Proposed Optimized Cropping Pattern for Different Water Availability Scenarios in Markonahalli Reservoir for Upper Shimsha Irrigation Project, Karnataka, India

Praveen. P, M. S. Ayyanagowdar, S.S. Prakash, B. S. Polisgowdar, B. M. Babu, G.S. Yadahalli, Rajashekhar, M
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Abstract

The optimization model has been developed using linear programming by considering the stochastic nature of the inflows to the reservoir and solved for different storage water availability levels in reservoir viz., 60 per cent, 70per cent, 80per cent, 90per cent and 100 per cent to obtain various cropping patterns under canal command area. Linear programming is used either to maximize or minimize a given objective function. The total command area for cultivation is likely divided between the Kharif and Rabi seasons, with different crops being prioritized in each season based on their growing conditions and water availability. The existing area of 2639.38 ha for paddy is significantly reduced to a constant 1000 ha in the optimized scenarios, regardless of water availability. Sugarcane, with present area of 296.54 ha, the area is increased to 1722.13 ha under 100 per cent water availability but is reduced progressively to just 410.13 ha at 60per cent water availability. Optimization trend highlights finger millet's resilience and suitability under lower water conditions, making it a preferred crop when water is scarce.
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印度卡纳塔克邦上希姆沙灌溉项目马尔科纳哈里水库不同供水情景下的优化种植模式建议
考虑到水库流入量的随机性,利用线性规划开发了优化模型,并针对水库中不同的储水可用性水平(即 60%、70%、80%、90% 和 100%)进行了求解,以获得运河指挥区内的各种种植模式。线性规划用于最大化或最小化给定的目标函数。指挥区的总种植面积可能会被划分为 Kharif 和 Rabi 两季,每季根据不同作物的生长条件和可用水量优先种植不同作物。在优化方案中,现有的 2639.38 公顷水稻种植面积将大幅减少到 1000 公顷,与可用水量无关。甘蔗的现有面积为 296.54 公顷,在 100%供水情况下增加到 1722.13 公顷,但在 60%供水情况下逐渐减少到仅 410.13 公顷。优化趋势凸显了小米在低水量条件下的适应能力,使其成为缺水时的首选作物。
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