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WeightNameValue
1000 Titel
  • Implications of water management representations for watershed hydrologic modeling in the Yakima River basin
1000 Autor/in
  1. Qiu, Jiali |
  2. Yang, Qichun |
  3. Zhang, Xuesong |
  4. Huang, Maoyi |
  5. Adam, Jennifer C. |
  6. Malek, Keyvan |
1000 Erscheinungsjahr 2019
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-01-03
1000 Erschienen in
1000 Quellenangabe
  • 23(1):35-49
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/hess-23-35-2019 |
1000 Ergänzendes Material
  • https://www.hydrol-earth-syst-sci.net/23/35/2019/hess-23-35-2019-supplement.pdf |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Water management substantially alters natural regimes of streamflow through modifying retention time and water exchanges among different components of the terrestrial water cycle. Accurate simulation of water cycling in intensively managed watersheds, such as the Yakima River basin (YRB) in the Pacific Northwest of the US, faces challenges in reliably characterizing influences of management practices (e.g., reservoir operation and cropland irrigation) on the watershed hydrology. Using the Soil and Water Assessment Tool (SWAT) model, we evaluated streamflow simulations in the YRB based on different reservoir operation and irrigation schemes. Simulated streamflow with the reservoir operation scheme optimized by the RiverWare model better reproduced measured streamflow than the simulation using the default SWAT reservoir operation scheme. Scenarios with irrigation practices demonstrated higher water losses through evapotranspiration (ET) and matched benchmark data better than the scenario that only considered reservoir operations. Results of this study highlight the importance of reliably representing reservoir operations and irrigation management for credible modeling of watershed hydrology. The methods and findings presented here hold promise to enhance water resources assessment that can be applied to other intensively managed watersheds.
1000 Sacherschließung
lokal land-surface
lokal climate-change
lokal streamflow
lokal swat model
lokal calibration
lokal impacts
lokal irrigation
lokal geosciences multidisciplinary
lokal algorithms
lokal water resources
lokal reservoir
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/UWl1LCBKaWFsaQ==|https://frl.publisso.de/adhoc/uri/WWFuZywgUWljaHVu|https://orcid.org/0000-0003-4711-7751|https://orcid.org/0000-0001-9154-9485|https://frl.publisso.de/adhoc/uri/QWRhbSwgSmVubmlmZXIgQy4=|https://frl.publisso.de/adhoc/uri/TWFsZWssIEtleXZhbg==
1000 (Academic) Editor
1000 Label
1000 Förderer
  1. U.S. Department of Energy |
  2. National Science Foundation |
  3. Agricultural Research Service |
1000 Fördernummer
  1. -
  2. 1639458
  3. 2017-67004-26131
1000 Förderprogramm
  1. Multi-Sector Dynamics, Earth and Environmental Systems Modeling program
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer U.S. Department of Energy |
    1000 Förderprogramm Multi-Sector Dynamics, Earth and Environmental Systems Modeling program
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 1639458
  3. 1000 joinedFunding-child
    1000 Förderer Agricultural Research Service |
    1000 Förderprogramm -
    1000 Fördernummer 2017-67004-26131
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6418272.rdf
1000 Erstellt am 2019-12-17T15:08:59.079+0100
1000 Erstellt von 291
1000 beschreibt frl:6418272
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2020-03-23T07:31:45.990+0100
1000 Objekt bearb. Mon Mar 23 07:31:36 CET 2020
1000 Vgl. frl:6418272
1000 Oai Id
  1. oai:frl.publisso.de:frl:6418272 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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