Water storage and release policies for all large reservoirs of conterminous United States
dc.contributor.author | Turner, Sean W.D. | |
dc.contributor.author | Steyaert, Jennie Clarice | |
dc.contributor.author | Condon, Laura | |
dc.contributor.author | Voisin, Nathalie | |
dc.date.accessioned | 2021-09-21T23:57:33Z | |
dc.date.available | 2021-09-21T23:57:33Z | |
dc.date.issued | 2021-12 | |
dc.identifier.citation | Turner, S. W. D., Steyaert, J. C., Condon, L., & Voisin, N. (2021). Water storage and release policies for all large reservoirs of conterminous United States. Journal of Hydrology, 603. | en_US |
dc.identifier.issn | 0022-1694 | |
dc.identifier.doi | 10.1016/j.jhydrol.2021.126843 | |
dc.identifier.uri | http://hdl.handle.net/10150/661851 | |
dc.description.abstract | Large-scale hydrological and water resource models (LHMs) require water storage and release schemes to represent flow regulation by reservoirs. Owing to a lack of observed reservoir operations, state-of-the-art LHMs deploy a generic reservoir scheme that may fail to represent local operating behaviors. Here we introduce a new dataset of bespoke water storage and release policies for 1,930 reservoirs of conterminous United States. The Inferred Storage Targets and Release Functions (ISTARF-CONUS) dataset relies on a new inventory of observed daily reservoir operations (ResOpsUS) to generate reservoir operating rules for 595 data-rich reservoirs. These functions are developed in a standardized form that allows for extrapolation of operating schemes to 1,335 data-scarce reservoirs—leading to the first inventory of empirically derived reservoir operating policies for all large CONUS reservoirs documented in the Global Reservoir and Dams (GRanD) database. Evaluation of the new scheme in daily simulations forced with observed inflow demonstrates substantial and robust improvement for both release and storage relative to the popular Hanasaki method. Performance of the extrapolation approach for data-scarce reservoirs is evaluated with leave-one-out validation and is shown to also offer modest gains on average over Hanasaki. ISTARF-CONUS may be readily adopted in any LHM featuring large reservoirs of the conterminous United States. | en_US |
dc.description.sponsorship | U.S. Department of Energy | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.rights | © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.subject | dams | en_US |
dc.subject | Data-driven | en_US |
dc.subject | Large scale hydrology | en_US |
dc.subject | Reservoir operations | en_US |
dc.subject | Water management | en_US |
dc.title | Water storage and release policies for all large reservoirs of conterminous United States | en_US |
dc.type | Article | en_US |
dc.contributor.department | University of Arizona | en_US |
dc.identifier.journal | Journal of Hydrology | en_US |
dc.description.note | Open access article | en_US |
dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en_US |
dc.eprint.version | Final published version | en_US |
dc.identifier.pii | S0022169421008933 | |
dc.source.journaltitle | Journal of Hydrology | |
dc.source.volume | 603 | |
dc.source.beginpage | 126843 | |
refterms.dateFOA | 2021-09-22T01:10:29Z |