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Basin-scale stream-aquifer modeling of the Lower Arkansas River, Colorado

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dc.contributor.authorTriana, Enrique, author
dc.contributor.authorLabadie, John W., author
dc.contributor.authorGates, Timothy K., author
dc.contributor.authorColorado State University, publisher
dc.date.accessioned2020-01-29T15:33:23Z
dc.date.available2020-01-29T15:33:23Z
dc.date.issued2004
dc.description24th annual AGU hydrology days was held at Colorado State University on March 10-12, 2004.
dc.descriptionIncludes bibliographical references.
dc.description.abstractA methodology is presented for modeling stream-aquifer interactions at the river basin scale that integrates an artificial neural network (ANN), a geographical information system (GIS), and the MODSIM generalized river basin network flow mode. The methodology allows development of dynamic, spatially dependent relationships between measurable aquifer stresses and river return flow; as well as providing a linkage of spatial system features and characteristics to the river basin network flow model. GIS provides the framework for managing and preprocessing the extensive spatial-temporal database required for the modeling components. Visual Basic™ (MS VB.NET) programs are used to process information and link data with the ANN and MODSIM. METLAB™ (MathWorks, Inc) is applied to training, validation and analysis of the ANN in estimating aquifer-stream relationships from a calibrated regional-scale finite difference groundwater model. Complex stream-aquifer interactions are embodied in the trained ANN, which is embedded in MODSIM for providing accurate return flow calculations in river basin management and water rights analysis. The methodology is applied to the Lower Arkansas River Basin in Colorado as a case study to demonstrate its potential for accurately representing stream-aquifer interactions and analyzing system characteristics that allow construction of robust and realistic river basin-scale management models. Future development of the tool will provide conservative constituent modeling of salinity as a foundation for assessing and evaluation strategies to support productive irrigated agriculture and to enhance the agroecosystem.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/200026
dc.identifier.urihttp://dx.doi.org/10.25675/10217/200026
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofHydrology Days
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.titleBasin-scale stream-aquifer modeling of the Lower Arkansas River, Colorado
dc.title.alternativeHydrology days 2004
dc.title.alternativeAGU hydrology days 2004
dc.typeText

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