Title:
Multiobjective optimization of contaminant sensor locations in drinking water distribution systems using nodal importance concepts

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dc.contributor.advisor Aral, Mustafa M.
dc.contributor.author Rogers, Scott W. en_US
dc.contributor.committeeMember Guan, Jiabao
dc.contributor.committeeMember Jang, Wonyong
dc.contributor.committeeMember Kim, Seong-Hee
dc.contributor.committeeMember Uzer, Turgay
dc.contributor.department Civil and Environmental Engineering en_US
dc.date.accessioned 2009-08-26T17:30:27Z
dc.date.available 2009-08-26T17:30:27Z
dc.date.issued 2009-05-18 en_US
dc.description.abstract The monitoring of water distribution systems (WDSs) has been a very popular subject of study since the terrorist attacks of September 11, 2001, and the subsequent passing of laws motivating the study of WDS monitoring to provide system protection in the event of a terrorist attack. Inhibiting many WDS monitoring studies to date is the large amount of computational expense required to conduct meaningful studies, especially for larger WDSs that are of most interest. In this study, methods were developed to determine the "importance" of WDS nodes in being considered as locations for sensors used to monitor a WDS in order to make sensor placement optimization more efficient. Single-objective protection goals considered individually in optimization were maximizing detection likelihood, minimizing expected detection time, and minimizing expected contaminated demand volume. A multiobjective protection goal accounting for all three single-objective goals concurrently was also considered; the formulation of the multiobjective optimization problem was intended to minimize tradeoffs among individual protection goals. Sensor placement optimization was carried out with the Iterative Subset Search Method (ISSM) employing genetic algorithms developed in this work; ISSM used nodal importance rankings to search a small subset of nodes for the optimal solution initially then broadened the search incrementally until convergence to a best solution occurred. To demonstrate the effectiveness of the methods developed, sensor placement was performed according to each of the protection goals for three study systems--one small and two large--and a variety of attack conditions. Desirable sensor node solutions that provided for significant protection were found in all cases, and in many cases sensor placement results were comparable to or better than those of other works. Nodal importance narrowed the search for optimal sensor nodes to a relatively small proportion of WDS nodes in most cases. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/29607
dc.publisher Georgia Institute of Technology en_US
dc.subject Water distribution systems en_US
dc.subject Monitoring en_US
dc.subject Nodal importance en_US
dc.subject.lcsh Drinking water treatment units
dc.subject.lcsh Chemical detectors
dc.subject.lcsh Mathematical optimization
dc.title Multiobjective optimization of contaminant sensor locations in drinking water distribution systems using nodal importance concepts en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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