Stage-monitoring network optimization using GIS

dc.contributor.advisorMaidment, David R.en
dc.creatorMartínez Martínez, Sergio Ignacioen
dc.date.accessioned2008-08-28T23:06:36Zen
dc.date.available2008-08-28T23:06:36Zen
dc.date.issued2006en
dc.descriptiontexten
dc.description.abstractThe South Florida Water Management District (SFWMD) has a large and expanding stage-monitoring network in need of optimization. The basic optimization problem is to keep in operation the least number of stage-monitoring stations (sites where the surface water elevation is constantly measured) in the best possible locations without having a serious loss of information. Two different methodologies, one for lakes, where water levels tend to be smooth and planar, and one for streams, where water levels can have significant changes produced by the varying hydraulic properties along the courses, are needed for optimizing the networks. Several optimization methods were tested including simulated annealing, genetic algorithm and tabu search. Tabu search was used as the definitive optimization method for both lakes and streams. Both methodologies also need a spatial interpolation method because both need to estimate water elevations in specific points. The methodology for lakes uses inverse square viii distance weighting as the spatial interpolation method. The methodology for streams requires the use of HEC-RAS software developed by the US Army Corps of Engineers as the spatial interpolation method. The error of estimation of surface water elevations is performed via the root mean square error in both methodologies. Several cases located in lakes and streams in the Lake Kissimmee River Basin of the SFWMD are used to develop and test the methodologies. Additionally to the definitive methodology for stations in streams, two different but closely related earlier methodologies are developed, one for steady flow and the other for unsteady flow. Daily data are considered in the methodologies for stations in lakes and stations in streams with steady flow. In the case of stations with unsteady flow, it was determined that the data resolution should be at least one hour and flow and stage values should be instantaneous. Good results are obtained for the cases of stations in lakes and stations in streams with steady flow. For the case of stations in streams with unsteady flow, results are inconclusive. In addition to the optimization methodologies, a set of stage-network optimization guidelines are proposed.
dc.description.departmentCivil, Architectural, and Environmental Engineeringen
dc.format.mediumelectronicen
dc.identifierb65464229en
dc.identifier.oclc156407978en
dc.identifier.urihttp://hdl.handle.net/2152/2749en
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshWater levels -- Florida -- Kissimmee River Watershed -- Measurementen
dc.subject.lcshStream measurements -- Florida -- Kissimmee River Watersheden
dc.subject.lcshStreamflow -- Florida -- Kissimmee River Watersheden
dc.titleStage-monitoring network optimization using GISen
dc.type.genreThesisen
thesis.degree.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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