Abstract

Remotely sensed LiDAR data has allowed for more accurate flood map generation through hydraulic simulations. Topographic and bathymetric LiDARs are the two types of LiDAR used, of which the former cannot penetrate water bodies while the latter can. Usually, the topographic LiDAR is more available than bathymetric LiDAR, and it is, therefore, a very interesting data source for flood mapping. In this study, we made comparisons between flood inundation maps from several flood scenarios generated by the HEC-RAS 2D model for 11 sites in Norway using both bathymetric and topographic terrain models. The main objective is to investigate the accuracy of the flood inundations generated from the plain topographic LiDAR, the links of the inaccuracies with geomorphic features, and the potential of using corrections for missing underwater geometry in the topographic LiDAR data to improve accuracy. The results show that the difference in inundation between topographic and bathymetric LiDAR models decreases with increasing the flood size, and this trend was found to be correlated with the amount of protection embankments in the reach. In reaches where considerable embankments are constructed, the difference between the inundations increases until the embankments are overtopped and then returns to the general trend. In addition, the magnitude of the inundation error was found to correlate positively with the sinuosity and embankment coverage and negatively with the angle of the bank. Corrections were conducted by modifying the flood discharge based on the flight discharge of the topographic LiDAR or by correcting the topographic LiDAR terrain based on the volume of the flight discharge, where the latter method generally gave better improvements.

Highlights

  • It is important to mention that this study aims to check the variation in flood inundations resulting from using the various Light Detection And Ranging (LiDAR) terrains

  • Gaula had the largest missed LiDAR volume with 141 m3 subsurface volume missed per meter length, while Storåne showed the lowest missed volume with 4 m3 per meter length

  • A comparison was conducted between the RL and GL terrain models in producing flood inundation extent for 11 sites in Norway

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Floods are one of the most adverse natural disasters that threaten human settlements and activities. In Europe, river floods are the most common natural catastrophe, resulting in significant economic loss through direct damages to properties, infrastructures, and agricultural lands and through indirect losses within the affected areas [1]. The situation is projected to worsen as recent scenarios of global warming are expected to increase the frequency and the intensity of extreme precipitation events in addition to flood levels [2,3,4,5]

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