Integrated Reservoir-Based Canal Irrigation Model. I: Description
Publication: Journal of Irrigation and Drainage Engineering
Volume 135, Issue 2
Abstract
The success of irrigation system operation and planning depends on the quantification of supply and demand and equitable distribution of supply to meet the demand if possible, or to minimize the gap between the supply and demand. Most of the irrigation literature mainly focuses on the demand and distribution aspects only. In addition, irrigation projects that receive water from a reservoir can be challenging to manage as annual fluctuations in runoff from the reservoir’s catchment can have considerable impact on the irrigation management strategy. This study focuses on the development of an integrated reservoir-based canal irrigation model (IRCIM) that includes catchment hydrologic modeling, reservoir water balance, command hydrologic modeling, and a rotational canal irrigation management system. The front end of the IRCIM is developed in Visual Basic 6.0, whereas the back-end coding is done in C language. The graphical user interface is the most important feature of the model, as it provides a better interaction between the model and its user. The IRCIM has a modular structure that consists of three modules, viz., catchment module, reservoir module, and crop water demand module. The catchment module predicts daily runoff from the catchment that inflows to the reservoir. Depending on the data availability, this module is provided with the flexibility of choosing between the Soil Conservation Service’s curve number method combined with the Muskingum routing technique, and an artificial neural network technique using the Levenberg–Marquardt algorithm. The reservoir module is based on conservation of mass approach, and results in daily reservoir storage. The crop water demand module is comprised of water-balance models for both paddy and field crops. The irrigation management system serves as the program flow controller for the model and runs the required module when needed. For postseason evaluation of the irrigation system, performance indicators such as adequacy, efficiency, equity, and dependability are used. In a companion paper, the model is applied for Kangsabati Irrigation Project, West Bengal, India.
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References
Agriculture Insurance Company of India Ltd. (AIC). (2006). “From the Chairman’s desk.” ⟨http://aicofindia.nic.in/cmd2.html⟩ (Jul. 7, 2006).
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Crop evapotranspiration—Guidelines for computing crop water requirements.” Irrigation and Drainage Paper No. 56, Food and Agriculture Organization of the United Nations, Rome.
Bouman, B. A. M., Kropff, M. J., Tuong, T. P., Wopereis, M. C. S., ten Berge, H. F. M., and van Laar, H. H. (2001). “ORYZA2000: Modeling lowland rice.” International Rice Research Institute, Los Baños, Philippines, and Wageningen Univ. and Research Centre, Wageningen.
Brooks, R. H., and Corey, A. T. (1964). “Hydraulic properties of porous media.” Hydrology Paper No. 3, Colorado State Univ., Fort Collins. Colo.
Chambers, R. (1988). Managing canal irrigation: Practical analysis from South Asia, Cambridge University Press, Cambridge, U.K.
Danish Hydraulic Institute (DHI). (1992). MIKE 11 version 3.01 general reference manual, Denmark.
Delft Hydraulics and DHV Consultants B. V. (1989). “Cidurian upgrading and water management project: OMIS—Notes on modelling concepts.” User’s manual, Jakarta, Indonesia.
de Vos, N. J., and Rientjes, T. H. M. (2005). “Constraints of artificial neural networks for rainfall-runoff modelling: Trade-offs in hydrological state representation and model evaluation.” Hydrology Earth Syst. Sci., 9(1), 111–126.
Doorenbos, J., and Pruitt, W. O. (1977). “Guidelines for predicting crop water requirements.” Irrigation and Drainage Paper No. 24, Food and Agriculture Organization of the United Nations, Rome.
Garbrecht, J. D. (2006). “Comparison of three alternative ANN designs for monthly rainfall-runoff simulation.” J. Hydrol. Eng., 11(5), 502–505.
George, B. A., Raghuwanshi, N. S., and Singh, R. (2004). “Development and testing of a GIS integrated irrigation scheduling model.” Agric. Water Manage., 66(3), 221–237.
George, B. A., Shende, S. A., and Raghuwanshi, N. S. (2000). “Development and testing of an irrigation scheduling model.” Agric. Water Manage., 46, 121–136.
Hagan, M. T., and Menhaj, M. B. (1994). “Training feed forward networks with the Marquardt algorithm.” IEEE Trans. Neural Netw., 5(6), 989–993.
Hajilal, M. S., Rao, N. H., and Sarma, P. B. S. (1998a). “Planning intraseasonal water requirements in irrigation projects.” Agric. Water Manage., 37(2), 163–182.
Hajilal, M. S., Rao, N. H., and Sarma, P. B. S. (1998b). “Real time operation of reservoir based canal irrigation systems.” Agric. Water Manage., 38(2), 103–122.
Hameed, T., and Podger, G. (2001). “Use of IQQM simulation model for planning and management of a regulated river system.” IAHS red book 2001, International Association of Hydrological Sciences, Wallingford, U.K., 83–89.
Hargreaves, G. H. (1994). “Defining and using reference evapotranspiration.” J. Irrig. Drain. Eng., 120(6), 1132–1139.
Hydrologic Engineering Center (HEC). (1971). “HEC-3 reservoir system analysis.” Technical Rep., United States Army Corps of Engineers, Davis, Calif.
Hydrologic Engineering Center (HEC). (1979). “HEC-5 reservoir system operation for flood control and conservation user manual.” Technical Rep., United States Army Corps of Engineers, Davis, Calif.
Islam, A. (2005). “Development and testing of a hydraulic simulation model for irrigation canal network.” Ph.D. thesis, Dept. of Agriculture and Food Engineering Indian Institute of Technology, Kharagpur, WB, India.
Jeyaseelan, R. (2004). “Water resources development in India—An overview.” National Conf. on Agriculture for Rabi Campaign—2004-2005, National Agriculture Science Centre, Pusa Complex, New Delhi, India, ⟨http://agricoop.nic.in/Rabi2004-05/WaterResources.ppt⟩ (Aug. 11, 2006).
Khepar, S. D., Yadav, A. K., Sondhi, S. K., and Siag, M. (2000). “Water balance model for paddy fields under intermittent irrigation practices.” Irrig. Sci., 19(4), 199–208.
Lamacq, S., and Wallender, W. W. (1994). “Soil water model for evaluating water delivery flexibility.” J. Irrig. Drain. Eng., 120(4), 756–774.
Levenberg, K. (1944). “A method for the solution of certain problems in least squares.” Q. Appl. Math., 2(2), 164–168.
Linsley, R. K., Kohler, M. A., and Paulhus, J. L. H. (1988). Hydrology for engineers, SI Metric Ed., McGraw-Hill, New York.
Maidment, D. R., ed. (1992). Handbook of hydrology, McGraw-Hill, New York.
Makin, I. W. (1995). “INCA: Irrigation management software.” Information technologies for irrigation systems, Network Newsletter, Vol. 2, International Irrigation Management Institution, Colombo, Sri Lanka, 22–24.
Mandavia, A. B., and Acharya, K. D. (1995). “Canal hydraulics and hydraulic simulation by mathematical models.” Proc., Int. Conf. on Water and Energy, Vol. 2, Central Board of Irrigation and Power, New Delhi, India, 552–568.
Marquardt, D. W. (1963). “An algorithm for least-squares estimation of nonlinear parameters.” SIAM J. Appl. Math., 11(2), 431–441.
Mateos, L., López-Cortijo, I., and Sagardoy, J. A. (2002). “SIMIS: The FAO decision support system for irrigation scheme management.” Agric. Water Manage., 56(3), 193–206.
Merkley, G. P. (1995). “CANALMAN—A hydraulic simulation model for unsteady flow in branching canal network.” User's manual, Utah State Univ., Logan, Utah.
Miller, S. N., et al. (2002). “Integrating landscape assessment and hydrologic modeling for land cover change analysis.” J. Am. Water Resour. Assoc., 38(4), 915–929.
Mishra, A., Ghorai, A. K., and Singh, S. R. (1998). “Rainwater, soil and nutrient conservation in rainfed rice lands in Eastern India.” Agric. Water Manage., 38(1), 45–57.
Mishra, A., Singh, R., and Raghuwanshi, N. S. (2005). “Development and application of an integrated optimization-simulation model for major irrigation projects.” J. Irrig. Drain. Eng., 131(6), 504–513.
Molden, D. J., and Gates, T. K. (1990). “Performance measures for evaluation of irrigation water delivery systems.” J. Irrig. Drain. Eng., 116(6), 804–823.
Mualem, Y. (1976). “A new model for predicting the hydraulic conductivity of unsaturated porous media.” Water Resour. Res., 12(1), 513–522.
Natural Resource Conservation Service (NRCS). (2003). “Estimation of direct runoff from strom rainfall.” National engineering handbook, Pt. 630, Chap. 10, USDA, Washington, D.C.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R., and King, K. W. (2002). “Soil and water assessment tool.” Theoretical documentation, Ver. 2000, Soil and Water Research Laboratory, Agricultural Res. Service, Tex. and Blackland Research Center, Texas Agricultural Experiment Station, Tex.
Overton, D. E. (1966). “Muskingum flood routing of upland streamflow.” J. Hydrol., 4, 185–200.
Postel, S. (1999). Pillar of sand: Can the irrigation miracle last? WW Norton and World Watch Institute, New York.
Prajamwong, S. (1994). “Command area decision support system for irrigation projects.” Ph.D. dissertation, Dept. of Biology and Irrigation Engineering, Utah State Univ., Logan, Utah.
Singh, R., Refsgaard, J. C., Yde, L., Jogensen, G. H., and Thorsen, M. (1997). “Hydraulic-hydrological simulations of canal-command for irrigation water management.” Irrig. Drain. Syst., 11(3), 185–213.
Smith, M. (1992). “CROPWAT: A computer program for irrigation planning and management.” Irrigation and Drainage Paper No. 46, Food and Agriculture Organization of the United Nations, Rome.
Soil Conservation Service (SCS). (1967). “Irrigation water requirements.” Technical Release No. 21, USDA, Washington, D.C.
Soil Conservation Service (SCS). (1972). National engineering handbook, Sec. 4, USDA, Washington, D.C.
Soil Conservation Service (SCS). (1986). “Urban hydrology for small watersheds.” Technical Release No. 55, USDA, Washington, D.C., 2.5–2.8.
ten Berge, H. F. M., Jansen, D. M., Rappoldt, K., and Stol, W. (1992). “The soil water balance model SAWAH.” User’s guide and outline, CABO-TPE Simulation Reports Series No. 22, Centre for Agrobiological Research, Wageningen, The Netherlands.
Tiwari, K. N., Kannan, N., Singh, R., and Ghosh, S. K. (1997). “Watershed parameter extraction using GIS and remote sensing for hydrologic modeling.” Asian-Pacific Remote Sens. GIS J., 10(1), 43–52.
Tiwari, K. N., Kumar, P., Sebastian, M., and Pal, D. K. (1991). “Hydrologic modeling for runoff determination: Remote sensing techniques.” Int. J. Water Resour. Dev., 7(3), 178–184.
U.S. Army Corps of Engineers (USACE). (2002). “HEC-RAS river analysis system.” Hydraulic reference manual, Ver. 3.1, Hydrological Engineering Centre, Davis, Calif.
Utah State University (USU). (1996). “Operation and planning distribution model (OPDM).” Software user’s guide, Ver. 2.02, Dept. of Biology and Irrigation Engineering, Logan, Utah.
van Genuchten, M. Th. (1980). “A closed-form equation for predicting the hydraulic conductivity of unsaturated soils.” Soil Sci. Soc. Am. J., 44(5), 892–898.
Vyas, S. K., and Sarma, P. B. S. (1992). “An analytical model for estimation of flows at various locations in a canal command area.” J. Irrig. Power, 48(1), 125–137.
Wurbs, R. A. (1993). “Reservoir-system simulation and optimization models.” J. Water Resour. Plng. and Mgmt. Div., 119(4), 455–472.
Yeh, W. W.-G. (1985). “Reservoir management and operations models: A state-of-the-art review.” Water Resour. Res., 21(12), 1797–1818.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 135 • Issue 2 • April 2009
Pages: 149 - 157
Copyright
© 2009 ASCE.
History
Received: Oct 17, 2007
Accepted: Jan 31, 2008
Published online: Apr 1, 2009
Published in print: Apr 2009
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