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Francisco Cubillo  - - - 
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Distribution of Articles published per year 

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Article 4 Reads 1 Citation A metric approach to measure resilience in water supply systems Francisco Cubillo, Ángela Martínez-Codina Published: 27 July 2017
Journal of Applied Water Engineering and Research, doi: 10.1080/23249676.2017.1355758
DOI See at publisher website
Article 3 Reads 0 Citations Statistical Dependence of Pipe Breaks on Explanatory Variables Patricia Gómez-Martínez, Francisco Cubillo, Francisco J. Mar... Published: 24 February 2017
Water, doi: 10.3390/w9030158
DOI See at publisher website ABS Show/hide abstract
Aging infrastructure is the main challenge currently faced by water suppliers. Estimation of assets lifetime requires reliable criteria to plan assets repair and renewal strategies. To do so, pipe break prediction is one of the most important inputs. This paper analyzes the statistical dependence of pipe breaks on explanatory variables, determining their optimal combination and quantifying their influence on failure prediction accuracy. A large set of registered data from Madrid water supply network, managed by Canal de Isabel II, has been filtered, classified and studied. Several statistical Bayesian models have been built and validated from the available information with a technique that combines reference periods of time as well as geographical location. Statistical models of increasing complexity are built from zero up to five explanatory variables following two approaches: a set of independent variables or a combination of two joint variables plus an additional number of independent variables. With the aim of finding the variable combination that provides the most accurate prediction, models are compared following an objective validation procedure based on the model skill to predict the number of pipe breaks in a large set of geographical locations. As expected, model performance improves as the number of explanatory variables increases. However, the rate of improvement is not constant. Performance metrics improve significantly up to three variables, but the tendency is softened for higher order models, especially in trunk mains where performance is reduced. Slight differences are found between trunk mains and distribution lines when selecting the most influent variables and models.
Conference 5 Reads 0 Citations An approach to measuring resilience to manage water supply systems Ángela Martínez-Codina, Francisco Cubillo Published: 16 November 2016
The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-d003
DOI See at publisher website
Conference 8 Reads 0 Citations Development of an asset lifetime model for distribution network management Patricia Gómez-Martinez, Francisco Cubillo Published: 16 November 2016
The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-d004
DOI See at publisher website