Chemical characterization of fine particles (PM2.5) at a coastal site in the South Western Mediterranean during the ChArMex experiment

2020 ◽  
Vol 27 (16) ◽  
pp. 20427-20445 ◽  
Author(s):  
Abdelkader Lemou ◽  
Lyes Rabhi ◽  
Hamza Merabet ◽  
Riad Ladji ◽  
José B Nicolas ◽  
...  
2015 ◽  
Vol 15 (1) ◽  
pp. 965-1000 ◽  
Author(s):  
M. C. Minguillón ◽  
A. Ripoll ◽  
N. Pérez ◽  
A. S. H. Prévôt ◽  
F. Canonaco ◽  
...  

Abstract. An Aerosol Chemical Speciation Monitor (ACSM, Aerodyne Research Inc.) was deployed at Montseny (MSY, 720 m a.s.l.) regional background site in the Western Mediterranean from June 2012 to July 2013 to measure real-time inorganic (nitrate, sulphate, ammonium and chloride) and organic submicron aerosol concentrations. Co-located measurements were also carried out including real-time submicron particulate matter (PM1) and black carbon (BC) concentrations, and off-line PM1 chemical analysis. This is one of the few studies that compare ACSM data with off-line PM1 measurements, avoiding the tail of the coarse mode included in the PM2.5 fraction. The ACSM + BC concentrations agreed with the PM1 measurements, and strong correlation was found between the concentrations of ACSM species and the off-line measurements, although some discrepancies remain unexplained. Results point to a current underestimation of the relative ionization efficiency (RIE) established for organic aerosol (OA), which should be revised in the future. The OA was the major component of submicron aerosol (53% of PM1), with a higher contribution in summer (58% of PM1) than in winter (45% of PM1). Source apportionment of OA was carried out by applying Positive Matrix Factorization (PMF) using the Multilinear Engine (ME-2) to the organic mass spectral data matrix. Three sources were identified in summer: hydrocarbon-like OA (HOA), low-volatile oxygenated OA (LV-OOA), and semi-volatile oxygenated OA (SV-OOA). The secondary OA (SOA, 4.7 μg m−3, sum of LV-OOA and SV-OOA) accounted for 85% of the total OA and its formation during daytime (mainly SV-OOA) was estimated to be 1.1 μg m−3. In winter, HOA was also identified (12% of OA), a contribution from biomass burning OA was included, and it was not possible to differentiate two different SOA factors but a single OOA factor was resolved. The OOA contribution represented the 60% of the total OA, with a degree of oxidation higher than both OOA summer factors. An intense wildfire episode was studied obtaining a region-specific BBOA profile.


Chemosphere ◽  
2006 ◽  
Vol 62 (10) ◽  
pp. 1565-1573 ◽  
Author(s):  
Ling-Yan He ◽  
Min Hu ◽  
Xiao-Feng Huang ◽  
Yuan-Hang Zhang ◽  
Ben-De Yu ◽  
...  

2015 ◽  
Vol 15 (11) ◽  
pp. 6379-6391 ◽  
Author(s):  
M. C. Minguillón ◽  
A. Ripoll ◽  
N. Pérez ◽  
A. S. H. Prévôt ◽  
F. Canonaco ◽  
...  

Abstract. An Aerosol Chemical Speciation Monitor (ACSM, Aerodyne Research Inc.) was deployed at the Montseny (MSY; 41° 46'46" N, 02° 21'29" E, 720 m a.s.l.) regional background site in the western Mediterranean, Spain, from June 2012 to July 2013 to measure real-time inorganic (nitrate, sulfate, ammonium and chloride) and organic submicron aerosol concentrations. Co-located measurements, including real-time submicron particulate matter (PM1) and black carbon (BC) concentrations, and off-line PM1 chemical analysis were also carried out. This is one of the few studies that compare ACSM data with off-line PM1 measurements, avoiding the tail of the coarse mode included in the PM2.5 fraction. The ACSM + BC concentrations agreed with the PM1 measurements, and a strong correlation was found between the concentrations of ACSM species and the off-line measurements, although some discrepancies remain unexplained. Results point to a current underestimation of the relative ionization efficiency (RIE) established for organic aerosol (OA), which should be revised in the future. The OA was the major component of submicron aerosol (53% of PM1), with a higher contribution in summer (58% of PM1) than in winter (45% of PM1). Source apportionment of OA was carried out by applying positive matrix factorization (PMF), using the multilinear engine (ME-2) to the organic mass spectral data matrix. Three sources were identified in summer: hydrocarbon-like OA (HOA), low-volatile oxygenated OA (LV-OOA), and semi-volatile oxygenated OA (SV-OOA). The secondary OA (SOA; 4.8 μg m−3, sum of LV-OOA and SV-OOA) accounted for 85% of the total OA, and its formation during daytime (mainly SV-OOA) was estimated to be 1.1 μg m−3. In winter, HOA was also identified (12% of OA), a contribution from biomass burning OA (BBOA) was included and it was not possible to differentiate between two different SOA factors, but a single oxygenated OA (OOA) factor was resolved. The OOA contribution represented 60% of the total OA, with a degree of oxidation higher than both OOA summer factors. An intense wildfire episode was studied, obtaining a region-specific BBOA profile.


1975 ◽  
Vol 29 (5) ◽  
pp. 396-404 ◽  
Author(s):  
G. J. Rosasco ◽  
E. S. Etz ◽  
W. A. Cassatt

A conventional laser Raman spectrometer has been modified and used to obtain useful Raman spectra from discrete solid particles as small as 0.7 µm in linear dimensions. Spectra obtained from single, micrometer-sized particles of several inorganic and organic compounds are reported. Simplified calculations are discussed which provide an estimate of detectability levels and other problems associated with these measurements. Certain parameters that must be considered in the design of an instrument especially intended for use in the chemical characterization of single fine particles are reviewed in the light of this work.


2009 ◽  
Vol 168 (1-4) ◽  
pp. 45-53 ◽  
Author(s):  
P. Prathibha ◽  
P. Kothai ◽  
I. V. Saradhi ◽  
G. G. Pandit ◽  
V. D. Puranik

2016 ◽  
Vol 16 (3) ◽  
pp. 530-541 ◽  
Author(s):  
Nuria Galindo ◽  
Eduardo Yubero ◽  
Jose F. Nicolás ◽  
Javier Crespo ◽  
Rubén Soler

2012 ◽  
Vol 4 (4) ◽  
Author(s):  
Anderson M. Sewald ◽  
Martinho Raul ◽  
Natalia M. Rudorff ◽  
Carla Bonetti ◽  
Luiz Augusto dos S. Madureira

2016 ◽  
Vol 10 (41) ◽  
pp. 1728-1738 ◽  
Author(s):  
R. N. Benamara ◽  
L. Gemelas ◽  
K. Ibri ◽  
B. Moussa-Boudjemaa ◽  
Y. Demarigny

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