Abstract

Abstract. Multiple trace-gas instruments were deployed during the fourth Fire Lab at Missoula Experiment (FLAME-4), including the first application of proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOFMS) and comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (GC × GC-TOFMS) for laboratory biomass burning (BB) measurements. Open-path Fourier transform infrared spectroscopy (OP-FTIR) was also deployed, as well as whole-air sampling (WAS) with one-dimensional gas chromatography–mass spectrometry (GC-MS) analysis. This combination of instruments provided an unprecedented level of detection and chemical speciation. The chemical composition and emission factors (EFs) determined by these four analytical techniques were compared for four representative fuels. The results demonstrate that the instruments are highly complementary, with each covering some unique and important ranges of compositional space, thus demonstrating the need for multi-instrument approaches to adequately characterize BB smoke emissions. Emission factors for overlapping compounds generally compared within experimental uncertainty, despite some outliers, including monoterpenes. Data from all measurements were synthesized into a single EF database that includes over 500 non-methane organic gases (NMOGs) to provide a comprehensive picture of speciated, gaseous BB emissions. The identified compounds were assessed as a function of volatility; 6–11 % of the total NMOG EF was associated with intermediate-volatility organic compounds (IVOCs). These atmospherically relevant compounds historically have been unresolved in BB smoke measurements and thus are largely missing from emission inventories. Additionally, the identified compounds were screened for published secondary organic aerosol (SOA) yields. Of the total reactive carbon (defined as EF scaled by the OH rate constant and carbon number of each compound) in the BB emissions, 55–77 % was associated with compounds for which SOA yields are unknown or understudied. The best candidates for future smog chamber experiments were identified based on the relative abundance and ubiquity of the understudied compounds, and they included furfural, 2-methyl furan, 2-furan methanol, and 1,3-cyclopentadiene. Laboratory study of these compounds will facilitate future modeling efforts.

Highlights

  • IntroductionBiomass burning (BB) emits large amounts of trace gases, including non-methane organic gases (NMOGs) and primary (directly emitted) particulate matter (PM)

  • Biomass burning (BB) emits large amounts of trace gases, including non-methane organic gases (NMOGs) and primary particulate matter (PM)

  • While many factors contribute to the challenge of accurately predicting BB PM in plumes with variable dynamics and chemistry (Herron-Thorpe et al, 2014), one significant limitation has been the incomplete identification and quantification of NMOGs emitted from fires that may serve as precursors for secondary organic PM (Alvarado and Prinn, 2009; Alvarado et al, 2009; Warneke et al, 2011)

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Summary

Introduction

Biomass burning (BB) emits large amounts of trace gases, including non-methane organic gases (NMOGs) and primary (directly emitted) particulate matter (PM). Given the significant influence of PM on the radiative balance of the atmosphere (Hobbs et al, 2003) and on cloud formation (Desalmand and Serpolay, 1985; Reid et al, 2005), as well as on human health (Naeher et al, 2007; Tinling et al, 2016; Viswanathan et al, 2006), more accurate model representation of BB PM is needed. In order to better understand and accurately model the production of BB SOA, as well as other secondary pollutants (e.g., ozone and peroxyacyl nitrates), improved identification and quantification (e.g., emission factors, EFs) are needed for all compounds/classes of compounds that can serve as SOA precursors

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