Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Significance of Infiltration and Spatial Variability of Rainfall on the Numerical Reproduction of Urban Floods

Version 1 : Received: 28 August 2017 / Approved: 29 August 2017 / Online: 29 August 2017 (06:13:36 CEST)

How to cite: Courty, L.G.; Rico-Ramirez, M.A.; Pedrozo-Acuna, A. The Significance of Infiltration and Spatial Variability of Rainfall on the Numerical Reproduction of Urban Floods. Preprints 2017, 2017080101. https://doi.org/10.20944/preprints201708.0101.v1 Courty, L.G.; Rico-Ramirez, M.A.; Pedrozo-Acuna, A. The Significance of Infiltration and Spatial Variability of Rainfall on the Numerical Reproduction of Urban Floods. Preprints 2017, 2017080101. https://doi.org/10.20944/preprints201708.0101.v1

Abstract

The growth of urban population, combined with an increase of extreme events due to climate changes call for a better understanding and representation of urban floods. Rainfall and infiltration are two important factors that affect the watershed response to a given precipitation event. In this paper, we evaluate the influence of the representation of infiltration and spatially variable rainfall on the computer simulation of the floods that affected the city of Hull, UK in June 2007. This work compares a uniform rainfall with one generated using Kriging with External Drift and a constant infiltration equal to the soil hydraulic conductivity with a neglected infiltration. The results of the four simulations are then compared with the flood extents observed by public authorities. It results that the computer model is able the reproduce the general dynamic of the flood and identify the main inundated areas. We found that neglecting the infiltration induce a better representation of this flood event. Furthermore, the use of radar rainfall results in an accuracy similar to the one obtained with a constant rainfall. This study indicates that when the spatial resolution of the rainfall data is low compared to the catchment size and the precipitation distribution is uniform, the spatial variability of the rainfall might not add significant information.

Supplementary and Associated Material

https://www.itzi.org: Website of the used computer model

Keywords

floods; radar rainfall; kriging; computer modelling

Subject

Environmental and Earth Sciences, Environmental Science

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