Optimal water allocation and distribution management in irrigation networks under uncertainty by multi‐stage stochastic case study: Irrigation and drainage networks of Maroon *

2020 ◽  
Vol 69 (4) ◽  
pp. 531-545
Author(s):  
Leila Amanat Behbahani ◽  
Mahnoosh Moghaddasi ◽  
Hossein Ebrahimi ◽  
Hossein Babazadeh
Keyword(s):  
Water Allocation ◽  
Distribution Management ◽  
Irrigation Networks ◽  
Multi Stage ◽  
Drainage Networks ◽  
Stochastic Case ◽  
Optimal Water Allocation

Optimal Water Allocation in Irrigation Networks Based on Real Time Climatic Data

2012 ◽  
Author(s):  
Masoud parsinejad ◽  
Amin Bemani Yazdi ◽  
Shahab Araghinejad ◽  
Pouyan Nejadhashemi ◽  
Mahdi Sarai Tabrizi
Keyword(s):  
Real Time ◽  
Water Allocation ◽  
Climatic Data ◽  
Irrigation Networks ◽  
Optimal Water Allocation

Optimal water allocation in irrigation networks based on real time climatic data

2013 ◽  
Vol 117 ◽  
pp. 1-8 ◽  
Author(s):  
Masoud parsinejad ◽  
Amin Bemani Yazdi ◽  
Shahab Araghinejad ◽  
A. Pouyan Nejadhashemi ◽  
Mahdi Sarai Tabrizi
Keyword(s):  
Real Time ◽  
Water Allocation ◽  
Climatic Data ◽  
Irrigation Networks ◽  
Optimal Water Allocation

Design of water allocation model: efficiency and risk aspects

2005 ◽  
Vol 5 (3-4) ◽  
pp. 9-16
Author(s):  
C. Kim ◽  
D. Han
Keyword(s):  
Water Allocation ◽  
Primary Objective ◽  
Allocation Model ◽  
Proportional Allocation ◽  
Model Efficiency ◽  
Service Sectors ◽  
Expected Benefits ◽  
Water Allocation Model ◽  
Allocation Methods

The primary objective of this study is to improve the methodology for water allocation focused on efficiency and risk aspects. To attain the primary objective, this study sets up an objective function to maximize social expected benefits, and considers three types of allocation methods. Three types of allocation methods are optimal, proportional, and fixed allocation between regions and service sectors. The results of case study area shows that the fixed allocation method is preferred to the proportional allocation in most cases except that the variance of flow is small with respect to efficiency. Also, efficient and less-risky allocation is simultaneously obtained in some cases, while efficiency and risk show the relation of trade-off in other cases.

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

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