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

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% averag...

[1]  Paul D. Bates,et al.  Optimal use of high‐resolution topographic data in flood inundation models , 2003 .

[2]  Eric Tate,et al.  Creating a Terrain Model for Floodplain Mapping , 2002 .

[3]  Garry R. Willgoose,et al.  On the effect of digital elevation model accuracy on hydrology and geomorphology , 1999 .

[4]  M. Hodgson,et al.  Accuracy of Airborne Lidar-Derived Elevation: Empirical Assessment and Error Budget , 2004 .

[5]  Chengcui Zhang,et al.  A progressive morphological filter for removing nonground measurements from airborne LIDAR data , 2003, IEEE Trans. Geosci. Remote. Sens..

[6]  P. Bates,et al.  Integration of high-resolution topographic data with floodplain flow models. , 2000 .

[7]  Gary W. Brunner,et al.  HEC-RAS River Analysis System. Hydraulic Reference Manual. Version 1.0. , 1995 .

[8]  J. Wickham,et al.  Completion of the 2001 National Land Cover Database for the conterminous United States , 2007 .

[9]  Michael E. Hodgson,et al.  Impact of Lidar Nominal Post-spacing on DEM Accuracy and Flood Zone Delineation , 2007 .

[10]  Christopher A. Barnes,et al.  Completion of the 2006 National Land Cover Database for the conterminous United States. , 2011 .

[11]  J. French,et al.  Airborne LiDAR in support of geomorphological and hydraulic modelling , 2003 .

[12]  David M. Cobby,et al.  Two‐dimensional hydraulic flood modelling using a finite‐element mesh decomposed according to vegetation and topographic features derived from airborne scanning laser altimetry , 2003 .

[13]  B. Sanders Evaluation of on-line DEMs for flood inundation modeling , 2007 .

[14]  Venkatesh Merwade,et al.  Uncertainty in Flood Inundation Mapping: Current Issues and Future Directions , 2008 .

[15]  Yong Wang,et al.  Comparison of Light Detection and Ranging and National Elevation Dataset Digital Elevation Model on Floodplains of North Carolina , 2005 .