Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-7399-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-7399-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
Model description paper
 | 
17 Oct 2025
Model description paper |  | 17 Oct 2025

SERGHEI v2.1: a Lagrangian model for passive particle transport using a two-dimensional shallow water model (SERGHEI-LPT)

Pablo Vallés, Mario Morales-Hernández, Volker Roeber, Pilar García-Navarro, and Daniel Caviedes-Voullième

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Cited articles

Arcement, G. and Schneider, V.: Guide for Selecting Manning's Roughness Coefficients for Natural Channels and Flood Plains, no. 2339 in U.S. Geological Survey, Water-supply paper, https://pubs.usgs.gov/publication/wsp2339 (last access: 9 October 2025), 1984. a
Baharvand, S., Ahmari, H., and Taghvaei, P.: Developing a Lagrangian sediment transport model for open channel flows, International Journal of Sediment Research, 38, 153–165, https://doi.org/10.1016/j.ijsrc.2022.09.003, 2023. a, b
Bates, P. D., Savage, J., Wing, O., Quinn, N., Sampson, C., Neal, J., and Smith, A.: A climate-conditioned catastrophe risk model for UK flooding, Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, 2023. a
Bayón, A., Valero, D., and Franca, M. J.: Urban flood drifters (UFD): Identification, classification and characterisation, Journal of Flood Risk Management, e13002, https://doi.org/10.1111/jfr3.13002, 2024. a, b
Bennett, J. R. and Clites, A. H.: Accuracy of trajectory calculation in a finite-difference circulation model, Journal of Computational Physics, 68, 272–282, https://doi.org/10.1016/0021-9991(87)90058-1, 1987. a, b
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This study presents a computational model for passive particle transport in water. The particles' trajectories depend on advection and turbulence, represented by a random-walk model. Three numerical methods are compared to estimate their trajectory, evaluating accuracy and computational cost. Tests show that the Euler method offers the best balance. Finally, a rainfall event in a catchment is simulated to validate the model's performance over irregular terrain.
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