Spatiotemporal Modelling of Sediment-Related Blockages in the Sewer System of Bogotá (Colombia)

Abstract

The planning and scheduling of maintenance operations of large sewer systems generate a complex decision-making environment due to the difficulty in the collection of spatiotemporal information about the operational and structural condition of their components (e.g. pipes, gully pots and manholes). Thus, water utilities generally carry out these operations following a corrective approach. This paper studies the spatiotemporal distribution of failure events, considering the stochastic process involved using a Log-Gaussian Cox process model. In addition, association of failure occurrences to environmental and sewer system covariates was assessed. The proposed method was applied to analyze sediment-related blockages in the sewer system of an operative zone of Bogotá (Colombia).