Abstract
Technical management of large water supply systems (WSS) is an increasingly complex problem. Water companies managing these systems have witnessed how the mathematical models of their networks lose accuracy and their engineering tools become obsolete. Consequently, they have no clear vision of the balance between production and distribution, that is to say, between supply and demand. As a result, water companies are interested in improving the control and management of their networks. One of the methods attracting great interest is that of division into DMAs (district metered areas). Division into DMAs splits an interconnected and intricate network into smaller, virtually independent sub-networks that can be better managed. However, the complexity of the problem of creating DMAs demands efficient techniques. In this contribution we use a multi-agent based approach that takes advantage of the distributed nature of WSS.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Drogoul, A., Vanbergue, D., Meurisse, T.: Multiagent based simulation: Where are the agents? In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 1–15. Springer, Heidelberg (2003)
Izquierdo, J., Montalvo, I., Pérez, R.: Aplicaciones de la inteligencia colectiva (multiagente) para la optimización de procesos en hidráulica urbana. VIII Seminario Iberoamericano – SEREA Influencia sobre el Cambio Climático, la eficiencia energética, de operaciones y Sistemas de Seguridad en el abastecimiento y el drenaje urbano (2008)
Kotina, R., Maturana, F.P., Carnahan, D.: Multi-agent control system for a municipal water system. In: Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, Madrid, Spain, pp. 464–469 (2006)
Nichita, C., Oprea, M.: Water Pollution Diagnosis with a Multi-Agent Approach. In: Proceedings of Artificial Intelligence and Soft Computing (2007)
Feuillette, S., Bousquet, F., Le Goulven, P.: SINUSE: a multi-agent model to negotiate water demand management on a free access water table. Environmental Modelling and Software 18(5), 413–427 (2003)
Hai-bo, L., Guo-chang, G., Jing, S., Yan, F.: Multi-agent immune recognition of water mine model. Journal of Marine Science and Application 4(2), 44–49 (2005)
Becu, N., Perez, P., Walker, A., Barreteau, O.: CatchScape: An integrated multi-agent model for simulating water management at the catchment scale, a northern Thailand case study. In: Ghassemi, F., et al. (eds.) Integrating Models for Natural Resources Management Across Disciplines, Issues and Scales. International Congress on Modelling and Simulation, Canberra, Australia, pp. 1141–1146 (2001)
Mikulecký, P., Bodnárová, A., Olševičová, K., Ponce, D., Haviger, J.: Application of multi-agent systems and ambient intelligence approaches in water management. In: 13th IWRA World Water Congress, Montpellier, France (2008)
Hailu, A., Thoyer, S.: Multi-Unit Auctions to Allocate Water Scarcity Simulating Bidding Behaviour with Agent Based Models. LAMETA Working paper 2005-01, EconWPA (2005)
Montalvo, I., Martínez, J. B., Izquierdo, J., Pérez-García, R.: Water Distribution System Design using Agent Swarm Optimization. In: Water Distribution System Analysis 2010 – WDSA 2010, Tucson, AZ, USA (2010)
Ayala-Cabrera, D., Herrera, M., Izquierdo, J., Pérez-García, R.: Towards the visualization of water supply system components with GPR images. In: Mathematical Models of Addictive Behaviour, Medicine & Engineering, UPV, Valencia, Spain (2010)
Izquierdo, J., Montalvo, I., Pérez-García, R., Izquierdo, F.J.: Hydraulic Transient Simulation in Networks using a Multi-agent based approach. In: Water Distribution System Analysis 2010 – WDSA 2010, Tucson, AZ, USA, September 12-15 (2010)
Gianetti, L., Maturana, F.P., Discenzo, F.M.: On the Computational Geometry of Pocket Machining. LNCS, pp. 500–510. Springer, Heidelberg (2005)
Maturana, F.P., Kotina, R., Staron, R., Tichý, P., Vrba, P.: Agent-based water\waste water control system architecture. In: IADIS International Conference Applied Computing (2006)
Cao, K., Feng, X., Ma, H.: Pinch multi-agent genetic algorithm for optimizing water-using networks. Computers & Chemical Engineering 31(12), 1565–1575 (2007)
Izquierdo, J., Herrera, M., Montalvo, I., Pérez-García, R.: Agent-based division of water distribution systems into District Metered Areas. In: International Conference on Software Data Technologies, Sofia, pp. 83–90 (2009)
Aguas de Valencia: Sectorización, https://www.aguasdevalencia.es/portal/web/Tecnologia/Tecnologia/GestionRedes/Sectorizacion.html (accessed: 24 September 2010)
Herrera, M., Pérez-García, R., Izquierdo, J., Montalvo, I.: Scrutinizing changes in water demand behavior. In: Positive Systems Lecture Notes in Control and Information Sciences, pp. 305–313. Springer, Heidelberg (2009)
Herrera, M., Torgo, L., Izquierdo, J., Pérez-García, R.: Predictive models for forecasting hourly water demand. Journal of Hydrology 387, 141–150 (2010)
Tzatchkov, V.G., Alcocer-Yamanaka, V.H., Bourguett-Ortíz, V.: Graph Theory Based Algorithms for Water Distribution Network Sectorization Projects. In: 8th Annual Water Distribution Systems Analysis Symposium, Cincinnati, Ohio, USA, August 27-30 (2006)
Morrison, J.: Managing leakage by District Metered Areas: a practical approach. Water 21, 44–46 (2004)
UK Water Industry Research Ltd: A Manual of DMA Practice. UK Water Industry Research, London (1999)
IWA Water Loss Task Force: District Metered Areas: Guidance Notes. Version, p. 100 (February 2007), http://www.waterlinks.org/upload_file/8f4be72e-5027-cbe8-40ed-ee12d1fe6495.pdf (accessed September 24, 2009)
Hunaidi, O.: Economic comparison of periodic acoustic surveys and DMA-based leakage management strategies. In: Proceedings of Leakage 2005 Conference, Halifax, N.S., Canada, pp. 322–336 (2005)
Maturana, F.P., et al.: Real time collaborative intelligent solutions. SMC (2), 1895–1902 (2004)
Wooldridge, M.: An introduction to MultiAgent Systems. John Wiley & Sons, Chichester (2002)
Weiss, G. (ed.): Multiagent systems: a modern approach to distributed artificial intelligence, p. 619. MIT Press, Cambridge (1999)
Stone, P., Veloso, M.: Multiagent Systems: A survey from a Machine Learning perspective. Autonomous Robots 8(3), 345–383 (2000)
Lee, R.S.T.: Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology. Springer, Heidelberg (2006)
NetLogo homepage (2007), http://ccl.northwestern.edu/netlogo/
Rossman, L. A.: EPANET 2 User’s Manual. Cincinati (IN), USA, Environmental Protection Agency (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Izquierdo, J., Herrera, M., Montalvo, I., Pérez-García, R. (2011). Division of Water Supply Systems into District Metered Areas Using a Multi-agent Based Approach. In: Cordeiro, J., Ranchordas, A., Shishkov, B. (eds) Software and Data Technologies. ICSOFT 2009. Communications in Computer and Information Science, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20116-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-20116-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20115-8
Online ISBN: 978-3-642-20116-5
eBook Packages: Computer ScienceComputer Science (R0)