globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-2711-2020
论文题名:
Comparison of generalized non-data-driven lake and reservoir routing models for global-scale hydrologic forecasting of reservoir outflow at diurnal time steps
作者: L. Gutenson J.; A. Tavakoly A.; D. Wahl M.; L. Follum M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:5
起始页码: 2711
结束页码: 2729
语种: 英语
Scopus关键词: Forecasting ; Lakes ; Sensitivity analysis ; Empirical coefficients ; Hydrologic forecasting ; Hydrologic modeling ; Lake sand reservoirs ; Large spatial scale ; Operational complexity ; Reservoir outflows ; Temporal resolution ; Reservoirs (water) ; comparative study ; flow regulation ; hydrological modeling ; lake ; outflow ; reservoir
英文摘要: Large-scale hydrologic forecasts should account for attenuation through lakes and reservoirs when flow regulation is present. Globally generalized methods for approximating outflow are required but must contend with operational complexity and a dearth of information on dam characteristics at global spatial scales. There is currently no consensus on the best approach for approximating reservoir release rates in large spatial scale hydrologic forecasting, particularly at diurnal time steps. This research compares two parsimonious reservoir routing methods at daily steps: Döll et al. (2003) and Hanasaki et al. (2006). These reservoir routing methods have been previously implemented in large-scale hydrologic modeling applications and have been typically evaluated seasonally. These routing methods are compared across 60 reservoirs operated by the U.S. Army Corps of Engineers. The authors vary empirical coefficients for both reservoir routing methods as part of a sensitivity analysis. The method proposed by Döll et al. (2003) outperformed that presented by Hanasaki et al. (2006) at a daily time step and improved model skill over most run-of-the-river conditions. The temporal resolution of the model influences model performances. The optimal model coefficients varied across the reservoirs in this study and model performance fluctuates between wet years and dry years, and for different configurations such as dams in series. Overall, the method proposed by Döll et al. (2003) could enhance large-scale hydrologic forecasting, but can be subject to instability under certain conditions. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162684
Appears in Collections:气候变化与战略

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作者单位: L. Gutenson, J., Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Rd., Vicksburg, MS 39180, United States, National Water Center, National Oceanic and Atmospheric Administration, 205 Hackberry Ln, Tuscaloosa, AL 35401, United States; A. Tavakoly, A., Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Rd., Vicksburg, MS 39180, United States, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, United States; D. Wahl, M., Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Rd., Vicksburg, MS 39180, United States; L. Follum, M., Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Rd., Vicksburg, MS 39180, United States, Wyoming Area Office, US Bureau of Reclamation, 705 Pendell Blvd., Mills, WY 82644, United States

Recommended Citation:
L. Gutenson J.,A. Tavakoly A.,D. Wahl M.,et al. Comparison of generalized non-data-driven lake and reservoir routing models for global-scale hydrologic forecasting of reservoir outflow at diurnal time steps[J]. Hydrology and Earth System Sciences,2020-01-01,24(5)
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