Improved Drought Management of Falls Lake Reservoir: Role of Multimodel Streamflow Forecasts in Setting up Restrictions
Publication: Journal of Water Resources Planning and Management
Volume 135, Issue 3
Abstract
Droughts, resulting from natural variability in supply and from increased demand due to urbanization, have severe economic implications on local and regional water supply systems. In the context of short-term (monthly to seasonal) water management, predicting these supply variations well in advance are essential in advocating appropriate conservation measures before the onset of drought. In this study, we utilized ahead probabilistic multimodel streamflow forecasts developed using climatic information—sea surface temperature conditions in the tropical Pacific, tropical Atlantic, and over the North Carolina coast—to invoke restrictions for Falls Lake Reservoir in the Neuse River Basin, N.C. Multimodel streamflow forecasts developed from two single models, a parametric regression approach and semiparametric resampling approach, are forced with a reservoir management model that takes ensembles to estimate the reliability of meeting the water quality and water supply releases and the end of the season target storage. The analyses show that the entire seasonal releases for water supply and water quality uses could be met purely based on the initial storages (100% reliability of supply), thereby limiting the use of forecasts. The study suggests that, by constraining the end of the season target storage conditions being met with high probability, the climate information based streamflow forecasts could be utilized for invoking restrictions during below-normal inflow years. Further, multimodel forecasts perform better in detecting the below-normal inflow conditions in comparison to single model forecasts by reducing false alarms and missed targets which could improve public confidence in utilizing climate forecasts for developing proactive water management strategies.
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Acknowledgments
This study was supported by the North Carolina Water Resources Research Institute. The writers also would like to thank the three anonymous reviewers and the editor whose valuable comments led to significant improvements in the manuscript. Thanks to Tom Fransen, NC DENR and Terry Brown, USACE for sharing Falls Lake inflow data used in this study.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 135 • Issue 3 • May 2009
Pages: 188 - 197
Copyright
© 2009 ASCE.
History
Received: Dec 5, 2007
Accepted: Jul 23, 2008
Published online: May 1, 2009
Published in print: May 2009
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