Maximizing Sustainability in Reservoir Operation under Climate Change Using a Novel Adaptive Accelerated Gravitational Search Algorithm

Water

Hamid R. Safavi¹  Farshad Rezaei¹  Sahar Kamran¹  Mohammad H. Golmohammadi¹  Mohamed Abd Elaziz²  Agostino Forestiero³  Songfeng Lu⁴ 

[1] Department of Civil Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran;Faculty of Computer Science & Engineering, Galala University, Suze 435611, Egypt;Institute for High Performance Computing and Networking, National Research Council, 87036 Rende (CS), Italy;School of Cyber Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;

关键词: optimization;    gravitational search algorithm (GSA);    reservoir operation;    climate change;    HEC-HMS;   

DOI  :  10.3390/w14060905

来源: DOAJ

【 摘 要 】

Holding a lasting balance between the water resources and water demands has become a challenging task for water resources managers, especially in recent years with the looming global warming crisis and its resulting climatic change effects. This paper focuses on modeling the optimized operation of the Zayandehrud Reservoir, located in west-central Iran, under two fifth-generation climate change scenarios called RCP4.5 and RCP8.5. A novel variant of the gravitational search algorithm (GSA), named the adaptive accelerated GSA (AAGSA) is proposed and adopted as the optimizer of the reservoir operation in this paper. The major advancement of the AAGSA against the original GSA is its high exploration capability, allowing the proposal to effectively tackle a variety of difficulties any complex optimization problem can face. The goal of the optimization process is the maximization of the sustainability of supplying the downstream water demands by the reservoir. The optimal results obtained by the original GSA and the proposed AAGSA algorithms suggest that the AAGSA can achieve much more accurate results with much less computational runtime, such that the proposed AAGSA is able to achieve the reservoir operation sustainability index of 98.53% and 99.46%, under RCP4.5 and RCP8.5 scenarios, respectively. These figures are higher than those obtained by the original GSA by 23.5% and 16% under RCP4.5 and RCP8.5, respectively, while the runtime of the proposal is reduced by over 80% in both scenarios, as compared to the GSA, suggesting the high competence of the proposed AAGSA to solve such a high-dimensional and complex real-world engineering problem.

【 授权许可】

Unknown