Simulation and machine learning strategies for enabling integrated water resource management: H2OLeak project

iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society

Volumn , Issue , 2012, Pages 3092-3100

  Candelieri, Antonio ^a   Messina, Enza ^a   Malacrida, Alberto ^b  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b Geographic Information Systems   (Italy)

Author keywords

Clustering; Leak detection; Sectorization; Simulation; Water resource management

Indexed keywords

EID: 84894124940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. th Report of Session 2005-06. London: Science and Technology Committee, 2006.
2. Archetti, F., Campanelli, P., Fersini, E., Messina, E., A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means, In: H. Legind Larsen et al. (Eds.) FQAS 2006, LNAI 4027, Springer-Verlag Berlin Heidelberg, 257-269, 2001.
3. Behzadian, K., Kapelan, Z., Savic, D.A., and Ardeshir, A., Stochastic sampling design using multiobjective genetic algorithm and adaptive neural networks. Environmental Modelling and Software, 24(4), 530-541, 2009.
4. Buchberger, S.G. and Nadimpalli, G., Leak estimation in water distribution systems by statistical analysis of flow readings. Journal of Water Resources Planning and Management, 130(4), 321-329, 2004.
5. Covas, D., Ramos, H., Lopes, N., and Almeida, A.B., Water pipe system diagnosis by transient pressure signals. In: Proceedings of the 8th Annual Water Distribution Systems Analysis Symposium. Cincinnati, USA, 2006.
6. th Annual Conference on Computational Learning Theory, 351-363, 2002.
7. Dobriceanu, M., Bitoleanu, A., Popescu, M., Enache, S., Subtirelu, E., SCADA System for Monitoring Water Supply Networks. WSEAS TRANSACTIONS on SYSTEMS, 10(7), 1070-1079, 2008.
8. Farley, M. and Trow, S. Losses in water distribution networks. London: IWA Publishing, 2003.
9. Farley, M., Finding 'difficult' leaks. International Water Association Specialist Group - Efficient Operation and Management, 2008. (Online: http://www.iwaom.org).
10. Fersini, E., Messina, E., Archetti, F., Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judical Folders, In: P. Perner (Ed.): ICDM 2010, LNAI 6171, Springer-Verlag Berlin Heidelberg, 237- 247, 2010.
11. Garcia, V.J., Cabrera, E. and Cabrera, E. Jr, The minimum night flow method revisited. In: Proceedings of the 8th Annual Water Distribution Systems Analysis Symposium. Cincinnati, USA, 2006.
12. Greyvnstein, B., Van Zyl, J.E., An experimental investigation into the pressure leakage relationship of some failed water pipes, In: Proceedings of Leakage 2005, Halifax, California, 2005.
13. Herrera, M., Canu, S., Karatzoglou, A., Perez-Garcia, R., Izquierdo, J., An approach to water supply clusters by semi-supervised learning, In: Proc. of Intern. Environ. Modelling and Software Society (iEMSs) 2010, Intern. Congr. on Environ. and Software Model. for Environ. Sake, 5th Biennial Meeting, Ottawa, Canada, 2010.
14. David A. Swayne, Wanhong Yang, A. A. Voinov, A. Rizzoli, T. Filatova (Eds.) Hochbaum, D.S., Shmoys, D.B., A best possible heuristic for the k-center problem. Mathematics of Operations Research, 10(2), 180-184, 1985.
15. ISTAT, Giornata mondiale dell'acqua, le statistiche dell'ISTAT (trad. World Water Day, the statitics of ISTAT), 2011. (Online: http://www3.istat.it/ salastampa/comunicati/non-calendario/20110321-00/testointegrale20110321.pdf).
16. Izquierdo, J., Herrera, M., Montalvo, I., Pérez-García, R., Division of Water Supply Systems into District Metered Areas Using a Multi-agent Based Approach. In Software and Data Technologies - Communications in Computer and Information Science. Eds. Cordeiro, J., Ranchordas, A., Shishkov, B. Springer Berlin Heidelberg. 50, 167-180, 2011.
17. Liemberger, R. and Farley, M., Developing a nonrevenue water reduction strategy Part 1: Investigating and assessing water losses. In: Proceeding of IWA WWC 2004 Conference. Marrakech, Morocco, 2004.
18. Mashford, J., De Silva, D., Marney, D., Burn, S., An approach to leak detection in pipe networks using analysis of monitored pressure values by support vector machine. Network and System Security, 3rd Intern. Conf. on, 534-539, 2009.
19. Muggleton, J.M., Brennan, M.J., and Linford, P.W. Axisymmetric wave propagation in fluid-filled pipes: wavenumber measurements in vacuo and buried pipes. Journal of Sound and Vibration, 270(1-2), 171-190, 2004.
20. Muggleton, J.M. and Brennan, M.J., Axisymmetric wave propagation in buried, fluid-filled pipes: effects of wall discontinuities. Journal of Sound and Vibration, 281(3-5), 849-867, 2005.
21. Puust, R., Kapelan, Z., Savic, D. A. and Koppel, T., A review of methods for leakage management in pipe networks, Urban Water Journal, 7(1), 25-45, 2010.
22. Robles, R. J., Choi, M., Assessment of the Vulnerabilities of SCADA, Control Systems and Critical Infrastructure Systems. International Journal of Grid and Distributed Computing, 2(2), 27-34, 2009.
23. Savaresi, M., Boley, D.L., On the performance of bisecting k-Means and PDDP, In: First SIAM International Conference on Data Mining, 1-14, 2011.
24. Schaeffer, S.E., Graph Clustering, Computer Science Review I, 27-64, 2007.
25. Steinbach, M., Karypis, G., Kumar, V., A comparison of Document Clustering Techniques, In KDD Workshop on Text Mining, 2000.
26. Van Zyl, J.E., Clayton, C.R.I., The effect of pressure on leakage in water distribution systems, Water management, 160, 109-114, 2007.
27. Wang, Z., Wei, Z., Yin, Q., The design of water supply network based on GIS. In Cybernetics and Intelligent Systems, 2008 IEEE Conference on, 209-213, 2008.
28. Yan, B., Su, X., Chen, Y., Functional Structure of Urban Water Supply Network based on GIS. In Computing, Communication, Control, and Management, 2008, CCCM'08, ISECS International Colloquium on, 348-352, 2008.