The Use of General Inverse Problem Platform (GRIPP) as a Robust Backtracking Solution DOI Creative Commons
Nikolas Gomes Silveira de Souza, Jader Lugon, Alexandre Macedo Fernandes

et al.

Coasts, Journal Year: 2025, Volume and Issue: 5(1), P. 6 - 6

Published: Feb. 7, 2025

This study addresses the challenge of identifying pollutant sources in aquatic coastal environments using inverse problem techniques hampered by particularities hydrodynamic and Lagrangian models. An approach is presented employing General Inverse Problem Platform (GRIPP) coupled with a Simulated Annealing (GenSA) algorithm for robust backtracking. methodology was applied to hypothetical case Guanabara Bay, Brazil, MOHID Water platform simulations. GRIPP significantly improved emission identification pathway representativeness compared traditional backtracking methods exploring multiple potential particle origins optimizing seeding parameters. The optimization yielded solution mean error 0.019 degrees between predicted observed tracer locations. demonstrates GenSA solving practical environmental problems regions. use can bypass eventual numerical errors cases long-term pollution source when methods. contributes blended models emissions, as well determine pathways pollutants.

Language: Английский

The Use of General Inverse Problem Platform (GRIPP) as a Robust Backtracking Solution DOI Creative Commons
Nikolas Gomes Silveira de Souza, Jader Lugon, Alexandre Macedo Fernandes

et al.

Coasts, Journal Year: 2025, Volume and Issue: 5(1), P. 6 - 6

Published: Feb. 7, 2025

This study addresses the challenge of identifying pollutant sources in aquatic coastal environments using inverse problem techniques hampered by particularities hydrodynamic and Lagrangian models. An approach is presented employing General Inverse Problem Platform (GRIPP) coupled with a Simulated Annealing (GenSA) algorithm for robust backtracking. methodology was applied to hypothetical case Guanabara Bay, Brazil, MOHID Water platform simulations. GRIPP significantly improved emission identification pathway representativeness compared traditional backtracking methods exploring multiple potential particle origins optimizing seeding parameters. The optimization yielded solution mean error 0.019 degrees between predicted observed tracer locations. demonstrates GenSA solving practical environmental problems regions. use can bypass eventual numerical errors cases long-term pollution source when methods. contributes blended models emissions, as well determine pathways pollutants.

Language: Английский

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