Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France
Multiple reservoir operation is of paramount importance due to tradeoffs in water supply and their cost functions. Understanding this complexity is important for optimizing water supply and increasing synergies gained from the joint operation. Therefore, this study aimed to develop a conceptual fram...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/9/1732 |
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| author | Quan Van Dau Anongrit Kangrang Kittiwet Kuntiyawichai |
| author_facet | Quan Van Dau Anongrit Kangrang Kittiwet Kuntiyawichai |
| author_sort | Quan Van Dau |
| collection | DOAJ |
| description | Multiple reservoir operation is of paramount importance due to tradeoffs in water supply and their cost functions. Understanding this complexity is important for optimizing water supply and increasing synergies gained from the joint operation. Therefore, this study aimed to develop a conceptual framework for addressing the effects of climate change on water security under the operating rules of the multiple reservoir system in northern France. A dynamic programming approach (DP) was employed to find the cost–benefit analysis that best fit with the objectives of reservoir operation, while the space rule was applied to balance the available space in each reservoir of a parallel system. A finite-horizon optimal regulation was then adopted for determining daily reservoir storage based on probability-based rule curves. The results indicated that the predicted inflow during the drawdown–refill cycle period to the Marne and Pannecière reservoirs would be the largest and lowest, respectively. The proposed upper rule curves during high-flow conditions suggested that the release from Aube reservoir should be postponed from July to August until September. At 50- and 100-year return periods, quite a high release rate from Seine and Marne reservoirs was observed during the dry season. A decrease in future water supply from Pannecière reservoir was found during summer, while the withdrawal in November could cause excessive water in the Seine tributary and Paris City. Under low-flow conditions in all return periods, the proposed lower rule curves recommended that the reservoir storage should go below the current operating rule, with a clear difference in July (the largest in Marne and the smallest in Pannecière) and almost no difference in November. Moreover, the web-based support system IRMaRA was developed for revising operating rules of four main reservoirs located in the Seine River Basin. The novelty of this modeling framework would contribute to the practice of deriving optimal operating rules for a multi-reservoir system by the probability-based rule curve method. Based on the evaluation of the effects of applying the estimated reservoir storage capacity under different return periods, both less overflow and water shortage represented by different levels of quantity and severity can be expected compared to the existing target storage at specified control points. Finally, the obtained finding revealed that the application of dynamic programming for reservoir optimization would help in developing a robust operating policy for tackling the effects of climate change. |
| first_indexed | 2024-03-11T04:03:27Z |
| format | Article |
| id | doaj.art-34df1940b2074f3c9ebc91a0f8667cdb |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T04:03:27Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-34df1940b2074f3c9ebc91a0f8667cdb2023-11-17T23:57:45ZengMDPI AGWater2073-44412023-04-01159173210.3390/w15091732Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, FranceQuan Van Dau0Anongrit Kangrang1Kittiwet Kuntiyawichai2Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St. Peter’s Bay, PE C0A 2A0, CanadaFaculty of Engineering, Mahasarakham University, Kantharawichai District, Maha Sarakham 44150, ThailandSustainable Infrastructure Research and Development Center, Department of Civil Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, ThailandMultiple reservoir operation is of paramount importance due to tradeoffs in water supply and their cost functions. Understanding this complexity is important for optimizing water supply and increasing synergies gained from the joint operation. Therefore, this study aimed to develop a conceptual framework for addressing the effects of climate change on water security under the operating rules of the multiple reservoir system in northern France. A dynamic programming approach (DP) was employed to find the cost–benefit analysis that best fit with the objectives of reservoir operation, while the space rule was applied to balance the available space in each reservoir of a parallel system. A finite-horizon optimal regulation was then adopted for determining daily reservoir storage based on probability-based rule curves. The results indicated that the predicted inflow during the drawdown–refill cycle period to the Marne and Pannecière reservoirs would be the largest and lowest, respectively. The proposed upper rule curves during high-flow conditions suggested that the release from Aube reservoir should be postponed from July to August until September. At 50- and 100-year return periods, quite a high release rate from Seine and Marne reservoirs was observed during the dry season. A decrease in future water supply from Pannecière reservoir was found during summer, while the withdrawal in November could cause excessive water in the Seine tributary and Paris City. Under low-flow conditions in all return periods, the proposed lower rule curves recommended that the reservoir storage should go below the current operating rule, with a clear difference in July (the largest in Marne and the smallest in Pannecière) and almost no difference in November. Moreover, the web-based support system IRMaRA was developed for revising operating rules of four main reservoirs located in the Seine River Basin. The novelty of this modeling framework would contribute to the practice of deriving optimal operating rules for a multi-reservoir system by the probability-based rule curve method. Based on the evaluation of the effects of applying the estimated reservoir storage capacity under different return periods, both less overflow and water shortage represented by different levels of quantity and severity can be expected compared to the existing target storage at specified control points. Finally, the obtained finding revealed that the application of dynamic programming for reservoir optimization would help in developing a robust operating policy for tackling the effects of climate change.https://www.mdpi.com/2073-4441/15/9/1732reservoir operationdynamic programmingspace ruleprobability-based rule curvesmultiple reservoir systemclimate change |
| spellingShingle | Quan Van Dau Anongrit Kangrang Kittiwet Kuntiyawichai Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France Water reservoir operation dynamic programming space rule probability-based rule curves multiple reservoir system climate change |
| title | Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France |
| title_full | Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France |
| title_fullStr | Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France |
| title_full_unstemmed | Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France |
| title_short | Probability-Based Rule Curves for Multi-Purpose Reservoir System in the Seine River Basin, France |
| title_sort | probability based rule curves for multi purpose reservoir system in the seine river basin france |
| topic | reservoir operation dynamic programming space rule probability-based rule curves multiple reservoir system climate change |
| url | https://www.mdpi.com/2073-4441/15/9/1732 |
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