模糊的多目标优化用于灌网络的可持续农业水资源管理
Nargis Mirzaie1, Seied Mehdy Hashemy Shahdany2, Maryam Yousefi2
1Department of Environmental Conservation, College of Natural Sciences, University of Massachusetts, Amherst, MA, USA.
Journal of environmental management
|November 21, 2024
概括
这项研究利用模糊模型优化干旱地区的农业用水管理. 用回收废水取代地下水显著增加了净收益和地下水恢复,促进了可持续的用水.
科学领域:
- 环境科学 环境科学
- 农业工程 农业工程
- 水资源管理 水资源管理
背景情况:
- 在面临竞争和短缺的干旱地区,可持续的水资源管理至关重要.
- 灌网络需要优化用水,以实现农业可持续性.
- 水气气候和经济因素的不确定性挑战了有效的水资源管理.
研究的目的:
- 为了在灌网络中优化农业用水管理,建模不确定性.
- 为了缓解伊朗瓦拉明灌网络的缺水问题.
- 评估回收废水对用水和酸盐浸的影响.
主要方法:
- 模糊多目标粒子群优化 (F-MOPSO) 的应用.
- 经济和水气候不确定性的建模.
- 优化农业模式和用水量.
主要成果:
- 用回收废水取代地下水,净收益增加了21%.
- 通过回收废水使用,地下水恢复得到了82%的改善.
- 模糊模型有效地处理了可持续用水的不确定性.
结论:
- 开发的模糊模型为灌网络的水资源管理提供了一种可持续的方法.
- 废水回收是提高经济效益和环境质量的可行战略.
- 决策者可以利用这个模型来改善水资源管理和消费实践.
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