@article{Amato2014, author = {Amato, F. and Rivas, I. and Viana, M. and Moreno, T. and Bouso, L. and Reche, C. and Àlvarez-Pedrerol, M. and Alastuey, A. and Sunyer, J. and Querol, X.}, doi = {10.1016/j.scitotenv.2014.05.051}, journal = {Science of the Total Environment}, month = {aug}, pages = {757-765}, title = {Sources of indoor and outdoor PM2.5 concentrations in primary schools}, url = {https://oadoi.org/10.1016/j.scitotenv.2014.05.051}, volume = {490}, year = {2014} } @article{Amato2016, author = {Amato, Fulvio and Zandveld, Peter and Keuken, Menno and Jonkers, Sander and Querol, Xavier and Reche, Cristina and Denier van der Gon, Hugo A. C. and Schaap, Martijn}, doi = {10.1016/j.atmosenv.2015.10.078}, journal = {Atmospheric Environment}, month = {jan}, pages = {231-242}, title = {Improving the modeling of road dust levels for Barcelona at urban scale and street level}, url = {https://oadoi.org/10.1016/j.atmosenv.2015.10.078}, volume = {125}, year = {2016} } @article{Amato2016_2, abstract = {Abstract. 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 %). }, author = {Amato, Fulvio and Alastuey, Andrés and Karanasiou, Angeliki and Lucarelli, Franco and Nava, Silvia and Calzolai, Giulia and Severi, Mirko and Becagli, Silvia and Gianelle, Vorne L. and Colombi, Cristina and Alves, Celia and Custódio, Danilo and Nunes, Teresa and Cerqueira, Mario and Pio, Casimiro and Eleftheriadis, Konstantinos and Diapouli, Evangelia and Reche, Cristina and Minguillón, María Cruz and Manousakas, Manousos-Ioannis and Maggos, Thomas and Vratolis, Stergios and Harrison, Roy M. and Querol, Xavier}, doi = {10.5194/acp-16-3289-2016}, journal = {Atmospheric Chemistry and Physics}, month = {mar}, pages = {3289-3309}, title = {AIRUSE-LIFE+: a harmonized PM speciation and source apportionment in five southern European cities}, url = {https://doi.org/10.5194/acp-16-3289-2016}, volume = {16}, year = {2016} } @article{Belis2015, abstract = {The performance and the uncertainty of receptor models (RMs) were assessed in intercomparison exercises employing real-world and synthetic input datasets. To that end, the results obtained by different practitioners using ten different RMs were compared with a reference. In order to explain the differences in the performances and uncertainties of the different approaches, the apportioned mass, the number of sources, the chemical profiles, the contribution-to-species and the time trends of the sources were all evaluated using the methodology described in Belis et al. (2015). In this study, 87% of the 344 source contribution estimates (SCEs) reported by participants in 47 different source apportionment model results met the 50% standard uncertainty quality objective established for the performance test. In addition, 68% of the SCE uncertainties reported in the results were coherent with the analytical uncertainties in the input data. The most used models, EPA-PMF v.3, PMF2 and EPA-CMB 8.2, presented quite satisfactory performances in the estimation of SCEs while unconstrained models, that do not account for the uncertainty in the input data (e.g. APCS and FA-MLRA), showed below average performance. Sources with well-defined chemical profiles and seasonal time trends, that make appreciable contributions (>10%), were those better quantified by the models while those with contributions to the PM mass close to 1% represented a challenge. The results of the assessment indicate that RMs are capable of estimating the contribution of the major pollution source categories over a given time window with a level of accuracy that is in line with the needs of air quality management}, author = {Belis, Claudio A. and Karagulian, Federico and Amato, Fulvio and Almeida, Manuel and Artaxo, Paulo and Beddows, David C. S. and Bernardoni, Vera and Bove, Mc C. and Carbone, Samara and Cesari, Daniela and Contini, Daniele and Cuccia, Eleonora and Diapouli, Evangelia and Eleftheriadis, Konstantinos and Favez, Olivier and El Haddad, Imad and Harrison, Rm M. and Hellebust, Stig and Hovorka, Jan A. N. and Jang, Eunhwa and Jorquera, Hector and Kammermeier, Tom and Karl, Matthias and Lucarelli, Franco and Mooibroek, Dennis and Nava, Silvia and Nøjgaard, Jacob Klenø and Paatero, Pentti and Pandolfi, Marco and Perrone, Mg G. and Petit, Je E. and Pietrodangelo, Adriana and Pokorná, Pavla and Prati, Paolo and Prevot, Ash S. H. and Quass, Ulrich and Querol, Xavier and Saraga, Dikaia E. and Sciare, Jean and Sfetsos, Athanasios and Valli, Gianluigi and Vecchi, Roberta and Vestenius, Mika and Yubero, Eduardo and Hopke, Pk K.}, doi = {10.1016/j.atmosenv.2015.10.068}, journal = {Atmospheric Environment}, month = {dec}, pages = {240-250}, title = {A new methodology to assess the performance and uncertainty of source apportionment models II: The results of two European intercomparison exercises}, url = {http://hdl.handle.net/11250/2382150}, volume = {123}, year = {2015} } @article{Dadvand2015, author = {Dadvand, Payam and Rivas, Ioar and Basagaña, Xavier and Alvarez-Pedrerol, Mar and Su, Jason and De Castro Pascual, Montserrat and Amato, Fulvio and Jerret, Michael and Querol, Xavier and Sunyer, Jordi and Nieuwenhuijsen, Mark J.}, doi = {10.1016/j.scitotenv.2015.03.103}, journal = {Science of the Total Environment}, month = {aug}, pages = {59-63}, title = {The association between greenness and traffic-related air pollution at schools}, url = {https://oadoi.org/10.1016/j.scitotenv.2015.03.103}, volume = {523}, year = {2015} } @article{Lucarelli2015, author = {Lucarelli, F. and Chiari, M. and Calzolai, G. and Giannoni, M. and Nava, S. and Udisti, R. and Severi, M. and Querol, X. and Amato, F. and Alves, C. and Eleftheriadis, K.}, doi = {10.1016/j.nimb.2015.08.023}, journal = {Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms}, month = {nov}, pages = {92-98}, title = {The role of PIXE in the AIRUSE project “testing and development of air quality mitigation measures in Southern Europe”}, url = {https://oadoi.org/10.1016/j.nimb.2015.08.023}, volume = {363}, year = {2015} } @article{Martins2015, abstract = {The Barcelona subway system comprises eight subway lines, at different depths, with different tunnel dimensions, station designs and train frequencies. An extensive measurement campaign was performed in this subway system in order to characterise the airborne particulate matter (PM) measuring its concentration and investigating its variability, both inside trains and on platforms, in two different seasonal periods (warmer and colder), to better understand the main factors controlling it, and therefore the way to improve air quality. The majority of PM in the underground stations is generated within the subway system, due to abrasion and wear of rail tracks, wheels and braking pads caused during the motion of the trains. Substantial variation in average PM concentrations between underground stations was observed, which might be associated to different ventilation and air conditioning systems, characteristics/design of each station and variations in the train frequency. Average PM2.5 concentrations on the platforms in the subway operating hours ranged from 20 to 51 and from 41 to 91 μg m− 3 in the warmer and colder period, respectively, mainly related to the seasonal changes in the subway ventilation systems. The new subway lines with platform screen doors showed PM2.5 concentrations lower than those in the conventional system, which is probably attributable not only to the more advanced ventilation setup, but also to the lower train frequency and the design of the stations. PM concentrations inside the trains were generally lower than those on the platforms, which is attributable to the air conditioning systems operating inside the trains, which are equipped with air filters. This study allows the analysis and quantification of the impact of different ventilation settings on air quality, which provides an improvement on the knowledge for the general understanding and good management of air quality in the subway system.}, author = {Martins, Vânia and Moreno, Teresa and Minguillón, María Cruz and Amato, Fulvio and de Miguel, Eladio and Capdevila, Marta and Querol, Xavier}, doi = {10.1016/j.scitotenv.2014.12.013}, journal = {Science of the Total Environment}, month = {jan}, pages = {711-722}, title = {Exposure to airborne particulate matter in the subway system}, url = {https://doi.org/10.1016/j.scitotenv.2014.12.013}, volume = {511}, year = {2015} } @article{Minguillón2015, abstract = {The vertical profiles (up to 980 m a.s.l.) of ultrafine and micronic particles across the planetary boundary layer and the free troposphere over a Mediterranean urban environment were investigated. Measurements were carried out using a tethered balloon equipped with a miniaturized condensation particle counter, a miniaturized optical particle counter, a micro-aethalometer, a rotating impactor, and meteorological instrumentation. Simultaneous ground measurements were carried out at an urban and a regional background site. New particle formation episodes initiating in the urban area were observed under high insolation conditions. The precursors were emitted by the city and urban photochemically-activated nucleation occurred both at high atmospheric levels (tens to hundreds of metres) and at ground level. The new particle formation at ground level was limited by the high particulate matter concentrations recorded during the morning traffic rush hours that increase the condensation sink and prevent new particle formation, and therefore restricted to midday and early afternoon. The aloft new particle formation occurred earlier as the thermally ascending polluted air mass was diluted. The regional background was only affected from midday and early afternoon when sea and mountain breezes transported the urban air mass after particle growth. These events are different from most new particle formation events described in literature, characterized by a regionally originated nucleation, starting early in the morning in the regional background and persisting with a subsequent growth during a long period. An idealized and simplified model of the spatial and time occurrence of these two types of new particle formation episodes into, around and over the city was elaborated.}, author = {Minguillón, M. C. and Brines, M. and Pérez, N. and Reche, C. and Pandolfi, M. and Fonseca, A. S. and Amato, F. and Alastuey, A. and Lyasota, A. and Codina, B. and Lee, H.-K. and Eun, H.-R. and Ahn, K.-H. and Querol, X.}, doi = {10.1016/j.atmosres.2015.05.003}, journal = {Atmospheric Research}, month = {may}, pages = {118-130}, title = {New particle formation at ground level and in the vertical column over the Barcelona area}, url = {https://doi.org/10.1016/j.atmosres.2015.05.003}, volume = {164-165}, year = {2015} } @article{Moreno2014, abstract = {A high resolution air quality monitoring campaign (PM, CO2 and CO) was conducted on differently designed station platforms in the Barcelona subway system under: (a) normal forced tunnel ventilation, and (b) with daytime tunnel ventilation systems shut down. PM concentrations are highly variable (6–128 μgPM1 m−3, 16–314 μgPM3 m−3, and 33–332 μgPM10 m−3, 15-min averages) depending on ventilation conditions and station design. Narrow platforms served by single-track tunnels are heavily dependent on forced tunnel ventilation and cannot rely on the train piston effect alone to reduce platform PM concentrations. In contrast PM levels in stations with spacious double-track tunnels are not greatly affected when tunnel ventilation is switched off, offering the possibility of significant energy savings without damaging air quality. Sampling at different positions along the platform reveals considerable lateral variation, with the greatest accumulation of particulates occurring at one end of the platform. Passenger accesses can dilute PM concentrations by introducing cleaner outside air, although lateral down-platform accesses are less effective than those positioned at the train entry point. CO concentrations on the platform are very low (≤1 ppm) and probably controlled by ingress of traffic-contaminated street-level air. CO2 averages range from 371 to 569 ppm, changing during the build-up and exchange of passengers with each passing train.}, author = {Moreno, T. and Pérez, N. and Reche, C. and Martins, V. and de Miguel, E. and Capdevila, M. and Centelles, S. and Minguillon, M. C. and Amato, F. and Alastuey, A. and Querol, X. and Gibbons, W.}, doi = {10.1016/j.atmosenv.2014.04.043}, journal = {Atmospheric Environment}, month = {aug}, pages = {461-468}, title = {Subway platform air quality: Assessing the influences of tunnel ventilation, train piston effect and station design}, url = {https://doi.org/10.1016/j.atmosenv.2014.04.043}, volume = {92}, year = {2014} } @article{Moreno2015, abstract = {Most particles breathed on rail subway platforms are highly ferruginous (FePM) and extremely small (nanometric to a few microns in size). High magnification observations of particle texture and chemistry on airborne PM10 samples collected from the Barcelona Metro, combined with published experimental work on particle generation by frictional sliding, allow us to propose a general model to explain the origin of most subway FePM. Particle generation occurs by mechanical wear at the brake-wheel and wheel-rail interfaces, where magnetic metallic flakes and splinters are released and undergo progressive atmospheric oxidation from metallic iron to magnetite and maghemite. Flakes of magnetite typically comprise mottled mosaics of octahedral nanocrystals (10-20 nm) that become pseudomorphed by maghemite. Continued oxidation results in extensive alteration of the magnetic nanostructure to more rounded aggregates of non-magnetic hematite nanocrystals, with magnetic precursors (including iron metal) still preserved in some particle cores. Particles derived from steel wheel and rails contain a characteristic trace element chemistry, typically with Mn/Fe = 0.01. Flakes released from brakes are chemically very distinctive, depending on the pad composition, being always carbonaceous, commonly barium-rich, and texturally inhomogeneous, with trace elements present in nanominerals incorporated within the crystalline structure. In the studied subway lines of Barcelona at least there appears to be only a minimal aerosol contribution from high temperature processes such as sparking. To date there is no strong evidence that these chemically and texturally complex inhalable metallic materials are any more or less toxic than street-level urban particles, and as with outdoor air, the priority in subway air quality should be to reduce high mass concentrations of aerosol present in some stations. (C) 2014 The Authors. Published by Elsevier B.V.}, author = {Moreno, Teresa and Martins, Vânia and Querol, Xavier and Jones, Tim and BéruBé, Kelly and Minguillón, Maria Cruz and Amato, Fulvio and Capdevila, Marta and de Miguel, Eladio and Centelles, Sonia and Gibbons, Wes}, doi = {10.1016/j.scitotenv.2014.10.013}, journal = {Science of the Total Environment}, month = {feb}, pages = {367-375}, title = {A new look at inhalable metalliferous airborne particles on rail subway platforms}, url = {https://www.researchgate.net/profile/Teresa_Moreno2/publication/267571956_A_new_look_at_inhalable_metalliferous_airborne_particles_on_rail_subway_platforms/links/54e3261a0cf2de71a71e1b10.pdf}, volume = {505}, year = {2015} } @article{Moreno2015_2, author = {Moreno, Teresa and Reche, Cristina and Rivas, Ioar and Cruz Minguillón, Maria and Minguillón, Maria Cruz and Martins, Vânia and Vargas, Concepción and Buonanno, Giorgio and Trassiera, Concepcion Vargas and Parga, Jesus and Pandolfi, Marco and Brines, Mariola and Ealo, Marina and Fonseca, Ana Sofia and Sofia Fonseca, Ana and Amato, Fulvio and Sosa, Garay and Capdevila, Marta and de Miguel, Eladio and Querol, Xavier and Gibbons, Wes and Other, And}, doi = {10.1016/j.envres.2015.07.022}, journal = {Environmental Research}, month = {aug}, pages = {495-510}, title = {Urban air quality comparison for bus, tram, subway and pedestrian commutes in Barcelona}, url = {https://doi.org/10.1016/j.envres.2015.07.022}, volume = {142}, year = {2015} } @article{Moreno2019, author = {Moreno, Teresa and Pacitto, Antonio and Fernández, Amaia and Amato, Fulvio and Marco, Esther and Grimalt, Joan O. and Buonanno, Giorgio and Querol, Xavier}, doi = {10.1016/j.envres.2019.02.042}, journal = {Environmental Research}, month = {may}, pages = {529-542}, title = {Vehicle interior air quality conditions when travelling by taxi}, url = {https://oadoi.org/10.1016/j.envres.2019.02.042}, volume = {172}, year = {2019} } @article{Nava2015, author = {Nava, S. and Lucarelli, F. and Amato, F. and Becagli, S. and Calzolai, G. and Chiari, M. and Giannoni, M. and Traversi, R. and Udisti, R.}, doi = {10.1016/j.scitotenv.2014.11.034}, journal = {Science of the Total Environment}, month = {apr}, pages = {11-20}, title = {Biomass burning contributions estimated by synergistic coupling of daily and hourly aerosol composition records}, url = {https://oadoi.org/10.1016/j.scitotenv.2014.11.034}, volume = {511}, year = {2015} } @article{Padoan2017, author = {Padoan, Elio and Ajmone-Marsan, Franco and Querol, Xavier and Amato, Fulvio}, doi = {10.1016/j.envpol.2017.10.115}, journal = {Environmental Pollution}, month = {nov}, title = {An empirical model to predict road dust emissions based on pavement and traffic characteristics}, url = {https://oadoi.org/10.1016/j.envpol.2017.10.115}, year = {2017} } @article{Pepe2019, author = {Pepe, N. and Pirovano, G. and Balzarini, A. and Toppetti, A. and Riva, G. M. and Amato, F. and Lonati, G.}, doi = {10.1016/j.aeaoa.2019.100020}, journal = {Atmospheric Environment: X}, month = {apr}, pages = {100020}, title = {Enhanced CAMx source apportionment analysis at an urban receptor in Milan based on source categories and emission regions}, url = {https://oadoi.org/10.1016/j.aeaoa.2019.100020}, volume = {2}, year = {2019} } @article{Ramírez2019, author = {Ramírez, Omar and Sánchez de la Campa, Ana M. and Amato, Fulvio and Moreno, Teresa and Silva, Luis F. and de la Rosa, Jesús D.}, doi = {10.1016/j.scitotenv.2018.10.214}, journal = {Science of the Total Environment}, month = {feb}, pages = {434-446}, title = {Physicochemical characterization and sources of the thoracic fraction of road dust in a Latin American megacity}, url = {https://oadoi.org/10.1016/j.scitotenv.2018.10.214}, volume = {652}, year = {2019} } @article{Reche2018, author = {Reche, C. and Moreno, T. and Amato, F. and Pandolfi, M. and Pérez, J. and de la Paz, D. and Diaz, E. and Gómez-Moreno, F. J. and Pujadas, M. and Artíñano, B. and Reina, F. and Orio, A. and Pallarés, M. and Escudero, M. and Tapia, O. and Crespo, E. and Vargas, R. and Alastuey, A. and Querol, X.}, doi = {10.1016/j.atmosenv.2018.05.002}, journal = {Atmospheric Environment}, month = {jul}, pages = {207-220}, title = {Spatio-temporal patterns of high summer ozone events in the Madrid Basin, Central Spain}, url = {https://oadoi.org/10.1016/j.atmosenv.2018.05.002}, volume = {185}, year = {2018} } @article{Rivas2014, abstract = {Proximity to road traffic involves higher health risks because of atmospheric pollutants. In addition to outdoor air, indoor air quality contributes to overall exposure. In the framework of the BREATHE study, indoor and outdoor air pollution was assessed in 39 schools in Barcelona. The study quantifies indoor and outdoor air quality during school hours of the BREATHE schools. High levels of fine particles (PM2.5), nitrogen dioxide (NO2), equivalent black carbon (EBC), ultrafine particle (UFP) number concentration and road traffic related trace metals were detected in school playgrounds and indoor environments. PM2.5 almost doubled (factor of 1.7) the usual urban background (UB) levels reported for Barcelona owing to high school-sourced PM2.5 contributions: [1] an indoor-generated source characterised mainly by organic carbon (OC) from organic textile fibres, cooking and other organic emissions, and by calcium and strontium (chalk dust) and; [2] mineral elements from sand-filled playgrounds, detected both indoors and outdoors. The levels of mineral elements are unusually high in PM2.5 because of the breakdown of mineral particles during playground activities. Moreover, anthropogenic PM components (such as OC and arsenic) are dry/wet deposited in this mineral matter. Therefore, PM2.5 cannot be considered a good tracer of traffic emissions in schools despite being influenced by them. On the other hand, outdoor NO2, EBC, UFP, and antimony appear to be good indicators of traffic emissions. The concentrations of NO2 are 1.2 times higher at schools than UB, suggesting the proximity of some schools to road traffic. Indoor levels of these traffic-sourced pollutants are very similar to those detected outdoors, indicating easy penetration of atmospheric pollutants. Spatial variation shows higher levels of EBC, NO2, UFP and, partially, PM2.5 in schools in the centre than in the outskirts of Barcelona, highlighting the influence of traffic emissions. Mean child exposure to pollutants in schools in Barcelona attains intermediate levels between UB and traffic stations.}, author = {Rivas, I. and Viana, M. and Moreno, T. and Pandolfi, M. and Amato, F. and Reche, C. and Bouso, L. and Àlvarez Pedrerol, M. and Alvarez Pedrerol, M. and Alastuey, A. and Sunyer, J. and Querol, X.}, doi = {10.1016/j.envint.2014.04.009}, journal = {Environment International}, month = {may}, pages = {200-212}, title = {Child exposure to indoor and outdoor air pollutants in schools in Barcelona, Spain}, url = {https://doi.org/10.1016/j.envint.2014.04.009}, volume = {69}, year = {2014} } @article{Rivas2015, author = {Rivas, I. and Viana, M. and Moreno, T. and Pandolfi, M. and Amato, F. and Reche, C. and Bouso, L. and Àlvarez Pedrerol, M. and Alastuey, A. and Sunyer, J. and Querol, X.}, doi = {10.1016/j.envint.2015.02.012}, journal = {Environment International}, month = {mar}, pages = {97}, title = {Corrigendum to ‘Child exposure to indoor and outdoor air pollutants in schools in Barcelona, Spain’[Environment International 69C (2014) 200–212]}, url = {https://doi.org/10.1016/j.envint.2015.02.012}, volume = {78}, year = {2015} } @article{Vicente2015, abstract = {Seven fuels (four types of wood pellets and three agro-fuels) were tested in an automatic pellet stove (9.5 kWth) in order to determine emission factors (EFs) of gaseous compounds, such as carbon monoxide (CO), methane (CH4), formaldehyde (HCHO), and total organic carbon (TOC). Particulate matter (PM10) EFs and the corresponding chemical compositions for each fuel were also obtained. Samples were analysed for organic carbon (OC) and elemental carbon (EC), anhydrosugars and 57 chemical elements. The fuel type clearly affected the gaseous and particulate emissions. The CO EFs ranged from 90.9 ± 19.3 (pellets type IV) to 1480 ± 125 mg MJ-1 (olive pit). Wood pellets presented the lowest TOC emission factor among all fuels. HCHO and CH4 EFs ranged from 1.01 ± 0.11 to 36.9 ± 6.3 mg MJ-1 and from 0.23 ± 0.03 to 28.7 ± 5.7 mg MJ-1, respectively. Olive pit was the fuel with highest emissions of these volatile organic compounds. The PM10 EFs ranged from 26.6 ± 3.14 to 169 ± 23.6 mg MJ-1. The lowest PM10 emission factor was found for wood pellets type I (fuel with low ash content), whist the highest was observed during the combustion of an agricultural fuel (olive pit). The OC content of PM10 ranged from 8 wt.% (pellets type III) to 29 wt.% (olive pit). Variable EC particle mass fractions, ranging from 3 wt.% (olive pit) to 47 wt.% (shell of pine nuts), were also observed. The carbonaceous content of particulate matter was lower than that reported previously during the combustion of several wood fuels in traditional woodstoves and fireplaces. Levoglucosan was the most abundant anhydrosugar, comprising 0.02-3.03 wt.% of the particle mass. Mannosan and galactosan were not detected in almost all samples. Elements represented 11-32 wt.% of the PM10 mass emitted, showing great variability depending on the type of biofuel used.}, author = {Vicente, E. D. and Duarte, M. A. and Tarelho, L. A. C. and Nunes, T. F. and Amato, F. and Querol, X. and Colombi, C. and Gianelle, V. and Alves, C. A.}, doi = {10.1016/j.atmosenv.2015.08.067}, journal = {Atmospheric Environment}, month = {aug}, pages = {15-27}, title = {Particulate and gaseous emissions from the combustion of different biofuels in a pellet stove}, url = {https://www.researchgate.net/profile/Celia_Alves2/publication/282743128_Particulate_and_gaseous_emissions_from_the_combustion_of_different_biofuels_in_a_pellet_stove/links/564eea7708ae1ef9296d2fdb.pdf}, volume = {120}, year = {2015} }