Incorporating the vertical velocity in a coupled Lagrangian–Eulerian approach for particle transport in shallow flows

This work presents a method to incorporate vertical velocity into a two-dimensional depth-averaged Shallow Water Equation (2DH SWE) model, thereby improving the calculation of particle trajectories in a Lagrangian Particle Tracking (LPT) framework. The resulting formulation couples Eulerian and Lagrangian approaches. The vertical velocity is also used to modify the dispersion terms in the LPT model. The proposed approximation is first validated—without particle transport—by comparison with Hyperbolic–Elliptic and Hyperbolic-Relaxed Non-Hydrostatic Pressure (NHP) models. The differences between models are minor, confirming the suitability of the vertical velocity approximation for shallow flow problems. Subsequently, the method is applied to particle transport scenarios, demonstrating that including vertical velocity yields more realistic particle trajectories in complex flow situations. • An efficient approach for vertical velocity in 2D shallow models is proposed. • Vertical velocity approach improves Lagrangian particle transport in shallow flows. • Validated against non-hydrostatic models with good agreement in steady cases. • Reduces particle buildup and improves vertical transport realism in 2D flows.

Authors

Institutions

Publication Details

Journal
Advances in Water Resources
Published
2025-09-04
DOI
https://doi.org/10.1016/j.advwatres.2025.105085
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Incorporating the vertical velocity in a coupled Lagrangian–Eulerian approach for particle transport in shallow flows

Mario Morales‐Hernández, Pilar García‐Navarro, Pablo Vallés, Volker Roeber et al.
1 citations
Advances in Water Resources
Flood Risk Assessment and Management
1.11
article

Incorporating the vertical velocity in a coupled Lagrangian–Eulerian approach for particle transport in shallow flows

Mario Morales‐Hernández, Pilar García‐Navarro, Pablo Vallés, Volker Roeber, Jose Segovia-Burillo
article en
1 citations

Abstract

This work presents a method to incorporate vertical velocity into a two-dimensional depth-averaged Shallow Water Equation (2DH SWE) model, thereby improving the calculation of particle trajectories in a Lagrangian Particle Tracking (LPT) framework. The resulting formulation couples Eulerian and Lagrangian approaches. The vertical velocity is also used to modify the dispersion terms in the LPT model. The proposed approximation is first validated—without particle transport—by comparison with Hyperbolic–Elliptic and Hyperbolic-Relaxed Non-Hydrostatic Pressure (NHP) models. The differences between models are minor, confirming the suitability of the vertical velocity approximation for shallow flow problems. Subsequently, the method is applied to particle transport scenarios, demonstrating that including vertical velocity yields more realistic particle trajectories in complex flow situations. • An efficient approach for vertical velocity in 2D shallow models is proposed. • Vertical velocity approach improves Lagrangian particle transport in shallow flows. • Validated against non-hydrostatic models with good agreement in steady cases. • Reduces particle buildup and improves vertical transport realism in 2D flows.

Advances in Water ResourcesVol. 205
Université de Pau et des Pays de l'Adour (FR), Universidad de Zaragoza (ES)
Université de Pau et des Pays de l'Adour, European Regional Development Fund, Erasmus+, Agencia Estatal de Investigación
Openalex Percentile: Top 20%
Flood Risk Assessment and Management
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.