Comparative chemistry and toxicity of diesel and biomass combustion emissions

Gilmour, M. Ian; Kim, Yong Ho; Hays, Michael D.

doi:10.1007/s00216-015-8797-9

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…It generates secondary organic aerosol by oxidative conversion of organic vapors into the particle phase or aged POA by heterogeneous reaction between gas phase oxidants and POA or 50 homogeneous reaction within the liquid phase of a particle (Seinfeld and Pandis, 2016). Consequently, atmospheric aging affects the light absorbing properties of the aerosol particles (Martinsson et al, 2015;Zhong and Jang, 2014) as well as adverse health effects of the smoke (Kanashova et al, 2018;Ihantola et al, 2020;Pardo et al, 2020) may change (Nordin et al, 2015;Gilmour et al, 2015). Detailed chemical analysis of the highly complex OC fraction of ambient PM samples collected downwind of BB as well laboratory-generated BBOA and aging in oxidation reactors (Bruns et al, 2015;Ihalainen et al, 2019) 55 combined with in vitro and in vivo exposures may provide insights into potentially harmful constituents, atmospheric transformation processes and optical aerosol properties through marker compounds representative of POA and SOA.…”

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confidence: 99%

Carbonaceous aerosol composition in air masses influenced by large-scale biomass burning: a case-study in Northwestern Vietnam

Nguyen¹,

Czech²,

Pieber³

et al. 2020

Preprint

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Abstract. We investigated concentrations of organic carbon (OC), elemental carbon (EC) and a wide range of particle-bound organic compounds in daily sampled PM2.5 at the remote Pha Din (PDI) – Global Atmosphere Watch (GAW) monitoring station in Northwestern Vietnam during an intense 3-week sampling campaign from 23rd March to 12th April 2015. The site is known to receive trans-regional air masses during large-scale biomass burning episodes, but OC composition studies are missing in the scientific literature. We quantified 51 organic compounds simultaneously by in-situ derivatization thermal desorption gas chromatography time-of-flight mass spectrometry (IDTD-GC-TOFMS). Anhydrosugars, methoxyphenols, n-alkanes, fatty acids, polycyclic aromatic hydrocarbons, oxygenated polycyclic aromatic hydrocarbons, nitrophenols as well as OC were used in a hierarchical cluster analysis highlighting distinctive patterns for periods under low, medium and high biomass burning (BB) influence. The highest particle phase concentration of the typical primary organic aerosol (POA) and possible secondary organic aerosol (SOA) constituents, especially nitrophenols, were found on 5th and 6th April. We linked the trace gases CH4, CO2, CO, O3 mixing ratios to the statistical classification of BB events based on OA composition and found increased CO and O3 levels during medium and high BB influence. Likewise, a backward trajectory analysis indicates different source regions for the identified periods based on the OA cluster, with cleaner air masses arriving from northeast, i.e., mainland China and Yellow sea. The more polluted periods are characterized by trajectories from southwest, with more continental recirculation of the medium cluster, and more westerly advection for the high cluster. These findings highlight that BB activities in Northern Southeast Asia cannot only significantly enhance the regional organic aerosol loading, but also affect the carbonaceous PM2.5 constituents and the trace gases in northwestern Vietnam. The presented analysis adds valuable data on the carbonaceous and in particular OC chemical composition of PM2.5 in a region of scarce data availability.

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confidence: 99%

Carbonaceous aerosol composition in air masses influenced by large-scale biomass burning: a case-study in Northwestern Vietnam

Nguyen¹,

Czech²,

Pieber³

et al. 2020

Preprint

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Smoke Chemistry

Alvarado

Barsanti

Chung

et al. 2022

Wildland Fire Smoke in the United States

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Smoke chemistry (i.e., chemical transformations taking place within smoke plumes) can alter the composition and toxicity of smoke on time scales from minutes to days. Air quality agencies need better information on and better models of smoke chemistry to more accurately characterize the contributions of smoke to ambient ozone and particulate matter, and to better predict good windows for prescribed burning. The ability of these agencies to quantify the contributions of wildland fires to air pollutants and the ability of forest and burn managers to both predict and mitigate these impacts are limited by how current models represent smoke chemistry. This limitation is interconnected with uncertainties in smoke emissions, plume dynamics, and long-range transport. Improving predictive models will require a combination of laboratory, field, and modeling studies focused on enhancing our knowledge of smoke chemistry, including when smoke interacts with anthropogenic emissions and enters indoors.

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