Articles | Volume 16, issue 9
https://doi.org/10.5194/gmd-16-2415-2023
https://doi.org/10.5194/gmd-16-2415-2023
Development and technical paper
 | 
08 May 2023
Development and technical paper |  | 08 May 2023

Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation (within CAESAR-Lisflood version 1.9j-WS)

Matthew D. Wilson and Thomas J. Coulthard

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Cited articles

Adams, J. M., Gasparini, N. M., Hobley, D. E. J., Tucker, G. E., Hutton, E. W. H., Nudurupati, S. S., and Istanbulluoglu, E.: The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds, Geosci. Model Dev., 10, 1645–1663, https://doi.org/10.5194/gmd-10-1645-2017, 2017. a
Agência Nacional de Águas e Saneamento Básico: Hidroweb v3.2.7, Agência Nacional de Águas e Saneamento Básico [data set], https://www.snirh.gov.br/hidroweb/ (last access: 5 May 2023), 2023. a
Ata, R., Goeury, C., and Hervouet, J.: TELEMAC-2D Software Release 7.0 User Manual, Tech. rep., EDF-R&D, http://opentelemac.org/index.php/manuals/summary/13-telemac-2d/1058-telemac-2d-user-manual-en-v7p0 (last access: 5 May 2023), 2014. a, b
Baronas, J. J., Torres, M. A., Clark, K. E., and West, A. J.: Mixing as a driver of temporal variations in river hydrochemistry: 2. Major and trace element concentration dynamics in the Andes‐Amazon transition, Water Resour. Res., 53, 3120–3145, https://doi.org/10.1002/2016WR019729, 2017. a
Bates, P. and De Roo, A.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236, 54–77, https://doi.org/10.1016/S0022-1694(00)00278-X, 2000. a, b
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Short summary
During flooding, the sources of water that inundate a location can influence impacts such as pollution. However, methods to trace water sources in flood events are currently only available in complex, computationally expensive hydraulic models. We propose a simplified method which can be added to efficient, reduced-complexity model codes, enabling an improved understanding of flood dynamics and its impacts. We demonstrate its application for three sites at a range of spatial and temporal scales.