Abstract
Existent databases of urban sewerage networks in developing countries have shown imprecisions in data related to physical characteristics of sewer pipes. This fact limits the appropriateness of databases for being used as a support for asset management tools for sewerage. This paper is aimed at proposing the use of decision trees and information entropy for prioritizing sewer pipes by their cleaning, rehabilitation, replacement activities demand, based on 13 sub basins belonging to El Salitre basin of Bogota, with a total area of 4515 Ha and 12842 pluvial and combined sewer pipes. The starting point was the flooding reliability estimate of 2337 sewer pipes with well specified physical characteristics. The classificatory model showed a capacity for prediction of roughly 62 %. Sewer pipes were classified by using 28 rules defined as a function of the flooding reliability. As a result, 3383 sewer pipes (26 % of the total) were found to have a high-prioritization proactive maintenance demand.
| Translated title of the contribution | Tools for the implementation of proactive maintenance in urban sewer systems by the use of flooding reliability and entropy of information concepts |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 152-166 |
| Number of pages | 15 |
| Journal | Revista Facultad de Ingenieria |
| Issue number | 65 |
| State | Published - 2012 |
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