Study of the spatiotemporal correlation between sediment-related blockage events in Bogotá's sewer system

The planning and scheduling of maintenance operations of sewer systems generate a complex decision-making environment due to the difficulty in the collection of periodic information about the condition of their components. Thus, the entities in charge carry out these operations with a corrective approach. Due to the above, it is necessary to develop decision support tools to enhance preventive maintenance strategies. This document presents the extension of the statistical model of Rodríguez et al. (2012) in order to study the impact of spatiotemporal correlation between failure events, using Log-Gaussian Cox Process models. In addition, association of failure occurrences to environmental and system covariates was assessed. The proposed method was applied to a case study of sediment-related blockages in the sewer system of an operative zone of Bogotá (Colombia). The results of this research improve the accuracy of failure prediction models, and allow the identification of areas of high failure risk.

• Autores: Soriano Pulido, Eliana María
• Fecha de publicación: 2018
• Institución: Universidad de los Andes
• Repositorio: Séneca: repositorio Uniandes
• Idioma: spa
• OAI Identifier: oai:repositorio.uniandes.edu.co:1992/34222
• Acceso en línea: http://hdl.handle.net/1992/34222
• Palabra clave: Alcantarillado - Mantenimiento y reparación - Investigaciones - Métodos de simulacón; Procesos de Gauss - Investigaciones - Estudio de casos; Algoritmos genéticos - Investigaciones; Ingeniería
• Rights: openAccess
• License: https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf