000163858 001__ 163858
000163858 005__ 20251107115329.0
000163858 0247_ $$2doi$$a10.5194/gmd-18-7399-2025
000163858 0248_ $$2sideral$$a145829
000163858 037__ $$aART-2025-145829
000163858 041__ $$aeng
000163858 100__ $$0(orcid)0000-0001-8674-1042$$aVallés, Pablo$$uUniversidad de Zaragoza
000163858 245__ $$aSERGHEI v2.1: a Lagrangian model for passive particle transport using a two-dimensional shallow water model (SERGHEI-LPT)
000163858 260__ $$c2025
000163858 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163858 5203_ $$aThis paper presents a Lagrangian model for particle transport driven by a two-dimensional (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 present the capabilities of the new Lagrangian particle transport (LPT) model, while also providing an analysis of the accuracy and computational efficiency of the numerical schemes and their implementation for particle transport. To verify the accuracy and computational cost, several test cases inspired by laboratory set-ups 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.
000163858 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T32-23R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-137334NB-I00$$9info:eu-repo/grantAgreement/ES/UZ/JIUZ2023-IA-04$$9info:eu-repo/grantAgreement/ES/UZ/PI-PRD/2022-03
000163858 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163858 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163858 700__ $$0(orcid)0000-0001-6961-7250$$aMorales-Hernández, Mario$$uUniversidad de Zaragoza
000163858 700__ $$aRoeber, Volker
000163858 700__ $$0(orcid)0000-0003-4444-778X$$aGarcía-Navarro, Pilar$$uUniversidad de Zaragoza
000163858 700__ $$aCaviedes-Voullième, Daniel
000163858 7102_ $$15001$$2600$$aUniversidad de Zaragoza$$bDpto. Ciencia Tecnol.Mater.Fl.$$cÁrea Mecánica de Fluidos
000163858 773__ $$g18, 20 (2025), 7399-7416$$pGEOSCIENTIFIC MODEL DEVELOPMENT$$tGEOSCIENTIFIC MODEL DEVELOPMENT$$x1991-959X
000163858 787__ $$tVallés, P., Caviedes-Voullième, D., and Morales-Hernández, M.: SERGHEI-LPT-RK, Zenodo [code]$$tVallés, P., Caviedes-Voullième, D., and Morales-Hernández, M.: SERGHEI v2.1.0, Zenodo [code]$$whttps://doi.org/10.5281/zenodo.14870918$$whttps://doi.org/10.5281/zenodo.14871005
000163858 8564_ $$s7018960$$uhttps://zaguan.unizar.es/record/163858/files/texto_completo.pdf$$yVersión publicada
000163858 8564_ $$s2513800$$uhttps://zaguan.unizar.es/record/163858/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163858 909CO $$ooai:zaguan.unizar.es:163858$$particulos$$pdriver
000163858 951__ $$a2025-11-07-10:26:07
000163858 980__ $$aARTICLE