TECHNICAL PAPERS
Jun 29, 2009

Comparison of Flood Top Width Predictions Using Surveyed and LiDAR-Derived Channel Geometries

Publication: Journal of Hydrologic Engineering
Volume 15, Issue 2

Abstract

This paper compares flood top width predictions generated by a one-dimensional flood model using surveyed and light detection and ranging (LiDAR)-based topographic descriptions for varying storm event return intervals. Three channel geometries are used in the analysis: (1) based entirely on survey data; (2) based entirely on LiDAR data; and (3) based on a hybrid file that merges survey-derived channel bank locations and LiDAR-derived cross sections. The study area is a 6.6-km river reach located in the Piedmont area of North Carolina. Four steady flow simulations are performed representing the 10-, 50-, 100-, and 500-year design storm events to understand the effect of storm return period on top width predictions using the three different topographic descriptions. The results from the study suggest that the LiDAR derived geometries generally predicted higher widths compared to the survey geometries, and that the magnitude of the difference is inversely related to the storm even return interval (12% average difference for a 10-year storm event to 4% for a 500-year storm event).

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Acknowledgments

This research was funded in part by the Renaissance Computing Institute (RENCI). The writers would like to thank the anonymous reviewers who greatly improved this paper.

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Information & Authors

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Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 15Issue 2February 2010
Pages: 97 - 106

History

Received: Nov 4, 2008
Accepted: Jun 26, 2009
Published online: Jun 29, 2009
Published in print: Feb 2010

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Authors

Affiliations

Fadi M. Shatnawi, M.ASCE [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, 300 Main St., Columbia, SC 29208. E-mail: [email protected]
Jonathan L. Goodall, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, 300 Main St., Columbia, SC 29208 (corresponding author). E-mail: [email protected]

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