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Modeling of stream/aquifer interaction during alluvial well depletion

dc.contributor.authorFox, Garey A., author
dc.contributor.authorDurnford, Deanna, advisor
dc.contributor.authorSanford, William, advisor
dc.contributor.authorRamirez, Jorge, committee member
dc.contributor.authorGarcia, Luis, committee member
dc.date.accessioned2026-01-29T19:31:11Z
dc.date.issued2003
dc.description.abstractThe conjunctive utilization of surface water and groundwater has become increasingly important as the demand for water intensifies. Water rights decisions for groundwater supplies hydraulically interacting with adjacent surface water bodies require estimation of surface water depletion due to groundwater pumping. However, stream/aquifer exchange due to groundwater extraction of tributary water is commonly analyzed using analytical solutions that oversimplify physical conditions. More complex analytical solutions have recently been developed that include the effects of a streambed layer and stream partial penetration. Such solutions have also been suggested as a way to inversely estimate aquifer parameters and the streambed hydraulic conductivity from field aquifer tests. However, numerous limitations still exist in the application of these solutions. Research is needed to develop improved analytical solutions and evaluate the significance of the more complex solutions for water rights decisions and for streambed conductivity estimation. The objectives of this research are to develop analytical models of stream/aquifer interaction during alluvial well depletion, evaluate their accuracy in the prediction of aquifer drawdown and stream depletion, and determine their ability to inversely estimate streambed conductivity. This research expands the applicability of recently proposed analytical solutions by considering finite stream width, complex aquifer flow scenarios (i.e., unconfined flow, pumping well partial penetration, delayed drainage from the unsaturated zone, well-bore storage, and well-skin effects), and unsaturated stream/aquifer exchange. Analytical solutions are derived to account for each of the stream/aquifer scenarios. Differences between the prior analytical solutions, numerical models, and the solutions developed in this research are evaluated to determine conditions when specific stream/aquifer conditions become significant. The theory developed in this research is used to improve the simulation capabilities of a standard, numerical groundwater-flow model, MODFLOW, for simulating stream/aquifer exchange. A stream/aquifer analysis test is performed at the Tamarack State Wildlife Area in eastern Colorado to investigate the inverse estimation of the streambed conductivity using the analytical solutions developed in this research.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifier.urihttps://hdl.handle.net/10217/242954
dc.identifier.urihttps://doi.org/10.25675/3.025810
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjecthydrology
dc.subjectcivil engineering
dc.subjectenvironmental engineering
dc.subjecthydrologic sciences
dc.titleModeling of stream/aquifer interaction during alluvial well depletion
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineCivil Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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