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| Titel |
Predicting streamflows in snowmelt-driven watersheds using the flow duration curve method |
| VerfasserIn |
D. Kim, J. Kaluarachchi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 5 ; Nr. 18, no. 5 (2014-05-09), S.1679-1693 |
| Datensatznummer |
250120351
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| Publikation (Nr.) |
 copernicus.org/hess-18-1679-2014.pdf |
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| Zusammenfassung |
| Predicting streamflows in snow-fed watersheds in the Western United States is
important for water allocation. Since many of these watersheds are heavily
regulated through canal networks and reservoirs, predicting expected natural
flows and therefore water availability under limited data is always a
challenge. This study investigates the applicability of the flow duration
curve (FDC) method for predicting natural flows in gauged and regulated
snow-fed watersheds. Point snow observations, air temperature, precipitation,
and snow water equivalent were used to simulate the snowmelt process with the
SNOW-17 model, and extended to streamflow simulation using the FDC method
with a modified current precipitation index. For regulated watersheds, a
parametric regional FDC method was applied to reconstruct natural flow. For
comparison, a simplified tank model was used considering both lumped and
semi-distributed approaches. The proximity regionalization method was used to
simulate streamflows in the regulated watersheds with the tank model. The
results showed that the FDC method is capable of producing satisfactory
natural flow estimates in gauged watersheds when high correlation exists
between current precipitation index and streamflow. For regulated watersheds,
the regional FDC method produced acceptable river diversion estimates, but it
seemed to have more uncertainty due to less robustness of the FDC method. In
spite of its simplicity, the FDC method is a practical approach with less
computational burden for studies with minimal data availability. |
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