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Solução do problema inverso para a estimativa da área de emissão do microplástico: o estudo de caso da Baía de Sepetiba

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Nikolas Gomes Silveira de Souza, Nikolas Gomes Silveira de Souza, Nikolas Gomes Silveira de Souza, JADER LUGON JUNIOR LUGON, JADER LUGON JUNIOR LUGON, Nikolas Gomes Silveira de Souza, Nikolas Gomes Silveira de Souza, Alexandre Macedo Fernandes, Ramiro Joaquim de Jesus Neves, Ramiro Joaquim de Jesus Neves, ANTÔNIO JOSÉ DA SILVA NETO SILVA NETO, ANTÔNIO JOSÉ DA SILVA NETO SILVA NETO

Summary

Researchers applied the MOHID computational platform to solve the inverse problem of microplastic source identification in Sepetiba Bay, Brazil, using Lagrangian particle-tracking simulations in the estuary connecting Sepetiba and Ilha Grande. The study demonstrates how mathematical modelling of tracer movement can objectively determine the origin of coastal contaminants when direct observation is impractical.

Occasionally, contaminants are found on beaches (oil, plastic, etc.), and determining their origin can be challenging. However, the adaptation of computational tools with the capability of mathematical modelling of the motion of Lagrangian tracers can offer a practical and objective solution. In this study, it is presented a solution for the inverse problem of contaminant emission, with a focus on microplastic. For that matter, the computational platform MOHID was used to simulate the movement of Lagrangian tracers along the estuary connecting Sepetiba and Ilha Grande in Rio de Janeiro/Brazil. Two methods for tracing the origin of the particle were used, traditional backtracking, and a mapping method, both based on box and instantaneous emissions. The outputs were analysed and both methods yielded promising results, though additional criteria-based decision was found to be significantly relevant. In addition, it was observed the complex hydrodynamic ruling the particle motion, with significant longitude and latitude parameter sensitivity for a microplastic search. The mapping method observed the advantage of potentially reducing the time dependence of the model, while backtracking showed faster results. At last, the time and detail of each model output showed important differences, reinforcing the necessity for a criteria-based decision over the use of the model. This work contributes as a support tool for microplastic mitigation and cleansing-related activities and can be extrapolated to address other types of litter.

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