Evaluation of model complexity and input uncertainty of field-scale water flow and salt transport

Vadose Zone Journal

Volumn 5, Issue 3, 2006, Pages 951-962

  Schoups, G ^a,b   Hopmans, J W ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEXITY; ERROR ANALYSIS; HYDRAULIC PROPERTY; INFILTRATION; NUMERICAL MODEL; SALT; SPATIOTEMPORAL ANALYSIS; TRANSPIRATION; TRANSPORT PROCESS; UNCERTAINTY ANALYSIS; VADOSE ZONE; WATER FLOW;

EID: 34547913022     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2005.0130     Document Type: Article

References (28)

1. Boegh, E., M. Thorsen, M.B. Butts, S. Hansen, J.S. Christiansen, P. Abrahamsen, C.B. Hasager, N.O. Jensen, P. van der Keur, J.C. Refsgaard, K. Schelde, H. Soegaard, and A. Thomsen. 2004. Incorporating remote sensing data in physically based distributed agro-hydrological modeling. J. Hydrol. 287:279-299.
2. Bresler, E., and G. Dagan. 1983. Unsaturated flow in spatially variable fields. 3. Solute transport and their application to two fields. Water Resour. Res. 19:429-435.
3. Chen, Z.Q., R.S. Govindaraju, and M.L. Kavvas. 1994. Spatial averaging of unsaturated flow equations under infiltration conditions over areally heterogeneous fields. 1. Development of models. Water Resour. Res. 30:523-533.
4. Dagan, G., and E. Bresler. 1988. Variability of yield of an irrigated crop and its causes. 3. Numerical simulation and field results.Water Resour. Res. 24:395-401.
5. Destouni, G., and V. Cvetkovic. 1991. Field-scale mass arrival of sorptive solute into the groundwater.Water Resour. Res. 27:1315-1325.
6. de Wit, M.J.M., and E.J. Pebesma. 2001. Nutrient fluxes at the river basin scale. II: The balance between data availability and model complexity. Hydrol. Processes 15:761-775.
7. Foussereau, X., W.D. Graham, G.A. Akpoji, G. Destouni, and P.S.C. Rao. 2000. Stochastic analysis of transport in unsaturated heterogeneous soils under transient flow regimes. Water Resour. Res. 36:911-921.
8. Grayson, R., and G. Blöschl. 2000. Spatial patterns in catchment hydrology: Observations and modeling. Cambridge Univ. Press, New York.
9. Hopmans, J.W. 1989. Stochastic description of field-measured infiltration data. Trans. ASAE 32:1987-1993.
10. Hopmans, J.W., D.R. Nielsen, and K.L. Bristow. 2002. How useful are small-scale soil hydraulic property measurements for large-scale vadose zone modeling. In D. Smiles et al (ed.) Heat and mass transfer in the natural environment, the Philip Volume. Geophysical Monogr. 129. American Geophysical Union, Washington, DC.
11. Hupet, F., J.C. van Dam, and M. Vanclooster. 2004. Impact of with in field variability in soil hydraulic properties on transpiration fluxes and crop yields: A numerical study. Available at www. vadosezonejournal.org. Vadose Zone J. 3:1367-1379.
12. Kavvas, M.L., Z.Q. Chen, R.S. Govindaraju, D.E. Rolston, T. Koos, A. Karakas, D. Or, S. Jones, and J. Biggar. 1996. Probability distribution of solute travel time for convective transport in field-scale soils under unsteady and nonuniform flows.Water Resour. Res. 32:875-889.
13. Lee, J., and F.X.M. Casey. 2005. Development and evaluation of a simplified mechanistic-stochastic method for field-scale solute transport prediction. Soil Sci. 170:225-234.
14. Letey, J., H.J. Vaux, and E. Feinerman. 1984. Optimum crop water application as affected by uniformity of water infiltration. Agron. J. 76:435-441.
15. Miller, E.E., and R.D. Miller. 1956. Physical theory for capillary flow phenomena. J. Appl. Phys. 27:324-332.
16. Perrin, C., C. Michel, and V. Andreassian. 2001. Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. J. Hydrol. 242:275-301.
17. Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling. 1990. Numerical recipes. Cambridge Univ. Press, New York.
18. Raats, P.A.C. 1974. Steady flows of water and salt in uniform soil profiles with plant roots. Soil Sci. Soc. Am. Proc. 38:717-722.
19. Russo, D. 1991. Stochastic analysis of simulated vadose zone solute transport in a vertical cross section of heterogeneous soil during nonsteady water flow. Water Resour. Res. 27:267-283.
20. Schoups, G., and J.W. Hopmans. 2002. Analytical model for vadose zone solute transport with root water and solute uptake. Available at www.vadosezonejournal.org. Vadose Zone J. 1:158-171.
21. Schoups, G., J.W. Hopmans, and K.K. Tanji. 2006. Evaluation of model complexity and space-time resolution on the prediction of longterm soil salinity dynamics. Hydrol. Processes (in press).
22. Šimůnek, J., M. Šejna, and M.Th. van Genuchten. 1998. The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably-saturated media. Version 2.0. IGWMC-TPS-70. International Groundwater Modeling Center, Golden, CO.
23. Šimůnek, J., N.J. Jarvis, M.Th. van Genuchten, and A. Gärdenäs. 2003. Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone. J. Hydrol. 272:14-35.
24. Toride, N., and F.J. Leij. 1996. Convective dispersive stream tube model for field-scale solute transport: I. Moment analysis. Soil Sci. Soc. Am. J. 60:342-352.
25. van der Zee, S.E.A.T.M., and J.J.T.I. Boesten. 1991. Effects of soil heterogeneity on pesticide leaching to groundwater. Water Resour. Res. 27:3051-3063.
26. van Genuchten, M.Th. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44:892-898.
27. van Genuchten, M.Th. 1987. A numerical model for water and solute movement in and below the root zone. Research Rep. 121. USDAARS, U.S. Salinity Laboratory, Riverside, CA.
28. Warrick, A.W., and W.R. Gardner. 1983. Crop yield as affected by spatial variations of soil and irrigation.Water Resour. Res. 19:181-186.