Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman
This article presents a simulation-optimization approach for evaluating the feasibility of managed aquifer recharge (MAR) in the Samail Lower Catchment, Oman. The objective is to provide a maximum recharge and extraction rate through MAR in an annual cycle of two successive injection and recovery pe...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
American Society of Civil Engineers
2016
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| Acceso en línea: | https://hdl.handle.net/10568/69370 |
| _version_ | 1855525291738267648 |
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| author | Ebrahim, Girma Yimer Jonoski, A. Al-Maktoumi, A. Ahmed, M. Mynett, A. |
| author_browse | Ahmed, M. Al-Maktoumi, A. Ebrahim, Girma Yimer Jonoski, A. Mynett, A. |
| author_facet | Ebrahim, Girma Yimer Jonoski, A. Al-Maktoumi, A. Ahmed, M. Mynett, A. |
| author_sort | Ebrahim, Girma Yimer |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This article presents a simulation-optimization approach for evaluating the feasibility of managed aquifer recharge (MAR) in the Samail Lower Catchment, Oman. The objective is to provide a maximum recharge and extraction rate through MAR in an annual cycle of two successive injection and recovery periods, while meeting operational and system constraints such as water level, gradient, and travel time. Three groundwater management problems were solved by coupling a simulation model with successive linear programming (SLP) and the nondominated sorting genetic algorithm (NSGA-II) multiobjective genetic algorithm. Sensitivity analysis was also completed to examine the overall response of the simulation-optimization results to changes in hydraulic conductivities and maximum injection rates. Results using the SLP algorithm showed that the total volume of injected water for 4 months of injection without recovery is as high as 8 × 106 m3, and the total recovered volume of water for 4months injection and 8 months recovery is approximately 5.3 × 106 m3, giving a total recovery efficiency of approximately 66%. For the same setup the NSGA-II algorithm derived the entire nondominated front of solutions for two conflicting objectives: maximizing recovery rate and maximizing minimum groundwater head close to the sea (for preventing seawater intrusion). This algorithm includes travel time constraints directly in the optimization process. In conclusion, the proposed approach provides a cost-effective means to evaluate MAR in a coastal aquifer. |
| format | Journal Article |
| id | CGSpace69370 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | American Society of Civil Engineers |
| publisherStr | American Society of Civil Engineers |
| record_format | dspace |
| spelling | CGSpace693702025-06-17T08:23:41Z Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman Ebrahim, Girma Yimer Jonoski, A. Al-Maktoumi, A. Ahmed, M. Mynett, A. aquifers groundwater recharge groundwater water levels water budget water supply catchment areas dams mathematical models simulation models algorithms sensitivity analysis hydraulic conductivity calibration salt water intrusion This article presents a simulation-optimization approach for evaluating the feasibility of managed aquifer recharge (MAR) in the Samail Lower Catchment, Oman. The objective is to provide a maximum recharge and extraction rate through MAR in an annual cycle of two successive injection and recovery periods, while meeting operational and system constraints such as water level, gradient, and travel time. Three groundwater management problems were solved by coupling a simulation model with successive linear programming (SLP) and the nondominated sorting genetic algorithm (NSGA-II) multiobjective genetic algorithm. Sensitivity analysis was also completed to examine the overall response of the simulation-optimization results to changes in hydraulic conductivities and maximum injection rates. Results using the SLP algorithm showed that the total volume of injected water for 4 months of injection without recovery is as high as 8 × 106 m3, and the total recovered volume of water for 4months injection and 8 months recovery is approximately 5.3 × 106 m3, giving a total recovery efficiency of approximately 66%. For the same setup the NSGA-II algorithm derived the entire nondominated front of solutions for two conflicting objectives: maximizing recovery rate and maximizing minimum groundwater head close to the sea (for preventing seawater intrusion). This algorithm includes travel time constraints directly in the optimization process. In conclusion, the proposed approach provides a cost-effective means to evaluate MAR in a coastal aquifer. 2016-02 2015-12-18T10:24:51Z 2015-12-18T10:24:51Z Journal Article https://hdl.handle.net/10568/69370 en Limited Access American Society of Civil Engineers Ebrahim, Girma Yimer; Jonoski, A.; Al-Maktoumi, A.; Ahmed, M.; Mynett, A. 2015. Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman. Journal of Water Resources Planning and Management, 16p. (Online first). doi: https://doi.org/10.1061/(ASCE)WR.1943-5452.0000588 |
| spellingShingle | aquifers groundwater recharge groundwater water levels water budget water supply catchment areas dams mathematical models simulation models algorithms sensitivity analysis hydraulic conductivity calibration salt water intrusion Ebrahim, Girma Yimer Jonoski, A. Al-Maktoumi, A. Ahmed, M. Mynett, A. Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman |
| title | Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman |
| title_full | Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman |
| title_fullStr | Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman |
| title_full_unstemmed | Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman |
| title_short | Simulation-optimization approach for evaluating the feasibility of managed aquifer recharge in the Samail Lower Catchment, Oman |
| title_sort | simulation optimization approach for evaluating the feasibility of managed aquifer recharge in the samail lower catchment oman |
| topic | aquifers groundwater recharge groundwater water levels water budget water supply catchment areas dams mathematical models simulation models algorithms sensitivity analysis hydraulic conductivity calibration salt water intrusion |
| url | https://hdl.handle.net/10568/69370 |
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