Celia Alves

Dr. Celia Alves

Department of Environment, Centre for Environmental and Marine Studies, University of Aveiro, Portugal
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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1 November 2011 in Atmospheric Environment
Verified
Journal Article
Closed access
CPCasimiro Pio
Casimiro Pio
MCMário Cerqueira
Mário Cerqueira
RHRoy M. Harrison
Roy M. Harrison
TNTeresa Nunes
Teresa Nunes
Fátima MiranteFátima Mirante
Fátima Mirante
MMManuel Matos
Manuel Matos

1 February 2013 in Atmospheric Research
Verified
Journal Article
Closed access
ANA CALVOANA CALVO
ANA CALVO
Celia AlvesCelia Alves
Celia Alves
ACA. Castro
A. Castro
VPV. Pont
V. Pont
Ana Margarida VicenteAna Margarida Vicente
Ana Margarida Vicente
RFRoberto Fraile
Roberto Fraile

14 March 2016 in Atmospheric Chemistry and Physics
Verified
Journal Article
Open access
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FAFulvio Amato
Fulvio Amato
Andrés Alastuey UrósAndrés Alastuey Urós
Andrés Alastuey Urós
Angeliki KaranasiouAngeliki Karanasiou
Angeliki Karanasiou
FLFranco Lucarelli
Franco Lucarelli
SNSilvia Nava
Silvia Nava
XQXavier Querol
Xavier Querol
The AIRUSE-LIFE+ project aims at characterizing similarities and heterogeneities in particulate matter (PM) sources and contributions in urban areas from southern Europe. Once the main PMx sources are identified, AIRUSE aims at developing and testing the efficiency of specific and non-specific measures to improve urban air quality. This article reports the results of the source apportionment of PM10 and PM2.5 conducted at three urban background sites (Barcelona, Florence and Milan, BCN-UB, FI-UB and MLN-UB), one suburban background site (Athens, ATH-SUB) and one traffic site (Porto, POR-TR). After collecting 1047 PM10 and 1116 PM2.5 24 h samples during 12 months (from January 2013 on) simultaneously at the five cities, these were analysed for the contents of OC, EC, anions, cations, major and trace elements and levoglucosan. The USEPA PMF5 receptor model was applied to these data sets in a harmonized way for each city. The sum of vehicle exhaust (VEX) and non-exhaust (NEX) contributes between 3.9 and 10.8 µg m−3 (16–32 %) to PM10 and 2.3 and 9.4 µg m−3 (15–36 %) to PM2.5, although a fraction of secondary nitrate is also traffic-related but could not be estimated. Important contributions arise from secondary particles (nitrate, sulfate and organics) in PM2.5 (37–82 %) but also in PM10 (40–71 %), mostly at background sites, revealing the importance of abating gaseous precursors in designing air quality plans. Biomass burning (BB) contributions vary widely, from 14–24 % of PM10 in POR-TR, MLN-UB and FI-UB, 7 % in ATH-SUB, to < 2 % in BCN-UB. In PM2.5, BB is the second most important source in MLN-UB (21 %) and in POR-TR (18 %), the third one in FI-UB (21 %) and ATH-SUB (11 %), but is again negligible (< 2 %) in BCN-UB. This large variability among cities is mostly due to the degree of penetration of biomass for residential heating. In Barcelona natural gas is very well supplied across the city and is used as fuel in 96 % of homes, while in other cities, PM levels increase on an annual basis by 1–9 µg m−3 due to biomass burning influence. Other significant sources are the following. – Local dust, 7–12 % of PM10 at SUB and UB sites and 19 % at the TR site, revealing a contribution from road dust resuspension. In PM2.5 percentages decrease to 2–7 % at SUB-UB sites and 15 % at the TR site. – Industry, mainly metallurgy, contributing 4–11 % of PM10 (5–12 % in PM2.5), but only at BCN-UB, POR-TR and MLN-UB. No clear impact of industrial emissions was found in FI-UB and ATH-SUB. – Natural contributions from sea salt (13 % of PM10 in POR-TR, but only 2–7 % in the other cities) and Saharan dust (14 % in ATH-SUB, but less than 4 % in the other cities). During high pollution days, the largest sources (i.e. excluding secondary aerosol factors) of PM10 and PM2.5 are VEX + NEX in BCN-UB (27–22 %) and POR-TR (31–33 %), BB in FI-UB (30–33 %) and MLN-UB (35–26 %) and Saharan dust in ATH-SUB (52–45 %). During those days, there are also quite important industrial contributions in BCN-UB (17–18 %) and local dust in POR-TR (28–20 %).

1 January 2018 in Atmospheric Research
Verified
Journal Article
Closed access
EVEstela D. Vicente
Estela D. Vicente
Celia AlvesCelia Alves
Celia Alves

21 December 2011 in Atmospheric Chemistry and Physics
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Journal Article
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MKM. Kulmala
M. Kulmala
AAA. Asmi
A. Asmi
HLH. K. Lappalainen
H. K. Lappalainen
UBU. Baltensperger
U. Baltensperger
JBJ.-L. Brenguier
J.-L. Brenguier
SPSpyros Pandis
Spyros Pandis
In this paper we describe and summarize the main achievements of the European Aerosol Cloud Climate and Air Quality Interactions project (EUCAARI). EUCAARI started on 1 January 2007 and ended on 31 December 2010 leaving a rich legacy including: (a) a comprehensive database with a year of observations of the physical, chemical and optical properties of aerosol particles over Europe, (b) comprehensive aerosol measurements in four developing countries, (c) a database of airborne measurements of aerosols and clouds over Europe during May 2008, (d) comprehensive modeling tools to study aerosol processes fron nano to global scale and their effects on climate and air quality. In addition a new Pan-European aerosol emissions inventory was developed and evaluated, a new cluster spectrometer was built and tested in the field and several new aerosol parameterizations and computations modules for chemical transport and global climate models were developed and evaluated. These achievements and related studies have substantially improved our understanding and reduced the uncertainties of aerosol radiative forcing and air quality-climate interactions. The EUCAARI results can be utilized in European and global environmental policy to assess the aerosol impacts and the corresponding abatement strategies.

1 October 2008 in Atmospheric Environment
Verified
Journal Article
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CPC.A. Pio
C.A. Pio
MLM. Legrand
M. Legrand
Celia AlvesCelia Alves
Celia Alves
TOT. Oliveira
T. Oliveira
JAJ. Afonso
J. Afonso
AGA. Gelencsér
A. Gelencsér