Refining a Distributed Linear Reservoir Routing Method to Improve Performance of the CREST Model
Publication: Journal of Hydrologic Engineering
Volume 22, Issue 3
Abstract
As one of the most important components of hydrologic models, routing module determines model performance to a large degree. In this study, the authors proposed a fully distributed linear reservoir routing scheme that is more compatible to fully distributed hydrologic models than the previous version of the cell-to-cell routing scheme proposed in the coupled routing and excess storage (CREST) model. The new scheme effectively solves issues existing in the previous version of the cell-to-cell routing scheme in CREST, including the tendency to underestimate channel flow and discontinuous flow values along the river after storms. Tested over three basins with two in the United States and one in China at spatial resolutions from 250 m to 1 km and temporal resolutions from hourly to daily, the proposed scheme is proved spatiotemporal scalable. At daily scale, the Nash-Sutcliffe coefficient (NSCE), correlation coefficient (CC), and absolute relative bias range from 0.65, 0.82, and 10.3% to 0.90, 0.95, and 1.57% in the three tested basins respectively. At hourly scale, CREST v2.1 successfully replicated 11 out of 12 flood events during 2002–2013 in the Tar and Kankakee Rivers with mean NSCE, CC, and absolute differences of peaks being (0.78, 0.95, and 10.9%).
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Acknowledgments
This research is partially jointly supported by the open fund project, NDRCCPICC201302, “Forecast and Pre-assessment of Flooding Hazard Risk based on Distributed Hydrological Model,” General Program of the Natural Science Foundation of China, No. 41471430, “Drought monitoring through integrating distributed hydrological and microwave remote sensing models,” and also supplemented by HyDROS Lab at the University of Oklahoma.
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Published In
Journal of Hydrologic Engineering
Volume 22 • Issue 3 • March 2017
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Oct 13, 2015
Accepted: Jun 14, 2016
Published online: Oct 25, 2016
Published in print: Mar 1, 2017
Discussion open until: Mar 25, 2017
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