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Browsing by Author "Triana, Enrique, author"

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    A spatial decision support system for basin scale assessment of improved management of water quantity and quality in stream-aquifer systems
    (Colorado State University. Libraries, 2008) Triana, Enrique, author; Labadie, John W., advisor; Gates, Timothy K., advisor
    Challenges in river basin management have intensified over the years, with expanding competition among water demands and emerging environmental concerns, increasing the complexity of the decision making framework. A State-of-the-art spatial-decision support system (River GeoDSS) is developed herein to provide assistance in evaluating management alternatives towards optimal utilization of water resources, providing a comprehensive treatment of water quantity and quality objectives based on conjunctive surface and groundwater modeling within the complex administrative and legal framework of river basin management. The River GeoDSS provides sophisticated tools that allow accurate system simulations and evaluation of strategies while minimizing the technological burden on the user. A unique characteristic of the River GeoDSS is the integration of models, tools, user interfaces and modules, all seamlessly incorporated in a geographic information system (GIS) environment that encourages the user to focus on interpreting and understanding system behavior to better design remediation strategies and solutions. The River GeoDSS incorporates Geo-MODSIM, a fully functional implementation of MODSIM within the ArcMap interface (ESRI, Inc.), and Geo-MODFLOW, a new MODFLOW-MT3DMS results analysis tool in the ArcMap interface. The modeling system is complemented with a new artificial neural networks (ANN) module for natural and irrigation return flow quantity and quality evaluation and salt transport through reservoirs, as well as with a new water quality module (WQM) for conservative salt transport modeling of conjunctive use of surface water and groundwater resources in the river basin network. In this research, innovative methodologies are developed for applying ANNs in efficiently coupling surface and groundwater models for basin-scale modeling of stream-aquifer interactions. The core River GeoDSS is customized to provide comprehensive analysis of alternative solutions to achieving agricultural, environmental, and water savings goals in the Lower Arkansas River Basin in Colorado while assuring physical, legal and administrative compliance. The River GeoDSS applied to the Arkansas River Valley allowed comparing benefits and improvements of management strategies, illustrated their potential to reduce waterlogging and soil salinity, salt load to the river, and non-beneficial evapotranspiration in a strategic planning environment.
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    ItemOpen Access
    Basin-scale stream-aquifer modeling of the Lower Arkansas River, Colorado
    (Colorado State University. Libraries, 2004) Triana, Enrique, author; Labadie, John W., author; Gates, Timothy K., author; Colorado State University, publisher
    A 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.