scholarly journals Failure Analysis of a New Irrigation Water Allocation Mode Based on Copula Approaches in the Zhanghe Irrigation District, China

Water ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 251 ◽  
Author(s):  
Haoxin Li ◽  
Dongguo Shao ◽  
Baoli Xu ◽  
Shu Chen ◽  
Wenquan Gu ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Irrigation Water ◽  
Water Allocation ◽  
Irrigation District ◽  
Irrigation Water Allocation

scholarly journals A Stochastic Optimization Model for Agricultural Irrigation Water Allocation Based on the Field Water Cycle

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1031 ◽  
Author(s):  
Zehao Yan ◽  
Mo Li
Keyword(s):  
Irrigation Water ◽  
Water Allocation ◽  
Optimal Allocation ◽  
Water Cycle ◽  
Decision Makers ◽  
Irrigation District ◽  
Agricultural Irrigation ◽  
Dynamic Changes ◽  
Irrigation Water Allocation ◽  
Allocation Strategies

Agricultural water scarcity is a global problem and this reinforces the need for optimal allocation of irrigation water resources. However, decision makers are challenged by the complexity of fluctuating stream condition and irrigation quota as well as the dynamic changes of the field water cycle process, which make optimal allocation more complex. A two-stage chance-constrained programming model with random parameters in the left- and right-hand sides of constraints considering field water cycle process has been developed for agricultural irrigation water allocation. The model is capable of generating reasonable irrigation allocation strategies considering water transformation among crop evapotranspiration, precipitation, irrigation, soil water content, and deep percolation. Moreover, it can deal with randomness in both the right-hand side and the left-hand side of constraints to generate schemes under different flow levels and constraint-violation risk levels, which are informative for decision makers. The Yingke irrigation district in the middle reaches of the Heihe River basin, northwest China, was used to test the developed model. Tradeoffs among different crops in different time periods under different flow levels, and dynamic changes of soil moisture and deep percolation were analyzed. Scenarios with different violating probabilities were conducted to gain insight into the sensitivity of irrigation water allocation strategies on water supply and irrigation quota. The performed analysis indicated that the proposed model can efficiently optimize agricultural irrigation water for an irrigation district with water scarcity in a stochastic environment.

A Hybrid Dynamic Dual Interval Programming for Irrigation Water Allocation under Uncertainty

2012 ◽  
Vol 26 (5) ◽  
pp. 1183-1200 ◽  
Author(s):  
Lei Jin ◽  
Guohe Huang ◽  
Yurui Fan ◽  
Xianghui Nie ◽  
Guanhui Cheng
Keyword(s):  
Irrigation Water ◽  
Water Allocation ◽  
Interval Programming ◽  
Irrigation Water Allocation

scholarly journals Optimal Irrigation Water Allocation Using a Genetic Algorithm under Various Weather Conditions

Water ◽  
2014 ◽  
Vol 6 (10) ◽  
pp. 3068-3084 ◽  
Author(s):  
Somayeh Sadati ◽  
Stijn Speelman ◽  
Mahmood Sabouhi ◽  
Mohsen Gitizadeh ◽  
Bijan Ghahraman
Keyword(s):  
Genetic Algorithm ◽  
Irrigation Water ◽  
Water Allocation ◽  
Weather Conditions ◽  
Irrigation Water Allocation
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