scholarly journals Application of LINGO in Water Resources Optimization Teaching Based on Integer Programming

2018 ◽  
Vol 09 (15) ◽  
pp. 2516-2524
Author(s):  
Baohui Men ◽  
Shiyang Yin
Keyword(s):  
Integer Programming ◽  
Water Resources ◽  
Water Resources Optimization

scholarly journals A uniform spatial allocation strategy in solving water resources optimization dispatch problem

2018 ◽  
Vol 246 ◽  
pp. 01057
Author(s):  
Jiahui Sun ◽  
Xiaohui Lei ◽  
Ji Liang ◽  
Chao Wang ◽  
Liang Men
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Spatial Scale ◽  
Water Consumption ◽  
Social Economy ◽  
Allocation Strategy ◽  
Spatial Allocation ◽  
Original Algorithm ◽  
Water Users ◽  
Water Resources Optimization

Along with social economy development, the total water consumption increased year by year. The conflicts between water supply and water consumption is growing. Water resources optimization dispatch, which is used to allocate water resources to meet the demand of water user on both time scale and spatial scale, plays an important role in water resources management. Aiming at improving the spatial allocation ability of traditional optimization algorithms, a uniform spatial allocation strategy is proposed accordingly. The proposed method is used to improve the performance of optimization algorithm to obtain solutions which can uniform the water supply in spatial scale. Simulation results show that the maximum ratio of water deficiency gained by the proposed method is smaller than that obtained by the original algorithm. The proposed method is effective to balance the demand of water users in spatial scale. Copyright © 2018 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).

Water resources optimization—simulation in Argentina

1990 ◽  
Vol 49 (2) ◽  
pp. 247-253
Author(s):  
Mario H. Gradowczyk ◽  
Pablo M. Jacovkis ◽  
Ana M. Freisztav ◽  
Jean-Marc Roussel ◽  
Esteban G. Tabak
Keyword(s):  
Water Resources ◽  
Optimization Simulation ◽  
Water Resources Optimization

scholarly journals Monthly Optimal Reservoirs Operation for Multicrop Deficit Irrigation under Fuzzy Stochastic Uncertainties

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Liudong Zhang ◽  
Ping Guo ◽  
Shiqi Fang ◽  
Mo Li
Keyword(s):  
Water Resources ◽  
Deficit Irrigation ◽  
Irrigation System ◽  
Irrigation Management ◽  
Chance Constraint ◽  
Shiyang River Basin ◽  
Time Operation ◽  
Real Time Operation ◽  
Optimization Management ◽  
Water Resources Optimization

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.

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