Next Article in Journal
The Impact of Automation on Employment: Just the Usual Structural Change?
Next Article in Special Issue
Impact of Climate Change on Daily Streamflow and Its Extreme Values in Pacific Island Watersheds
Previous Article in Journal
A Simulation of Rainwater Harvesting Design and Demand-Side Controls for Large Hospitals
Previous Article in Special Issue
Diagnosis and Treatment of the SWAT Hydrological Response Using the Budyko Framework
Open AccessArticle

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)

Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(5), 1660; https://doi.org/10.3390/su10051660
Received: 2 April 2018 / Revised: 9 May 2018 / Accepted: 9 May 2018 / Published: 21 May 2018
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. View Full-Text
Keywords: reservoir operation; SWAT; genetic algorithm; Ganga River reservoir operation; SWAT; genetic algorithm; Ganga River
Show Figures

Figure 1

MDPI and ACS Style

Anand, J.; Gosain, A.K.; Khosa, R. 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). Sustainability 2018, 10, 1660. https://doi.org/10.3390/su10051660

AMA Style

Anand J, Gosain AK, Khosa R. 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). Sustainability. 2018; 10(5):1660. https://doi.org/10.3390/su10051660

Chicago/Turabian Style

Anand, Jatin; Gosain, Ashvani K.; Khosa, Rakesh. 2018. "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)" Sustainability 10, no. 5: 1660. https://doi.org/10.3390/su10051660

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop