District management areas characterisation in water network based on clustering

• Published in: Water science & technology. Water supply Vol. 9; no. 5; pp. 591 - 600
• Main Authors: PEREZ, R, DE LAS HERAS, S, AGUILAR, J, PASCUAL, J, PERALTA, A, LANDEROS, E
• Format: Journal Article Publication
• Language: English
• Published: London International Water Association 01.12.2009; IWA Publishing
• Subjects: Algorithms; Applied sciences; Buildings. Public works; Classification; Clustering; Detection; Distribution. Storage; Enginyeria mecànica; Exact sciences and technology; Explotació; Fuzzy sets; Knowledge management; Leak detection; Leakage; Mecànica de fluids; Methodology; Methods; Recursos hidràulics; Water; Water shortages; Water supply; Water supply. Pipings. Water treatment; Àrees temàtiques de la UPC; Characterization; Choice; Water management; Water supply; Classification; Descriptor; DMA; Local scope; clustering; Water supply system network; Decision table; water network characterisation
• ISSN: 1606-9749; 0273-1223; 1607-0798
• DOI: 10.2166/ws.2009.633

The division of a network in different sectors is a usual practice in Water Companies. It improves the management of the network in different senses. Sectors have more homogenous characteristics and need specific cares and treatments that is not the same all through the network. Specifically for leakage detection and assessment it is interesting to know the performance of the sector before any leakage detection strategy is applied. In this paper a characterisation methodology for the sectors is presented. This methodology is based on the knowledge provided by the company but has been analysed using clustering techniques. The main objective of the classification was to give a scope of the different types of sectors present in the network. A decision table based on the relevant descriptors was built. This allowed choosing three interesting pilot sectors for the leakage detection methodology study.