A web application for hydrogeomorphic flood hazard mapping

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.envsoft.2019.04.010.

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Authors

Ricardo Tavares da Costa , Salvatore Manfreda , Valerio Luzzi, Caterina Samela, Paolo Mazzoli, Attilio Castellarin, Stefano Bagli

Abstract

A detailed delineation of flood-prone areas over large regions represents a challenge that cannot be easily solved with today’s resources. The main limitations lie in algorithms and hardware, but also costs, scarcity and sparsity of data and our incomplete knowledge of how inundation events occur in different river floodplains. We showcase the implementation of a data-driven web application for regional analyses and detailed (i.e., tens of meters) mapping of floodplains, based on (a) the synthesis of hydrogeomorphic features into a morphological descriptor and (b) its classification to delineate flood-prone areas. We analysed the skill of the descriptor and the performance of the mapping method for European rivers. The web application can be effectively used for delineating flood-prone areas, reproducing the reference flood maps with a classification skill of 88.59% for the 270 major river basins analysed across Europe and 84.23% for the 64 sub-catchments of the Po River.

DOI

https://doi.org/10.31223/osf.io/q5tjc

Subjects

Civil and Environmental Engineering, Earth Sciences, Engineering, Hydraulic Engineering, Hydrology, Physical Sciences and Mathematics

Keywords

web application, digital elevation model, supervised classification, data mining, Hydrogeomorphology, Large-scale study

Dates

Published: 2020-01-08 19:59

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License

CC BY Attribution 4.0 International

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