A comparison of two hydrologic models for steeply sloping forested watersheds

Abdul Q. Khan, Lindell E. Ormsbee

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Both Clark's synthetic unit hydrograph method and the Extended Kinematic Storage Model are applied to three different steeply sloping watersheds in eastern Kentucky and West Virginia. While both models may be satisfactorily calibrated with the existing data base, only the Extended Kinematic Storage Model was able to survive a series of simple validation tests. The results of this study raise the issue of the universal applicability of the Hortonian runoff process and reinforce the need for operational models which reflect the actual flow mechanisms observed in the field.

Original languageEnglish
Pages (from-to)325-349
Number of pages25
JournalJournal of Hydrology
Volume109
Issue number3-4
DOIs
StatePublished - Aug 1989

Bibliographical note

Funding Information:
The work reported in this paper was supported in part by project A-104-KY, agreements 14-08-0001-G1019a nd 14-08-0001-G1227f rom the U.S. Department of Interior, and by the Civil Engineering Department, University of Kentucky. The authors gratefully acknowledge their support. The authors would like to thank Dr.'G.B. Coltharp, Forestry Department, University of Kentucky, for furnishing data for the Little Millseat watershed.

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

Funding

The work reported in this paper was supported in part by project A-104-KY, agreements 14-08-0001-G1019a nd 14-08-0001-G1227f rom the U.S. Department of Interior, and by the Civil Engineering Department, University of Kentucky. The authors gratefully acknowledge their support. The authors would like to thank Dr.'G.B. Coltharp, Forestry Department, University of Kentucky, for furnishing data for the Little Millseat watershed.

FundersFunder number
University of Kentucky Civil Engineering Department
U.S. Department of the Interior

    ASJC Scopus subject areas

    • Water Science and Technology

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