优化在冬季地季节的作物规划,利用残留的土壤营养和印度的灌用水分配
Mridusmita Debnath1,2, Arup Kumar Sarma1, Chandan Mahanta1
1Civil Engineering Department, Indian Institute of Technology Guwahati, Assam, 781039, India.
Heliyon
|April 4, 2024
概括
有效的水资源管理是粮食安全的关键. 本研究引入了一种灌-食品-环境-机会受限编程 (IFEC) 模型,以优化在不确定性下种植作物和用水,平衡利和农民偏好.
科学领域:
- 农业用水管理农业用水管理
- 运营研究 运营研究
- 环境科学 环境科学
背景情况:
- 有效的水资源管理对于作物多样化和确保粮食安全至关重要.
- 了解流入不确定性和农民偏好对灌策略的影响至关重要.
- 优化农业实践需要平衡作物产量,用水量和经济回报.
研究的目的:
- 开发和应用灌-粮食-环境-机会受限规划 (IFEC) 模型,以优化作物种植面积,灌水和肥料使用.
- 分析模型对农民偏好的作物面积和下游释放偏差的敏感性.
- 评估水供应变化对作物适用性和经济效益的影响.
主要方法:
- 开发一个IFEC模型,整合作物种植,灌,环境和不确定性.
- 建造八个灌用水分配模型,对偏好作物面积和下游释放进行敏感性分析.
- 该模型应用于印度布拉马普特拉河流域的一个指挥区域.
主要成果:
- 工厂可用的N和P平均分别为62.14公斤ha-1和1.13公斤ha-1.
- 蔬菜和谷物作物显示出比玉米更高的产量和更低的用水需求,受水供应的影响.
- 将优惠作物面积增加到60%的利降低了49%,风险为10%,在现有条件下水不足.
结论:
- 优化作物面积,特别是对于不太需要水的蔬菜,与单一作物相比,提高了公平的水分分配.
- 建议通过财政补贴支持蔬菜种植和促进水利用效率的政策.
- 为了实现可持续的农业和粮食安全目标,平衡农民的偏好与水的供应至关重要.
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