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TURB-Smoke. también conocido como TURB Smoke. Una base de datos de contaminantes lagrangianos emitidos por fuentes

Luca Biferale¹, Fabio Bonaccorso¹, Niccolò Cocciaglia²

¹Department of Physics & INFN, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133, Rome, Italy.

Scientific data

|February 11, 2026

Resumen

Presentamos TURB-Smoke, un nuevo conjunto de datos para rastrear fuentes de contaminación en flujos turbulentos. Este conjunto de datos ayuda a desarrollar mejores estrategias de monitoreo ambiental y respuesta a emergencias.

Área de la Ciencia:

La dinámica de fluidos es la dinámica de fluidos.
Ciencias ambientales Ciencias ambientales.
Ciencias computacionales Ciencias computacionales.

Sus antecedentes:

La identificación de la fuente de contaminación en los flujos turbulentos es difícil debido a la escasez de datos.
El modelado preciso requiere simulaciones complejas o datos experimentales.

Objetivo del estudio:

Presenta TURB-Smoke, un conjunto de datos numéricos para la dispersión de contaminantes.
Proporcionar una verdad básica para desarrollar y evaluar estrategias de rastreo de fuentes.

Principales métodos:

Generado a través de simulaciones numéricas directas de las ecuaciones de Navier-Stokes.
Rastreó millones de partículas Lagrangianas de cinco fuentes puntuales.
Trayectorias, posiciones y velocidades de flujo de partículas registradas.

Principales resultados:

El conjunto de datos incluye trayectorias de partículas y campos de concentración de grano grueso.
Adecuado para probar algoritmos de búsqueda en flujos turbulentos realistas.

Conclusiones:

TURB-Smoke ofrece un marco fiable para la investigación de seguimiento de fuentes.
Facilita el desarrollo de estrategias de monitoreo ambiental y respuesta a emergencias.

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