Incorporating Economy and Long-term Inflow Forecasting Uncertainty into Decision-making for Agricultural Water Allocation during Droughts

被引:10
作者
Safa, Hamideh Hosseini [1 ]
Morid, Saeed [1 ]
Moghaddasi, Mahnoush [2 ]
机构
[1] Tarbiat Modares Univ, Tehran, Iran
[2] Arak Univ, Arak, Iran
关键词
Agricultural water allocation; Uncertainty; Forecasting; Economy; Drought management; Zayandeh Rud basin; RESERVOIR; TIME; IRRIGATION; MODEL;
D O I
10.1007/s11269-012-0015-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Optimizing water allocations for the agricultural sector, the main water consumer, at the beginning of a period of drought is essential. However, long-term inflow forecasting, with its high uncertainty, is a necessary component of the allocation process. This paper presents a methodology that combines this uncertainty with economic factors to determine water allocation. The following models were developed and linked: optimization of agricultural water allocation under water scarcity, long-term flow forecast and quantification of forecast uncertainties. The approach coordinates economic values of water with system operational requirements. The Zayandeh Rud dam and irrigation system was selected to explore the methodology of this research.
引用
收藏
页码:2267 / 2281
页数:15
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