TECHNICAL NOTES
Feb 1, 2009

Event and Continuous Hydrologic Modeling with HEC-HMS

Publication: Journal of Irrigation and Drainage Engineering
Volume 135, Issue 1

Abstract

Event hydrologic modeling reveals how a basin responds to an individual rainfall event (e.g., quantity of surface runoff, peak, timing of the peak, detention). In contrast, continuous hydrologic modeling synthesizes hydrologic processes and phenomena (i.e., synthetic responses of the basin to a number of rain events and their cumulative effects) over a longer time period that includes both wet and dry conditions. Thus, fine-scale event hydrologic modeling is particularly useful for understanding detailed hydrologic processes and identifying the relevant parameters that can be further used for coarse-scale continuous modeling, especially when long-term intensive monitoring data are not available or the data are incomplete. Joint event and continuous hydrologic modeling with the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) is discussed in this technical note and an application to the Mona Lake watershed in west Michigan is presented. Specifically, four rainfall events were selected for calibrating/verifying the event model and identifying model parameters. The calibrated parameters were then used in the continuous hydrologic model. The Soil Conservation Service curve number and soil moisture accounting methods in HEC-HMS were used for simulating surface runoff in the event and continuous models, respectively, and the relationship between the two rainfall-runoff models was analyzed. The simulations provided hydrologic details about quantity, variability, and sources of runoff in the watershed. The model output suggests that the fine-scale ( 5min time step) event hydrologic modeling, supported by intensive field data, is useful for improving the coarse-scale (hourly time step) continuous modeling by providing more accurate and well-calibrated parameters.

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Acknowledgments

This project was supported by the Michigan Department of Environmental Quality and Grand Valley State University. The writers would like to thank Annoesjka Steinman, David Fongers, David Kendrick, Vivek Singh, Rick Rediske, Kurt Thompson, Rod Denning, Patrick Womble, Eric Nemeth, and Brain Hanson for their contributions to various aspects of this research.

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Information & Authors

Information

Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 135Issue 1February 2009
Pages: 119 - 124

History

Received: Jan 31, 2007
Accepted: Apr 17, 2008
Published online: Feb 1, 2009
Published in print: Feb 2009

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Authors

Affiliations

Xuefeng Chu, A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, North Dakota State Univ., 1410 14th Ave. North, Fargo, ND 58105; formerly, Annis Water Resources Institute, Grand Valley State Univ., Muskegon, MI 49441. E-mail: [email protected]
Alan Steinman [email protected]
Professor and Director, Annis Water Resources Institute, Grand Valley State Univ., 740 W. Shoreline Dr., Muskegon, MI 49441. E-mail: [email protected]

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