THE APPLICATION OF LAGRANGIAN PARTICLE TRACKING TECHNIQUES TO MODELLING OF CONTAMINANTS IN WATER RESOURCES

Authors

DOI:

https://doi.org/10.19180/2177-4560.v19n12025p3-28

Keywords:

Beaching, Lagrangian, Random walk

Abstract

The Lagrangian model is widely used to track particles in water resources. The model, primarily a stochastic deterministic solution, is coupled with virtual passive particles driven by hydrodynamic forces. User methods regarding model parameterization, limitations, and future directions are examined in relevant reviews. The results indicated a logical convergence via a random walk variable and inverse problem methods for the initial parameters. Highlights suggest a limited capacity to replicate a representative tracer trajectory, except for the initial and final pair of coordinates. Future directions combine computational power and algorithm optimization. Future research is recommended to improve understanding of the influence of random walk and how to reduce uncertainties in long-term models. This review aims to contribute to a critical analysis of Lagrangian models and methods. It summarizes methods that can contribute to environmental modeling for the mitigation, control, and cleanup of areas impacted by solids from immiscible passive particles.

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Author Biographies

  • Nikolas Gomes Silveira de Souza, Instituto Federal Fluminense
    Doutorando em Modelagem e Tecnologia para Meio Ambiente Aplicadas em Recursos Hídricos (AmbHidro) pelo Instituto Federal Fluminense - Campos dos Goytacazes-RJ - Brasil.
  • Jader Lugon Jr., Instituto Federal Fluminense
    Doutor em Modelagem Computacional (UERJ).  Professor do Instituto Federal de Educação, Ciência e Tecnologia Fluminense - campus Macaé (RJ) – Brasil.
  • Ramiro Joaquim de Jesus Neves, Instituto Superior Técnico
    Instituto Superior Técnico, Universidade de Lisboa - Lisbon, Portugal.
  • Alexandre Macedo Fernandes, Universidade do Estado do Rio de Janeiro
    Faculdade de Oceanografia, Universidade Do Estado Do Rio de Janeiro, Rio de Janeiro, Brazil
  • Maria Manuela Fraga Juliano, Universidade dos Açores
    Universidade dos Açores
  • Antônio José da Silva Neto, Instituto Politécnico do Rio de Janeiro
    Doutorado em Engenharia Mecânica pela North Carolina State University, Estados Unidos. Professor Titular da Universidade do Estado do Rio de Janeiro - Brasil.

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15-04-2025

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Vol. 19 No. 1 (2025): Boletim do Observatório Ambiental - IFF

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THE APPLICATION OF LAGRANGIAN PARTICLE TRACKING TECHNIQUES TO MODELLING OF CONTAMINANTS IN WATER RESOURCES. Boletim do Observatório Ambiental Alberto Ribeiro Lamego, [S. l.], v. 19, n. 1, p. 3–28, 2025. DOI: 10.19180/2177-4560.v19n12025p3-28. Disponível em: https://editoraessentia.iff.edu.br/index.php/boletim/article/view/23443.. Acesso em: 20 apr. 2025.