Massimo Chiari

Dr. Massimo Chiari

orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

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

Representative Publications

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24 October 2008 in Journal of Geophysical Research: Atmospheres
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Journal Article
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PFP. Formenti
P. Formenti
JRJean Louis RAJOT
Jean Louis RAJOT
KDK. Desboeufs
K. Desboeufs
SCS. Caquineau
S. Caquineau
SCS. Chevaillier
S. Chevaillier
EHE. Highwood
E. Highwood

26 April 2013 in Atmospheric Chemistry and Physics
Verified
Journal Article
Open access
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MDM. Dall'OSto
M. Dall'OSto
XQXavier Querol
Xavier Querol
FAFulvio Amato
Fulvio Amato
Angeliki KaranasiouAngeliki Karanasiou
Angeliki Karanasiou
FLFranco Lucarelli
Franco Lucarelli
MCMassimo Chiari
Massimo Chiari
Hourly-resolved aerosol chemical speciation data can be a highly powerful tool to determine the source origin of atmospheric pollutants in urban environments. Aerosol mass concentrations of seventeen elements (Na, Mg, Al, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, Sr and Pb) were obtained by time (1 h) and size (PM2.5 particulate matter < 2.5 μm) resolved aerosol samples analysed by Particle Induced X-ray Emission (PIXE) measurements. In the Marie Curie European Union framework of SAPUSS (Solving Aerosol Problems by Using Synergistic Strategies), the approach used is the simultaneous sampling at two monitoring sites in Barcelona (Spain) during September–October 2010: an urban background site (UB) and a street canyon traffic road site (RS). Elements related to primary non-exhaust traffic emission (Fe, Cu), dust resuspension (Ca) and anthropogenic Cl were found enhanced at the RS, whereas industrial related trace metals (Zn, Pb, Mn) were found at higher concentrations at the more ventilated UB site. When receptor modelling was performed with positive matrix factorization (PMF), nine different aerosol sources were identified at both sites: three types of regional aerosols (regional sulphate (S) – 27%, biomass burning (K) – 5%, sea salt (Na-Mg) – 17%), three types of dust aerosols (soil dust (Al-Ti) – 17%, urban crustal dust (Ca) – 6%, and primary traffic non-exhaust brake dust (Fe-Cu) – 7%), and three types of industrial aerosol plumes-like events (shipping oil combustion (V-Ni) – 17%, industrial smelters (Zn-Mn) – 3%, and industrial combustion (Pb-Cl) – 5%, percentages presented are average source contributions to the total elemental mass measured). The validity of the PMF solution of the PIXE data is supported by very good correlations with external single particle mass spectrometry measurements. Some important conclusions can be drawn about the PM2.5 mass fraction simultaneously measured at the UB and RS sites: (1) the regional aerosol sources impact both monitoring sites at similar concentrations regardless their different ventilation conditions; (2) by contrast, local industrial aerosol plumes associated with shipping oil combustion and smelters activities have a higher impact on the more ventilated UB site; (3) a unique source of Pb-Cl (associated with combustion emissions) is found to be the major (82%) source of fine Cl in the urban agglomerate; (4) the mean diurnal variation of PM2.5 primary traffic non-exhaust brake dust (Fe-Cu) suggests that this source is mainly emitted and not resuspended, whereas PM2.5 urban dust (Ca) is found mainly resuspended by both traffic vortex and sea breeze; (5) urban dust (Ca) is found the aerosol source most affected by land wetness, reduced by a factor of eight during rainy days and suggesting that wet roads may be a solution for reducing urban dust concentrations.

1 May 2015 in Atmospheric Environment
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Journal Article
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DMDario Massabo
Dario Massabo
LCL. Caponi
L. Caponi
VBVera Bernardoni
Vera Bernardoni
MBMaria Chiara Bove
Maria Chiara Bove
PBP. Brotto
P. Brotto
PPPaolo Prati
Paolo Prati

1 April 2013 in Atmospheric Environment
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Journal Article
Closed access
TMT. Moreno
T. Moreno
Angeliki KaranasiouAngeliki Karanasiou
Angeliki Karanasiou
FAFulvio Amato
Fulvio Amato
FLFranco Lucarelli
Franco Lucarelli
SNS. Nava
S. Nava
WGW. Gibbons
W. Gibbons

1 August 2012 in Environmental Pollution
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Journal Article
Closed access
MGMartina Giannoni
Martina Giannoni
Tania MartelliniTania Martellini
Tania Martellini
MBMassimo Del Bubba
Massimo Del Bubba
AGAndrea Gambaro
Andrea Gambaro
RZRoberta Zangrando
Roberta Zangrando
Alessandra CincinelliAlessandra Cincinelli
Alessandra Cincinelli

16 December 2006 in Journal of Geophysical Research: Atmospheres
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Journal Article
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FMFranco Marenco
Franco Marenco
PBPaolo Bonasoni
Paolo Bonasoni
FCF. Calzolari
F. Calzolari
MCM. Ceriani
M. Ceriani
MCMassimo Chiari
Massimo Chiari
RVRoberta Vecchi
Roberta Vecchi
Atmospheric aerosols in the PM10 and PM1 fractions have been sampled at the Global Atmospheric Watch station Mount Cimone, Italy (2165 m above mean sea level) for 3 months during summer 2004, and simultaneous size distributions have been derived by means of an optical particle counter. Samples have been analyzed by X‐ray fluorescence, ion chromatography, and thermal‐optical methodology in order to quantify their elemental, ionic, and carbonaceous constituents. The concentration of PM10 was 16.1 ± 9.8 μg m−3 (average and standard deviation). Source apportionment allowed us to identify, quantify and characterize the following aerosol classes: anthropogenic pollution (10 μg m−3), mineral dust (4 μg m−3), and sea salt (0.2 μg m−3). Pollution has been further split into ammonium sulfate (44%), organic matter (42%), and other compounds (14%). The nitrate/sulfate ratio in the polluted aerosol was 0.1. Fine particles have been completely related to the polluted aerosol component, and they represented 70% in weight of pollution. Coarse particles characterized the dust and salt components, and crustal oxides have been found to be the largest responsible for the aerosol concentration variations that occurred during the campaign. Nitrate has also been found in the coarse particles, representing ∼10% of mineral dust. The analysis of the transport mechanisms responsible for aerosol fluctuations permitted us to identify the origin of the major aerosol components: Pollution has been ascribed to regional transport driven by boundary layer meteorology, whereas mineral dust has been related to long‐range transport events originating in the Sahara and Sahel. A particularly significant Saharan episode has been identified on 10 August 2004 (PM10 daily concentration, 69.9 μg m−3). Average elemental ratios for the African dust events were as follows: Si/Al = 2.31, Fe/Ca = 0.94, Ca/Al = 0.90, K/Ca = 0.44, Ti/Ca = 0.11, and Ti/Fe = 0.12.