific and Technical Report No. 3. London, UK: IWA Publishing.Google Scholar
  15. Houweling, D., Kharoune, L., Escalas, A., & Comeau, Y. (2005). Modelling ammonia removal in aerated facultative lagoon. Water Science and Technology, 51(12), 139–142.Google Scholar
  16. Jupsin, H., & Vasel, J. L. (2007). Modelisation of the contribution of sediments in the treatment process case of aerated lagoons. Water Science and Technology, 51(11), 21–27.CrossRefGoogle Scholar
  17. Jupsin, H., Praet, E., & Vasel, J.-L. (2003). Dynamic mathematical model of high rate algal ponds (HRAP). Water Science and Technology, 48(2), 197–204.Google Scholar
  18. Kayombo, S., Mbwette, T. S. A., Mayo, A. W., Katima, J. H. Y., & Jorgensen, S. E. (2000). Modelling diurnal variation of dissolved oxygen in waste stabilization ponds. Ecological Modelling, 127, 21–31.Google Scholar
  19. Langergraber, G., Rousseau, D. P. L., Garcia, J., & Mena, J. (2009). CWM1: A general model to describe biokinetic processes in subsurface flow constructed wetlands. Water Science and Technology, 59(9), 1687–1697.CrossRefGoogle Scholar
  20. Leeds, U. O. (2011). Computational fluid dynamics. CFD Center, University of Leeds, Leeds, LS2 9JT, UK. Retrieved 1 September 2011 from http://www.engineering.leeds.ac.uk/cfd/pdf/CFD-LEEDS.pdf.
  21. Manga, J. G., Molinares, N. R., Orlando Soto, E., Arrieta, J., Escaf German, J., & Hernandez Gustavo, A. (2004). Influence of inlet–outlet structures on the flow pattern of a waste stabilization pond. 6th International Conference of Waste Stabilization Ponds, Avignon, France.Google Scholar
  22. Middlebrooks, J. E., & Pano, A. (1983). Nitrogen removal in aerated lagoons. Water Resources, 17(10), 1369–1378.Google Scholar
  23. Moreno, M. D. (1990). A tracer study of the hydraulics of facultative stabilization ponds. Water Resources, 24, 1025–1030.Google Scholar
  24. Moreno-Grau, S., Garcia-Sanchez, A., Moreno-Clavel, J., Serrano-Aniorte, J., & Moreno-Grau, M. D. (1996). A mathematical model for waste water stabilization ponds with macrophytes and microphytes. Ecological Modelling, 91, 77–103.CrossRefGoogle Scholar
  25. Nameche, T. H., & Vasel, J. L. (1998). Hydrodynamic studies and modelization for aerated lagoons and waste stabilization ponds. Water Research, 32(10), 3039–3045.CrossRefGoogle Scholar
  26. Nelson, K. L., Cisneros, B. J., Tchobanoglous, G., & Darby, J. L. (2004). Sludge accumulation, characteristics, and pathogen inactivation in four primary waste stabilization ponds in Central Mexico. Water Research, 38, 111–127.CrossRefGoogle Scholar
  27. Oliveira-Esquerre, K. P., Seborg, D. E., Bruns, R. E., & Mori, M. (2004). Application of steady state and dynamic modelling for the prediction of BOD of an aerated lagoon at a pulp and paper mill. Part 1. Linear approaches. Chemical Engineering Journal, 104, 73–81.CrossRefGoogle Scholar
  28. Oliveira-Esquerre, K. P., Seborg, D. E., Mori, M., & Bruns, R. E. (2004). Application of steady state and dynamic modelling for the prediction of BOD of an aerated lagoon at a pulp and paper mill. Part 2. Nonlinear approaches. Chemical Engineering Journal, 105, 61–69.CrossRefGoogle Scholar
  29. Oswald, W. J. (1988). Micro-algae and waste-water treatment. In M. A. Borowitzka & L. J. Borowitzka (Eds.), Micro-algal biotech (pp. 305–328). Cambridge: Cambridge University Press.Google Scholar
  30. Ouldali, S., Leduc, R., & Nguyen, V.-T.-V. (1989). Uncertainty modelling of facultative aerated lagoon system. Water Resource, 23(4), 451–459.Google Scholar
  31. Peng, J.-F., Wang, B.-Z., Song, Y.-H., & Yuan, P. (2007). Modelling N transformation and removal in a duckweed pond: Model development and calibration. Ecological Modelling, 206, 147–152.CrossRefGoogle Scholar
  32. Polprasert, C., & Agarwalla, B. K. (1994). A facultative pond model incorporating biofilm activity. Water Environment Research, 66, 725–732.CrossRefGoogle Scholar
  33. Pougatch, K., Salcedean, M., Gartshore, I., & Pagoria, A. (2007). Computational modelling of large aerated lagoon hydraulics. Water Research, 41, 2109–2116.CrossRefGoogle Scholar
  34. Reichert, P., Borchardt, D., Henze, M., Rauch, W., Shanahan, P., Somlyody, L., & Vanrolleghem, P. (2001). River water quality model no. 1: Biochemical process equations. Water Science and Technology, 43(5), 11–30.Google Scholar
  35. Ruochuan, G., & Heinz, G. S. (1995). Stratification dynamics in wastewater stabilization ponds. Water Resources, 29, 1909–1923.Google Scholar
  36. Sah, L., Rousseau, D. P. L., Hooijmans, C. M., & Lens, P. N. L. (2011). 3D model for a secondary facultative pond. Ecological Modelling, 222(9), 1592–1603.CrossRefGoogle Scholar
  37. Salter, H. E., Ta, C. T., Ouki, S. K., & Williams, S. C. (2000). Three-dimensional computational fluid dynamic modelling of a facultative lagoon. Water Science and Technology, 42(10), 335–342.Google Scholar
  38. Senzia, M. A., Mayo, A. W., Mbwette, T. S. A., Katima, J. H. Y., & Jorgensen, S. E. (2002). Modelling nitrogen transformation and removal in primary facultative ponds. Ecological Modelling, 154, 207–215.CrossRefGoogle Scholar
  39. Shilton, A. (2005). Pond treatment technology. London: IWA Publishing. ISBN 1843390205.Google Scholar
  40. Shilton, A., & Harrison, J. (2003). Integration of coliform decay within a CFD (computational fluid dynamic) model of a waste stabilisation pond. Water Science and Technology, 48(2), 205–210.Google Scholar
  41. Shilton, A. N., & Mara, D. D. (2005). CFD (computational fluid dynamics) modelling of baffles for optimizing tropical waste stabilization pond system. Water Science and Technology, 51(12), 103–106.Google Scholar
  42. Sweeney, D. G., Cromer, N. J., Nixon, J. B., Ta, C. T., & Fallowfield, H. J. (2003). The spatial significance of water quality indicators in waste stabilization ponds—Limitations of residence time distribution analysis in predicting treatment efficiency. Water Science and Technology, 48(2), 211–218.Google Scholar
  43. Sweeney, D. G., Nixon, J. B., Cromer, N. J., & Fallowfield, H. J. (2005). Profiling and modelling of thermal changes in a large waste stabilisation pond. Water Science and Technology, 51(12), 163–172.Google Scholar
  44. Toprak, H. (1994). Empirical modelling of sedimentation which occurs in anaerobic waste stabilization ponds using a lab-scale semi-continuous reactor. Environmental Technology, 15(2), 125–134.CrossRefGoogle Scholar
  45. Vega, G. P., Pena, M. R., Ramirez, C., & Mara, D. D. (2003). Application of CFD modelling to study the hydrodynamics of various anaerobic pond configurations. Water Science and Technology, 48(2), 163–171.Google Scholar
  46. Versteeg, H. K., Malalasekera, W. (2007). An introduction to computational fluid dynamics: The finite volume method (2nd ed.). Pearson Education Limited. ISBN 978-0-13-127498-3.Google Scholar
  47. von Sperling, M. (2005). Modelling coliform removal in 186 facultative and maturation ponds around the world. Water Research, 39, 5261–5273.CrossRefGoogle Scholar
  48. Wehner, J. F., & Wilhelm, R. H. (1956). Boundary conditions of flow reactors. Chemical Engineering, 6, 89–96.CrossRefGoogle Scholar
  49. Wood, M. G., Greenfield, P. F., Howes, T., Johns, M. R., & Keller, J. (1995). Computational fluid dynamic modelling of wastewater ponds to improve design. Water Science and Technology, 31(12), 111–118.CrossRefGoogle Scholar
  50. Wood, M. G., Howes, T., Keller, J., & Johns, M. R. (1998). Two dimensional computational fluid dynamic models for waste stabilization ponds. Water Research, 32, 958–963.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Leena Sah
    • 1
  • Diederik P. L. Rousseau
    • 1
    • 3
    Email author
  • Christine M. Hooijmans
    • 2
  1. 1.Department of Environmental ResourcesUNESCO-IHE Institute for Water EducationDelftthe Netherlands
  2. 2.Department of Municipal Water and InfrastructureUNESCO-IHE Institute for Water EducationDelftthe Netherlands
  3. 3.Research Group EnBiChemUniversity College West FlandersKortrijkBelgium

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