Wind erosion is a key mechanism responsible for the emission of particulate matter (PM) from granular surfaces (industrial wind erosion). In industrial environments such as mining and metallurgical plants, granular materials, typically stored in open yards, can act as fugitive dust sources and affect air quality in surrounding environments. This work develops an integrated methodology that combines experimental measurements and numerical modelling to estimate PM emissions from erodible surfaces exposed to wind action under site-specific conditions. The methodology integrates the physical–chemical characterization of the materials, the experimental determination of the threshold friction velocity, and the CFD-based modelling of the wind field over the exposed surfaces. At its core is a physical–mathematical model implemented in MATLAB, which simulates the saltation, impact, and release of fine particles generated by the saltation process, using as input data the results of experimental analyses preliminary performed on the materials under investigation. The PM10 emissions estimated through numerical simulations showed qualitative agreement with the results of the emission tests carried out in the Environmental Wind Tunnel (DICAAR EWT). The developed methodology represents a significant step toward the development of predictive tools for the management and mitigation of dust emissions, offering a flexible and scientifically robust basis for environmental impact studies.

Definizione di una metodologia integrata per la stima delle emissioni di PM da superfici di materiali granulari esposte all’erosione eolica

LAI, ALESSIO
2026

Abstract

Wind erosion is a key mechanism responsible for the emission of particulate matter (PM) from granular surfaces (industrial wind erosion). In industrial environments such as mining and metallurgical plants, granular materials, typically stored in open yards, can act as fugitive dust sources and affect air quality in surrounding environments. This work develops an integrated methodology that combines experimental measurements and numerical modelling to estimate PM emissions from erodible surfaces exposed to wind action under site-specific conditions. The methodology integrates the physical–chemical characterization of the materials, the experimental determination of the threshold friction velocity, and the CFD-based modelling of the wind field over the exposed surfaces. At its core is a physical–mathematical model implemented in MATLAB, which simulates the saltation, impact, and release of fine particles generated by the saltation process, using as input data the results of experimental analyses preliminary performed on the materials under investigation. The PM10 emissions estimated through numerical simulations showed qualitative agreement with the results of the emission tests carried out in the Environmental Wind Tunnel (DICAAR EWT). The developed methodology represents a significant step toward the development of predictive tools for the management and mitigation of dust emissions, offering a flexible and scientifically robust basis for environmental impact studies.
27-feb-2026
Italiano
GROSSO, BATTISTA
DENTONI, VALENTINA
Università degli Studi di Cagliari
File in questo prodotto:
File Dimensione Formato  
Tesi PhD_Alessio Lai.pdf

accesso aperto

Licenza: Tutti i diritti riservati
Dimensione 6.37 MB
Formato Adobe PDF
6.37 MB Adobe PDF Visualizza/Apri

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/359477
Il codice NBN di questa tesi è URN:NBN:IT:UNICA-359477