Francesco Pinna

Dr. Francesco Pinna


Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 1997 in Journal of Catalysis
Verified
Journal Article
Closed access
ABAlvise Benedetti
Alvise Benedetti
SPS. Polizzi
S. Polizzi
PRPietro Riello
Pietro Riello
FPFrancesco Pinna
Francesco Pinna
GGGuenter Goerigk
Guenter Goerigk

13 April 2021 in Minerals
Verified
Journal Article
Open access
PDF file
VDValentina Dentoni
Valentina Dentoni
BGBattista Grosso
Battista Grosso
FPFrancesco Pinna
Francesco Pinna
The disposal of industrial and mineral processing residues represents a major concern for human health and the environment as a whole. In order to reduce the impact on soil and groundwater due to the waste leachability, the implementation of environmental regulations worldwide has favored the conversion of the disposal techniques from wet to dry (i.e., dry stacking or dry disposal). Such a change in the storage practice may cause the increase of particulate matter (PM) emission from the dry surfaces of the tailings exposed to wind erosion. Considering the significance of the environmental issue on a global scale and the increasingly stricter orientation of environmental policies, the need for modeling tools capable of estimating the contribution of tailing basins to air pollution becomes apparent. The paper deals with the disposal of red mud resulting from the bauxite processing in the alumina industry. An experimental research was carried with an environmental wind tunnel to estimate the Emission Factor (EF) of the basin surfaces as a function of the main affecting variables (i.e., residue water content and wind velocity). The article reports the results of the experimental test carried out on the red mud from a major basin located in Sardinia (Italy).

14 February 2022 in Atmosphere
Verified
Journal Article
Open access
PDF file
VDValentina Dentoni
Valentina Dentoni
BGBattista Grosso
Battista Grosso
FPFrancesco Pinna
Francesco Pinna
ALAlessio Lai
Alessio Lai
OBouiza bouarour
ouiza bouarour
A physical-mathematical model has been designed to estimate the emission of dust from the surface of granular materials exposed to wind erosion. The emission model implements the Monte Carlo probabilistic approach, which for a given wind velocity (i.e., shear stress velocity) ascribes the probability of saltation to the particle aggregates composing the erodible surface and calculates the emission of dust aerosol based on the main laws governing the physics of wind-blown particles. The article discusses the application of the emission code to the surfaces of two metal sulphides (PbS and ZnS), which are typically stored in stockpiles in the open yards of industrial plants that operate in the commodity sector, to be used as raw materials for the production of lead and zinc (non-ferrous metals). The results of the simulation were found to be in agreement with the indication provided by the technical literature about the emission potential of the two metal sulphides. The emission model hereby proposed intends to provide an analytical integration to the experimental and empirical Emission Factors (EF) already suggested by the technical and scientific literature about industrial wind erosion.

8 January 2024 in Atmosphere
Verified
Journal Article
Open access
PDF file
FPFrancesco Pinna
Francesco Pinna
BGBattista Grosso
Battista Grosso
ALAlessio Lai
Alessio Lai
OBouiza bouarour
ouiza bouarour
CACristiano Armas
Cristiano Armas
VDValentina Dentoni
Valentina Dentoni
The wind erosion of granular materials stored within the open yards of industrial plants (i.e., industrial wind erosion) and the subsequent emission and dispersion of particulate matter (PM) in the surrounding areas represent an important issue for the exposed population and for the environment as a whole. The Environment Impact Assessment (EIA) and the design of emission control measures require a deep knowledge of the erosion phenomenon, and the precise estimation of the Emission Factors (EF) associated with the specific PM source under investigation. Aiming to characterize the emission potential of industrial granular materials, a new Environmental Wind Tunnel (EWT) has recently been built at the Department of Civil and Environmental Engineering and Architecture (DICAAR) laboratories, in Cagliari University. The article discusses the EWT’s updated design and the set-up methodologies applied to reproduce the Atmospheric Boundary Layer (ABL) acting over the surfaces of coarse and heterogeneous granular materials. In addition, a Computational Fluid Dynamics (CFD) model of the EWT has been developed to reproduce and analyze the wind field throughout the entire tunnel volume and preliminarily evaluate possible modifications to the original design. The accuracy of the simulation has been verified by comparing the CFD model and the results of the experimental tests.

3 November 2019 in International Journal of Mining, Reclamation and Environment
Verified
Journal Article
Closed access
VDValentina Dentoni
Valentina Dentoni
BGBattista Grosso
Battista Grosso
GMGiorgio Massacci
Giorgio Massacci
FPFrancesco Pinna
Francesco Pinna
The article describes an original conceptual model that intend to explain the emission mechanism of Particulate Matter from the surfaces of tailing basins exposed to wind erosion. In order to estimate the site-specific parameters of the Emission Factors in the proposed model, the reproduction of the wind flow acting over the erodible surfaces becomes essential. Based on the parameters determined on site and assumed as project objectives, an Environmental Wind Tunnel has been designed to generate a part-depth Atmospheric Boundary Layer (ABL). The measurements performed in the tunnel proved the simulated wind profiles to be representative of the required ABL.

21 February 2024 in Atmospheric Environment: X
Verified
Journal Article
Open access
OBouiza bouarour
ouiza bouarour
Aonghus McnabolaAonghus Mcnabola
Aonghus Mcnabola
BGBattista Grosso
Battista Grosso
BCBrian Considine
Brian Considine
ALAlessio Lai
Alessio Lai
VDValentina Dentoni
Valentina Dentoni