Abstract
An uncertain monthly reservoirs operation and multicrop deficit irrigation model was proposed under conjunctive use of underground and surface water for water resources optimization management. The objective is to maximize the total crop yield of the entire irrigation districts. Meanwhile, ecological water remained for the downstream demand. Because of the shortage of water resources, the monthly crop water production function was adopted for multiperiod deficit irrigation management. The model reflects the characteristics of water resources repetitive transformation in typical inland rivers irrigation system. The model was used as an example for water resources optimization management in Shiyang River Basin, China. Uncertainties in reservoir management shown as fuzzy probability were treated through chance-constraint parameter for decision makers. Necessity of dominance(ND)was used to analyse the advantages of the method. The optimization results including reservoirs real-time operation policy, deficit irrigation management, and the available water resource allocation could be used to provide decision support for local irrigation management. Besides, the strategies obtained could help with the risk analysis of reservoirs operation stochastically.
Highlights
Shortage of water resources is a critical constraint for agricultural production in arid and semiarid regions
Deficit irrigation could result in the lower crop yields and reduce the net benefits of the irrigation district
A multicrop irrigation water resources optimization model based on Jensen water production function model for real-time reservoirs operation is proposed
Summary
Shortage of water resources is a critical constraint for agricultural production in arid and semiarid regions. Mujumdar and Ramesh [8] developed a real-time dynamic programming model for optimal crops water allocation and reservoir release, but the framework of the model is deterministic. Previous researchers just considered two issues among reservoirs operation, irrigation district, ecological water requirement, and surface watergroundwater conjunctive use. Azaiez et al [20] applied chance constraint to explain the potential benefits of groundwater saving These methods cannot handle dual uncertainties presented as linkage between fuzzy and probability distribution. To handle this problem, Guo and Huang [21] developed a two-stage fuzzy chance-constraint programming for water resources management. Irrigation water was calculated through Jensen model under deficit irrigation condition
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