Abstract
The governing requirements for security for water supply systems in Canada are provincially mandated, not federally regulated. The national strategy works on the basis of collaborative efforts from federal, provincial, territorial, and critical infrastructure sectors to provide the infrastructure resiliency.
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- CWS:
-
Contaminant warning system
- e-NSGA-II:
-
Epsilon-nondominated sorting genetic algorithm-II
- EPANET:
-
A software program developed by the United States Environmental Protection Agency designed to model the hydraulic behavior and transport on constituents in water
- F1 :
-
Time delay
- F2:
-
Sensor detection redundancy
- NSGA-II:
-
Nondominated sorting genetic algorithm-II
- PF:
-
Pattern factor
- PINs:
-
Possible intrusion nodes
- SHARCNET:
-
Shared hierarchical academic research computing network
- SQL:
-
Structural query language
- TOC:
-
Total organic carbon
- WDS:
-
Water distribution systems
References
Austin RG, Choi CY, Preis A, Ostfeld A, Lansey K (2009) Multi-objective sensor placements with improved water quality models in a network with multiple junctions. World Environmental and Water Resources Congress, Great Rivers
Deb K (2000) An efficient constraint handling method for genetic algorithms. Comput Methods Appl Mech Eng 186:311–338
Deb K, Pratao A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197
Kollat J, Reed P (2006) Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design. Adv Water Resour 29(6):792–807
Murray S, Ghazali M, McBean E (2011) Real-time water quality monitoring: assessment of multi-sensor data using Bayesian belief networks. J Water Resour Plann Manage 138(1):63–70
Ostfeld A et al. (2008) The battle of water sensor networks (BWSN): a design challenge for engineers and algorithms. J Water Resour Plann Manage 134(6):556–568
Preis A, Whittle A, Ostfeld A (2009) Multi-objective sensor network model for integrated monitoring of hydraulic and water quality parameters. World City Water Forum, Incheon, Korea, 18–21 Aug 2009
Preis A, Ostfeld A (2008) Multiobjective contaminant sensor network design for water distribution systems. J Water Resour Plann Manage 134(4):366–377
Reed P, Kollat JB, Devireddy VK (2007) Using interactive archives in evolutionary multiobjective optimization: a case study for long-term groundwater monitoring design. Environ Model Softw 22(5):683–692
Shen H, McBean E (2011a) False negative/positive issues in contaminant source identification for water distribution systems. J Water Resour Plann Manage 137(3):243–248
Shen H, McBean E (2011b) Pareto optimality for sensor placements in a water distribution system. J Water Resour Plann Manage 137(3):243–248
Weickgenannt M, Kapelan Z, Blokker M, Savic D (2010) Risk-based sensor placement for contaminant detection in water distribution systems. J Water Resour Plann Manage 136(6):629–636
Acknowledgments
The financial support provided by NSERC Strategic Grand STPGP 336126-06 and the Canada Research Chair Program are gratefully acknowledged.
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© 2014 Springer International Publishing Switzerland
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Shen, H., McBean, E., Wang, Y. (2014). Sensor Placement Under Nodal Demand Uncertainty for Water Distribution Systems. In: Clark, R., Hakim, S. (eds) Securing Water and Wastewater Systems. Protecting Critical Infrastructure, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-01092-2_5
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DOI: https://doi.org/10.1007/978-3-319-01092-2_5
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