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Atribución de fuentes de PM dentro de una instalación de producción porcina a través del modelado PMF de los datos de

Pradeep Kumar¹, Seyit Uguz², Shalini Tiwari¹

¹Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD, 57007, USA.

The Science of the total environment

|February 10, 2026

Resumen

Las partículas en suspensión (PM) en los graneros de cerdos son un riesgo para la salud. El modelado de la atribución de la fuente identificó el alimento para animales, el polvo asentado y las heces como contribuyentes clave a las PM en las salas de producción.

Área de la Ciencia:

Ciencias del medio ambiente Ciencias del medio ambiente.
Ingeniería Agrícola Ingeniería Agrícola.
Salud Pública La salud pública.

Sus antecedentes:

Las partículas en suspensión (PM) en los graneros de cerdos presentan riesgos para la salud de los animales y los seres humanos.
Comprender las fuentes específicas de PM es crucial para una gestión efectiva de la calidad del aire.

Objetivo del estudio:

Para medir las concentraciones de PM y las distribuciones de tamaño de partícula (PSD) en entornos de producción porcina.
Para atribuir las fuentes de PM utilizando el modelo de factorización de matriz positiva (PMF).
Para evaluar un sensor de bajo costo para la atribución de fuentes de PM.

Principales métodos:

Se midieron las concentraciones de PM (PM2.5, PM10, TSP) y PSD utilizando Grimm 11-D OPC en salas de producción y oficinas durante el verano y el invierno.
Aplicó el modelado de PMF a los datos de PSD para la atribución de la fuente.
Evaluación del rendimiento del sensor Alphasense OPC-N3.

Principales resultados:

Se observaron mayores concentraciones de PM en la sala de producción durante el invierno.
El modelado de PMF identificó el alimento para animales, el polvo asentado y las heces como los principales contribuyentes de TSP en las salas de producción de invierno.
La ventilación y la infiltración contribuyeron significativamente a las partículas submicrónicas.

Conclusiones:

El modelado de PMF basado en PSD es un método rentable para la atribución de fuentes de PM en la agricultura animal.
Los hallazgos ayudarán a gestionar la calidad del aire en entornos de producción porcina.
Los sensores de bajo costo son prometedores para aplicaciones similares.

Palabras clave:

Sensores de bajo costo.Distribución del tamaño de las partículas.La factorización de la matriz positiva.Atribución de la fuente Atribución de la fuente.Instalación de producción porcina para la producción porcina.

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