Simulation and optimization of Lar Dam reservoir storage under climate change conditions
In this research, A 15-year impact of climate change in Lar Dam has been investigated. The results showed that in the case of climate change under three scenarios, Tmax and the Tmin have increased by 5, 5.23, 6.2% and 3.5, 5.6, 5.17%, respectively, and the amount of precipitation increased by 8.55,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-12-01
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| Series: | Journal of Water and Climate Change |
| Subjects: | |
| Online Access: | http://jwcc.iwaponline.com/content/14/12/4336 |
| _version_ | 1797202765318979584 |
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| author | Hediyeh Sadeghijou Amirpouya Sarraf Hassan Ahmadi |
| author_facet | Hediyeh Sadeghijou Amirpouya Sarraf Hassan Ahmadi |
| author_sort | Hediyeh Sadeghijou |
| collection | DOAJ |
| description | In this research, A 15-year impact of climate change in Lar Dam has been investigated. The results showed that in the case of climate change under three scenarios, Tmax and the Tmin have increased by 5, 5.23, 6.2% and 3.5, 5.6, 5.17%, respectively, and the amount of precipitation increased by 8.55, 9.5, 13%, respectively. Also, the highest rainfall will be in 2031 and the lowest will be in 2036. Based on the intermediate state of the scenarios, the amount of runoff was obtained and the reliability index was calculated according to the upstream runoff and downstream needs for drinking, agriculture, and environment. The simulation was also performed in the WEAP model. The findings showed that the highest reliability was 86.60% of the agriculture, and by using the optimization of a honey badger and Harmony Search Algorithm, it was found that the reliability is approximately 5.06 and 1.73% higher than the simulation. In comparison with the optimization algorithms, due to the smaller value of the objective function of the HBA and the greater reliability of it, the result showed that performance of this algorithm was better and it has a faster calculation.
HIGHLIGHT
These methods have been used for the first time. Forecasts are based on the impact of climatic parameters on the future situation and the latest algorithm. The predicted data have been generated based on real daily data, and using validation and re-calibration of the model, the results have been obtained. Optimization was done using several meta-heuristic algorithms and the definition of the objective function.; |
| first_indexed | 2024-03-08T17:45:15Z |
| format | Article |
| id | doaj.art-b83365fb563c44c2b76b2e36a44f1141 |
| institution | Directory Open Access Journal |
| issn | 2040-2244 2408-9354 |
| language | English |
| last_indexed | 2024-04-24T08:08:38Z |
| publishDate | 2023-12-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Climate Change |
| spelling | doaj.art-b83365fb563c44c2b76b2e36a44f11412024-04-17T08:40:30ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542023-12-0114124336435510.2166/wcc.2023.225225Simulation and optimization of Lar Dam reservoir storage under climate change conditionsHediyeh Sadeghijou0Amirpouya Sarraf1Hassan Ahmadi2 Civil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, Iran Civil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, Iran Civil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, Iran In this research, A 15-year impact of climate change in Lar Dam has been investigated. The results showed that in the case of climate change under three scenarios, Tmax and the Tmin have increased by 5, 5.23, 6.2% and 3.5, 5.6, 5.17%, respectively, and the amount of precipitation increased by 8.55, 9.5, 13%, respectively. Also, the highest rainfall will be in 2031 and the lowest will be in 2036. Based on the intermediate state of the scenarios, the amount of runoff was obtained and the reliability index was calculated according to the upstream runoff and downstream needs for drinking, agriculture, and environment. The simulation was also performed in the WEAP model. The findings showed that the highest reliability was 86.60% of the agriculture, and by using the optimization of a honey badger and Harmony Search Algorithm, it was found that the reliability is approximately 5.06 and 1.73% higher than the simulation. In comparison with the optimization algorithms, due to the smaller value of the objective function of the HBA and the greater reliability of it, the result showed that performance of this algorithm was better and it has a faster calculation. HIGHLIGHT These methods have been used for the first time. Forecasts are based on the impact of climatic parameters on the future situation and the latest algorithm. The predicted data have been generated based on real daily data, and using validation and re-calibration of the model, the results have been obtained. Optimization was done using several meta-heuristic algorithms and the definition of the objective function.;http://jwcc.iwaponline.com/content/14/12/4336climate changeclimate scenariosharmony search algorithmhoney badger algorithmweap model |
| spellingShingle | Hediyeh Sadeghijou Amirpouya Sarraf Hassan Ahmadi Simulation and optimization of Lar Dam reservoir storage under climate change conditions Journal of Water and Climate Change climate change climate scenarios harmony search algorithm honey badger algorithm weap model |
| title | Simulation and optimization of Lar Dam reservoir storage under climate change conditions |
| title_full | Simulation and optimization of Lar Dam reservoir storage under climate change conditions |
| title_fullStr | Simulation and optimization of Lar Dam reservoir storage under climate change conditions |
| title_full_unstemmed | Simulation and optimization of Lar Dam reservoir storage under climate change conditions |
| title_short | Simulation and optimization of Lar Dam reservoir storage under climate change conditions |
| title_sort | simulation and optimization of lar dam reservoir storage under climate change conditions |
| topic | climate change climate scenarios harmony search algorithm honey badger algorithm weap model |
| url | http://jwcc.iwaponline.com/content/14/12/4336 |
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