Lagrangian modelling of oil concentrations at sea: A sensitivity analysis to the grid resolution and number of Lagrangian elements.

Lagrangian modelling North Sea Oil spills Oil surface concentration

Journal

Marine pollution bulletin
ISSN: 1879-3363
Titre abrégé: Mar Pollut Bull
Pays: England
ID NLM: 0260231

Informations de publication

Date de publication:
23 Nov 2023
Historique:
received: 23 05 2023
revised: 07 07 2023
accepted: 11 11 2023
medline: 25 11 2023
pubmed: 25 11 2023
entrez: 24 11 2023
Statut: aheadofprint

Résumé

This paper presents a novel method to select the optimal combination of grid resolution and number of Lagrangian elements (LEs) required in numerical modelling of oil concentrations at sea. A sensitivity analysis in terms of grid resolution and the number of LEs, was carried out to understand the uncertainty that these user-dependent parameters introduce in the numerical results. A dataset of 211,200 simulations performed under 400 metocean patterns, 6 initial volumes, 11 grid resolutions, and different numbers of LEs (100 to 500,000), was used to analyze the sensitivity of the model along different Thresholds of Concern. Results show the importance of a correct selection of the number of LEs and the grid resolution in Lagrangian modelling of surface oil concentrations. The method proposed will allow selecting the optimal combination of these parameters to find an optimal balance between the accuracy and the computational cost of the simulation.

Identifiants

pubmed: 38000266
pii: S0025-326X(23)01222-5
doi: 10.1016/j.marpolbul.2023.115787
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115787

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Andrés Martínez (A)

IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander 39011, Spain.

Ana J Abascal (AJ)

IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander 39011, Spain. Electronic address: abascalaj@unican.es.

Andrés García (A)

IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander 39011, Spain.

Germán Aragón (G)

IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander 39011, Spain.

Raúl Medina (R)

IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander 39011, Spain.

Classifications MeSH