Management of Reservoir Operation System under Climate Change Conditions Using Dolphin Echolocation Optimization Algorithm

In the present study, a multi-objective Dolphin Echolocation Algorithm (MODEA) was used to derive optimized operation rules of Gavoshan dam in kermanshah province under climate change conditions. These rules were extracted for the two purposes of minimizing vulnerability and maximizing reliability indices under the baseline i.e., April 2007 to October 2019 and climate change conditions i.e., April 2040 to October 2052. Results showed that under climate change conditions, in addition to increasing temperature by 1.8 degrees Celsius and decreasing in precipitation by 20.1%, the runoff would also be reduced to 0.69 related to the baseline period. Moreover, vulnerability changes by 18% to 45% and 10% to 39% in baseline and climate change conditions respectively, and the range of reliability changes by 52% to 89.5% and 28% to 90%, under these conditions, respectively. Comparison of the release and the water demand volume under climate change to the baseline conditions -based on the Pareto point with 80% reliability while increasing the release rate- indicates a greater adaptation of the release rate from the reservoir to the demand volume and a better performance of the reservoir under climate change conditions.