Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir
The application of optimization tools and techniques to operate the reservoir on a Multi-objective basis under the circumstances of climate change is unavoidable. The present study utilizes the Multi-Objective Farmland Fertility Optimization (MOFFA) algorithm to derive optimum rules on the operation...
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| Format: | Article |
| Language: | English |
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Shahid Chamran University of Ahvaz
2020-09-01
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| Series: | Journal of Hydraulic Structures |
| Subjects: | |
| Online Access: | https://jhs.scu.ac.ir/article_15791_8236dc93fb340faa3f09d86bacd39d3b.pdf |
| _version_ | 1797465902955888640 |
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| author | Alireza Donyaii Amirpouya Sarraf Hassan Ahmadi |
| author_facet | Alireza Donyaii Amirpouya Sarraf Hassan Ahmadi |
| author_sort | Alireza Donyaii |
| collection | DOAJ |
| description | The application of optimization tools and techniques to operate the reservoir on a Multi-objective basis under the circumstances of climate change is unavoidable. The present study utilizes the Multi-Objective Farmland Fertility Optimization (MOFFA) algorithm to derive optimum rules on the operation of the Golestan Dam in Golestan province under circumstances of climate change. The two targets of reducing vulnerability as well as maximizing reliability under baseline conditions (from April 2006 to October 2018) and climate change conditions (from April 2021 to October 2033) have been formulated for such guidelines. Results revealed that under climate change circumstances, the river flow decreased by 0.17 percent of the baseline period, although the temperature was increased by 20% as well as the rainfall decreased by 21.1%. However, the extent of vulnerability variations in baseline and climate change was 16-45% and 10-43%, respectively. The range of reliability variations in baseline and climate change circumstances was 47-90% and 27-93%. The vulnerability has also been measured at 29 percent and 27 percent for baseline and climate change, respectively, with 75 percent reliability. The increase in release rates for climate change in comparison with baseline circumstances and higher modification of release rates from the reservoir to demand and stronger dam efficiency in changing circumstances showed the comparison of releases and the water shortage requirements for each of Pareto points. |
| first_indexed | 2024-03-09T18:28:06Z |
| format | Article |
| id | doaj.art-2a42a335113145c1a2e2b7149470bdbd |
| institution | Directory Open Access Journal |
| issn | 2345-413X 2345-4156 |
| language | English |
| last_indexed | 2024-03-09T18:28:06Z |
| publishDate | 2020-09-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | Journal of Hydraulic Structures |
| spelling | doaj.art-2a42a335113145c1a2e2b7149470bdbd2023-11-24T07:43:32ZengShahid Chamran University of AhvazJournal of Hydraulic Structures2345-413X2345-41562020-09-016312010.22055/jhs.2020.34556.114515791Application of a New Approach in Optimizing the Operation of the Multi-Objective ReservoirAlireza Donyaii0Amirpouya Sarraf1Hassan Ahmadi2Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, IranDepartment of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, IranDepartment of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, IranThe application of optimization tools and techniques to operate the reservoir on a Multi-objective basis under the circumstances of climate change is unavoidable. The present study utilizes the Multi-Objective Farmland Fertility Optimization (MOFFA) algorithm to derive optimum rules on the operation of the Golestan Dam in Golestan province under circumstances of climate change. The two targets of reducing vulnerability as well as maximizing reliability under baseline conditions (from April 2006 to October 2018) and climate change conditions (from April 2021 to October 2033) have been formulated for such guidelines. Results revealed that under climate change circumstances, the river flow decreased by 0.17 percent of the baseline period, although the temperature was increased by 20% as well as the rainfall decreased by 21.1%. However, the extent of vulnerability variations in baseline and climate change was 16-45% and 10-43%, respectively. The range of reliability variations in baseline and climate change circumstances was 47-90% and 27-93%. The vulnerability has also been measured at 29 percent and 27 percent for baseline and climate change, respectively, with 75 percent reliability. The increase in release rates for climate change in comparison with baseline circumstances and higher modification of release rates from the reservoir to demand and stronger dam efficiency in changing circumstances showed the comparison of releases and the water shortage requirements for each of Pareto points.https://jhs.scu.ac.ir/article_15791_8236dc93fb340faa3f09d86bacd39d3b.pdfclimate changedecision making rulesfarmland fertility optimization algorithmreliabilityvulnerability |
| spellingShingle | Alireza Donyaii Amirpouya Sarraf Hassan Ahmadi Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir Journal of Hydraulic Structures climate change decision making rules farmland fertility optimization algorithm reliability vulnerability |
| title | Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir |
| title_full | Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir |
| title_fullStr | Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir |
| title_full_unstemmed | Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir |
| title_short | Application of a New Approach in Optimizing the Operation of the Multi-Objective Reservoir |
| title_sort | application of a new approach in optimizing the operation of the multi objective reservoir |
| topic | climate change decision making rules farmland fertility optimization algorithm reliability vulnerability |
| url | https://jhs.scu.ac.ir/article_15791_8236dc93fb340faa3f09d86bacd39d3b.pdf |
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