Technical Papers
Jan 22, 2014

Influence of Network Model Detail on Estimated Health Effects of Drinking Water Contamination Events

Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 1

Abstract

Network model detail can influence the accuracy of results from analyses of water distribution systems. Previous work has shown the limitations of skeletonized network models when considering water quality and hydraulic effects. Loss of model detail is potentially less important for aggregated effects such as the systemwide health effects associated with a contamination event, but has received limited attention. The influence of model detail on such effects is examined here by comparing results obtained for contamination events using three large network models and several skeletonized versions of the models. Loss of model detail decreases the accuracy of estimated aggregated adverse effects related to contamination events. It has the potential to have a large negative influence on the results of consequence assessments and the design of contamination warning systems. However, the adverse influence on analysis results can be minimized by restricting attention to high percentile effects (i.e., 95th percentile or higher).

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Acknowledgments

The U.S. Environmental Protection Agency’s (EPA’s) Office of Research and Development funded, managed, and participated in the research described here under an interagency agreement. The views expressed in this paper are those of the authors and do not necessarily reflect the views or policies of EPA. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. Work at Argonne National Laboratory was sponsored by the EPA under an interagency agreement through U.S. Department of Energy Contract DE-AC02-06CH11357.

Disclaimer

Because the information is confidential, the identity of the WDSs used in this paper or any information that could be used to identify them cannot be disclosed.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 141Issue 1January 2015

History

Received: Jul 25, 2013
Accepted: Jan 21, 2014
Published online: Jan 22, 2014
Discussion open until: Nov 23, 2014
Published in print: Jan 1, 2015

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Authors

Affiliations

Michael J. Davis [email protected]
Environmental Engineer, Argonne National Laboratory, Environmental Science Division, 9700 S. Cass Ave., Argonne, IL 60439 (corresponding author). E-mail: [email protected]
Robert Janke [email protected]
Research Scientist, National Homeland Security Research Center, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr. (MS NG-16), Cincinnati, OH 45268. E-mail: [email protected]

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