气候变化下的灌用水资源的动态和和的分配:基于SWAT的多目标非线性框架
Kaihua Cao1, Xiao Liu2, Qiang Fu3
1School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
The Science of the total environment
|September 23, 2023
概括
本研究介绍了灌区的动态水分配模型,改善了供水,经济效率和公平. 优化的模型显著提高了作物产量和用水效率,即使在水资源稀缺的情况下.
科学领域:
- 农业用水管理农业用水管理
- 环境工程 环境工程
- 适应气候变化 适应气候变化
背景情况:
- 灌区的水分配效率低下,由于协调不佳和气候变化影响,阻碍了可持续农业.
- 现有的模型未能在转移-交付-灌链中解决多来源,多用户的水分配挑战.
- 挑战包括供水需求不匹配,效率低,气候变化应对不足等.
研究的目的:
- 为灌区的多个水源开发一个以天气为导向的动态和最佳分配模型.
- 改善供水和需求的匹配,提高经济效率,提高公平性和提高用水效率.
- 解决水资源管理缺乏协调的问题,以实现可持续的灌农业.
主要方法:
- 将土壤和水资源评估工具 (SWAT) 流水模拟模型与多目标非线性编程模型相结合.
- 开发一个以天气为驱动的动态分配模型,考虑供水波动.
- 微调不同来源,道和作物肥沃期的水分配.
主要成果:
- 该模型在供水,经济效率和公平性方面实现了协同改进.
- 在Qindeli灌区的应用显示了经济效率的提高和供水需求与增加的源水供应相匹配.
- 优化模型节省了4%的水,提高了399公斤/公的产量,经济效率为0.2元/立方米,用水效率为9%.
结论:
- 拟议的模型提高了用水效率,并优化了灌区在稀缺情况下的用水结构.
- 它确保了水资源在作物肥沃性各级和各阶段的公平分配.
- 该模型为在不断变化的环境中可持续灌农业发展提供了一个强大的框架.
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