Articles | Volume 24, issue 1
Research article
30 Jan 2024
Research article |  | 30 Jan 2024

Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)

Luis Cea, Manuel Álvarez, and Jerónimo Puertas

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Cited articles

AIRBUS: Copernicus DEM Validation Report (v3.0), 23 pp.,, 2020. 
Bayburt, S., Kurtak, A. B., Büyüksalih, G., and Jacobsen, K.: Geometric accuracy analysis of WorldDEM in relation to AW3D30, SRTM and ASTER GDEM2, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 42, 211–217, 2017. 
Bermúdez, M., Cea, L., and Puertas, J.: A rapid flood inundation model for hazard mapping based on least squares support vector machine regression, J. Flood Risk Manag., 12, e12522,, 2019. 
Bladé, E., Cea, L., Corestein, G., Escolano, E., Puertas, J., Vázquez-Cendón, M. E., Dolz, J., and Coll, A.: Iber: herramienta de simulación numérica del flujo en ríos, Rev. Int. Metod. Numer., 30, 1–10,, 2014. 
Short summary
Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Final-revised paper