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From Rainwater Harvesting to Rainwater Management Systems Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia

Authors : Nathalie Hernández, Nicolas Caradot, Hauke Sonnenberg, Pascale Rouault, Andrés Torres

Published in: New Trends in Urban Drainage Modelling

Publisher: Springer International Publishing

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Abstract

As in most of the cities around the world, in the last 30 years Latin-American ones have focused on investing in building infrastructure to provide sewer and water services to the communities. However, these infrastructures are going aging day to day. The municipalities need to extend management activities by the development of support tools such as deterioration models to face the aging problem. In the literature of sewer asset management, SVM has been a useful tool to predict and forecast the structural condition of pipes. In this work, the use of differential evolution method as optimization tool was implemented to find the optimal hyper-parameters for SVM models. The SVM models were applied in the main cities of Colombia (Bogota and Medellin) given as a result that the optimized SVM model provides less than 5% of deviation in the prediction of structural conditions in both cities.

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previous chapter Evaluating City Scale Surface Water Management Using a Rapid Assessment Framework in Melbourne, Australia
next chapter Climate Change Impact on Water Supply Demands: Case Study of the City of Skopje
Literature
AWWA: Buried no longer: confronting America’s water infrastructure challenge. AWWA’s infrastructure financing report, Boulder CO (2012)
Baker, V.S., Imade, G.E., Molta, N.B., Tawde, P., Pam, S.D., Obadofin, M.O., Baker, M.: Cytokine-associated neutrophil extracellular traps and antinuclear antibodies in Plasmodium falciparum infected children under six years of age. Malaria J. 7(1), 41 (2008)CrossRef
Caradot, N., Sonnenberg, H., Hartmann, A., Kropp, I., Ringe, A., Denhez, S., Timm, M., Rouault, P.: The influence of data availability on the performance of sewer deterioration modelling. In: 10th International Urban Drainage Modelling Conference, 20–23 September 2015. Mont-Sainte-Anne, Québec, Canada (2015)
Empresa de Acueducto y Alcantarillado de Bogotá EAAB: NS – 058. Aspectos Técnicos para inspección y mantenimiento de redes y estructuras de alcantarillado. EAAB-E.S.P., Bogotá, Colombia (2001)
Empresas Públicas de Medellin EPM & INGENIERIA TOTAL LTDA: Metodología para el diagnóstico y evaluación de redes de Alcantarillado con CCTV. Departamento de Diagnóstico e inspección de redes de alcantarillado; EPM E.S.P., Medellín, Antioquía, Colombia (2010)
Caradot, N., Sonnenberg, H., Kropp, I., Ringe, A., Denhez, S., Hartmann, A., Rouault, P.: The relevance of sewer deterioration modelling to support asset management strategies. Urban Water J., 1–9 (2017)
Genton, M.G.: Classes of kernels for machine learning: a statistics perspective. J. Mach. Learn. Res. 2, 299–312 (2002)MathSciNetMATH
Gunn, S.R.: Support vector machines for classification and regression. ISIS Tech. Rep. 14(1), 5–16 (1998)
Hernandez, N., Obregón, N., Torres, A.: Identificación de factores de tipo categórico relacionados con la condición estructural de tuberías de alcantarillado de Bogotá a partir de conceptos de entropía de la información. Ingeniería Solidaria 12(19), 63–71 (2016)CrossRef
Hernández, N., Caradot, N., Sonnerberg, H., Rouault, P., Torres, A.: Support tools to predict the critical structural condition of uninspected sewer pipes in Bogota D.C. In: The Leading Edge Sustainable Asset Management of Water and Wastewater Infrastructure Conference, Trondheim, Norway, 20–22 June 2017 (2017a)
Hernández, N., Caradot, N., Sonnerberg, H., Rouault, P., Torres, A.: Support Vector Machines used for the prediction of the structural conditions of pipes in Bogota’s sewer system. In: 14th International Conference on Urban Drainage, Prague, Czech Republic, 10–15 September 2017 (2017b)
Hornik, K., Meyer, D., Karatzoglou, A.: Support vector machines in R. J. Stat. Softw. 15(9), 1–28 (2006)
Lardé, J., Sánchez, R.: La brecha de infraestructura económica y las inversiones en América Latina (2014)
Mashford, J., Marlow, D., Tran, D., May, R.: Prediction of sewer condition grade using support vector machines. J. Comput. Civ. Eng. 25(4), 283–290 (2010)CrossRef
Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution - A Practical Approach to Global Optimization. Springer, Heidelberg (2006)MATH
Torres, A., Lepot, M., Bertrand-Krajewski, J.L.: Local calibration for a UV/Vis spectrometer: PLS vs. SVM. A case study in a WWTP. In: 7th International Conference on Sewer Processes and Networks, pp. 1–8, August 2013
Metadata
Title
Optimizing SVM Model as Predicting Model for Sewer Pipes in the Two Main Cities in Colombia
Authors
Nathalie Hernández
Nicolas Caradot
Hauke Sonnenberg
Pascale Rouault
Andrés Torres
Copyright Year
2019
Book
New Trends in Urban Drainage Modelling

Print ISBN: 978-3-319-99866-4

Electronic ISBN: 978-3-319-99867-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-99867-1_159