水资源不确定性条件下灌区水资源供需的区间双边调控框架

IF 5.9 1区 农林科学 Q1 AGRONOMY Agricultural Water Management Pub Date : 2025-02-01 DOI:10.1016/j.agwat.2024.109266
Zhan Shu , Yan Kang , Ying Gao , Xuemai Shi , Wanxue Li , Shuo Zhang , Songbai Song , Lingjie Li
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引用次数: 0

摘要

气候变化和人类活动削弱了水资源系统的稳定性,导致来水预测、供水侧水库运行优化和需水侧用水结构适应性调整存在多重不确定性。为应对水资源调控中的不确定性量化和供需匹配问题,将来水区间预测方法、水库多目标优化调度双层模型和灌区种植结构优化模型相结合,建立了“整体入库预测-储备调度策略-区间双边调控-供水风险分析”框架。在提出的框架中,采用NGBoost和Bootstrap方法评估了不同样本量下径流和地下水的不确定性。提出了不确定径流条件下水库多目标运行的双层模型,以优化不同储水顺序下的水库运行规则。为了优化作物种植结构以适应不确定的供水情景,建立了一种区间双边供需调节模型。我们将该框架应用于西北宝鸡峡灌区(BIA)。结果表明,NGboost模型对月径流的预测效果较好。水库群按照蓄水顺序[II, III, IV, V, VI]和供水顺序[VI, V, IV, III, II],可以降低径流不确定条件下的供水风险。与当前情景相比,区间双边调节框架下A-W、A-N、A-D和A-E供水情景下,年平均经济效益提高19.6% % ~ 24.9 %,灌溉水减少10.3 % ~ 12.5 %,缺水率降低到2.1 % ~ 2.9 %。该研究为解决水资源供需和多重不确定性的相互作用提供了一个新的视角。
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An interval bilateral regulation framework of water resources supply and demand in irrigation area under water sources uncertainty
Climate change and human activities have diminished the stability of the water resources system, leading to multiple uncertainties in the prediction of incoming water, reservoir operation optimization on the water supply side, and adaptive adjustments of the water-use structure on the water demand side. In response to quantify uncertainty and match the water supply-demand in water resources regulation, we developed a novel "ensemble inflow prediction—reserve operation strategy—interval bilateral regulation—water supply risk analysis" framework by coupling the interval prediction methods of incoming water, the bilayer model of reservoir multi-objective optimal operation, and the optimization model of planting structure in irrigation area. In the proposed framework, the NGBoost and Bootstrap methods were employed to assess the uncertainty of runoff and groundwater based on the varying sample sizes. A bilayer model of reservoir multi-objective operation was proposed under uncertain runoff to optimize reservoir operation rules for different sequences of reservoir water storage and supply. An interval bilateral regulation model of water supply and demand was developed to optimize crop planting structures for adapting to uncertain water supply scenarios. We applied this framework to the Baojixia Irrigation Area (BIA) of Northwest China. The results show that the NGboost model achieves satisfactory prediction results for the monthly runoff. The reservoir group, following the sequence of water storage [II, III, IV, V, VI] and the sequence of water supply [VI, V, IV, III, II], can reduce water supply risks under uncertain runoff. Compared to the current scenario, annual average economic benefit has been increased by 19.6 %-24.9 %, irrigation water has been reduced by 10.3 %-12.5 %, and water shortage rates have been reduced to 2.1 %-2.9 % under water supply scenarios A-W, A-N, A-D, and A-E in the interval bilateral regulation framework. This study provides a new perspective to address the interaction of water supply-demand and multiple uncertainties.
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来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
期刊最新文献
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