A District Sectorization for Water Network Protection from Intentional Contamination

Abstract The introduction of cyanide with a backflow attack into a water system was studied. The recent development of techniques for water network sectorization, aimed to improve the management of water systems, represents also an efficient way to protect networks from intentional contamination. The possibility of closing gate valves by a remote control system to create an i-DMA (isolated District Meter Area) can reduce the risk of contamination and thus the extent of damage of a terroristic attack. The study proposes a novel technique for designing i-DMAs compatible with hydraulic performance and optimized for water network protection.

[1]  Armando Di Nardo,et al.  Water Network Sectorization Based on Graph Theory and Energy Performance Indices , 2014 .

[2]  Pradyot Patnaik,et al.  A comprehensive guide to the hazardous properties of chemical substances , 2007 .

[3]  Urmila M. Diwekar,et al.  Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty , 2007, Comput. Chem. Eng..

[4]  Armando Di Nardo,et al.  A heuristic design support methodology based on graph theory for district metering of water supply networks , 2011 .

[5]  Robert M. Clark,et al.  Simulating Exposures to Deliberate Intrusions Into Water Distribution Systems , 2005 .

[6]  Giovanni Francesco Santonastaso,et al.  Resilience and entropy as indices of robustness of water distribution networks , 2012 .

[7]  Victor H. Alcocer-Yamanaka,et al.  Graph Theory Based Algorithms for Water Distribution Network Sectorization Projects , 2008 .

[8]  Ni-Bin Chang,et al.  Comparisons between a rule-based expert system and optimization models for sensor deployment in a small drinking water network , 2011, Expert Syst. Appl..

[9]  Armando Di Nardo,et al.  Water Network Protection from Intentional Contamination by Sectorization , 2012, Water Resources Management.

[10]  Dan Kroll,et al.  Methods for evaluating water distribution network early warning systems , 2010 .

[11]  Velitchko G. Tzatchkov,et al.  Advection-Dispersion-Reaction Modeling in Water Distribution Networks , 2002 .

[12]  Armando Di Nardo,et al.  A DESIGN SUPPORT METHODOLOGY FOR DISTRICT METERING OF WATER SUPPLY NETWORKS , 2011 .

[13]  Avi Ostfeld,et al.  The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms , 2008 .

[14]  Katherine A. Klise,et al.  Event Detection from Water Quality Time Series , 2007 .

[15]  Chyr Pyng Liou,et al.  Modeling the Propagation of Waterborne Substances in Distribution Networks , 1987 .

[16]  Roy C. Haught,et al.  On–Line water quality parameters as indicators of distribution system contamination , 2007 .

[17]  M. Di Natale,et al.  Water network sectorization based on a genetic algorithm and minimum dissipated power paths , 2013 .