Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6975
Title: A study on the relationship between mass concentrations, chemistry and number size distribution of urban fine aerosols in Milan, Barcelona and London
Authors: Rodríguez, S
Dingenen, RV
Putaud, JP
Dell'Acqua, A
Pey, J
Querol, X
Alastuey, A
Chenery, S
Ho, KF
Harrison, R
Tardivo, R
Scarnato, B
Gemelli, V
Keywords: Aerosol composition
Ammonium nitrate
Atmospheric pollution
Black carbon
Condensation
Particle size
Particulate organic matter
Physicochemical property
Size distribution
Traffic emission
Urban atmosphere
Issue Date: 3-May-2007
Publisher: Copernicus GmbH
Source: Atmospheric chemistry and physics, 3 May 2007, v. 7, no. 9, p. 2217-2232 How to cite?
Journal: Atmospheric chemistry and physics 
Abstract: A physicochemical characterization, including aerosol number size distribution, chemical composition and mass concentrations, of the urban fine aerosol captured in MILAN, BARCELONA and LONDON is presented in this article. The objective is to obtain a comprehensive picture of the microphysical processes involved in aerosol dynamics during the: 1) regular evolution of the urban aerosol (daily, weekly and seasonal basis) and in the day-to-day variations (from clean-air to pollution-events), and 2) the link between "aerosol chemistry and mass concentrations" with the "number size distribution".
The mass concentrations of the fine PM₂.₅ aerosol exhibit a high correlation with the number concentration of >100 nm particles N>100 (nm) ("accumulation mode particles") which only account for <20% of the total number concentration N of fine aerosols; but do not correlate with the number of <100 nm particles ("ultrafine particles"), which accounts for >80% of fine particles number concentration. Organic matter and black-carbon are the only aerosol components showing a significant correlation with the ultrafine particles, attributed to vehicles exhausts emissions; whereas ammonium-nitrate, ammonium-sulphate and also organic matter and black-carbon correlate with N>100 (nm) and attributed to condensation mechanisms, other particle growth processes and some primary emissions. Time series of the aerosol DpN diameter (dN/dlogD mode), mass PM₂.₅ concentrations and number N>100 (nm) concentrations exhibit correlated day-to-day variations, which point to a significant involvement of condensation of semi-volatile compounds during urban pollution events. This agrees with the observation that ammonium-nitrate is the component exhibiting the highest increases from mid-to-high pollution episodes, when the highest DpN increases are observed. The results indicates that "fine PM₂.₅ particles urban pollution events" tend to occur when condensation processes have made particles grow large enough to produce significant number concentrations of N>100 (nm) ("accumulation mode particles"). In contrast, because the low contribution of ultrafine particles to the fine aerosol mass concentrations, high "ultrafine particles N<100(nm) events" frequently occurs under low PM₂.₅ conditions. The results of this study demonstrate that vehicles exhausts emissions are strongly involved in this ultrafine particles aerosol pollution.
URI: http://hdl.handle.net/10397/6975
ISSN: 1680-7316
EISSN: 1680-7324
DOI: 10.5194/acp-7-2217-2007
Rights: © Author(s) 2007. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Rodríguez_study_relationship_mass.pdf9.11 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

86
Last Week
1
Last month
0
Citations as of Aug 15, 2017

WEB OF SCIENCETM
Citations

83
Last Week
0
Last month
0
Citations as of Aug 20, 2017

Page view(s)

85
Last Week
0
Last month
Checked on Aug 20, 2017

Download(s)

34
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.