Development of a Hydro-Salinity Simulation Model for Colorado’s Arkansas Valley
Publication: Journal of Irrigation and Drainage Engineering
Volume 134, Issue 6
Abstract
A model to calculate the quantity and quality of river flows by simulating hydro-chemical processes in soil and the spatial/temporal distribution of irrigation return flows is introduced. By simulating the hydro-chemical processes, the quantity and quality of the deep percolating water can be predicted. The spatial and temporal distribution of the deep percolating water is simulated by constructing a groundwater flow path and calculating the groundwater travel time using response functions. A probabilistic approach was developed to calculate the groundwater travel time taking into account the fact that some irrigated fields have subsurface drainage which shortens travel times. All related hydrological components are integrated into the computation of river flow quantity and quality including groundwater return flow, irrigation tail water, tributary inflow, river diversion, phreatophyte consumption, river channel losses, and river depletion due to pumping. An illustrative example is included to demonstrate the capabilities of the model. The results of this example show that river salinity is lower during the irrigation season and higher during the off season. Due to salts carried by return flows, downstream reaches have higher salinity levels than upstream reaches.
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References
Bear, J. (1972). Dynamics of fluids in porous media, Elsevier, New York.
Charbeneau, R. J. (2000). Groundwater hydraulics and pollutant transport, Prentice-Hall, Upper Saddle River, N.J.
Chiew, F. H. S., McMahon, T. A., and O’Neil, I. C. (1992). “Estimating groundwater recharge using an integrated surface and groundwater modeling approach.” J. Hydrol., 131(1–4), 151–186.
Chow, V. T., Maidment, D. R., and Mays, L. W. (1988). Applied Hydrology. Int. Ed., McGraw-Hill, New York.
Dai, T., and Labadie, J. W. (2001). “River basin network model for integrated water quantity/quality management.” J. Water Resour. Plann. Manage., 127(5), 295–305.
Filep, G. (1999). Soil chemistry: Processes and constituents, Akademiai Kiado, Budapest, Hungary.
Freeze, R. A., and Cherry, J. A. (1979). Groundwater, Prentice-Hall, Englewood Cliffs, N.J.
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. Water Resour. Plann. Manage., 128(2), 87–99.
Ghassemi, F., Jakeman, A. J., and Nix, H. A. (1995). Salinization of land and water resources: Human causes, extent, management and case studies, University of New Wales Press Ltd., Sydney, Australia.
Glover, R. E., and Balmer, C. G. (1954). “River depletion resulting from pumping a well near a river.” Trans., Am. Geophys. Union, 35(3), 468–470.
Jenkins, C. T. (1968). “Techniques for computing rate and volume of stream depletion by wells.” Ground Water, 6(2), 37–44.
Konikow, L. F., and Bredehoeft, J. D. (1974). “Modeling flow and chemical quality changes in an irrigated stream-aquifer system.” Water Resour. Res., 10(3), 546–562.
National Research Council (NRC). (1996). A New Era for Irrigation, Committee on the Future of Irrigation in the Face of Competing Demands, Water Science and Technology Board, National Academy Press, Washington, D.C.
Oster, J. D., and Rhoades, J. D. (1975). “Calculated drainage water compositions and salt burdens resulting from irrigation with river waters in the western United States.” J. Environ. Qual., 4(1), 73–79.
Person, M., and Konikow, L. F. (1986). “Recalibration and predictive reliability of a solute-transport model of an irrigated stream-aquifer system.” J. Hydrol., 87(1–2), 145–165.
Rhoades, J. D., Lesch, S. M., LeMert, R. D., and Alves, W. J. (1997). “Assessing irrigation/drainage/salinity management using spatially referenced salinity measurements.” Agric. Water Manage., 35(1–2), 147–165.
Richardson, S. B., and Narayan, K. A. (1995). “The effectiveness of management options for dryland salinity control at Wanilla, South Australia.” Agric. Water Manage., 29(1), 63–83.
Simunek, J., and Suarez, D. L. (1993). “UNSATCHEM-2D code for simulating two-dimensional variably saturated water flow, heat transport, carbon dioxide production and transport, and multicomponent solute transport with major ion equilibrium and kinetic chemistry.” USDA-ARS-128, Version 1.1, U.S. Salinity Laboratory, Riverside, Calif.
Wagenet, R. J., and Hutson, J. L. (1987). LEACHM: Leaching estimation and chemistry model, Version 2, Water Resour. Inst. Continuum Center Environ. Res., Cornell Univ., Ithaca, N.Y.
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© 2008 ASCE.
History
Received: Aug 4, 2006
Accepted: Mar 16, 2007
Published online: Dec 1, 2008
Published in print: Dec 2008
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