Research on aerosol sources and chemical composition: Past, current and emerging issues

Calvo, Ana; Alves, Célia; Castro, Amaya; Pont, Véronique; Vicente, Ana; Fraile, Roberto

doi:10.1016/j.atmosres.2012.09.021

Cited by 338 publications

(261 citation statements)

References 355 publications

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“…S12). This particle type likely originated from steel manufacturing process emissions and/or heavy industry (refinery, coal mine, power stations) (Calvo et al, 2013).…”

Section: Particles During the Regional Transport Eventsmentioning

confidence: 99%

Single-Particle Characterizations of Ambient Aerosols during a Wintertime Pollution Episode in Nanning: Local Emissions vs. Regional Transport

Chen

et al. 2017

Aerosol Air Qual. Res.

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Ambient aerosol during a heavily polluted episode in wintertime was characterized using real-time single particle aerosol mass spectrometry (SPAMS) in urban Nanning, a capital city in the Southwestern China. More than two million individual particles analyzed by SPAMS were classified into 8 major clusters based on the mass spectral patterns. A group of vanadium-rich particles were identified as the emissions from mining and smelting of vanadium mineral and were taken as markers of regional transported industrial emissions when air masses traversed northeast inland regions from Nanning. Number fractions of other industrially-emitted particles, including chromium-rich, elemental/organic carbon, organic carbon and fly ash, also increased during the regional transport events. During stagnant periods, local emissions sources, including vehicle exhaust (like Ca-EC particles) and local coal-fired power plants, contributed to the fine particles. During most of the sampling period, biomass burning particles produced by bagasse combustion were the most abundant, contributing ~25-80% of the total classified particles. Our observations suggest that biomass burning particles derived from industrial heat and electricity cogeneration processes could have a significant impact on the urban air quality without proper emission controls.

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“…S12). This particle type likely originated from steel manufacturing process emissions and/or heavy industry (refinery, coal mine, power stations) (Calvo et al, 2013).…”

Section: Particles During the Regional Transport Eventsmentioning

confidence: 99%

Single-Particle Characterizations of Ambient Aerosols during a Wintertime Pollution Episode in Nanning: Local Emissions vs. Regional Transport

Chen

et al. 2017

Aerosol Air Qual. Res.

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“…With the rapidly increasing amount of vehicles in use, automobile exhaust gases are becoming the main sources of PMs in urban areas (Goel and Guttikunda, 2015;Calvo et al, 2013;Karar and Gupta, 2007;Liu et al, 2016a;Kleeman et al, 2000;Police et al, 2016). In particular, fine PMs (particle diameter ≤ 2.5 μm) arouse greater worldwide concerns than coarse PMs (diameter of particle ≤ 10 μm) because fine PMs are able to penetrate lung cells, giving increased toxicity, and scatter light efficiently, leading to extensive visibility reduction (Choi et al, 2012;Chen et al, 2016bChen et al, , 2016cLiu et al, 2016b).…”

Section: Introductionmentioning

confidence: 99%

Mass spectral chemical fingerprints reveal the molecular dependence of exhaust particulate matters on engine speeds

Zhang

Zhao

et al. 2018

Journal of Environmental Sciences

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Available online xxxxParticulate matters (PMs) emitted by automobile exhaust contribute to a significant fraction of the global PMs. Extractive atmospheric pressure chemical ionization mass spectrometry (EAPCI-MS) was developed to explore the molecular dependence of PMs collected from exhaust gases produced at different vehicle engine speeds. The mass spectral fingerprints of the organic compounds embedded in differentially sized PMs (e.g., 0.22-0.45, 0.45-1.00, 1.00-2.00, 2.00-3.00, 3.00-5.00, and 5.00-10.00 μm) generated at different engine speeds (e.g., 1000, 1500, 2000, 2500, and 3000 r/min) were chemically profiled in the mass range of mass to charge ratio (m/z) 50-800. Organic compounds, including alcohols, aldehydes, and esters, were detected in all the PMs tested, with varied concentration levels for each individual PM sample. At relatively low engine speeds (≤ 1500 r/min), the total amount of organic species embedded in PMs of 0.22-1.00 μm was greater than in PMs of other sizes, while more organic species were found in PMs of 5.00-10.00 μm at high engine speeds (≥3000 r/min), indicating that the organic compounds distributed in different sizes of PMs strongly correlated with the engine speed. The experimental data showed that the EAPCI-MS technique enables molecular characterization of PMs in exhaust, revealing the chemical dependence of PMs on the engine speeds (i.e., the combustion conditions) of automobiles.

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“…Surfactants concentrations in Port Dickson station were strongly influenced by anthropogenic sources due to tourism pressure during and after sampling campaign. Combustion processes using charcoal and woods during picnic activities constitutes as an important sources of particulate matter and gaseous pollutants in atmosphere [27]. Apart from that, high loads of gasses and exhaust particulate matters generated from motor vehicles could lead to the accumulation of surfactants in atmosphere particularly in fine mode aerosols [12,28].…”

Section: Surfactants In Atmospheric Aerosolsmentioning

confidence: 99%

Distribution of surfactants in sea-surface microlayer and atmospheric aerosols at selected coastal area of Peninsular Malaysia

Mustaffa¹,

Latif²,

Ali³

2013

AIP Conference Proceedings

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Abstract. Surfactant in marine environment has been recognized to influence the biogeochemical cycle in atmosphere. This study aims to determine the concentration of surfactants in sea-surface microlayer (SML) and atmospheric aerosol at selected coastal area of Peninsular Malaysia. The sampling activities has been carried out between February 2012 and January 2013 using rotation drum to collect SML samples and a High Volume Sampler (HVS) equipped with two cascade impactor to collect fine and coarse mode aerosols. The Colorimetric method has been applied to determine surfactants as MBAS and DBAS using UV-Vis Spectrophotometer. Trajectory analysis was done using online-based HYSPLIT model in order to determine the influence of wind direction on surfactants concentrations. Overall, anionic surfactant as MBAS was dominated in SML with a range 0.19-0.24 μmolL -1 . Surfactants in atmospheric aerosol was found to be dominant in fine mode aerosol (MBAS = 62.79-171.30 pmolm -3 , DBAS = 29.41-182.86 pmolm -3 ) influenced by northeast monsoon.

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Research on aerosol sources and chemical composition: Past, current and emerging issues

Cited by 338 publications

References 355 publications

Single-Particle Characterizations of Ambient Aerosols during a Wintertime Pollution Episode in Nanning: Local Emissions vs. Regional Transport

Single-Particle Characterizations of Ambient Aerosols during a Wintertime Pollution Episode in Nanning: Local Emissions vs. Regional Transport

Mass spectral chemical fingerprints reveal the molecular dependence of exhaust particulate matters on engine speeds

Distribution of surfactants in sea-surface microlayer and atmospheric aerosols at selected coastal area of Peninsular Malaysia

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