Development of operation policy for dry season reservoirs in tropical partially gauged river basins

ABSTRACT

The present investigations focus on developing an appropriate model for streamflow generation of a partially gauged basin and the operation of small storage in a tropical, seasonal river basin. The small storages created through the vented dams effectively conserve and sustain the water resources for the lean season. Hence, it is pertinent to develop streamflow models to derive streamflow series at the vented dam locations. In the present investigation, streamflow modelling was attempted using response surface and neural network models in a first of its kind. Out of them, the Response Surface Box Behnken model was found to be most efficient in generating streamflow, with Nash Sutcliff's efficiency above 0.617. Further, it is also essential to operate these small storages to maintain a sustainable, ecological flow in the river course. The operation policy for seasonal storage like vented dams is yet to be reported in the literature. The present work uses reservoir simulation and multi-objective optimisation to derive such storages operation policy through hedging operations, with modified shortage index and mean event deficit as objectives. The performance indicators evaluated the operation policy for eight vented dams of the basin. The results illustrate that vented dams indicate shortages while satisfying the respective demands. The results demonstrate that hedging improves the reservoir's performance by reducing the mean event deficit of 0.268–0.044 Mm³ before and after hedging. The frequency and intensity of shortages were also reduced through hedging for the tropical, seasonal river basins.

KEYWORDS:

• Hedging
• multi-objective framework
• neural network models
• seasonal reservoir operation
• response surface models
• vented dams

Acknowledgements

The first author wishes to thank the Director, CIIRC, for his support during the preparation of the manuscript. The authors are thankful to the Editorial Board and all the anonymous reviewers for their useful comments, which helped improve the paper's quality.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The research work is partly funded by the Ministry of Human Resource Development (MHRD), Government of India, which is gratefully acknowledged. The authors also wish to thank the Central Water Commission, New Delhi, and India Meteorological Department for providing the investigation data.