Optimal Irrigation Allocation: A Multilevel Approach
Publication: Journal of Irrigation and Drainage Engineering
Volume 126, Issue 3
Abstract
Optimal resources allocation strategies for a canal command in the semiarid region of Indian Punjab are developed in a stochastic regime, considering the competition of the crops in a season, both for irrigation water and area of cultivation. The proposed strategies are divided into two modules using a multilevel approach. The first module determines the optimal seasonal allocation of water as well as optimal cropping pattern. This module is subdivided into two stages. The first stage is a single crop intraseasonal model that employs a stochastic dynamic programming algorithm. The stochastic variables are weekly canal releases and evapotranspiration of the crop that are fitted to different probability distribution functions to determine the expected values at various risk levels. The second stage is a deterministic dynamic programming model that takes into account the multicrop situation. An exponential seasonal crop-water production function is used in this stage. The second module is a single crop stochastic dynamic programming intraseasonal model that takes the output of the first module and gives the optimal weekly irrigation allocations for each crop by considering the stress sensitivity factors of crops.
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References
1.
Deputy Commissioner. ( 1998). “Area yield and production of various crops.” Agricultural Development in Faridkot District, Faridkot, Punjab, India.
2.
Borg, H., and Grimes, D. W. (1986). “Depth development of roots with time: An empirical description.” Trans. ASAE, 29(1), 194–197.
3.
Bras, R. L., and Cordova, J. R. (1981). “Intra-seasonal water allocation in deficit irrigation.” Water Resour. Res., 17(4), 866–874.
4.
Doorenbos, J., and Kassam, A. H. ( 1981). “Yield response to water.” Food and Agric. Org. Irrig. and Drain. Paper 33, United Nations, Rome.
5.
Haan, C. T. (1979). Statistical methods in hydrology. Iowa State University Press, Ames, Iowa.
6.
Haxem, R. W., and Heady, E. O. (1978). Water production function for irrigated agriculture. Iowa State University Press, Ames, Iowa.
7.
Panda, S. N. ( 1992). “Integrated land and water resources planning and management.” PhD thesis, Punjab Agricultural University at Ludhiana, Punjab, India.
8.
Panda, S. N., Khepar, S. D., and Kausal, M. P. (1996). “Interseasonal irrigation system planning for waterlogged sodic soils.”J. Irrig. and Drain. Engrg., ASCE, 122(3), 135–144.
9.
Paul, S. ( 1998). “Seasonal and intra-seasonal irrigation scheduling for multi-crop environment: A case study.” Masters thesis, Indian Institute of Technology, Kharagpur, India.
10.
Rao, N. H., Sarma, P. B. S., and Chander, S. (1990). “Optimal multi-crop allocation of seasonal and intra-seasonal irrigation water.” Water Resour. Res., 26(4), 551–559.
11.
Rhenals, A. E., and Bas, R. L. (1981). “The irrigation scheduling problem and evapotranspiration uncertainty.” Water Resour. Res., 17(5), 1328–1338.
12.
Sunantara, J. D., and Ramírez, J. A. (1997). “Optimal stochastic multicrop seasonal and intraseasonal irrigation control.”J. Water Resour. Plng. and Mgmt., ASCE, 123(1), 39–48.
13.
Vedula, S., and Nagesh Kumar, D. (1996). “An integrated model for optimal reservoir operation for irrigation of multiple crops.” Water Resourc. Res., 32(4), 1101–1108.
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Received: Aug 20, 1998
Published online: May 1, 2000
Published in print: May 2000
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