Published

2016-09-01

Physical characteristics of pipes as indicators of structural state for decision-making considerations in sewer asset management

Las características físicas de las tuberías como indicadores de la condición estructural y su utilización para tomar decisiones en la gestión de activos del sistema de alcantarillado

Keywords:

k-means, sewer asset management, cluster analysis, Principal Components Analysis (PCA), proactive sewer management, sewer pipes, structural pipes state, Bogota’s sewer system (en)
k-means, gestión de sistemas de alcantarillado, cluster, análisis de componentes principales (ACP), gestión proactiva de alcantarillados, tuberías de alcantarillado, condición estructural de tuberías de alcantarillado, sistema de alcantarillado de Bogotá (es)

Downloads

Authors

  • Liliana López-Kleine Associate Professor, Statistics Department, Universidad Nacional de Colombia. Bogotá, Colombia.
  • Nathalie Hernandez Pontificia Universidad Javeriana, Bogotá, Colombia.
  • Andres Torres Pontificia Universidad Javeriana, Bogotá, Colombia.

Sewer deterioration is a problem that affects many cities of the world. This affects the structural state of the sewer systems, as well as its hydraulic capacity and the service level. As a consequence, the sewer system stakeholders are working on the development of a proactive sewer management to make decision in time and avoid public emergencies. Therefore, the objective of this work was to predict the variable state using a clustering algorithm (k-means) in Bogotá’s sewer pipes based on its physical characteristics. Among the most representative results was to find a relationship between pipes’ characteristics and their structural state (chi-squared). Furthermore, the slope and ground level variables were the most related ones to the state of the pipes. The detected relationships are linear and can be used to make management decisions when pipes are clustered and the clusters are mapped on a principal component plane.

 

El deterioro de los sistemas de alcantarillado es un problema que afecta a las ciudades, no solo en su estado estructural sino también en su capacidad hidráulica y nivel de servicio. En consecuencia, los encargados del sistema de alcantarillado están trabajando en el desarrollo de una gestión proactiva para tomar decisiones a tiempo y evitar emergencias públicas. Es por esto que el objetivo de este trabajo fue predecir la condición de las tuberías en la ciudad de Bogotá utilizando algoritmos tipo cluster (k –means), para discriminar las tuberías que tienen buena condición estructural de las que no. Entre los resultados más sobresalientes se encontró una relación entre las características estructurales de las tuberías y su estado (prueba Chi – cuadrado) siendo la pendiente y la profundidad las variables más relacionadas con el estado de las tuberías. Adicionalmente, estas relaciones encontradas resultaron lineales al agrupar las tuberías en un plano de componentes principales.

References

Allouche, E. N., & Freure, P. (2002). Management and Maintenance Practices of Storm and Sanitary Sewer in Canadian Municipalities. Institute for Catastrophic Loss Reduction.

Barragán Nieto, S., Torres A., & Prada Sarmiento, L. F. (2014). Selección de tuberías de alcantarillado en concreto según su desempeño estructural en escenarios geotécnicos y de tráfico. XIV Congreso Colombiano de Geotecnia & IV Congreso Suramericano de Ingenieros Jóvenes Geotécnicos. Bogotá D.C. 15 al 18 de Octubre de 2014, 265-276.

Davies, J. P., Clarke, B. A., Whiter, J. T., & Cunninghan, R. J. (2001). Factors influencing the structural deterioration and collage of rigid sewer pipes. Urban water 3, (73-89)

Empresa de Acueducto y Alcantarillado de Bogotá EAAB.(2001). “NS – 058. Aspectos Técnicos para inspección y mantenimiento de redes y estructuras de alcantarillado”, Bogotá, Colombia, EAAB-E.S.P.: 2001

Ferguson, B. C., Brown, R. R., & Deletic, A. (2013). Diagnosing transformative change in urban water systems: Theories and frameworks. Global Environmental Change, 23(1), February 2013, Pages 264-280, ISSN 0959-3780. DOI: 10.1016/j.gloenvcha.2012.07.008.

Hartigan, J. A., & Wong, M. A. (1979). Algorithm AS 136: A k-means clustering algorithm. Journal of the Royal Statistical Society. Series C (Applied Statistics), 28(1), 100-108.

Hao, T., Rogers, C. D. F., Metje, N., Chapman, D. N., Muggleton, J. M., Foo, K. Y., & Parker, J. (2012). Condition assessment of the buried utility service infrastructure. Tunnelling and Underground Space Technology, 28, 331-344.

Jiang, G., Sun, J., Sharma, K. R., & Yuan, Z. (2015). Corrosion and odor management in sewer systems. Current Opinion

in Biotechnology, Volume 33, June 2015, Pages 192-197, ISSN 0958-1669. DOI:10.1016/j.copbio.2015.03.007

Kleidorfer, M., Moderl, M., Tscheirker-Gratl, F., Hammerer, M., Kinzel, H., & Rauch, W. (2013). Integrated planning of rehabilitation strategies for sewers, Water science & technology, Volumen 68.1 Pages 173-183. DOI: 10.2166

Lebart, L., Morineau, A., & Piron, M. (1995). Statistique Exploratoire Multidimensionnelle, 3. Dunod, Paris

Liu, Z., & Kleiner, Y. (2013). State of the art review of inspection technologies for condition assessment of water pipes. Measurement, 36(1), 1 -15.

López-Kleine, L., & Torres, A. (2014). UV-vis in situ spectrometry data mining through linear and nonlinear analysis methods. Dyna, 81(185), 182-188.

Mashford, J., Marlow, D., Tran, D., & May, R. (2010). Prediction of sewer condition grade using support vector machines.

Journal of Computing in Civil Engineering, 25(4), 283-290.

Micevski, T., Kuczera, G., & Coombes, P. (2002). Markov Model for Storm Water Pipe Deterioration. J. Infrastruct. Syst. 2002.8:49-56.

Niño, P., Angarita, H., Vargas, D., & Torres, A. (2012). Identificación factores de riesgo para la gestión patrimonial óptima

de sistemas de drenaje urbano: Estudio Piloto en la Ciudad de Bogotá. XXV Congreso Latinoamericano de Hidráulica SAN JOSÉ, COSTA RICA, 9 AL 12 DE SEPTIEMBRE DE 2012

Osman, H. (2012). Agent-based simulation of urban infrastructure asset management activities. Automation in Construction, 28, 45-57, ISSN 0926-5805. DOI: 10.1016/j.autcon.2012.06.004.

Saegrov, S. (2006). Care-s: Computer Aided Rehabilitation of Sewer and Storm Water Networks. International Water Association, London

Rodríguez, J. P., McIntyre, N., Díaz-Granados, M., & Maksimović, Č. (2012). A database and model to support proactive management of sediment-related sewer blockages, Water Research, ISSN 0043-1354. 46(15), 4571 - 4586.

Soto Jaramillo, C. M., & Jiménez Ramírez, C. (2011). Aprendizaje supervisado para la discriminación y clasificación

difusa. Dyna; 78(169), 26 - 33. U.S. Environmental Protection Agency. (1999). Collection systems, operation and maintenance fact sheet. EPA 832-F-99-031.

Ward, B., & Savić, D. A. (2012). A multi-objective optimization model for sewer rehabilitation considering critical risk of

failure. Water Sci Technol. 2012; 66(11):2410-7. DOI: 10.2166/wst.2012.393.

License

Copyright (c) 2016 Liliana López-Kleine, Nathalie Hernandez, Andres Torres

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The authors or holders of the copyright for each article hereby confer exclusive, limited and free authorization on the Universidad Nacional de Colombia's journal Ingeniería e Investigación concerning the aforementioned article which, once it has been evaluated and approved, will be submitted for publication, in line with the following items:

1.    The version which has been corrected according to the evaluators' suggestions will be remitted and it will be made clear whether the aforementioned article is an unedited document regarding which the rights to be authorized are held and total responsibility will be assumed by the authors for the content of the work being submitted to Ingeniería e Investigación, the Universidad Nacional de Colombia and third-parties;

2.    The authorization conferred on the journal will come into force from the date on which it is included in the respective volume and issue of Ingeniería e Investigación in the Open Journal Systems and on the journal's main page (https://revistas.unal.edu.co/index.php/ingeinv), as well as in different databases and indices in which the publication is indexed;

3.    The authors authorize the Universidad Nacional de Colombia's journal Ingeniería e Investigación to publish the document in whatever required format (printed, digital, electronic or whatsoever known or yet to be discovered form) and authorize Ingeniería e Investigación to include the work in any indices and/or search engines deemed necessary for promoting its diffusion;

4.    The authors accept that such authorization is given free of charge and they, therefore, waive any right to receive remuneration from the publication, distribution, public communication and any use whatsoever referred to in the terms of this authorization.