Title: Smart irrigation planning in water deficit area (case study: Pench Irrigation Project, India)

Authors: Narendra Bonde; Vivek Manekar; Dinesh V. Morankar

Addresses: Sardar Vallabhbhai National Institute of Technology, Surat – 395007, India ' Sardar Vallabhbhai National Institute of Technology, Surat – 395007, India ' College of Military Engineering, Dapodi, Pimpri-Chinchwad, Maharashtra – 411031, India

Abstract: As the climate is changing, more and more area is turning into water deficit for irrigation. It is always challenging for the authority to allocate crop area and water resources in such a way that farmers should not be in the loss. Genetic algorithm (GA) optimisation model is used in this for optimisation of surface and groundwater (GW) resources in the Pench Irrigation Project. The results show that the command area's GW allotment is significantly reduced, and GW withdrawal may also be limited to recharge in order to preserve the equilibrium between rivers and aquifers. The optimisation problem for constrained conjunctive use was solved using a GA. To enhance the net benefit to the farmers and keep the water demand within the volume of water available, the results show that paddy, cotton, and wheat should be grown less, and sugarcane, other perennial crops, and chillies should be grown more.

Keywords: conjunctive use; irrigation; crop area optimisation; linear programming; India.

DOI: 10.1504/IJHST.2024.142034

International Journal of Hydrology Science and Technology, 2024 Vol.18 No.4, pp.393 - 407

Received: 01 Aug 2022
Accepted: 09 Mar 2023
Published online: 07 Oct 2024 *

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