Abstract
Considering the risks in water resources systems, one of the most crucial management solutions is to try to understand the effects of climate change components on water resources in the future. For this purpose and according to the change in water supply and demand, the management of water resource exploitation should be different compared to the past, and a new approach should be adopted. Considering the effects of climate change in the last few years in the Eyvashan dam basin, the water cycle algorithm (WCA) and particle swarm optimization (PSO) have been used to optimize the use of the dam reservoir. Reliability, resiliency, and vulnerability criteria have been used to analyze the performance of algorithms. The maximum amount of deficiency in the Eyvashan dam reservoir in methods WCA and PSO is equal to 10.08 and 21.35, respectively, from 2020 to 2021. The values of consumption versus release performed by each algorithm show that the WCA algorithm provided an average of 92.6% of watershed consumption and the PSO algorithm provided 86.2% of this amount. Due to the flood of the 2018–2019 period, in both algorithms, the reservoir volume has exceeded the maximum reservoir volume of the dam, which has overflowed by 3 and 6 MCM in WCA and PSO algorithms, respectively. The results indicate that the amount of release obtained from the WCA algorithm is very close to the total downstream requirements of the studied dam and will be a suitable response to the downstream agricultural and environmental needs in climate change conditions. Also, the results show that the WCA algorithm has a good speed in finding the optimal solution so that the average objective function of the WCA and PSO models has increased by 9.4% and 11.1%, respectively, compared to the global optimal solution.
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The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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BB and TR contributed to the study conception and design. Material preparation, data collection, and analysis were performed by BB and TR. The first draft of the manuscript was written by behrang beiranvand. BB and TR read and approved the final manuscript.
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Appendix A. Annual rainfall in different stations of the study area 1990–2021
Appendix A. Annual rainfall in different stations of the study area 1990–2021
Station | Dehno | Zagheh | Kakareza | Station | Dehno | Zagheh | Kakareza |
|---|---|---|---|---|---|---|---|
1990–1991 | 318.0 | 564 | 344 | 2008–2009 | 461.9 | 525 | 548 |
1991–1992 | 389.2 | 442.2 | 675 | 2009–2010 | 525.0 | 577 | 485 |
1992–1993 | 425.1 | 671 | 662 | 2010–2011 | 429.0 | 401 | 514 |
1993–1994 | 428.6 | 462 | 401 | 2011–2012 | 438.0 | 669 | 575 |
1994–1995 | 402.5 | 844 | 594 | 2012–2013 | 385.3 | 698 | 389.3 |
1995–1996 | 412.6 | 682 | 601.2 | 2013–2014 | 428.0 | 559.3 | 534 |
1996–1997 | 262.1 | 257.5 | 146 | 2014–2015 | 477.5 | 563.2 | 536.2 |
1997–1998 | 395.9 | 496 | 535 | 2015–2016 | 467.8 | 572 | 645 |
1998–1999 | 446.3 | 749 | 422.1 | 2016–2017 | 549.0 | 436.5 | 679.2 |
1999–2000 | 435.0 | 754 | 412.5 | 2017–2018 | 560.0 | 658 | 650.2 |
2000–2001 | 462.5 | 747 | 509.3 | 2018–2019 | 654.0 | 985 | 681.7 |
2001–2002 | 468.3 | 840 | 231.6 | 2019–2020 | 598.0 | 546 | 436.2 |
2002–2003 | 498.0 | 738 | 512.6 | 2020–2021 | 552.3 | 568 | 653 |
2003–2004 | 506.5 | 726 | 365.3 | Mean | 426.2 | 667.8 | 434.8 |
2004–2005 | 548.0 | 675.2 | 410.2 | Max | 548.0 | 859.0 | 675.0 |
2005–2006 | 358.9 | 854.9 | 209.9 | Min | 262.1 | 257.5 | 146.0 |
2006–2007 | 460.3 | 659.3 | 326.2 | Max–min | 285.9 | 601.5 | 529.0 |
2007–2008 | 454.0 | 859 | 468 |
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Beiranvand, B., Rajaee, T. Optimization of reservoir operation at Eyvashan dam using the water cycle algorithm with the approach of water resource management in climate changes conditions. Sustain. Water Resour. Manag. 9, 98 (2023). https://doi.org/10.1007/s40899-023-00875-6
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DOI: https://doi.org/10.1007/s40899-023-00875-6