Chapter
Apr 26, 2012

Sensor Network Design and Performance in Water Systems Dominated by Multi-Story Buildings

Publication: World Environmental and Water Resources Congress 2009: Great Rivers

Abstract

This paper reports on the modeling of CWS sensor network designs for two real water systems. The first system is small and simple and the model has been artificially modified to include multi-story buildings. The second water system is actually dominated by multi-story buildings but its base model does not contain any micro-level detail. Geographical information system (GIS) tools and site-specific information are used to construct and arrange reasonable representations of the high rise buildings into the model. For each water system, EPANET simulations are performed along with public health impacts assessments and sensor network design optimizations. Evaluations are made between the skeletonized models (base models without post-service connection detail) and the multistory building-enhanced models to assess the performance of sensor networks to reduce public health impacts.

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Go to World Environmental and Water Resources Congress 2009
World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 14

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Published online: Apr 26, 2012

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Robert Janke
National Homeland Security Research Center United States Environmental Protection Agency 26. W. Martin Luther King Drive (MS 163), Cincinnati, OH 45268
Terra Baranowski Haxton
National Homeland Security Research Center United States Environmental Protection Agency 26. W. Martin Luther King Drive (MS 163), Cincinnati, OH 45268
Walter Grayman
Walter Grayman Consulting, 321 Ritchie Avenue, Cincinnati Ohio 45215-2038.
Rakesh Bahadur
Science Applications International Corporation, 1710 SAIC Dr. McLean, VA 22102
Regan Murray
National Homeland Security Research Center United States Environmental Protection Agency 26. W. Martin Luther King Drive (MS 163), Cincinnati, OH 45268
William Samuels
Science Applications International Corporation, 1710 SAIC Dr. McLean, VA 22102
Tom Taxon
Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439-4832

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