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Rethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging

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A European aerosol phenomenology—1: physical characteristics of particulate matter at kerbside, urban, rural and background sites in Europe

Dingenen, R. V., elisabeth, R. F. P., Putaud, J.-P., Baltensperger, U., Charron, A., Facchini, M. C., Decesari, S., Fuzzi, S., Gehrig, R., Hansson, H., et al. (2004) · Atmospheric Environment · doi:10.1016/j.atmosenv.2004.01.040 · Cited by 1,011

Chemical characterization of particulate emissions from diesel engines: A review

Maricq, M. M. (2007) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2007.08.001 · Cited by 881

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PM10 and PM2.5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain

Querol, X. (2001) · Atmospheric Environment · doi:10.1016/s1352-2310(01)00361-2 · Cited by 675

Speciation and origin of PM10 and PM2.5 in selected European cities

Querol, X., Alástuey, A., Ruiz, C. R., Artı́ñano, B., Hansson, H., Harrison, R. M., Buringh, E., ten Brink, H. M., Lutz, M., Brückmann, P., et al. (2004) · Atmospheric Environment · doi:10.1016/j.atmosenv.2004.08.037 · Cited by 616

Quantifying road dust resuspension in urban environment by multilinear engine: a comparison with PMF2

Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez, N., & Hopke, P. K. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.02.039 · Cited by 584

Spatial and chemical patterns of PM10 in road dust deposited in urban environment

Amato, F., Pandolfi, M., Viana, M., Querol, X., Alástuey, A., & Moreno, T. (2008) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.12.009 · Cited by 483

Primary particle formation from vehicle emissions during exhaust dilution in the roadside atmosphere

Charron, A., & Harrison, R. M. (2003) · Atmospheric Environment · doi:10.1016/s1352-2310(03)00510-7 · Cited by 360

Characterizing spatiotemporal distributions of black carbon and PM2.5 at a toll station: Observations on manual and electronic toll collection lanes

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Estimation of the concentration of nano-carbon black in tire-wear particles using emission factors of PM10, PM2.5, and black carbon

Kim, J., Park, E., Moon, H., Son, H., Hong, J., Wi, E., Kwon, J., Seo, D. Y., Lee, H., & Kim, Y. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.134976 · Cited by 30

Traffic tracers in a suburban location in northern Spain: relationship between carbonaceous fraction and metals

Megido, L., Negral, L., Castrillón, L., Marañón, E., Fernández-Nava, Y., & Suárez-Peña, B. (2016) · Environmental Science and Pollution Research · doi:10.1007/s11356-015-5955-8 · Cited by 29

Realizing the opportunities of black carbon in urban soils: Implications for water quality management with green infrastructure

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Source apportionment of urban PM1 in Barcelona during SAPUSS using organic and inorganic components

Brines, M., Dall’Osto, M., Amato, F., Minguillón, M. C., Karanasiou, A., Grimalt, J. O., Alástuey, A., Querol, X., & van Drooge, B. L. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-06199-3 · Cited by 28

Long-Term Characterization of Submicron Atmospheric Particles in an Urban Background Site in Southern Italy

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Indoor exposure of elderly to air pollutants in residential buildings in Alexandria, Egypt

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The size‐dependent apoptotic effect of titanium dioxide nanoparticles on endothelial cells by the intracellular pathway

Zeng, C., Feng, Y., Wang, W., Zhou, F., Liao, F., Liu, Y., & Feng, S. (2018) · Environmental Toxicology · doi:10.1002/tox.22628 · Cited by 28

Spatial–temporal variations of particle number concentrations between a busy street and the urban background

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Variability of airborne particle metrics in an urban area

Rizza, V., Stabile, L., Buonanno, G., & Morawska, L. (2016) · Environmental Pollution · doi:10.1016/j.envpol.2016.10.013 · Cited by 27

Characteristics and source apportionment of winter black carbon aerosols in two Chinese megacities of Xi’an and Hong Kong

Zhang, Q., Shen, Z., Ning, Z., Wang, Q., Cao, J., Lei, Y., Sun, J., Zeng, Y., Westerdahl, D., Wang, X., et al. (2018) · Environmental Science and Pollution Research · doi:10.1007/s11356-018-3309-z · Cited by 27

Machine learning models to quantify the influence of PM10 aerosol concentration on global solar radiation prediction in South Africa

Govindasamy, T. R., & Chetty, N. (2021) · Cleaner Engineering and Technology · doi:10.1016/j.clet.2021.100042 · Cited by 27

Overview of PM10, PM2.5 and BC and Their Dependent Relationships with Meteorological Variables in an Urban Area in Northwestern Morocco

Bounakhla, Y., Benchrif, A., Costabile, F., Tahri, M., Gourch, B. E., Hassan, E. K. E., Zahry, F., & Bounakhla, M. (2023) · Atmosphere · doi:10.3390/atmos14010162 · Cited by 27

A novel approach to comparing simultaneous size-segregated particulate matter (PM) concentration ratios by means of a dedicated triangular diagram using the Agri Valley PM measurements as an example

Speranza, A., Caggiano, R., Margiotta, S., & Trippetta, S. (2014) · Natural hazards and earth system sciences · doi:10.5194/nhess-14-2727-2014 · Cited by 27

Air Quality Data for Catania: Analysis and Investigation Case Study 2010–2011

Lanzafame, R., Scandura, P. F., Famoso, F., Monforte, P., & Oliveri, C. (2014) · Energy Procedia · doi:10.1016/j.egypro.2014.01.073 · Cited by 27

2011–2020 trends of urban and regional ammonia in and around Barcelona, NE Spain

Reche, C., Pérez, N., Alástuey, A., Cots, N., Pérez, E., & Querol, X. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.135347 · Cited by 26

Size Distribution of Dry Matter of Particles in the Surface Atmospheric Layer in the Suburban Region of Tomsk within the Empirical Classification of Aerosol Weather Types

Panchenko, M. V., Pol'kin, V. V., Pol’kin, V. V., Kozlov, V. S., Yausheva, E. P., & Shmargunov, V. P. (2019) · Atmospheric and Oceanic Optics · doi:10.1134/s1024856019060113 · Cited by 24

Variability of air pollutants, and PM composition and sources at a regional background site in the Balearic Islands: Review of western Mediterranean phenomenology from a 3-year study

Cerro, J. C., Cerdà, V., Querol, X., Alástuey, A., Bujosa, C., & Pey, J. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.137177 · Cited by 24

Road Traffic: A Major Source of Particulate Matter in Europe

Amato, F., Schaap, M., Reche, C., & Querol, X. (2013) · The handbook of environmental chemistry · doi:10.1007/698_2012_211 · Cited by 24

Black carbon aerosol number and mass concentration measurements by picosecond short-range elastic backscatter lidar

Ceolato, R., Bedoya-Velásquez, A. E., Fossard, F., Mouysset, V., Paulien, L., Lefebvre, S., Mazzoleni, C., SORENSEN, C. M., Berg, M. J., & Yon, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-11954-7 · Cited by 23

Insights into the Composition and Sources of Rural, Urban and Roadside Carbonaceous PM10

Heal, M. R., & Hammonds, M. (2014) · Environmental Science & Technology · doi:10.1021/es500871k · Cited by 23

Organic molecular tracers in atmospheric PM1 at urban intensive traffic and background sites in two high-insolation European cities

van Drooge, B. L., Fontal, M., Fernández, P., Fernández, M. A., Muñoz-Arnanz, J., Jiménez, B., & Grimalt, J. O. (2018) · Atmospheric Environment · doi:10.1016/j.atmosenv.2018.06.024 · Cited by 23

Comparative analysis of urban road dust compositions in relation to their potential human health impacts

Koh, B., & Kim, E.-A. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.113156 · Cited by 23

The turbulent future brings a breath of fresh air

Stjern, C. W., Hodnebrog, Ø., Myhre, G., & Pisso, I. (2023) · Nature Communications · doi:10.1038/s41467-023-39298-4 · Cited by 22

Levels of black carbon and their relationship with particle number levels—observation at an urban roadside in Taipei City

Cheng, Y., Shiu, B.-T., Lin, M.-H., & Yan, J.-W. (2012) · Environmental Science and Pollution Research · doi:10.1007/s11356-012-1081-z · Cited by 22

Correlations between black carbon mass and size–resolved particle number concentrations in the Taipei urban area: A five–year long–term observation

Cheng, Y., Kao, Y., & Liu, J. (2013) · Atmospheric Pollution Research · doi:10.5094/apr.2014.008 · Cited by 22

Urban Aerosol Particle Size Characterization in Eastern Mediterranean Conditions

Hussein, T., Dada, L., Hakala, S., Petäjä, T., & Kulmala, M. (2019) · Atmosphere · doi:10.3390/atmos10110710 · Cited by 22

Organic Air Quality Markers of Indoor and Outdoor PM2.5 Aerosols in Primary Schools from Barcelona

van Drooge, B. L., Rivas, I., Querol, X., Sunyer, J., & Grimalt, J. O. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103685 · Cited by 21

Determination of total and lung-deposited particle surface area concentrations, in central Athens, Greece

Cheristanidis, S., Grivas, G., & Chaloulakou, A. (2020) · Environmental Monitoring and Assessment · doi:10.1007/s10661-020-08569-8 · Cited by 21

Road traffic and sandy playground influence on ambient pollutants in schools

Minguillón, M. C., Rivas, I., Moreno, T., Alástuey, A., Font, O., Córdoba, P., Álvarez-Pedrerol, M., Sunyer, J., & Querol, X. (2015) · Atmospheric Environment · doi:10.1016/j.atmosenv.2015.04.011 · Cited by 21

Impact of planetary boundary layer turbulence on model climate and tracer transport

McGrath‐Spangler, E. L., Molod, A. M., Ott, L. E., & Pawson, S. (2015) · Atmospheric chemistry and physics · doi:10.5194/acp-15-7269-2015 · Cited by 21

Variability of the PM10 Concentration in the Urban Atmosphere of Sabah and Its Responses to Diurnal and Weekly Changes of CO, NO2, SO2 and Ozone

Chang, J. H. W., Chee, F. P., Kong, S. S.-K., & Sentian, J. (2018) · Asian Journal of Atmospheric Environment · doi:10.5572/ajae.2018.12.2.109 · Cited by 21

Source apportionment for online dataset at a megacity in China using a new PTT-PMF model

Gao, J., Dong, S., Yu, H., Peng, X., Wang, W., Shi, G., Han, B., Wei, Y., & Feng, Y. (2020) · Atmospheric Environment · doi:10.1016/j.atmosenv.2020.117457 · Cited by 21

Linking indoor particulate matter and black carbon with sick building syndrome symptoms in a public office building

Nezis, I., Biskos, G., Eleftheriadis, K., Fetfatzis, P., Popovicheva, O., Sitnikov, N., & Kalantzi, O. (2021) · Atmospheric Pollution Research · doi:10.1016/j.apr.2021.101292 · Cited by 21

Exploratory assessment of outdoor and indoor airborne black carbon in different locations of Hanoi, Vietnam

Tran, L. K., Quang, T. N., Hue, N. T., Đạt, M. V., Morawska, L., Nieuwenhuijsen, M. J., & Thai, P. K. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.06.146 · Cited by 20

Potential to reduce the concentrations of short-lived climate pollutants in traffic environments: A case study in a medium-sized city in Brazil

Krecl, P., Targino, A. C., Ketzel, M., Cipoli, Y. A., & Charres, I. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.01.032 · Cited by 20

Airborne Particulate Matter Monitoring Using UAVs for Smart Cities and Urban Areas

Mayuga, G. P. T., Favila, C. M., Oppus, C. M., Macatulad, E., & Lim, L. H. V. (2018) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2018.8650293 · Cited by 20

In-vehicle PM2.5 personal concentrations in winter during long distance road travel in India

Kolluru, S. S. R., Patra, A. K., & Dubey, R. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.347 · Cited by 20

Temporal characteristics of black carbon concentrations and its potential emission sources in a southern Taiwan industrial urban area

Cheng, Y., Lin, C.-C., Liu, J., & Hsieh, C.-J. (2013) · Environmental Science and Pollution Research · doi:10.1007/s11356-013-2373-7 · Cited by 19

Black carbon emissions from trucks and trains in the Midwestern and Northeastern United States from 1977 to 2007

Brown‐Steiner, B., Hess, P., Chen, J., & Donaghy, K. P. (2016) · Atmospheric Environment · doi:10.1016/j.atmosenv.2015.12.065 · Cited by 19

A clustering approach based on triangular diagram to study the seasonal variability of simultaneous measurements of PM10, PM2.5 and PM1 mass concentration ratios

Speranza, A., Caggiano, R., Margiotta, S., Summa, V., & Trippetta, S. (2016) · Arabian Journal of Geosciences · doi:10.1007/s12517-015-2158-z · Cited by 18

Influence of Biomass Burning on Temporal and Diurnal Variations of Acidic Gases, Particulate Nitrate, and Sulfate in a Tropical Urban Atmosphere

Behera, S. N., & Balasubramanian‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, R. (2014) · Advances in Meteorology · doi:10.1155/2014/828491 · Cited by 18

Inflammation response and cytotoxic effects in human THP-1 cells of size-fractionated PM10 extracts in a polluted urban site

Schilirò, T., Alessandria, L., Bonetta, S., Carraro, E., & Gilli, G. (2015) · Chemosphere · doi:10.1016/j.chemosphere.2015.11.074 · Cited by 17

Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes

Viana, M., Karatzas, K. D., Arvanitis, A., Reche, C., Escribano, M., Ibarrola‐Ulzurrun, E., Adami, P. E., Garrandes, F., & Bermon, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063561 · Cited by 17

Source attribution of carbonaceous fraction of particulate matter in the urban atmosphere based on chemical and carbon isotope composition

Skiba, A., Styszko, K., Tobler, A., Casotto, R., Gorczyca, Z., Furman, P., Samek, L., Wideł, D., Zimnoch, M., Kasper-Giebl, A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57829-x · Cited by 16

Exploratory assessment of indoor and outdoor particle number concentrations in Hanoi households

Quang, T. N., Hue, N. T., Thai, P. K., Mazaheri, M., & Morawska, L. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.04.154 · Cited by 16

Identification of wintertime carbonaceous fine particulate matter (PM2.5) sources in Kaunas, Lithuania using polycyclic aromatic hydrocarbons and stable carbon isotope analysis

Garbarienė, I., Garbaras, A., Mašalaitė, A., Čeburnis, D., Krugly, E., Kaunelienė, V., Remeikis, V., & Martuzevičius, D. (2020) · Atmospheric Environment · doi:10.1016/j.atmosenv.2020.117673 · Cited by 16

Characterizing Black Carbon Emissions from Gasoline, LPG, and Diesel Vehicles via Transient Chassis-Dynamometer Tests

Park, G., Kim, K., Park, T., Kang, S., Ban, J., Choi, S. Q., Yu, D.-G., Lee, S., Lim, Y., Kim, S., et al. (2020) · Applied Sciences · doi:10.3390/app10175856 · Cited by 16

Temporal Variability of Equivalent Black Carbon Components in Atmospheric Air in Southern Poland

Zioła, N., Błaszczak, B., & Klejnowski, K. (2021) · Atmosphere · doi:10.3390/atmos12010119 · Cited by 16

Vertical and horizontal variability of PM 10 source contributions in Barcelona during SAPUSS

Brines, M., Dall’Osto, M., Amato, F., Minguillón, M. C., Karanasiou, A., Alástuey, A., & Querol, X. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-6785-2016 · Cited by 16

PM2.5 Estimation with the WRF/Chem Model, Produced by Vehicular Flow in the Lima Metropolitan Area

Warren, R., Sánchez-Ccoyllo, O. R., Andrade, M. D. F., & Moya-Álvarez, A. S. (2018) · Open Journal of Air Pollution · doi:10.4236/ojap.2018.73011 · Cited by 16

A Spatiotemporal Prediction Model for Black Carbon in the Denver Metropolitan Area, 2009–2020

Martenies, S. E., Keller, J. P., WeMott, S., Kuiper, G., Ross, Z., Allshouse, W. B., Adgate, J. L., Starling, A. P., Dabelea, D., & Magzamen, S. L. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06451 · Cited by 15

Size-Resolved Particle Number Emission Patterns under Real-World Driving Conditions Using Positive Matrix Factorization

Domínguez-Sáez, A., Viana, M., Barrios, C. C., Rubio, J. R., Amato, F., Pujadas, M., & Querol, X. (2012) · Environmental Science & Technology · doi:10.1021/es301821n · Cited by 15

Detection and simulation of wildfire smoke impacting a Mediterranean urban atmosphere

van Drooge, B. L., Sicard, M., Stohl, A., Fontal, M., Bravo, N., Muñoz, Á., Lange, D., Fernández, P., & Grimalt, J. O. (2015) · Atmospheric Pollution Research · doi:10.1016/j.apr.2015.12.003 · Cited by 15

Toxic potential of organic constituents of submicron particulate matter (PM1) in an urban road site (Barcelona)

Mesquita, S. R., van Drooge, B. L., Dall’Osto, M., Grimalt, J. O., Barata, C., Vieira, N., Guimarães, L., & Piña, B. (2017) · Environmental Science and Pollution Research · doi:10.1007/s11356-017-9201-4 · Cited by 15

Seasonal variations of ultra-fine and submicron aerosols in Taipei, Taiwan: implications for particle formation processes in a subtropical urban area

Cheung, H. C., Chou, C. C. ‐., Chen, M., Huang, W., Huang, S.-H., Tsai, C.-Y., & Lee, C. S. L. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-1317-2016 · Cited by 15

Developing a wavelet-AI hybrid model for short- and long-term predictions of the pollutant concentration of particulate matter10

Mirzadeh, S. M., Nejadkoorki, F., Mirhoseini, S. A., & Moosavi, V. (2021) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-020-03123-y · Cited by 14

The Association between Intermodal (PM1-2.5) and PM1, PM2.5, Coarse Fraction and Meteorological Parameters in Various Environments in Central Europe

Kozáková, J., Pokorná, P., Černíková, A., Hovorka, J., Braniš, M., Moravec, P., & Schwarz, J. (2017) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2016.06.0242 · Cited by 14

Insights into the sources of ultrafine particle numbers at six European urban sites obtained by investigating COVID-19 lockdowns

Rowell, A., Brean, J., Beddows, D. C. S., Petäjä, T., Vörösmarty, M., Salma, I., Niemi, J. V., Manninen, H. E., van Pinxteren, D., Tuch, T., et al. (2024) · Atmospheric chemistry and physics · doi:10.5194/acp-24-9515-2024 · Cited by 14

Analysis on the Effect of the Mobility of Combustion Vehicles in the Environment of Cities and the Improvement in Air Pollution in Europe: A Vision for the Awareness of Citizens and Policy Makers

Carrasco, F. J. C., Guillamón, M. P., & Vicente, F. S. (2021) · Land · doi:10.3390/land10020184 · Cited by 14

Primary and secondary organic winter aerosols in Mediterranean cities under different mixing layer conditions (Barcelona and Granada)

van Drooge, B. L., Garatachea, R., Reche, C., Titos, G., Alástuey, A., Lyamani, H., Alados‐Arboledas, L., Querol, X., & Grimalt, J. O. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16366-0 · Cited by 13

Traffic congestion and air pollution: Empirical evidence before/after COVID-19 in Seoul, Korea

Jin, J., & Jin, J. (2023) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2023.2192688 · Cited by 13

Influences of natural emission sources (wildfires and Saharan dust) on the urban organic aerosol in Barcelona (Western Mediterranean Basis) during a PM event

van Drooge, B. L., López, J. F., & Grimalt, J. O. (2012) · Environmental Science and Pollution Research · doi:10.1007/s11356-012-0890-4 · Cited by 13

Quantification of multifactorial effects on particle distributions at urban neighborhood scale using machine learning and unmanned aerial vehicle measurement

Liu, X., Shi, X.-Q., Li, X., & Peng, Z. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.134494 · Cited by 12

Aerosol variability induced by atmospheric dynamics in a coastal area of Senegal, North-Western Africa

Crumeyrolle, S. N., Augustin, P., Rivellini, L.-H., Choël, M., Riffault, V., Deboudt, K., Fourmentin, M., Dieudonné, E., Delbarre, H., Derimian, Y., et al. (2019) · Atmospheric Environment · doi:10.1016/j.atmosenv.2019.01.041 · Cited by 12

Investigating the effect of spatial patterns of artificial impervious surface on PM 2.5 at the intra-urban scale

Fan, Z., Zhan, Q., Wang, Y., Shao, Z., Fan, Y., & Zhang, Y. (2024) · Geo-spatial Information Science · doi:10.1080/10095020.2024.2350179 · Cited by 11

Review of in vitro studies evaluating respiratory toxicity of aerosols: impact of cell types, chemical composition, and atmospheric processing

Salana, S., & Verma, V. (2024) · Environmental Science Processes & Impacts · doi:10.1039/d4em00475b · Cited by 13

PM 1 variability and transport conditions between an urban coastal area and a high mountain site during the cold season

Nicolás, J. F., Galindo, N., Yubero, E., Crespo, J., & Soler, R. (2015) · Atmospheric Environment · doi:10.1016/j.atmosenv.2015.07.042 · Cited by 11

Alterations in cardiovascular function by particulate matter in rats using a crossover design

Chuang, H., Lin, Y.-J., Chou, C. C. ‐., Hwang, J., Chen, C., Yan, Y., Hsieh, H.-I., Chuang, K.-J., & Cheng, T. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.08.082 · Cited by 11

Integrate machine learning and geostatistics for high-resolution mapping of ground-level PM2.5 concentrations

Liu, Y., Cao, G., & Zhao, N. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815822-7.00006-6 · Cited by 11

Determinants of traffic related atmospheric particulate matter concentrations and their associated health risk at a highway toll plaza in India

Nazneen, Patra, A. K., Kolluru, S. S. R., Dubey, R., & Kumar, S. (2023) · Atmospheric Pollution Research · doi:10.1016/j.apr.2023.101778 · Cited by 11

The Air Quality Influences of Vehicular Traffic Emissions

Behera, S. N., & Balasubramanian‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, R. (2016) · InTech eBooks · doi:10.5772/64692 · Cited by 11

Mass concentration coupled with mass loading rate for evaluating PM2.5 pollution status in the atmosphere: A case study based on dairy barns

Joo, H.-S., Park, K., Lee, K., & Ndegwa, P. M. (2015) · Environmental Pollution · doi:10.1016/j.envpol.2015.09.048 · Cited by 10

Can carbon emission reduction mitigate the PM2.5 air pollution? Evidence of the co-benefits from mitigating climate change

Wu, C., Zhou, D., Zha, D., & Hong, J. H. (2023) · Environment Development and Sustainability · doi:10.1007/s10668-023-03896-5 · Cited by 10

Particulate black carbon mass concentrations and the episodic source identification driven by atmospheric blocking effects in Astana, Kazakhstan

Ormanova, G., Hopke, P. K., Omrani, A. D., Zhakiyev, N., Shah, D., & Torkmahalleh, M. A. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.173581 · Cited by 10

Comparing Inequality in Future Urban Transport Modes by Doughnut Economy Concept

Moghaddam, A. A., Mirzahossein, H., & Guzik, R. (2022) · Sustainability · doi:10.3390/su142114462 · Cited by 9

Statistical modelling of spatial and temporal variation in urban particle number size distribution at traffic and background sites

Gerling, L., Wiedensohler, A., & Weber, S. (2020) · Atmospheric Environment · doi:10.1016/j.atmosenv.2020.117925 · Cited by 9

Spatio-temporal variability and trends of air pollutants in the Metropolitan Area of Curitiba

Krecl, P., Castro, L. B., Targino, A. C., & Oukawa, G. Y. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40651 · Cited by 8

No chronic effects on biochemical biomarkers, feeding and survival of carnolian honeybees (Apis mellifera carnica) after exposure to nanosized carbon black and titanium dioxide

Jemec, A., Milivojević, T., Drobne, D., Sepčić, K., & Glavan, G. (2016) · Acta Biologica Slovenica · doi:10.14720/abs.59.1.15698 · Cited by 8

Atmospheric influences on water quality: a simulation of nutrient loading for the Pearl River Basin, USA

Joyner, T. A., & Rohli, R. V. (2012) · Environmental Monitoring and Assessment · doi:10.1007/s10661-012-2803-x · Cited by 8

Exploring air quality using a multiple spatial resolution dashboard — a case study in Lisbon

Taborda, R., Datia, N., Pato, M. P. M., & Pires, J. M. (2020) · International Conference on Information Visualisation (IV) · doi:10.1109/iv51561.2020.00032 · Cited by 8

Evaluating the representativeness of atmospheric PM2.5 data for indoor exposure: insights from concentrations, chemical compositions, and sources

Jung, C., Chung, Y.-J., Chiang, T.-Y., Chou, C. C. ‐., & Huang, Y. (2025) · Environmental Pollution · doi:10.1016/j.envpol.2025.126350 · Cited by 7

Submicron Aerosol and Black Carbon in the Troposphere of Southwestern Siberia (1997–2018)

Panchenko, M. V., Yausheva, E. P., Чернов, Д. Г., Kozlov, V. S., Makarov, V. I., Popova, S. A., & Shmargunov, V. P. (2021) · Atmosphere · doi:10.3390/atmos12030351 · Cited by 7

Nanoparticle Number Concentration in the Air in Relation to the Time of the Year and Time of the Day

Brzezina, J., Köbölová, K., & Adamec, V. (2020) · Atmosphere · doi:10.3390/atmos11050523 · Cited by 7

Occupational exposure to respirable and diesel particulate matter at a highway toll station in India

Nazneen, Patra, A. K., Kolluru, S. S. R., Dubey, R., & Kumar, S. (2023) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-023-04853-5 · Cited by 7

Chemical Composition and Levels of Concentrations of Aerosols in the Mediterranean

Kaskaoutis, D. G., Liakakou, E., Grivas, G., Gerasopoulos, E., Mihalopoulos, N., Alástuey, A., Dulac, F., Pandolfi, M., Sciare, J., & Titos, G. (2023) · Springer eBooks · doi:10.1007/978-3-031-12741-0_9 · Cited by 7

UFP and BC at a mid-sized city in Po valley, Italy: Size-resolved partitioning between primary and newly formed particles

Wang, F., Cernuschi, S., Ozgen, S., Ripamonti, G., Vecchi, R., Valli, G., & Lonati, G. (2016) · Atmospheric Environment · doi:10.1016/j.atmosenv.2016.07.030 · Cited by 7

The relative contributions of traffic and non-traffic sources in ultrafine particle formations in Tehran mega city

Jafarigol, F., Yousefi, S., Omrani, A. D., Rashidi, Y., Buonanno, G., Stabile, L., Sabanov, S., & Torkmahalleh, M. A. (2024) · Scientific Reports · doi:10.1038/s41598-023-49444-z · Cited by 6

Analysis of organophosphorus flame retardants in submicron atmospheric particulate matter (PM1)

van Drooge, B. L., García, D. R., & Lacorte, S. (2018) · AIMS environmental science · doi:10.3934/environsci.2018.4.294 · Cited by 6

Assessment of ambient air quality, meteorological parameters, and emission source characteristics of Çanakkale, Turkey

Menteşe, S., & Selçuk, B. (2021) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-021-03494-w · Cited by 6

Assessing black carbon sources with aethalometer data and ambient ΔBC/ΔCO ratios analysis

Hernández, I. M., González, L. T., Mancilla, Y., Longoria-Rodríguez, F. E., Barbosa, J. M. A., Pérez-Rodríguez, M., & Mendoza, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-19646-8 · Cited by 5

Size-Segregated Atmospheric Particle Mass Concentration in Urban Areas in Luxembourg

Buchholz, S., Krein, A., Junk, J., & Heinemann, G. (2014) · Water Air & Soil Pollution · doi:10.1007/s11270-014-1891-3 · Cited by 5

Monitoring fine and ultrafine particles in the atmosphere of a Southeast Chinese city

Jian, L., Zhu, Y., & Zhao, Y. (2011) · Journal of Environmental Monitoring · doi:10.1039/c1em10383k · Cited by 5

Quantification of Airborne Particulate and Associated Toxic Heavy Metals in Urban Indoor Environment and Allied Health Effects

Lawrence, A. J., & Khan, T. (2019) · Energy, environment, and sustainability · doi:10.1007/978-981-15-0540-9_2 · Cited by 5

A systematic approach for the comparison of PM10, PM2.5, and PM1 mass concentrations of characteristic environmental sites

Speranza, A., Caggiano, R., & Summa, V. (2019) · Environmental Monitoring and Assessment · doi:10.1007/s10661-019-7828-y · Cited by 5

Students exposure assessment towards PM number concentration while commuting from different transport modes during school timings

Chaudhry, S. K., & Elumalai, S. P. (2020) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-020-01902-0 · Cited by 5

High Contribution of Sea Salt Aerosols on Atmospheric Particles Measured at an Urban Tropical Location in Reunion Island

Bhugwant, C., Bessafi, M., Favez, O., Chiappini, L., Siéja, B., & Leoz-Garziandia, E. (2013) · Journal of Environmental Protection · doi:10.4236/jep.2013.48097 · Cited by 5

Quantifying the contribution of environmental variables to cyclists’ exposure to PM2.5 using machine learning techniques

Núñez, M. R., Busso, I. T., & Carreras, H. A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e24724 · Cited by 4

Lidar backscattering model for soot aerosols

Ceolato, R., Yon, J., & Berg, M. J. (2025) · Journal of Quantitative Spectroscopy and Radiative Transfer · doi:10.1016/j.jqsrt.2025.109532 · Cited by 4

Feasibility analysis of AERONET lunar AOD for nighttime particulate matter estimation

Kim, K. N., Kim, S. H., Park, S. S., & Lee, Y. G. (2023) · Environmental Research Communications · doi:10.1088/2515-7620/accfe9 · Cited by 4

New considerations for PM, black carbon and particle number concentration for air quality monitoring across different European cities

Reche, C., Querol, X., Alastuey, A., Viana, M., Pey, J., Moreno, T., Rodríguez, S., González, Y., Fernández-Camacho, R., de la Rosa, J., et al. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-6207-2011 · Cited by 365

Peculiarities in atmospheric particle number and size-resolved speciation in an urban area in the western Mediterranean: Results from the DAURE campaign

Reche, C., Viana, M., Moreno, T., Querol, X., Alástuey, A., Pey, J., Pandolfi, M., Prévôt, A. S. H., Mohr, C., Richard, A., et al. (2011) · Atmospheric Environment · doi:10.1016/j.atmosenv.2011.06.059 · Cited by 38

Characterisation of fresh particulate vehicular exhausts near a Paris high flow road

Ruellan, S., & Cachier, H. (2001) · Atmospheric Environment · doi:10.1016/s1352-2310(00)00110-2 · Cited by 214

Influence of sea breeze circulation and road traffic emissions on the relationship between particle number, black carbon, PM1, PM2.5 and PM2.5–10 concentrations in a coastal city

Rodrı́guez, S., Cuevas, E., González, Y., Ramos, R., Romero, P. M., Pérez, N., Querol, X., & Alástuey, A. (2008) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.04.022 · Cited by 106

Variations of urban aerosols in the western Mediterranean

Pey, J., Rodrı́guez, S., Querol, X., Alástuey, A., Moreno, T., Putaud, J. P., & Dingenen, R. V. (2008) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.09.049 · Cited by 101