TECHNICAL PAPERS
Jan 29, 2010

Analysis and Synthesis of Transmission Loss Hydrographs

Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 9

Abstract

Accounting for transmission losses properly is critical in hydrologic analyses in arid and semiarid climates. The objective of this research was to develop a model that could account for the spatial and temporal variations of transmission losses while routing the flow hydrograph through the channel reach. This model was based on Hortonian infiltration methods and hydrologic channel routing. While most transmission loss models predict flow volumes, the model developed herein uses hydrographs of individual storm events. A numerical optimization procedure was used to identify optimum parameter values for each of Horton’s parameters and the routing coefficient, which were then used in modeling transmission losses. Flow gauge data were obtained from the Walnut Gulch Experimental Watershed, which is located near Tucson, Ariz. Testing of this model indicates that it is able to account for transmission losses and predict downstreamflow with reasonable accuracy. To provide a measure of verification, the model was compared to predictions from Lane’s model, which is a commonly used method of accounting for transmission losses based on upstreamflow and downstreamflow volumes. Overall the two methods were found to agree fairly well though differing assumptions in the methods influence the results.

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References

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Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 136Issue 9September 2010
Pages: 637 - 645

History

Received: Mar 12, 2009
Accepted: Jan 27, 2010
Published online: Jan 29, 2010
Published in print: Sep 2010

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Authors

Affiliations

Stephanie N. Rew
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742 (corresponding author).
Richard H. McCuen, M.ASCE [email protected]
The Ben Dyer Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742. E-mail: [email protected]

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