Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity
This study investigated the optimal management and allocation of irrigation water under different flow scenarios focusing on economic water productivity (EWP) index. In this study, the aim was to allocate and distribute water between networks and lower crops of Maroon reservoir dam The multi-stage...
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Shahid Chamran University of Ahvaz
2025-01-01
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| Series: | علوم و مهندسی آبیاری |
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| Online Access: | https://jise.scu.ac.ir/article_19718_d59d282dd3c92b32d0db6c8399a05483.pdf |
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| author | Leila Amanat.Behbahani Mahnoosh Moghaddasi Hossain Ebrahimi Hossein Babazadeh |
| author_facet | Leila Amanat.Behbahani Mahnoosh Moghaddasi Hossain Ebrahimi Hossein Babazadeh |
| author_sort | Leila Amanat.Behbahani |
| collection | DOAJ |
| description | This study investigated the optimal management and allocation of irrigation water under different flow scenarios focusing on economic water productivity (EWP) index. In this study, the aim was to allocate and distribute water between networks and lower crops of Maroon reservoir dam The multi-stage stochastic programming method was used to develop the optimization model under three scenarios of arid, normal and wet years in two management modes and the results were compared with the traditional management figures. For this purpose, hydrometric data was sourced from the Marun network station for the 2006–2016 periods. Finally, the results of the second run provided a better irrigation program with a 19% increase in the total area under cultivation and a 7% increase in objective function profit. Moreover, the highest mean EWP in the three scenarios was obtained in the second run for the North network at 9% more than the first run. |
| format | Article |
| id | doaj-art-216df44b023b4ae88d3f32052db02776 |
| institution | DOAJ |
| issn | 2588-5952 2588-5960 |
| language | fas |
| publishDate | 2025-01-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | علوم و مهندسی آبیاری |
| spelling | doaj-art-216df44b023b4ae88d3f32052db027762025-08-20T03:09:33ZfasShahid Chamran University of Ahvazعلوم و مهندسی آبیاری2588-59522588-59602025-01-01474355010.22055/jise.2024.47616.213219718Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic ProductivityLeila Amanat.Behbahani0Mahnoosh Moghaddasi1Hossain Ebrahimi2Hossein Babazadeh3Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.Department of Water Science and Engineering, Faculty of Agriculture and Environment, Arak University, Arak, Iran.Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran,Iran.Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Tehran,Iran.This study investigated the optimal management and allocation of irrigation water under different flow scenarios focusing on economic water productivity (EWP) index. In this study, the aim was to allocate and distribute water between networks and lower crops of Maroon reservoir dam The multi-stage stochastic programming method was used to develop the optimization model under three scenarios of arid, normal and wet years in two management modes and the results were compared with the traditional management figures. For this purpose, hydrometric data was sourced from the Marun network station for the 2006–2016 periods. Finally, the results of the second run provided a better irrigation program with a 19% increase in the total area under cultivation and a 7% increase in objective function profit. Moreover, the highest mean EWP in the three scenarios was obtained in the second run for the North network at 9% more than the first run.https://jise.scu.ac.ir/article_19718_d59d282dd3c92b32d0db6c8399a05483.pdfoptimal managementirrigation waterscenarioeconomic water productivity |
| spellingShingle | Leila Amanat.Behbahani Mahnoosh Moghaddasi Hossain Ebrahimi Hossein Babazadeh Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity علوم و مهندسی آبیاری optimal management irrigation water scenario economic water productivity |
| title | Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity |
| title_full | Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity |
| title_fullStr | Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity |
| title_full_unstemmed | Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity |
| title_short | Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity |
| title_sort | optimal allocation of irrigation water under different flow scenarios using multi stage stochastic programming by emphasizing economic productivity |
| topic | optimal management irrigation water scenario economic water productivity |
| url | https://jise.scu.ac.ir/article_19718_d59d282dd3c92b32d0db6c8399a05483.pdf |
| work_keys_str_mv | AT leilaamanatbehbahani optimalallocationofirrigationwaterunderdifferentflowscenariosusingmultistagestochasticprogrammingbyemphasizingeconomicproductivity AT mahnooshmoghaddasi optimalallocationofirrigationwaterunderdifferentflowscenariosusingmultistagestochasticprogrammingbyemphasizingeconomicproductivity AT hossainebrahimi optimalallocationofirrigationwaterunderdifferentflowscenariosusingmultistagestochasticprogrammingbyemphasizingeconomicproductivity AT hosseinbabazadeh optimalallocationofirrigationwaterunderdifferentflowscenariosusingmultistagestochasticprogrammingbyemphasizingeconomicproductivity |