Abstract
Linear programming was used for conjunctive use of canal water and groundwater to develop a cropping pattern for optimal net saving to the farmers in Bhagwanpur Distributary of the Eastern Gandak project. Constraints like total land availability, total water availability, fertilizer availability, labour availability and crop affinity were used. Average hour of operation in a year and average discharge of tube wells were estimated to calculate the total groundwater availability in a year. Six different combinations of canal water and groundwater were used. The optimum result gave the maximum net saving of Rs. 26,346/ha for the conjunctive use of 90% availability of both canal water and groundwater.
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References
Frizzone, J.A., Coelho, R.D., Dourado-Neto, D., Soliani, R.: Linear Programming Model to Optimize the Water Resource Use in Irrigation Projects: An Application to the Senator Nilo Coelho Project (1997)
Raju, K.S., Kumar, D.N.: Irrigation planning of Sri Ram Sagar project using multi objective fuzzy linear programming. ISH J. Hydraul. Eng. 6(1), 55–63 (2000)
Sethi, L.N., Kumar Nagesh, D., Panda, S.N., Mal, B.C.: Optimal crop planning and conjunctive use of water resources in a Coastal River Basin. J. Water Resour. Manag. (2002)
Gajja, B.L., Chand, K., Singh, Y.V.: Impact of land irrigability classes on crop productivity in canal command area of Gujrat: an economic analysis. Agric. Econ. Res. Rev. 19, 83–94 (2006)
Khare, D., Jat, M.K., Deva, Sunder J.: Assessment of water resources allocation options: conjunctive use planning in a Link Canal command. Resour. Conserv. Recycl. 51, 487–506 (2007)
Gore, K.P., Panda, R.K.: Development of multi objective plan using fuzzy technique for optimal cropping pattern in command area of Aundha minor irrigation project in Maharashtra State (India). In: International Conference on Computer and Computing Technologies in Agriculture, pp. 735–741. Springer, Boston, MA. (2008)
Regulwar, D.G., Gurav, J.B.: Fuzzy approach based management model for irrigation planning. J. Water Resour. Prot 2(6), 545–554 (2010)
Mirajkar, A.B., Patel, P.L.: Optimal irrigation planning using multi-objective fuzzy linear programming models. ISH J. Hydraul. Eng. 18(3), 232–240 (2012)
Srivastava, P., Singh, R.M.: agricultural land allocation for crop planning in a canal command area using fuzzy multi-objective goal programming. J. Irrig. Drainage Eng. 143(6), 04017007 (2017)
Singh, A.: Optimal allocation of resources for the maximization of net agricultural return. J. Irrig. Drainage Eng. 138, 830–836 (2012)
Allen, R.G., Pereira, L.S., Raes, D., Smith, M.: Guideline for Computing Crop Water Requirement. Irrigation and Drainage paper 56, FAO Rome (1998)
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Bhushan, M., Roy, L.B. (2020). Optimal Irrigation Planning in the Eastern Gandak Project Using Linear Programming—A Case Study. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_34
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DOI: https://doi.org/10.1007/978-981-13-8196-6_34
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