SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Optimisation of multipurpose reservoir operation by coupling Soil and Water Assessment Tool (SWAT) and genetic algorith for optimal operating policy (Case Study: Ganga River Basin) 
Authors:Anand, J., A.K. Gosain and R. Khosa 
Year:2018 
Journal:Sustainability 
Volume:10(5) 
Pages: 
Article ID:1660 
DOI:10.3390/su10051660 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:impoundment and/or wetland effects 
Secondary Application Category:hydrologic assessment 
Watershed Description:1,080,000 km^2 Ganga River, which drains much of northern India and portions of some bordering countries. 
Calibration Summary: 
Validation Summary: 
General Comments: 
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. 
Language:English 
Keywords:reservoir operation; SWAT; genetic algorithm; Ganga River