Software for partitioning and protecting a water supply network

References

• Alvisi, S., and M. Franchini. 2014. “A Heuristic Procedure for the Automatic Creation of District Metered Areas in Water Distribution Systems.” Urban Water Journal 11 (2): 137–159. doi: 10.1080/1573062X.2013.768681
   Web of Science ®Google Scholar
• Biggs, N., E. Lloyd, and R. Wilson. 1986. Graph Theory 1736–1936. NewYork: Oxford University Press.
   Google Scholar
• Bui, T., and C. Jones. 1993. “A Heuristic for Reducing Fill in Sparse Matrix Factorization.” In Proceedings of 6th SIAM Conf. Parallel Processing for Scientific Computing 445–452.
   Google Scholar
• Chourabi, H., T. Nam, S. Walker, J. R. Gil-Garcia, S. Mellouli, K. Nahon, T. Pardo, and H. J. Scholl. 2012. “ Understanding Smart Cities: An Integrative Framework.” In Proceedings of 45th Hawaii International Conference on System Sciences (HICCS 2012), IEEE Press, January, Maui, Hi, USA, 2289–2297.
   Google Scholar
• Di Nardo, A., and M. Di Natale. 2012. “A Design Support Methodology for District Metering of Water Supply Networks.” In Proceedings of the 12th Annual International Conference on Water Distribution Systems Analysis 2010, WDSA 2010, Tucson, AZ, USA, 870–877.
   Google Scholar
• Di Nardo, A., M. Di Natale, R. Greco, and G. F. Santonastaso. 2014a. “Ant Algorithm for Smart Water Network Partitioning.” Procedia Engineering 70: 525–534. doi: 10.1016/j.proeng.2014.02.058
   Google Scholar
• Di Nardo A., M. Di Natale, D. Musmarra, G. F. Santonastaso, V. G. Tzatchkov, and V. H. Alcocer Yamanaka. 2015. “Dual-use Value of Network Partitioning for Water System Management and Protection from Malicious Contamination.” Journal of Hydroinformatics 17 (3): 361–376. doi: 10.2166/hydro.2014.014
   Web of Science ®Google Scholar
• Di Nardo, A., M. Di Natale, and G. F. Santonasatso. 2014. “A Comparison between Different Techniques for Water Network Sectorization.” Water Science and Technology: Water Supply 14(6): 961–970.
   Google Scholar
• Di Nardo, A., M. Di Natale, G. F. Santonastaso, F. P. Tuccinardi, and G. Zaccone. 2014b. SWANP: Software for Automatic Smart Water Network Partitioning. In Proceedings of the 7th International Congress on Environment Modelling and Software, edited by Daniel P. Ames, Nigel W.T. Quinn, and Andrea E. Rizzoli, San Diego, CA, USA.
   Google Scholar
• Di Nardo A., M. Di Natale, G. F. Santonastaso, V. G. Tzatchkov, and V. H. Alcocer Yamanaka. 2014c. Optimal Design of Network Partitioning for Water Distribution System Protection from Intentional Contamination. In Proceedings of the 11th International Conference on Hydroinformatics (HIC) 2014, New York, USA.
   Google Scholar
• Di Nardo, A., M. Di Natale, G. F. Santonastaso, and S. Venticinque. 2013. “An Automated Tool for Smart Water Network Partitioning.” Water Resources Management 27 (13): 4493–4508. doi: 10.1007/s11269-013-0421-1
   Web of Science ®Google Scholar
• Diao, K., Y. Zhou, and W. Rauch. 2013. “Automated Creation of District Metered Area Boundaries in Water Distribution Systems.” Journal of Water Resources Planning and Management-ASCE 139 (2): 184–190. doi: 10.1061/(ASCE)WR.1943-5452.0000247
   Web of Science ®Google Scholar
• De Paola, F., N. Fontana, E. Galdiero, M. Giugni, D. Savic, and G. Sorgenti degli Uberti. 2014. “Automatic Multi-Objective Sectorization of a Water Distribution Network.” Procedia Engineering 89: 1200–1207. doi: 10.1016/j.proeng.2014.11.250
   Google Scholar
• Comellas, F., and E. Sapena. 2006. “A Multiagent Algorithm for Graph Partitioning.” Lecture Notes in Computer Science 3907: 279–285. doi: 10.1007/11732242_25
   Google Scholar
• Giustolisi, O., and L. Ridolfi. 2014. “A New Modularity-Based Approach to Segmentation of Water Distribution Network.” Journal of Hydraulic Engineering, ASCE, USA 140 (10): 1–14.
   Google Scholar
• Giustolisi, O., D. A. Savic, and Z. Kapelan. 2008. “Pressure-Driven Demand and Leakage Simulation for Water Distribution Networks”. Journal of Hydraulic Engineering 134 (5): 626–635. doi: 10.1061/(ASCE)0733-9429(2008)134:5(626)
   Web of Science ®Google Scholar
• Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Boston, MA: Addison Wesley.
   Google Scholar
• Gomes, R., A. Sá Marques, and J. Sousa. 2012. “Identification of the Optimal Entry Points at District Metered Areas and Implementation of Pressure Management.” Urban Water Journal 9 (6): 365–384. doi: 10.1080/1573062X.2012.682589
   Web of Science ®Google Scholar
• Grayman, W. M., Murray, R., and Savic, D. A. 2009. Effects of redesign of water systems for security and water quality actors. In Proceedings of the World Environmental and Water Resources Congress, edited by S. Starrett, 1–11. Kansas City, MO.
   Google Scholar
• Herrera, M., S. Canu, A. Karatzoglou, R. Pérez-García, and J. Izquierdo. 2010. An Approach to Water Supply Clusters by Semi-Supervised Learning. In Proceedings of International Environmental Modelling and Software Society (IEMSS), edited by D. A. Swayne, W. Yang, A. A. Voinov, A. Rizzoli, and T. Filatova, Ottawa, ON.
   Google Scholar
• Izquierdo, J., M. Herrera, I. Montalvo, and R. Pérez-García. 2011. “Division of Water Distribution Systems into District Metered Areas Using a Multi-Agent Based Approach.” Communication in Computer and Information Science 50 (4): 167–180. doi: 10.1007/978-3-642-20116-5_13
   Google Scholar
• Karypis, G., and V. Kumar. 1998. “Multilevel k-way Partitioning Scheme for Irregular Graphs.” Journal of Parallel and Distributed Computing 48 (1): 96–129. doi: 10.1006/jpdc.1997.1404
   Web of Science ®Google Scholar
• Kroll, D., and K. King. 2010. “Methods for Evaluating Water Distribution Network Early Warning Systems.” Journal - American Water Works Association 102 (1): 79–89.
   Web of Science ®Google Scholar
• Mays, L. W. 2000. Water Distribution Systems Handbook. NewYork: McGraw-Hill.
   Google Scholar
• Ostfeld, A., and E. Salomons. 2005. “Optimal Early Warning Monitoring System Layout for Water Networks Security: Inclusion of Sensors Sensitivities and Response Delays.” Civil Engineering and Environmental Systems 22 (3): 151–169. doi: 10.1080/10286600500308144
   Web of Science ®Google Scholar
• Pashaa, M. F. K., and K. Lanseya. 2009. “Water Quality Parameter Estimation for Water Distribution Systems.” Civil Engineering and Environmental Systems 26 (3): 231–248. doi: 10.1080/10286600802059080
   Web of Science ®Google Scholar
• Patnaik, P. 2007. A Comprehensive Guide to the Hazardous Properties of Chemical Substances. 3rd ed. Hoboken, NJ: Wiley.
   Google Scholar
• Rossman, L. A. 2000. “EPANET2 Users Manual.” Cincinnati, OH: US E.P.A.
   Google Scholar
• Sharma, A. K., and P. K. Swamee. 2005. “Application of Flow Path Algorithm in Flow Pattern Mapping and Loop Data Generation for a Water Distribution System.” Journal of Water Supply: Research and Technology 54 (7): 411–422.
   Web of Science ®Google Scholar
• Tarjan, R. 1972. “Depth-First Search and Linear Graph Algorithms.” SIAM Journal on Computing 1 (2): 146–160. doi: 10.1137/0201010
   Google Scholar
• Todini, E. 2000. “Looped Water Distribution Networks Design using a Resilience Index Based Heuristic Approach.” Urban Water 2: 115–122. doi: 10.1016/S1462-0758(00)00049-2
   Google Scholar
• Tzatchkov, V. G., V. H. Alcocer-Yamanaka, and V. B. Ortiz. 2006. Graph Theory Based Algorithms for Water Distribution Network Sectorization Projects. In Proceedings of 8th Annual Water Distribution Systems Analysis Symposium, Cincinnati, USA, edited by S. G. Buchberger, R. M. Clark, W. M. Grayman, and J. G. Uber, 1–15. Reston, VA: ASCE.
   Google Scholar
• Water Authorities Association and Water Research Centre. 1985. Leakage Control Policy and Practice. Technical Working Group on Waste of Water. London: WRc Group.
   Google Scholar
• Water Industry Research Ltd. 1999. A Manual of DMA Practice. London: UK Water Industry Research.
   Google Scholar
• Wooldridge M. 2002. An Introduction to MultiAgent Systems. Chichester: Wiley.
   Google Scholar
• Wrc/WSA/WCA Engineering and Operations Committee. 1994. Managing Leakage: UK Water Industry Managing Leakage, Report A-J. London: WRc/WSA/WCA.
   Google Scholar