Simulating river regulation and reservoir performance in a continental-scale hydrologic model. (July 2021)

• Record Type: Journal Article
• Authors: Tefs, A.A.G.; Stadnyk, T.A.; Koenig, K.A.; Déry, S.J.; MacDonald, M.K.; Slota, P.; Crawford, J.; Hamilton, M.
• Is Part Of: Environmental modelling & software. Volume 141(2021)
• Publication Date: 2021-07
• Subjects: Hydrologic modelling -- Hydroelectric regulation -- Hudson bay; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105025
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: This study develops a novel reservoir regulation routine, incorporated into a continental-scale hydrologic model in the Nelson, Churchill, Yenisey, Ob, and Lena basins. This regulation routine is integrated into the Hydrological Predictions for the Environment (HYPE) hydrologic model, used for continental-scale applications. Applying this daily timestep regulation routine at 19 reservoirs in the Arctic Ocean watershed, performance is shown to improve upon the reservoir regulation currently available in the HYPE model when testing outflow and storage Nash Sutcliffe Efficiencies (NSEs). Improvements stem from intra-annually variable storage rule curves and a variety of stage-dependent outflow functions, improving simulation skill (median NSE increases of 0.18 over 21 reservoir outflow records and 0.49 over 19 reservoir storage records). This new, reservoir regulation routine is suitable for continental-scale modelling by deriving varying, rather than fixed, threshold water surface levels and associated outflow rules in a programmatic way for multiple reservoirs. Highlights: Intra-annually variable target storage thresholds improve reservoir outflow and storage skill. Reservoir regulation skill can be improved with minimal physical data required. Using storage and outflow performance to select optima improves modelled results.