Physically Based Coupled Model for Simulating 1D Surface–2D Subsurface Flow and Plant Water Uptake in Irrigation Furrows. II: Model Test and Evaluation
This article is a reply.
VIEW THE ORIGINAL ARTICLEThis article has a reply.
VIEW THE REPLYPublication: Journal of Irrigation and Drainage Engineering
Volume 133, Issue 6
Abstract
A physically based seasonal Furrow Irrigation Model was developed, which comprises three modules: The one-dimensional surface flow, the two-dimensional subsurface flow, and a crop model. The modeling principles of these modules, their simultaneous coupling, and the solution strategies were described in a companion paper (Wöhling and Schmitz 2007). In the current contribution, we present the model testing with experimental data from five real-scale laboratory experiments [Hubert-Engels Laboratory (HEL)], two field experiments in Kharagpur, Eastern India (KGP), one literature data set [Flowell-wheel (FW)], and data from three irrigations during a corn growing season in Montpellier, Southern France [Lavalette experiments (LAT)]. The simulated irrigation advance times match well with the observations of the HEL, FW, and KGP experiments, which is confirmed by coefficients of determination and coefficients of efficiency . Predicted recession times also match with the observations of the HEL runs, however, the values of and are lower for predicted recession times as compared to predicted advance times. In contrast to the other experiments in the study, advance times are underpredicted for the experiments in France. The established soil hydraulic parameters for this site lead to an underestimation of the actual initial infiltration capability of the soil. In the long-term simulation, however, the overall change in soil moisture storage is correctly predicted by the model and the calculated yield of is in very good agreement with the observations . We evaluated the sensitivity of the input parameters with regards to predicted advance time and runoff in both a long furrow and a long long furrow. The analysis revealed that calculated runoff is four to five times more sensitive to the inlet flow rate than to infiltration parameters. Furrow geometry parameters are most sensitive to calculated advance times in the short furrow with low infiltration opportunity time, whereas the inflow rate and infiltration parameters are more sensitive to calculated advance times in the long furrow with larger infiltration opportunity time.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The writers would like to thank the German Research Foundation (DFG), which kindly sponsored this project over a period of six years at the Dresden University of Technology, Germany.
References
Alvarez, J. (2003). “Estimation of advance and infiltration equation in furrow irrigation for untested discharges.” Agric. Water Manage., 60(3), 227–239.
ASCE. (1993). “Task Committee on Definition of Watershed Models of the Watershed Management Committee, Irrigation and Drainage Division: Criteria for evaluation of watershed models.” J. Irrig. Drain. Eng., 119(3), 429–442.
Esfandiari, M. (1997). “Evaluation of furrow irrigation models for South-East Australia.” Ph.D. thesis, School of Agricultural and Rural Development, Univ. of Western Sydney-Hawkesbury, Richmond, NSW Australia.
Esfandiari, M., and Maheshwari, B. L. (2001). “Field evaluation of furrow irrigation models.” J. Agric. Eng. Res., 79(4), 459–479.
Feddes, R. A., Kowalik, P., and Zaradny, H. (1978). “Simulation of field water use and crop yield.” Simulation monographs, PUDOC, Wageningen, The Netherlands.
Hall, J. M. (2001). “How well does your model fit the data?” J. Hydroinform., 3(1), 49–55.
Haverkamp, R., Kutilek, M., Parlange, Y. J., Rendon, L., and Krejca, M. (1988). “Infiltration under ponded conditions. 2: Infiltration equation tested for parameter time-dependence and predictive use.” Soil Sci., 145(5), 317–329.
Mailhol, J. C. (2001). “Contribution a l’amelioration des pratiques d’irrigation a la raie par une modelisation simplidiee a l’echelle de la parcelle et de la saison.” Ph.D. thesis, Univ. of Montpellier, Montpellier, France (in French).
Mailhol, J. C., and Gonzalez, J. (1993). “Furrow irrigation model for real-time application on cracking soils.” J. Irrig. Drain. Eng., 119(5), 768–783.
Mailhol, J. C., Olufayo, A. A., and Ruelle, P. (1997). “Sorghum and sunflower evapotranspiration and yield from simulated leaf area index.” Agric. Water Manage., 35(1–2), 167–182.
Mailhol, J. C., Priol, M., and Benali, M. (1999). “A furrow irrigation model to improve furrow irrigation practices in the Gharb valley of Morocco.” Agric. Water Manage., 42(1), 65–80.
Mailhol, J. C., and Ruelle, P. (1999). “Un outil operationnel pour l’analyse des strategies d’irrigation du mais au moyen d’un canon enrouleur.” Int. Commission on Irrigation and Drainage 17th Int. Congress, Grenada, Spain (in French).
Mailhol, J. C., Ruelle, P., and Nemeth, I. (2001). “Impact of fertilisation practices on nitrogen leaching under irrigation.” Irrig. Sci., 20(3), 139–147.
Mueller, A. (2001). “Estimation of hydraulic soil parameters of tilled soil using direct and inverse methods.” CEMAGREF, Serie Irrigation, Dept. Equipements pour l’Eau et l’Environnement, 361, rue Jean-Francois Breton, BP 5095, 34033 Montpellier Cedex 01, France.
Nemeth, I. (2001). “Devenir de l’azote sous irrigation gravitaire. Application au cas d’un perimetre irrigue au mexique.” Ph.D. thesis, Univ. of Montpellier II, Montpellier, France (in French).
Ng, E., and Loomis, R. S. (1984). “Simulation of growth and yield for the potato crop.” Simulation monographs, PUDOC, Wageningen, The Netherlands.
Oyonarte, N., Mateos, L., and Palomo, M. (2002). “Infiltration variability in furrow irrigation.” J. Irrig. Drain. Eng., 128(26), 26–33.
Perroux, K., and White, I. (1988). “Design for disc permeameter.” Soil Sci. Soc. Am. J., 52(5), 1205–1215.
Schaap, M., and Leij, F. (1998). “Using neuronal networks to predict soil water retention and soil hydraulic conductivity.” Soil Tillage Res., 47(1–2), 37–42.
Schmitz, G. H., Lennartz, F., Singh, R., and Raghuwanshi, N. (2005). “Modeling flow and sediment transport phenomena for improved furrow irrigation management.” Project Rep., Volkswagen Foundation, Institute of Hydrology and Meteorology, TU Dresden, Germany, and the Agricultural and Food Engineering Dept., Indian Institute of Technology, Kharagpur, India.
Schmitz, G. H., Schütze, N., and Wöhling, Th. (2007). Irrigation control: Towards a new solution of an old problem, IHP/HWRP-Berichte, Vol. 5, International Hydrological Programme (IHP) of UNESCO and The Hydrology and Water Resources Programme (HWRP) of WMO, Koblenz, Germany.
Vachaud, G., Dancette, C., Sonko, L., and Thony, J. (1978). “Methodes de caracterisation hydrodynamiques in situ d’un sol non sature. Application a deux types de sol du senegal en vue de la determination des termes du bilan hydrique.” Annales Agronomiques, I/77 982 (in French).
Walker, W. R., and Humpherys, A. S. (1983). “Kinematic-wave furrow irrigation model.” J. Irrig. Drain. Eng., 109(4), 377–392.
Wöhling, Th., Fröhner, A., Schmitz, G. H., and Liedl, R. (2006). “Efficient solution of the coupled one dimensional surface-two dimensional subsurface flow during furrow irrigation advance.” J. Irrig. Drain. Eng., 132(4), 380–388.
Wöhling, Th., and Schmitz, G. H. (2007). “Physically based coupled model for simulating 1D surface–2D subsurface flow and plant water uptake in irrigation furrows. I: Model development.” J. Irrig. Drain. Eng., 133(6), 538–547.
Wöhling, Th., Singh, R., and Schmitz, G. H. (2004). “Physically based modeling of interactive surface-subsurface flow during furrow irrigation advance.” J. Irrig. Drain. Eng., 130(5), 349–356.
Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 133 • Issue 6 • December 2007
Pages: 548 - 558
Copyright
© 2007 ASCE.
History
Received: Jul 13, 2006
Accepted: Mar 16, 2007
Published online: Dec 1, 2007
Published in print: Dec 2007
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.