Predicting Channel Conveyance in the Obion River Watershed Using SAMBLE Method
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Hydrologic Engineering
Volume 25, Issue 2
Abstract
Digital elevation models (DEMs) are widely used for hydraulic modeling, but one of the challenges in using a DEM for hydraulic modeling is its limitations in accurately representing the channel conveyance. This limitation is usually disregarded because the collection of bathymetry data is time and resource intensive, and it is often unavailable for well-gauged watersheds as well. Thus, a DEM-based hydraulic model may lead to less accurate conclusions even if detailed hydrologic data are available. The situation is more challenging in large and morphologically active river systems because DEMs only represent the river condition of their acquisition time. Therefore, the objectives of this research are to (1) develop a DEM correction method for predicting channel conveyance at the watershed scale and (2) demonstrate the significance of riverbed-level change for flood risk assessment in the Obion River. The proposed DEM correction method is called Slope Adjusted Mean Bed Level Elevation (SAMBLE) and utilizes the hydrologic data of a watershed to predict average riverbed level and thus channel conveyance at a watershed scale. It is tested on the Obion River watershed in northwest Tennessee. Analysis of the results showed that the SAMBLE method can predict average riverbed level with less than 1 m error that is more accurate than the best available Light Detection and Ranging (LiDAR) DEM for the Obion River watershed. Additionally, it can predict riverbed-level changes using time series of hydrologic data. The significance of riverbed-level change on flood risk is also demonstrated by estimating aggradation-degradation (via SAMBLE) in a morphologically active segment of the Obion River.
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Acknowledgments
This research was supported by the Center for the Management, Utilization, and Protection of Water Resources at TTU through the USDA-AFRI project (Award No. 2015-68007-23212). The authors acknowledge Dr. Shawn A. Hawkins of the University of Tennessee, USACE (Memphis District), West Tennessee River Basin Authority, USGS (Tennessee Water Science Center), and Ms. Amy Hill for technical and editorial support.
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Published In
Journal of Hydrologic Engineering
Volume 25 • Issue 2 • February 2020
Copyright
©2019 American Society of Civil Engineers.
History
Received: Sep 13, 2018
Accepted: Aug 29, 2019
Published online: Dec 4, 2019
Published in print: Feb 1, 2020
Discussion open until: May 4, 2020
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