Many wrong models approach to localize an odor source in turbulence with static sensors

The problem of locating an odor source in turbulent flows is central to key applications such as environmental monitoring and disaster response. We address this challenge by designing an algorithm based on Bayesian inference, which uses odor measurements from an ensemble of static sensors to estimat...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Piro, Lorenzo, Heinonen, Robin A, Cencini, Massimo, Biferale, Luca
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atmospheric boundary layer Bayesian analysis Direct numerical simulation Environmental monitoring Monte Carlo simulation Odors Position measurement Position sensing Statistical inference Stochastic models Turbulence
Online-Zugang:	Volltext
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