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Shenandoah Watershed Study: Calibration of a Topography‐Based, Variable Contributing Area Hydrological Model to a Small Forested Catchment

Shenandoah Watershed Study: Calibration of a Topography‐Based, Variable Contributing Area... The topography‐based, variable contributing area model of catchment hydrology of K. J. Beven and E. F. Wood (1983) was adapted for continuous simulation and extended to take account of observed processes in White Oak Run, a small forested catchment in Shenandoah National Park, Virginia. Automatic calibration of the model was attempted using eight different objective functions. All objective functions were indifferent to many of the model parameters and thus parameter estimation could not be done reliably. On the basis of results from a regionalized sensitivity analysis, the original model structure was greatly simplified. The parameters of the simplified model, which produced fits to the measured data very nearly as good as did the more complex model, were estimated well using a sum of squared errors criterion. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Shenandoah Watershed Study: Calibration of a Topography‐Based, Variable Contributing Area Hydrological Model to a Small Forested Catchment

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References (24)

Publisher
Wiley
Copyright
Copyright © 1985 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
DOI
10.1029/WR021i012p01841
Publisher site
See Article on Publisher Site

Abstract

The topography‐based, variable contributing area model of catchment hydrology of K. J. Beven and E. F. Wood (1983) was adapted for continuous simulation and extended to take account of observed processes in White Oak Run, a small forested catchment in Shenandoah National Park, Virginia. Automatic calibration of the model was attempted using eight different objective functions. All objective functions were indifferent to many of the model parameters and thus parameter estimation could not be done reliably. On the basis of results from a regionalized sensitivity analysis, the original model structure was greatly simplified. The parameters of the simplified model, which produced fits to the measured data very nearly as good as did the more complex model, were estimated well using a sum of squared errors criterion.

Journal

Water Resources ResearchWiley

Published: Dec 1, 1985

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