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Land and water management planning for increasing farm income in irrigated dry areas

机译:土地和水管理规划,以增加干旱地区的农业收入

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摘要

The global population is continuously increasing and good quality land and water resources are simultaneously declining. This condition emphasizes the need of optimal allocation of these resources to fulfill the rising food requirements. This study presents the development and application of two management models for the seasonal optimal allocation of resources to maximize the net annual return of a canal command area of India. The models results show a reduction in rice and mustard crop areas against an increase in wheat, millet, cotton, and sugarcane crops. Under the optimal land and water allocation, the groundwater utilization increased, which in turn mitigated the waterlogging problems of the command area. The net annual return from the command area has increased by about 22%. The different optimal resource allocation strategies show an increase in net annual return with the increase in ranges of deviation from the existing conditions. The developed models can be used as a reliable decision aid for taking the farm and regional level decisions of optimal resources allocation and are able to solve the waterlogging problems of irrigated agriculture. The management models presented here are simple and can be used in any part of the world for maximizing the net agricultural return by mitigating the waterlogging problems in irrigated agriculture. However, under different hydro-geologic conditions, the constraints of the model may differ depending on the groundwater quality/quantity conditions and surface water/groundwater availability. (C) 2014 Elsevier Ltd. All rights reserved.
机译:全球人口不断增加,优质的土地和水资源同时在减少。这种情况强调需要对这些资源进行最佳分配,以满足不断增长的粮食需求。这项研究提出了两种管理模型的开发和应用,以季节性优化资源配置,以最大化印度运河指挥区的年净收益。模型结果显示,水稻和芥末作物面积减少,而小麦,粟,棉花和甘蔗作物增加。在最优的土地和水分配条件下,地下水利用增加了,从而减轻了指挥区的内涝问题。指挥区的年度净收益增加了约22%。不同的最优资源分配策略表明,随着与现有条件的偏离范围的增加,净年收益率也会增加。所开发的模型可以作为可靠的决策辅助工具,用于做出农场和区域一级的最优资源分配决策,并且能够解决灌溉农业的涝灾问题。这里介绍的管理模型很简单,可以通过减轻灌溉农业的涝灾问题而在世界任何地方使用,以使农业净收益最大化。但是,在不同的水文地质条件下,模型的约束条件可能会有所不同,具体取决于地下水的质量/数量条件和地表水/地下水的可利用性。 (C)2014 Elsevier Ltd.保留所有权利。

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