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dc.contributor.authorMason-Deese, William French
dc.date.accessioned2014-06-26T04:30:24Z
dc.date.available2014-06-26T04:30:24Z
dc.date.issued2013-12
dc.identifier.othermason-deese_william_f_201312_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/mason-deese_william_f_201312_ms
dc.identifier.urihttp://hdl.handle.net/10724/29917
dc.description.abstractThis thesis presents a comprehensive model for predicting storm runoff and contributing areas based on precipitation and topography. Independent storms are defined using a procedure by Restrepo-Posada and Eagleson (1982) and stormflow is defined with geochemistry. Recursive digital filters are compared and calibrated to geochemical hydrograph separation on Panola Mountain Research Watershed enabling the digital filters to be used to define stormflow on Coweeta Watershed 18. High resolution topography of the watersheds, derived from LiDAR, is used to extract dense drainage networks. The networks predict surface runoff flow paths and the areas of a watershed that produce runoff. The mean lengths of streams of the networks are used to parameterize the geomorphologic instantaneous unit hydrograph that is used to model storm hydrographs. Finally, modeled storm hydrographs are compared to observed and digitally filtered stormflow. Comparison of observed and modeled storms determines if this model is suitable for ungauged basins.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectBaseflow separation, Digital filters
dc.subjectStorm runoff
dc.subjectStream networks
dc.subjectGeomorphologic instantaneous unit hydrograph
dc.titleModeling stormflow in ungauged basins
dc.title.alternativeusing digital filters, LiDAR, and the geomorphological instantaneous unit hydrograph
dc.typeThesis
dc.description.degreeMS
dc.description.departmentGeology
dc.description.majorGeology
dc.description.advisorJohn F. Dowd
dc.description.committeeJohn F. Dowd
dc.description.committeeTodd C. Rasmussen
dc.description.committeeThomas Jordan


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