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dc.contributor.advisorMaddock III, Thomasen
dc.contributor.authorDragoo, Carolyn Ann
dc.creatorDragoo, Carolyn Annen
dc.date.accessioned2018-02-28T18:58:49Z
dc.date.available2018-02-28T18:58:49Z
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/10150/626910
dc.description.abstractGeographic Information Systems (GIS) is a useful tool in integrating surface and groundwater models for a variety of applications. Typically, a modeler will run either a surface or groundwater model to analyze a study area, but not both. At the South Fork Kern River, which contains California's longest continuous riparian system, many endangered species rely on a delicate balance between surface and groundwater. The Willow Flycatcher, for example, is an endangered bird species that requires pools of surface water and specific cottonwood canopy conditions for its survival. The South Fork Kem surface water model was developed using the Hydrologic Engineering Center (HEC) models HEC-HMS and HEC-RAS. Analysis of these models will result in a GIS coverage displaying the floodplain extent and surface water depths for a given scenario. The groundwater model was run using MODFLOW and the new Riparian Evapotranspiration Package (RIP-ET) by Maddock and Baird, 2002. This new package provides a better estimate of ET, and therefore more accurate inputs to a groundwater model than the traditional ET package. A pre- and post-processor (RIPGIS) was written as a custom application within Arc View GIS to guide modelers through the analysis of inputs and outputs to RIP-ET. The surface and groundwater models were then integrated through GIS to help identify areas of stressed riparian habitats. This model integration can help assess not only the current state of riparian health, but also future development impacts.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.titleA GIS approach to integrating the results of surface and groundwater models: application to south fork of the Kern Riveren_US
dc.typetexten
dc.typeThesis-Reproduction (electronic)en
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelmastersen
dc.contributor.committeememberMaddock III, Thomasen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineHydrology and Water Resourcesen
thesis.degree.nameM.S.en
dc.description.noteDigitized from paper copies provided by the Department of Hydrology & Atmospheric Sciences.en
refterms.dateFOA2018-05-18T02:58:03Z
html.description.abstractGeographic Information Systems (GIS) is a useful tool in integrating surface and groundwater models for a variety of applications. Typically, a modeler will run either a surface or groundwater model to analyze a study area, but not both. At the South Fork Kern River, which contains California's longest continuous riparian system, many endangered species rely on a delicate balance between surface and groundwater. The Willow Flycatcher, for example, is an endangered bird species that requires pools of surface water and specific cottonwood canopy conditions for its survival. The South Fork Kem surface water model was developed using the Hydrologic Engineering Center (HEC) models HEC-HMS and HEC-RAS. Analysis of these models will result in a GIS coverage displaying the floodplain extent and surface water depths for a given scenario. The groundwater model was run using MODFLOW and the new Riparian Evapotranspiration Package (RIP-ET) by Maddock and Baird, 2002. This new package provides a better estimate of ET, and therefore more accurate inputs to a groundwater model than the traditional ET package. A pre- and post-processor (RIPGIS) was written as a custom application within Arc View GIS to guide modelers through the analysis of inputs and outputs to RIP-ET. The surface and groundwater models were then integrated through GIS to help identify areas of stressed riparian habitats. This model integration can help assess not only the current state of riparian health, but also future development impacts.


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