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https://doi.org/10.5194/egusphere-2025-722
https://doi.org/10.5194/egusphere-2025-722
15 Apr 2025
 | 15 Apr 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

SERGHEI v2.1: a Lagrangian Model for Passive Particle Transport using a 2D Shallow Water Model (SERGHEI-LPT)

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

Abstract. This paper presents a Lagrangian model for particle transport driven by a 2D shallow water model, assuming that the particles have negligible mass and volume, are located at the free surface, and without interactions between them. Particle motion is based on advection and turbulent diffusion, which is added using a random-walk model. The equations for particle advective transport are solved using the flow velocity provided by a 2D shallow water solver and an online first-order Euler method, an online fourth order Runge-Kutta method and an offline fourth order Runge-Kutta method. The primary objective of this work is to analyze the accuracy and computational efficiency of the numerical schemes and the algorithm implementation for particle transport. To verify the accuracy and computational cost, several test cases inspired by laboratory setups are simulated. In this analysis, the Euler online method provides the best compromise between accuracy and computational efficiency. Finally, a localized precipitation event in the Arnás catchment is simulated to test the model's capability to represent particle transport in overland flow over irregular topography.

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

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

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Short summary
This study presents a computational model for passive particle transport in water. Their 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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