Revista UIS Ingenierías

Vol. 21 No. 4 (2022): Revista UIS Ingenierías
Articles

Estimation of sludge production in conventional drinking water treatment plants trough prediction models

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  • Patricia Torres-Lozada ,
  • Luis Ancizar Arango-Vallejo ,
  • Wilmar Alexander Torres-López
Patricia Torres-Lozada
Universidad del Valle
Luis Ancizar Arango-Vallejo
Universidad del Valle
Wilmar Alexander Torres-López
Universidad del Valle
3D
DOI: https://doi.org/10.18273/revuin.v21n4-2022008

Published 2022-12-09

Keywords

  • drinking water treatment,
  • drinking water sludge,
  • empiric models,
  • predictive sludge production,
  • stochastic models

How to Cite

Torres-Lozada , P., Arango-Vallejo , L. A. ., & Torres-López, W. A. . (2022). Estimation of sludge production in conventional drinking water treatment plants trough prediction models . Revista UIS Ingenierías, 21(4), 87–96. https://doi.org/10.18273/revuin.v21n4-2022008

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Abstract

The drinking water treatment plants (DWTP) generates sludges that are retained mainly in the sedimentation stage, and to adequate management, it is important to know the produced quantities. With this objective, this study evaluated different empirical models (AFEE, Cornwell & Koppers, Coşkun, CETESB, AWWA and Kawamura) and stochastic models (ARIMA) for the prediction of sludge production in a conventional DWTP that uses aluminum sulfate as a coagulant. Among the empirical models, the first three, presented better fit with the observed data; however, the ARIMA (0,1,2) was the best model, with a difference of 1.51% between the predicted and the observed values (2173.65 ± 549 vs 2207 Kg / day of sludge on a dry basis), which demonstrate the applicability to estimate sludge production.

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References

  1. World Health Organization, Guidelines for Drinking-water Quality, 3rd ed. Geneva: World Healt Organization, 2011.
  2. A. Pérez-Vidal, P. Torres-Lozada, J. Escobar-Rivera, “Hazard identification in watersheds based on water safety plan approach: case study of Cali-Colombia,” Environ. Eng. Manag. J., vol. 15, no. 4, pp. 861–872, 2016, doi: http://10.30638/eemj.2016.093
  3. W. Q. Betancourt, J. B. Rose, “Drinking water treatment processes for removal of Cryptosporidium and Giardia,” Vet. Parasitol., vol. 126, no. 1–2, pp. 219–234, 2004, doi: http://10.1016/j.vetpar.2004.09.002
  4. S. R. Qasim, E. M. Motley, G. Zhu, Water Works Engineering: Planning, Design, and Operation. Prentice Hall PTR, 2000. [Online]. Available: https://books.google.com/books?id=cAlSAAAAMAAJ
  5. R. F. Quirós, “Lodos producidos en el tratamiento del agua potable,” Técnica Ind., vol. 275, p. 47, 2008.
  6. L. Di Bernardo, D. B. Dantas, “Métodos e técnicas de tratamento de água,” Eng. Sanit. e Ambient., vol. 11, no. 2, pp. 107–107, 2006, doi: http://10.1590/S1413-41522006000200001
  7. Y. Q. Zhao, X. H. Zhao, A. O. Babatunde, “Use of dewatered alum sludge as main substrate in treatment reed bed receiving agricultural wastewater: Long-term trial,” Bioresour. Technol., vol. 100, no. 2, pp. 644–648, 2009, doi: http://10.1016/j.biortech.2008.07.040
  8. J. H. Adler, “Fables of the Cuyahoga: Reconstructing a History of Environmental Protection,” SSRN Electron. J., 2002, doi: http://10.2139/ssrn.333140
  9. O. Ceron, S. Millan, F. Espejel, A. Rodríguez, R. M. Ramirez, “Aplicación de lodos de plantas potabilizadoras en materiales cementantes para elaborar productos de la construcción,” trabajo fin de curso, Universidad Nacional Autónoma de México, Facultad de Estudios Superiores Zaragoza, UNAM.
  10. P. Torres, D. Hernández, D. Paredes, “Uso productivo de lodos de plantas de tratamiento de agua potable en la fabricación de ladrillos cerámicos,” Rev. Ing. construcción, vol. 27, no. 3, pp. 145–154, 2012, doi: http://10.4067/S0718-50732012000300003
  11. C. Ferone et al., “Sustainable management of water potabilization sludge by means of geopolymers production,” J. Clean. Prod., vol. 229, pp. 1–9, 2019, doi: http://10.1016/j.jclepro.2019.04.299
  12. S. De Carvalho Gomes, J. L. Zhou, W. Li, G. Long, “Progress in manufacture and properties of construction materials incorporating water treatment sludge: A review,” Resour. Conserv. Recycl., vol. 145, pp. 148–159, 2019, doi: http://10.1016/j.resconrec.2019.02.032
  13. V. T. Katayama, C. P. Montes, T. H. Ferraz, D. M. Morita, “Quantificação da produção de lodo de estações de tratamento de água de ciclo completo: uma análise crítica,” Eng. Sanit. e Ambient., vol. 20, no. 4, pp. 559–569, 2015, doi: http://10.1590/S1413-41522015020040105046
  14. “Comisión de regulación de agua potable y saneamiento básico,” 2012. [En línea]. Disponible en: https://www.cra.gov.co/
  15. B. O. Ferreira, M. R. Vianna, “Caracterização qualitativa e quantitativa do lodo originário dos decantadores de uma estação de tratamento de água da região metropolitana de Belo Horizonte tratando água de baixa turbidez,” Construindo, pp. 17–20, 2011.
  16. A. Pérez-Vidal, J. C. Escobar-Rivera, P. Torres-Lozada, “Evaluación del riesgo en procesos de tratamiento de agua para el desarrollo de un Plan de Seguridad del Agua – PSA,” DYNA, vol. 85, no. 206, pp. 304–310, 2018, doi: http://10.15446/dyna.v85n206.65427
  17. American Water Works Association, Water quality and treatment: A Handbook Of Community Water Supplies. New York, 1999.
  18. D. Bartiko, M. De Julio, “Construção e emprego de diagramas de coagulação como ferramenta para o monitoramento contínuo da floculação em águas de abastecimento,” Ambient. e Agua - An Interdiscip. J. Appl. Sci., vol. 10, no. 1, 2015, doi: http://10.4136/ambi-agua.1239
  19. A. Saron, B. M. Barbosa, “Quantificação de lodo em estação de tratamento de água,” trabajo de maestría, Escola Politécnica, Universidade de São Paulo, doi: https://10.11606/D.3.2012.tde-19072013-161144 2001
  20. G. F. Januário, S. S. Ferreira Filho, “Planejamento e aspectos ambientais envolvidos na disposição final de lodos das estações de tratamento de água da Região Metropolitana de São Paulo,” Eng. Sanit. e Ambient., vol. 12, no. 2, pp. 117–126, 2007, doi: http://10.1590/S1413-41522007000200002
  21. American Water Works Association, Alum sludge in the aquatic environment. AWWA Research Foundation and American Water Works Association, 1978.
  22. D. A. Cornwell, H. M. Koopers, Slib, Schlamm, Sludge. AWWARF and KIWA Ltd., 1990.
  23. S. Kawamura, Integrated design of water treatment facilities, 1st ed. New York, 2000.
  24. S. Coşkun, “Evsel atık sulardan partikül kirliliği gideriminde alüm çamurunun koagülant olarak kullanılması,” SDÜ Fen Bilimleri Enstitüsü, 2008.
  25. G. E. P. Box, G. Jenkins, Time series analysis, Forecasting and control. San Francisco, 1976.
  26. G. Boyd, D. Na, Z. Li, S. Snowling, Q. Zhang, P. Zhou, “Influent Forecasting for Wastewater Treatment Plants in North America,” Sustainability, vol. 11, no. 6, p. 1764, 2019, doi: http://10.3390/su11061764
  27. C. Chen, L.-M. Liu, “Joint Estimation of Model Parameters and Outlier Effects in Time Series,” J. Am. Stat. Assoc., vol. 88, no. 421, pp. 284–297, 1993, doi: http://10.1080/01621459.1993.10594321
  28. G. E. P. Box, D. R. Cox, “An Analysis of Transformations,” J. R. Stat. Soc. Ser. B, vol. 26, no. 2, pp. 211–243, 1964, doi: http://10.1111/j.2517-6161.1964.tb00553.x
  29. D. A. Dickey, W. A. Fuller, “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,” J. Am. Stat. Assoc., vol. 74, no. 366a, pp. 427–431, 1979, doi: http://10.1080/01621459.1979.10482531
  30. V. Guerrero, Análisis estadístico de series de tiempo económicas, 2nd ed. Thomson, 2003.
  31. G. E. P. Box, G. Jenkins, G. C. Reinsel, G. M. Ljung, Time series analysis: Forecasting and control. New York, 2015.
  32. T. R. D. C. Team, R: A Language and Environment for Statistical Computing. Vienna, 2013.
  33. IDEAM, “Resolución 062 de 2007,” Ministerio de Hacienda y Crédito Público, Ministerio de Vivienda, Ciudad y Territorio, Fonda Nacional de Vivienda – Fonvivienda, pp. 1–55, 2007.
  34. L. A. Arango, “Valorización de lodos aluminosos generados en procesos de potabilización en la fabricación de bloques de adobe,” Universidad del Valle, 2015.
  35. A. Amirtharajah, K. M. Mills, “Rapid-mix design for mechanisms of alum coagulation,” J. Am. Water Works Assoc., vol. 74, no. 4, pp. 210–216, 1982, doi: http://10.1002/j.1551-8833.1982.tb04890.x
  36. C. Montoya, D. Loaiza, P. Torres, C. H. Cruz, J. C. Escobar, “Efecto Del Incremento En La Turbiedad Del Agua Cruda Sobre La Eficiencia De Procesos Convencionales De Potabilización,” Rev. EIA, vol. 8, no. 16, pp. 137–148, 2011.
  37. D. Peña, Análisis de Series Temporales. España: Alianza, 2010.
  38. J. D. Cryer K. S. Chan, Time series analysis with applications in R, 2nd ed. 2008.
  39. M. V Martínez, “Estudio para el tratamiento, manejo y disposición final de lodos generados en plantas de tratamiento de agua potable,” trabajo fin de grado, Escuela Politécnica Nacional, Quito, 2012.