Journal of Watershed Management Research

Mendeley  

Zotero  

Donyaii A, Sarraf A, Ahmadi H. (2021). Operation of the of Golestan Dam Reservoir in Climate Change Conditions Using an Improved Multi-Objective Whale Optimization Algorithm. J Watershed Manage Res. 12(23), 238-250. doi:10.52547/jwmr.12.23.238
URL: http://jwmr.sanru.ac.ir/article-1-1085-en.html

TThe amount of runoff entering the dam’s reservoirs are continuously affected by climatic parameters, which influenced by the climate change phenomenon. In this study, the climate change parameters were obtained based on CANESM2 climate model using the SDSM4.2 statistical downscaling model. Then the rainfall-runoff process was simulated by ANFIS model with Sugeno structure and subtractive clustering at the entrance of Golestan dam reservoir in climate change conditions. Finally, the Improved Multi-Objective Whale Optimization Algorithm (MOIWOA) which is a combination of Whale V (WOA) and the Differential Evolution (DE) is used to extract the optimal operation rules of Golestan Dam Reservoir in Golestan province. The results of the uncertainty analysis indicated that the simulation results of the climate change period were in the 95% confidence band - in both calibration and validation phases. Also optimization of Golestan reservoir in baseline (March 2005-September 2018) and climate change (April 2021-October 2033) periods showed that the vulnerability changes in the baseline and climate changes are in the range of 18-45% and 10-39%, respectively, and the reliability ranges over 52 to 89.5% and 28 to 90%, respectively, in both baseline and climate change phases. And for 80% reliability, the baseline and climate change conditions' vulnerability are obtained as 31% and 27%, respectively. Comparison of the optimal rules derived from the baseline conditions with the optimized ones from the climate change showed that the plan water demand is met by 80% reliability index. In addition, the release volume in climate change conditions is higher than its baseline one, which can be due to the increased volume of water demand in climate change conditions. On the other hand, comparing the performance of the reservoir to meet the irrigation demands of downstream land at the Pareto point (80% reliability) in terms of baseline and climate change also suggests a greater adaptation of reservoir release to demand in climate change period.