Optimisation of Multipurpose Reservoir Operation by Coupling Soil and Water Assessment Tool (SWAT) and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River Basin)

Abstract

Reservoirs are recognized as one of the most efficient infrastructure components in integrated water resources management. At present, with the ongoing advancement of social economy and requirement of water, the water resources shortage problem has worsened, and the operation of reservoirs, in terms of consumption of flood water, has become significantly important. To achieve optimal reservoirs operating policies, a considerable amount of optimization and simulation models have been introduced in the course of recent years. Subsequently, the assessment and estimation that is associated with the operation of reservoir stays conventional. In the present study, the Soil and Water Assessment Tool (SWAT) models and a Genetic Algorithm model has been employed to two reservoirs in Ganga River basin, India in order to obtain the optimal reservoir operational policies. The objective function has been added to reduce the yearly sum of squared deviation from preferred storage capacity and required release for the irrigation purpose. The rule curves that were estimated via random search have been discovered to be consistent with that of demand requests. Thus, in the present case study, on the basis of the generated result, it has been concluded that GA-derived optimal reservoir operation rules are competitive and promising, and can be efficiently used for the derivation of operation of the reservoir.

Climate Change Implications for Water Availability: A Case Study of Barcelona City

“…One of the criteria for proper reservoir management as part of a water supply system is the rigorous design and implementation of the guidelines of reservoir operation along with environmental planning, allowing management to have the tools to cope with growing climate change influence on water scarcity [8]. Reservoir operation is "a large-scale multi-objective optimization problem" [9]. Therefore, this paper contributes to the understanding of the hydrological process in the Barcelona water supply reservoir system under climate change influence, as one of the factors involved in this process.…”

Evaluation of Data-Driven and Process-Based Real-Time Flow Forecasting Techniques for Informing Operation of Surface Water Abstraction

“…This can include a multiobjective optimization algorithms coupled with real-time models and environmental data to help inform coordinated multipurpose operations of reservoir systems that consider various factors, such as flood control, water supply, and environmental requirements, along with energy costs. Most current studies in the literature pertaining to the optimization of operations of multireservoir systems focus on restoring flows for downstream ecosystems (e.g., Mao et al 2016) or maximizing the potential of hydropower generation (e.g., Anand et al 2018;Ahmadianfar et al 2019).…”

Optimization of Dam Reservoir Operation Using Grey Wolf Optimization and Genetic Algorithms (A Case Study of Taleghan Dam)

“…The results of GA showed that it could act as a suitable option in optimization problems. Ghadami et al [11] developed a plan for optimal use of the multireservoir system in north of Khorasan for agricultural usage using GA. In this model, the most appropriate algorithm was determined for dam reservoir operation based on certain values of state variables including flow volume at the beginning of the year and river's water during agricultural season.…”