TECHNICAL PAPERS
Mar 27, 2009

River GeoDSS for Agroenvironmental Enhancement of Colorado’s Lower Arkansas River Basin. I: Model Development and Calibration

Publication: Journal of Water Resources Planning and Management
Volume 136, Issue 2

Abstract

The Lower Arkansas River (LAR) Basin in Colorado, like many intensively irrigated river basins in the Western United States, faces a variety of problems associated with inefficient irrigation, seepage from earthen canals, and inadequate drainage facilities. Upward flows from high water tables have salinized and waterlogged agricultural soils of the Valley, contributing to reduced crop yields and nonbeneficial water consumption on adjacent uncultivated lands. River water quality has also suffered since intensive irrigation of alluvial soils results in evaporative concentration and the accelerated dissolution of inherent salts and other mineral pollutants into the underlying aquifer, appearing as return flows that threaten the ecological health of the river. A geographic information system-based river basin decision-support system (River GeoDSS) has been developed and applied to the LAR Basin for assessing basinwide strategies for improving agricultural productivity, salvaging water from nonbeneficial consumptive use, and reducing solute concentrations while maintaining compliance with decreed water rights and the Arkansas River Compact between Colorado and Kansas. Development and calibration of River GeoDSS, based on extensive field data collection programs in the LAR Basin, is described herein, with a companion paper detailing its application to evaluation of a wide range of agroenvironmentally focused water management strategies.

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Acknowledgments

The writers gratefully acknowledge the financial support and cooperation provided by the Southeastern Colorado Water Conservancy District, the Lower Arkansas Valley Water Conservancy District, the Colorado Agricultural Experiment Station, the Colorado Water Institute, the USDA, the U.S. Bureau of Reclamation, and the USGS. Also, the valuable cooperative assistance of more than 120 Arkansas River Valley landowners, the USDA Natural Resources Conservation Service, the Division 2 Office of the Colorado Division of Water Resources, the Pueblo Subdistrict Office of the USGS, and the USDA Farm Services Agency are highly appreciated. The views and conclusions contained in this document are those of the writers and should not be interpreted as representing the opinions or policies of the U.S. Government. Mention of trade names or commercial products does not constitute their endorsement by the U.S. government.

References

Abbott, P. O. (1985). Description of water-systems operations in the Arkansas River basin, Colorado, Open-File Services Section, Western Distribution Branch, USGS, Lakewood, Colo.
Bertsekas, D. P., and Tseng, P. (1994). “RELAX-IV: A faster version of the RELAX code for solving minimum cost flow problems.” Completion Rep. Prepared for NSF Grant CCR-9103804, Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Mass.
Burkhalter, J. P., and Gates, T. K. (2005). “Agroecological impacts from salinization and waterlogging in an irrigated river valley.” J. Irrig. Drain. Eng., 131(2), 197–209.
Burkhalter, J. P., and Gates, T. K. (2006). “Evaluating regional solutions to salinization and waterlogging in an irrigated river valley.” J. Irrig. Drain. Eng., 132(1), 21–30.
Campbell, S. G., Hanna, R. B., Flug, M., and Scott, J. F. (2001). “Modeling Klamath River system operations for quantity and quality.” J. Water Resour. Plann. Manage., 127(5), 284–294.
Carrera-Hernandez, J. J., and Gaskin, S. J. (2006). “The groundwater modeling tool for GRASS (GMTG): Open source groundwater flow modeling.” Comput. Geosci., 32(3), 339–351.
de Azevedo, L. G. T., Gates, T. K., Fontane, D. G., Labadie, J. W., and Porto, R. L. (2000). “Integration of water quantity and quality in strategic river basin planning.” J. Water Resour. Plann. Manage., 126(2), 85–97.
DHI Water & Environment. (2006). “MIKE BASIN: A versatile decision support tool for integrated water resources management and planning.” ⟨http://www.dhisoftware.com/mikebasin/index.htm⟩ (Jan. 23, 2006).
Fredericks, J. W., Labadie, J. W., and Altenhofen, J. M. (1998). “Decision support system for conjunctive stream-aquifer management.” J. Water Resour. Plann. Manage., 124(2), 69–78.
Gates, T. K., Burkhalter, J. P., Labadie, J. W., Valliant, J. C., and Broner, I. (2002). “Monitoring and modeling flow and salt transport in a salinity-threatened irrigated valley.” J. Irrig. Drain. Eng., 128(2), 87–99.
Gates, T. K., Garcia, L., and Labadie, J. W. (2006). Toward optimal water management in Colorado’s Lower Arkansas River Valley: Monitoring and modeling to enhance agriculture and environment, Colorado Water Resources Research Institute and Colorado Agricultural Experiment Station, Fort Collins, Colo.
Govindaraju, R. S. (2000). “Artificial neural networks in hydrology. II: Hydrologic applications.” J. Hydrol. Eng., 5(2), 124–137.
Hallberg, N., Niemann, J. D., and Gates, T. K. (2008). “Analyzing the effects of high water tables on evapotranspiration from uncultivated land in Colorado’s lower Arkansas River Valley.” Hydrology days 2008, Colorado State Univ., Fort Collins, Colo.
Hameed, T., and O’Neill, R. (2005). “River management decision modelling in IQQM.” Proc., MODSIM 2005 Int. Congress on Modelling and Simulation, A. Zerger and R. Argent, eds., Modelling and Simulation Society of Australia and New Zealand, Canberra, Australia, 170–176.
Harbaugh, A., Banta, M., and McDonald, M. (2000). Modflow-2000, the U.S. Geological Survey modular ground-water model: User’s guide to modularization concepts and the ground-water flow process, USGS, Reston, Va.
Haykin, S. (1999). Neural networks: A comprehensive foundation, Prentice-Hall, Upper Saddle River, N.J.
Jamieson, D. G., and Fedra, K. (1996). “The WaterWare decision-support system for river basin planning. 1: Conceptual design.” J. Hydrol., 177(3–4), 163–175.
Labadie, J. W. (2006). “Chapter 23: MODSIM: River basin management decision support system.” Watershed models, V. Singh and D. Frevert, eds., CRC, Boca Raton, Fla.
Labadie, J. W., and Larson, R. K. (2007). MODSIM 8.1 river basin management decision support system: User’s manual and documentation, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, Colo.
Marques, M., et al. (2006). “Economically driven simulation of regional water systems: Friant-Kern, California.” J. Water Resour. Plann. Manage., 132(6), 468–479.
Maskey, S., Jonoski, A., and Solomatine, D. P. (2000). Groundwater model approximation with artificial neural network for selecting optimum pumping strategy for plume removal, International Institute for Infrastructural, Hydraulic and Environmental Engineering, DA Delft, The Netherlands.
Mueller Price, J., and Gates, T. K. (2008). “Assessing uncertainty in mass-balance calculation of river non-point source loads.” J. Environ. Eng., 134(4), 247–258.
Parkin, G., Birkinshaw, S., Younger, P., Rao, Z., and Kirk, S. (2007). “A numerical modelling and neural network approach to estimate the impact of groundwater abstractions on river flows.” J. Hydrol., 339(1–2), 15–28.
Rogers, L. L., and Dowla, F. U. (1994). “Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling.” Water Resour. Res., 30(2), 457–481.
Suen, J. -P., and Eheart, J. W. (2003). “Evaluation of neural networks for modeling nitrate concentrations in rivers.” J. Water Resour. Plann. Manage., 129(6), 505–510.
Susfalk, R., et al. (2008). Evaluation of linear anionic polyacrylamide (LA-PAM) application to water delivery canals for seepage reduction, Colorado State Univ., Fort Collins, Colo.
Triana, E. (2008). “A spatial decision support system for assessing improved management of water quantity and quality in basin scale stream-aquifer systems.” Ph.D dissertation, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, Colo.
Triana, E., and Labadie, J. W. (2007). “Geo-MODSIM: Spatial decision support system for river basin management.” Proc., 2007 ESRI Int. User Conf., Environmental Systems Research Institute, Redlands, Calif.
Triana, E., Labadie, J. W., and Gates, T. K. (2010). “River GeoDSS for agroenvironmental enhancement of Colorado’s lower Arkansas River basin. II: Evaluation of strategies.” J. Water Resour. Plann. Manage., 136(2), 177–189.
Triana, E., Labadie, J. W., and Gates, T. K. (2003). “Conjunctive stream-aquifer modeling using artificial neural networks.” Proc., World Water and Environmental Resources Congress, ASCE, Reston, Va.
Tsou, M. -S., and Whittemore, D. O. (2001). “User interface for ground-water modeling: ArcView extension.” J. Hydrol. Eng., 6(3), 251–257.
U.S. Salinity Laboratory. (2005). “Salinity in agriculture.” ⟨http://www.ars.usda.gov/Aboutus/docs.htm?docid=10201⟩ (June 30, 2008).
WL|Delft Hydraulics. (2004). RIBASIM version 6.32: Technical reference manual, WL|Delft Hydraulics, MH Delft, The Netherlands.
The World Bank. (2005). “Module 9: Investments in waterlogging and salinity control.” Agriculture investment sourcebook, Dept. of Agriculture and Rural Development, Washington, D.C.
Yates, D., Purkey, D., Sieber, J., Huber-Lee, A., and Galbraith, H. (2005). “WEAP21—A demand-priority- and preference-driven water planning model: Part1: Model characteristics.” Water Int., 30(4), 487–500.
Zagona, E., Magee, T., Goranflo, H., Fulp, T., Frevert, D., and Cotter, J. (2005). “Chapter 21: RiverWare.” Watershed models, V. Singh and D. Frevert, eds., CRC, Boca Raton, Fla.
Zheng, C., and Wang, P. (1999). “A modular three-dimensional multispecies transport model for simulation of advection, dispersion and chemical reactions of contaminants in ground water systems: Documentation and user’s guide.” Contract Rep. No. SERDP-99-1, U.S. Waterway Experiment Station, U.S. Army Corps of Engineers, Vicksburg, Miss.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 136Issue 2March 2010
Pages: 177 - 189

History

Received: Oct 2, 2008
Accepted: Feb 17, 2009
Published online: Mar 27, 2009
Published in print: Mar 2010

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Authors

Affiliations

Enrique Triana, M.ASCE [email protected]
Water Resources Engineer, AECOM USA, Inc., 215 Union Blvd. Suite 500, Lakewood, CO 80228. E-mail: [email protected]
John W. Labadie, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523-1372 (corresponding author). E-mail: [email protected]
Timothy K. Gates, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523-1372. E-mail: [email protected]

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