Articles | Volume 8, issue 2
Drink. Water Eng. Sci., 8, 9–24, 2015
https://doi.org/10.5194/dwes-8-9-2015
Drink. Water Eng. Sci., 8, 9–24, 2015
https://doi.org/10.5194/dwes-8-9-2015

Research article 28 Aug 2015

Research article | 28 Aug 2015

Water Expert: a conceptualized framework for development of a rule-based decision support system for distribution system decontamination

J. L. Gutenson et al.

Related subject area

Tools: Microbial and chemical risk assessment
MUWS (Microbiology in Urban Water Systems) – an interdisciplinary approach to study microbial communities in urban water systems
P. Deines, R. Sekar, H. S. Jensen, S. Tait, J. B. Boxall, A. M. Osborn, and C. A. Biggs
Drink. Water Eng. Sci., 3, 91–99, https://doi.org/10.5194/dwes-3-91-2010,https://doi.org/10.5194/dwes-3-91-2010, 2010

Cited articles

Agency for Toxic Substances & Disease Registry (ATSDR): http://www.atsdr.cdc.gov/mrls/index.asp (last access: 30 March 2014), 2013.
Ahn, B. S., Cho, S. S., and Kim, C. Y.: The integrated methodology of rough set theory and artificial neural network for business failure prediction, Expert Syst. Appl., 18, 65–74, https://doi.org/10.1016/S0957-4174(99)00053-6, 2000.
Alva-Lizarraga, S. and Johnson, T. G.: A dynamic demand driven, supply constrained input output approach to modeling economic impacts of water disruption events, 2012 Conference Proceedings, Mid-Continent Regional Science Association, Ottawa, Canada, 6–8 June 2012, 159–177, 2012.
American Water Works Association (AWWA) and Economic and Engineering Services, Inc.: Permeation and leaching, US Environmental Protection Agency, Washington, DC, 22 pp., 2002.
Bahrammirzaee, A.: A comparative survey of artificial intelligence applications in finance: Artificial neural networks, expert system and hybrid intelligent systems, Neural Comput. Appl., 19, 1165–1195, https://doi.org/10.1007/s00521-010-0362-z, 2010.
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Short summary
Significant drinking water contamination events pose a serious threat to public and environmental health. This paper examines the development of Water Expert, a software tool for assisting decision makers in response and recovery following a contamination event. The decision making process undertaken during contamination events in evaluated. Results indicate that the decision making process is limited without technological intervention.