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Defining and engineering solutions for agroecological impacts of salinity and waterlogging in an irrigated river valley

dc.contributor.authorBurkhalter, J. Philip, author
dc.contributor.authorGates, Timothy K., advisor
dc.contributor.authorLabadie, John W., committee member
dc.contributor.authorFrasier, W. Marshall, committee member
dc.contributor.authorGarcia, Luis A., committee member
dc.date.accessioned2026-02-23T19:18:12Z
dc.date.issued2005
dc.description.abstractThrough extensive field data collection and finite-difference modeling of groundwater flow, solute transport, and mass balance in the unsaturated zone, salinity and waterlogging problems are investigated in a 50,600 ha study area within an irrigated reach of the Lower Arkansas River Valley in southeastern Colorado. The established data collection program is described and rich data sets, including water table depth, water table salinity, surface water salinity, and soil water salinity are presented for a three-year (1999 - 2001) study period. From these data and other collected or estimated aquifer and unsaturated zone data, models were constructed, calibrated, and tested. The development and application of these models are presented in a series of published articles that are included along with more detailed descriptions of the model components and calibration procedures. These presented components include the unsaturated zone mass balance approach, aquifer recharge estimation, use of geographical information systems (GIS) tools, and special procedures used in the Groundwater Modeling System (GMS version 3.1) interface software to create MODFLOW and MT3DMS models of the investigated alluvial aquifer. The calibrated models were used to investigate a wide range of regional alternatives to mitigate salinization and waterlogging problems. These alternatives incorporated various configurations of solution measures including recharge reduction through increased irrigation efficiency, canal seepage reduction, sub-surface drainage installation, and pumping volume increases. Results indicate that significant reductions in average regional water table elevation (as large as 1.93 m), soil water salinity (up to 950 mg/L), and crop yield increase over the irrigation season can be achieved. Potential for marked reduction in salt loading to the river and in net water consumption was also confirmed. The presented research demonstrates the progression and wide range of activities involved in the irrigation-stream-aquifer modeling process. These activities included field data collection, initial model development, model refinement from the steady-state to transient configuration, creation of an original unsaturated zone mass balance model, model calibration and testing, and model application to investigate proposed solution alternatives.
dc.format.mediumdoctoral dissertations
dc.identifier.urihttps://hdl.handle.net/10217/243416
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.subjectcivil engineering
dc.subjectagricultural engineering
dc.titleDefining and engineering solutions for agroecological impacts of salinity and waterlogging in an irrigated river valley
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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