دورية أكاديمية
Comparison of generalized non-data-driven lake and reservoir routing models for global-scale hydrologic forecasting of reservoir outflow at diurnal time steps
| العنوان: | Comparison of generalized non-data-driven lake and reservoir routing models for global-scale hydrologic forecasting of reservoir outflow at diurnal time steps |
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| المؤلفون: | J. L. Gutenson, A. A. Tavakoly, M. D. Wahl, M. L. Follum |
| المصدر: | Hydrology and Earth System Sciences, Vol 24, Pp 2711-2729 (2020) |
| بيانات النشر: | Copernicus Publications, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Technology LCC:Environmental technology. Sanitary engineering LCC:Geography. Anthropology. Recreation LCC:Environmental sciences |
| مصطلحات موضوعية: | Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2711-2020 1027-5606 1607-7938 |
| Relation: | https://www.hydrol-earth-syst-sci.net/24/2711/2020/hess-24-2711-2020.pdf; https://doaj.org/toc/1027-5606; https://doaj.org/toc/1607-7938 |
| DOI: | 10.5194/hess-24-2711-2020 |
| URL الوصول: | https://doaj.org/article/5e30f3a528634a75b699beeafd0f8f5f |
| رقم الأكسشن: | edsdoj.5e30f3a528634a75b699beeafd0f8f5f |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 27112020 10275606 16077938 |
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| DOI: | 10.5194/hess-24-2711-2020 |