Articles | Volume 17, issue 8
https://doi.org/10.5194/amt-17-2401-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2401-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Apr 2024
Research article |
| 22 Apr 2024
| 22 Apr 2024
Quantifying functional group compositions of household fuel-burning emissions
Air Methods and Characterization Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27709, USA
Amir Yazdani
Laboratory for Atmospheric Processes and their Impacts, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
Ann M. Dillner
Air Quality Research Center, University of California, Davis, California 95616, USA
Guofeng Shen
Air Methods and Characterization Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27709, USA
Wyatt M. Champion
Air Methods and Characterization Division, Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27709, USA
James J. Jetter
Air Methods and Characterization Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27709, USA
William T. Preston
CSS Inc., Durham, North Carolina 27713, USA
Lynn M. Russell
Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA
Michael D. Hays
Air Methods and Characterization Division, U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27709, USA
Satoshi Takahama
CORRESPONDING AUTHOR
Laboratory for Atmospheric Processes and their Impacts, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
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Wei Feng, Xiangyu Zhang, Zhijuan Shao, Guofeng Shen, Hong Liao, Yuhang Wang, and Mingjie Xie
EGUsphere, https://doi.org/10.5194/egusphere-2025-2106, https://doi.org/10.5194/egusphere-2025-2106, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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In this work, the relative differences in particle concentrations of water-soluble organic molecular markers (WSOMMs) between the collocated filter samples represent the uncertainties in the measurements. The comparisons between the measurements of chemically treated and untreated backup filter samples indicate that the WSOMMs detected on the backup filters may originate from heterogeneous reactions on the filter surfaces, but are not caused by the adsorption of gaseous molecules.
Nagendra Raparthi, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 18, 603–618, https://doi.org/10.5194/amt-18-603-2025, https://doi.org/10.5194/amt-18-603-2025, 2025
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Quantifying the composition-dependent hygroscopicity of aerosol particles is essential for advancing our understanding of atmospheric processes. Existing methods do not integrate chemical composition with hygroscopicity. We developed a novel method to assess the water uptake of particles sampled on aerosol filters at relative humidity levels up to 97 % and link it with their composition. This approach allows for the separation of total water uptake into inorganic and organic components.
Israel Silber, Jennifer M. Comstock, Michael R. Kieburtz, and Lynn M. Russell
Earth Syst. Sci. Data, 17, 29–42, https://doi.org/10.5194/essd-17-29-2025, https://doi.org/10.5194/essd-17-29-2025, 2025
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We present ARMTRAJ, a set of multipurpose trajectory datasets, which augments cloud, aerosol, and boundary layer studies utilizing the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) user facility data. ARMTRAJ data include ensemble run statistics that enhance consistency and serve as uncertainty metrics for air mass coordinates and state variables. ARMTRAJ will soon become a near real-time product that will accompany past, ongoing, and future ARM deployments.
Abigail S. Williams, Jeramy L. Dedrick, Lynn M. Russell, Florian Tornow, Israel Silber, Ann M. Fridlind, Benjamin Swanson, Paul J. DeMott, Paul Zieger, and Radovan Krejci
Atmos. Chem. Phys., 24, 11791–11805, https://doi.org/10.5194/acp-24-11791-2024, https://doi.org/10.5194/acp-24-11791-2024, 2024
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The measured aerosol size distribution modes reveal distinct properties characteristic of cold-air outbreaks in the Norwegian Arctic. We find higher sea spray number concentrations, smaller Hoppel minima, lower effective supersaturations, and accumulation-mode particle scavenging during cold-air outbreaks. These results advance our understanding of cold-air outbreak aerosol–cloud interactions in order to improve their accurate representation in models.
Karam Mansour, Stefano Decesari, Darius Ceburnis, Jurgita Ovadnevaite, Lynn M. Russell, Marco Paglione, Laurent Poulain, Shan Huang, Colin O'Dowd, and Matteo Rinaldi
Earth Syst. Sci. Data, 16, 2717–2740, https://doi.org/10.5194/essd-16-2717-2024, https://doi.org/10.5194/essd-16-2717-2024, 2024
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We propose and evaluate machine learning predictive algorithms to model freshly formed biogenic methanesulfonic acid and sulfate concentrations. The long-term constructed dataset covers the North Atlantic at an unprecedented resolution. The improved parameterization of biogenic sulfur aerosols at regional scales is essential for determining their radiative forcing, which could help further understand marine-aerosol–cloud interactions and reduce uncertainties in climate models
Lu Zhang, Jin Li, Yaojie Li, Xinlei Liu, Zhihan Luo, Guofeng Shen, and Shu Tao
Atmos. Chem. Phys., 24, 6323–6337, https://doi.org/10.5194/acp-24-6323-2024, https://doi.org/10.5194/acp-24-6323-2024, 2024
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Brown carbon (BrC) is related to radiative forcing and climate change. The BrC fraction from residential coal and biomass burning emissions, which were the major source of BrC, was characterized at the molecular level. The CHOS aromatic compounds explained higher light absorption efficiencies of biomass burning emissions compared to coal. The unique formulas of coal combustion aerosols were characterized by higher unsaturated compounds, and such information could be used for source appointment.
Xiao-San Luo, Weijie Huang, Guofeng Shen, Yuting Pang, Mingwei Tang, Weijun Li, Zhen Zhao, Hanhan Li, Yaqian Wei, Longjiao Xie, and Tariq Mehmood
Atmos. Chem. Phys., 24, 1345–1360, https://doi.org/10.5194/acp-24-1345-2024, https://doi.org/10.5194/acp-24-1345-2024, 2024
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PM2.5 are air pollutants threatening health globally, but they are a mixture of chemical compositions from many sources and result in unequal toxicity. Which composition from which source of PM2.5 as the most hazardous object is a question hindering effective pollution control policy-making. With chemical and toxicity experiments, we found automobile exhaust and coal combustion to be priority emissions with higher toxic compositions for precise air pollution control, ensuring public health.
Ryan N. Farley, Sonya Collier, Christopher D. Cappa, Leah R. Williams, Timothy B. Onasch, Lynn M. Russell, Hwajin Kim, and Qi Zhang
Atmos. Chem. Phys., 23, 15039–15056, https://doi.org/10.5194/acp-23-15039-2023, https://doi.org/10.5194/acp-23-15039-2023, 2023
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Soot particles, also known as black carbon (BC), have important implications for global climate and regional air quality. After the particles are emitted, BC can be coated with other material, impacting the aerosol properties. We selectively measured the composition of particles containing BC to explore their sources and chemical transformations in the atmosphere. We focus on a persistent, multiday fog event in order to study the effects of chemical reactions occurring within liquid droplets.
Marife B. Anunciado, Miranda De Boskey, Laura Haines, Katarina Lindskog, Tracy Dombek, Satoshi Takahama, and Ann M. Dillner
Atmos. Meas. Tech., 16, 3515–3529, https://doi.org/10.5194/amt-16-3515-2023, https://doi.org/10.5194/amt-16-3515-2023, 2023
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Organic sulfur compounds are used to identify sources and atmospheric processing of aerosol. Our paper evaluates the potential of using a non-destructive measurement technique to measure organic sulfur compounds in filter samples by assessing their chemical stability over time. Some were stable, but some evaporated or changed chemically. Future work includes evaluating the stability and potential interference of multiple organic sulfur compounds in laboratory mixtures and ambient aerosol.
Ruosi Liang, Yuzhong Zhang, Wei Chen, Peixuan Zhang, Jingran Liu, Cuihong Chen, Huiqin Mao, Guofeng Shen, Zhen Qu, Zichong Chen, Minqiang Zhou, Pucai Wang, Robert J. Parker, Hartmut Boesch, Alba Lorente, Joannes D. Maasakkers, and Ilse Aben
Atmos. Chem. Phys., 23, 8039–8057, https://doi.org/10.5194/acp-23-8039-2023, https://doi.org/10.5194/acp-23-8039-2023, 2023
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We compare and evaluate East Asian methane emissions inferred from different satellite observations (GOSAT and TROPOMI). The results show discrepancies over northern India and eastern China. Independent ground-based observations are more consistent with TROPOMI-derived emissions in northern India and GOSAT-derived emissions in eastern China.
Amir Yazdani, Satoshi Takahama, John K. Kodros, Marco Paglione, Mauro Masiol, Stefania Squizzato, Kalliopi Florou, Christos Kaltsonoudis, Spiro D. Jorga, Spyros N. Pandis, and Athanasios Nenes
Atmos. Chem. Phys., 23, 7461–7477, https://doi.org/10.5194/acp-23-7461-2023, https://doi.org/10.5194/acp-23-7461-2023, 2023
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Organic aerosols directly emitted from wood and pellet stove combustion are found to chemically transform (approximately 15 %–35 % by mass) under daytime aging conditions simulated in an environmental chamber. A new marker for lignin-like compounds is found to degrade at a different rate than previously identified biomass burning markers and can potentially provide indication of aging time in ambient samples.
Yaqin Gao, Hongli Wang, Lingling Yuan, Shengao Jing, Bin Yuan, Guofeng Shen, Liang Zhu, Abigail Koss, Yingjie Li, Qian Wang, Dan Dan Huang, Shuhui Zhu, Shikang Tao, Shengrong Lou, and Cheng Huang
Atmos. Chem. Phys., 23, 6633–6646, https://doi.org/10.5194/acp-23-6633-2023, https://doi.org/10.5194/acp-23-6633-2023, 2023
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A near-complete speciation of reactive organic gases from residential combustion was developed to get more insights into their atmospheric effects. Oxygenated species, higher hydrocarbons and nitrogen-containing species played larger roles in these emissions compared with common hydrocarbons. Based on the near-complete speciation, these emissions were largely underestimated, leading to more underestimation of their hydroxyl radical reactivity and secondary organic aerosol formation potential.
Veronica Z. Berta, Lynn M. Russell, Derek J. Price, Chia-Li Chen, Alex K. Y. Lee, Patricia K. Quinn, Timothy S. Bates, Thomas G. Bell, and Michael J. Behrenfeld
Atmos. Chem. Phys., 23, 2765–2787, https://doi.org/10.5194/acp-23-2765-2023, https://doi.org/10.5194/acp-23-2765-2023, 2023
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Amines are compounds emitted from a variety of marine and continental sources and were measured by aerosol mass spectrometry and Fourier transform infrared spectroscopy during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) cruises. Secondary continental and primary marine sources of amines were identified by comparisons to tracers. The results show that the two methods are complementary for investigating amines in the marine environment.
Francesca Gallo, Kevin J. Sanchez, Bruce E. Anderson, Ryan Bennett, Matthew D. Brown, Ewan C. Crosbie, Chris Hostetler, Carolyn Jordan, Melissa Yang Martin, Claire E. Robinson, Lynn M. Russell, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Elizabeth B. Wiggins, Edward L. Winstead, Armin Wisthaler, Luke D. Ziemba, and Richard H. Moore
Atmos. Chem. Phys., 23, 1465–1490, https://doi.org/10.5194/acp-23-1465-2023, https://doi.org/10.5194/acp-23-1465-2023, 2023
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We integrate in situ ship- and aircraft-based measurements of aerosol, trace gases, and meteorological parameters collected during the NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) field campaigns in the western North Atlantic Ocean region. A comprehensive characterization of the vertical profiles of aerosol properties under different seasonal regimes is provided for improving the understanding of aerosol key processes and aerosol–cloud interactions in marine regions.
Yi Cheng, Shaofei Kong, Liquan Yao, Huang Zheng, Jian Wu, Qin Yan, Shurui Zheng, Yao Hu, Zhenzhen Niu, Yingying Yan, Zhenxing Shen, Guofeng Shen, Dantong Liu, Shuxiao Wang, and Shihua Qi
Earth Syst. Sci. Data, 14, 4757–4775, https://doi.org/10.5194/essd-14-4757-2022, https://doi.org/10.5194/essd-14-4757-2022, 2022
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This work establishes the first emission inventory of carbonaceous aerosols from cooking, fireworks, sacrificial incense, joss paper burning, and barbecue, using multi-source datasets and tested emission factors. These emissions were concentrated in specific periods and areas. Positive and negative correlations between income and emissions were revealed in urban and rural regions. The dataset will be helpful for improving modeling studies and modifying corresponding emission control policies.
Nikunj Dudani and Satoshi Takahama
Atmos. Meas. Tech., 15, 4693–4707, https://doi.org/10.5194/amt-15-4693-2022, https://doi.org/10.5194/amt-15-4693-2022, 2022
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We designed and fabricated an aerosol collector with high collection efficiency that enables quantitative infrared spectroscopy analysis. By collecting particles on optical windows, typical substrate interferences are eliminated. New methods for fabricating aerosol devices using 3D printing with post-treatment to reduce the time and cost of prototyping are described.
Jeramy L. Dedrick, Georges Saliba, Abigail S. Williams, Lynn M. Russell, and Dan Lubin
Atmos. Meas. Tech., 15, 4171–4194, https://doi.org/10.5194/amt-15-4171-2022, https://doi.org/10.5194/amt-15-4171-2022, 2022
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A new method is presented to retrieve the sea spray aerosol size distribution by combining submicron size and nephelometer scattering based on Mie theory. Using available sea spray tracers, we find that this approach serves as a comparable substitute to supermicron size distribution measurements, which are limited in availability at marine sites. Application of this technique can expand sea spray observations and improve the characterization of marine aerosol impacts on clouds and climate.
Amir Yazdani, Nikunj Dudani, Satoshi Takahama, Amelie Bertrand, André S. H. Prévôt, Imad El Haddad, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2857–2874, https://doi.org/10.5194/amt-15-2857-2022, https://doi.org/10.5194/amt-15-2857-2022, 2022
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While the aerosol mass spectrometer provides high-time-resolution characterization of the overall extent of oxidation, the extensive fragmentation of molecules and specificity of the technique have posed challenges toward deeper understanding of molecular structures in aerosols. This work demonstrates how functional group information can be extracted from a suite of commonly measured mass fragments using collocated infrared spectroscopy measurements.
Bruno Debus, Andrew T. Weakley, Satoshi Takahama, Kathryn M. George, Anahita Amiri-Farahani, Bret Schichtel, Scott Copeland, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2685–2702, https://doi.org/10.5194/amt-15-2685-2022, https://doi.org/10.5194/amt-15-2685-2022, 2022
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In the US, routine particulate matter composition is measured on samples collected on three types of filter media and analyzed using several techniques. We propose an alternate approach that uses one analytical technique, Fourier transform-infrared spectroscopy (FT-IR), and one filter type to measure the chemical composition of particulate matter in a major US monitoring network. This method could be used to add low-cost sites to the network, fill-in missing data, or for quality control.
Kevin J. Sanchez, Bo Zhang, Hongyu Liu, Matthew D. Brown, Ewan C. Crosbie, Francesca Gallo, Johnathan W. Hair, Chris A. Hostetler, Carolyn E. Jordan, Claire E. Robinson, Amy Jo Scarino, Taylor J. Shingler, Michael A. Shook, Kenneth L. Thornhill, Elizabeth B. Wiggins, Edward L. Winstead, Luke D. Ziemba, Georges Saliba, Savannah L. Lewis, Lynn M. Russell, Patricia K. Quinn, Timothy S. Bates, Jack Porter, Thomas G. Bell, Peter Gaube, Eric S. Saltzman, Michael J. Behrenfeld, and Richard H. Moore
Atmos. Chem. Phys., 22, 2795–2815, https://doi.org/10.5194/acp-22-2795-2022, https://doi.org/10.5194/acp-22-2795-2022, 2022
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Atmospheric particle concentrations impact clouds, which strongly impact the amount of sunlight reflected back into space and the overall climate. Measurements of particles over the ocean are rare and expensive to collect, so models are necessary to fill in the gaps by simulating both particle and clouds. However, some measurements are needed to test the accuracy of the models. Here, we measure changes in particles in different weather conditions, which are ideal for comparison with models.
Mária Lbadaoui-Darvas, Satoshi Takahama, and Athanasios Nenes
Atmos. Chem. Phys., 21, 17687–17714, https://doi.org/10.5194/acp-21-17687-2021, https://doi.org/10.5194/acp-21-17687-2021, 2021
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Aerosol–cloud interactions constitute the most uncertain contribution to climate change. The uptake kinetics of water by aerosol is a central process of cloud droplet formation, yet its molecular-scale mechanism is unknown. We use molecular simulations to study this process for phase-separated organic particles. Our results explain the increased cloud condensation activity of such particles and can be generalized over various compositions, thus possibly serving as a basis for future models.
Amir Yazdani, Ann M. Dillner, and Satoshi Takahama
Atmos. Meas. Tech., 14, 4805–4827, https://doi.org/10.5194/amt-14-4805-2021, https://doi.org/10.5194/amt-14-4805-2021, 2021
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We propose a spectroscopic method for estimating several mixture-averaged molecular properties (carbon number and molecular weight) in particulate matter relevant for understanding its chemical origins. This estimation is enabled by calibration models built and tested using laboratory standards containing molecules with known structure, and can be applied to filter samples of PM2.5 currently collected in existing air pollution monitoring networks and field campaigns.
Amir Yazdani, Nikunj Dudani, Satoshi Takahama, Amelie Bertrand, André S. H. Prévôt, Imad El Haddad, and Ann M. Dillner
Atmos. Chem. Phys., 21, 10273–10293, https://doi.org/10.5194/acp-21-10273-2021, https://doi.org/10.5194/acp-21-10273-2021, 2021
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Functional group compositions of primary and aged aerosols from wood burning and coal combustion sources from chamber experiments are interpreted through compounds present in the fuels and known gas-phase oxidation products. Infrared spectra of aged wood burning in the chamber and ambient biomass burning samples reveal striking similarities, and a new method for identifying burning-impacted samples in monitoring network measurements is presented.
Alexandra J. Boris, Satoshi Takahama, Andrew T. Weakley, Bruno M. Debus, Stephanie L. Shaw, Eric S. Edgerton, Taekyu Joo, Nga L. Ng, and Ann M. Dillner
Atmos. Meas. Tech., 14, 4355–4374, https://doi.org/10.5194/amt-14-4355-2021, https://doi.org/10.5194/amt-14-4355-2021, 2021
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Infrared spectrometry can be applied in routine monitoring of atmospheric particles to give comprehensive characterization of the organic material by bond rather than species. Using this technique, the concentrations of particle organic material were found to decrease 2011–2016 in the southeastern US, driven by a decline in highly aged material, concurrent with declining anthropogenic emissions. However, an increase was observed in the fraction of more moderately aged organic matter.
Kevin J. Sanchez, Gregory C. Roberts, Georges Saliba, Lynn M. Russell, Cynthia Twohy, J. Michael Reeves, Ruhi S. Humphries, Melita D. Keywood, Jason P. Ward, and Ian M. McRobert
Atmos. Chem. Phys., 21, 3427–3446, https://doi.org/10.5194/acp-21-3427-2021, https://doi.org/10.5194/acp-21-3427-2021, 2021
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Measurements of particles and their properties were made from aircraft over the Southern Ocean. Aerosol transported from the Antarctic coast is shown to greatly enhance particle concentrations over the Southern Ocean. The occurrence of precipitation was shown to be associated with the lowest particle concentrations over the Southern Ocean. These particles are important due to their ability to enhance cloud droplet concentrations, resulting in more sunlight being reflected by the clouds.
Betty Croft, Randall V. Martin, Richard H. Moore, Luke D. Ziemba, Ewan C. Crosbie, Hongyu Liu, Lynn M. Russell, Georges Saliba, Armin Wisthaler, Markus Müller, Arne Schiller, Martí Galí, Rachel Y.-W. Chang, Erin E. McDuffie, Kelsey R. Bilsback, and Jeffrey R. Pierce
Atmos. Chem. Phys., 21, 1889–1916, https://doi.org/10.5194/acp-21-1889-2021, https://doi.org/10.5194/acp-21-1889-2021, 2021
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North Atlantic Aerosols and Marine Ecosystems Study measurements combined with GEOS-Chem-TOMAS modeling suggest that several not-well-understood key factors control northwest Atlantic aerosol number and size. These synergetic and climate-relevant factors include particle formation near and above the marine boundary layer top, particle growth by marine secondary organic aerosol on descent, particle formation/growth related to dimethyl sulfide, sea spray aerosol, and ship emissions.
Kevin J. Sanchez, Bo Zhang, Hongyu Liu, Georges Saliba, Chia-Li Chen, Savannah L. Lewis, Lynn M. Russell, Michael A. Shook, Ewan C. Crosbie, Luke D. Ziemba, Matthew D. Brown, Taylor J. Shingler, Claire E. Robinson, Elizabeth B. Wiggins, Kenneth L. Thornhill, Edward L. Winstead, Carolyn Jordan, Patricia K. Quinn, Timothy S. Bates, Jack Porter, Thomas G. Bell, Eric S. Saltzman, Michael J. Behrenfeld, and Richard H. Moore
Atmos. Chem. Phys., 21, 831–851, https://doi.org/10.5194/acp-21-831-2021, https://doi.org/10.5194/acp-21-831-2021, 2021
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Models describing atmospheric airflow were combined with satellite measurements representative of marine phytoplankton and other meteorological variables. These combined variables were compared to measured aerosol to identify upwind influences on aerosol concentrations. Results indicate that phytoplankton production rates upwind impact the aerosol mass. Also, results suggest that the condensation of mass onto short-lived large sea spray particles may be a significant sink of aerosol mass.
Michael J. Lawler, Savannah L. Lewis, Lynn M. Russell, Patricia K. Quinn, Timothy S. Bates, Derek J. Coffman, Lucia M. Upchurch, and Eric S. Saltzman
Atmos. Chem. Phys., 20, 16007–16022, https://doi.org/10.5194/acp-20-16007-2020, https://doi.org/10.5194/acp-20-16007-2020, 2020
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This work describes new measurements of aerosol (particles) composition over the North Atlantic Ocean. It provides concentrations of polysaccharide material likely made from organisms in the surface ocean and improves our understanding of the relative importance of such fresh biogenic material compared to more recalcitrant organic carbon in forming marine organic aerosol. We aim ultimately to understand the role that ocean biology plays in cloud formation in marine regions.
Mingjie Xie, Zhenzhen Zhao, Amara L. Holder, Michael D. Hays, Xi Chen, Guofeng Shen, James J. Jetter, Wyatt M. Champion, and Qin'geng Wang
Atmos. Chem. Phys., 20, 14077–14090, https://doi.org/10.5194/acp-20-14077-2020, https://doi.org/10.5194/acp-20-14077-2020, 2020
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This study investigated the composition, structures, and light absorption of N-containing aromatic compounds (NACs) in PM2.5 emitted from burning red oak and charcoal in a variety of cookstoves. The results suggest that the identified NACs might have substantial fractions remaining in the gas phase. In comparison to other sources, cookstove emissions from red oak or charcoal fuels did not exhibit unique NAC structural features but had distinct NAC composition.
Cited articles
Aiken, A. C., DeCarlo, P. F., and Jimenez, J. L.: Elemental Analysis of Organic Species with Electron Ionization High-Resolution Mass Spectrometry, Anal. Chem., 79, 8350–8358, https://doi.org/10.1021/ac071150w, 2007. a
Boeriu, C. G., Bravo, D., Gosselink, R. J. A., and van Dam, J. E. G.: Characterisation of Structure-Dependent Functional Properties of Lignin with Infrared Spectroscopy, Ind. Crops Prod., 20, 205–218, https://doi.org/10.1016/j.indcrop.2004.04.022, 2004. a
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., Deangelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne, S., Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M., Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K., Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U., Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender, C. S.: Bounding the Role of Black Carbon in the Climate System: A Scientific Assessment, J. Geophys. Res.-Atmos., 118, 5380–5552, https://doi.org/10.1002/jgrd.50171, 2013. a
Boris, A. J., Takahama, S., Weakley, A. T., Debus, B. M., Fredrickson, C. D., Esparza-Sanchez, M., Burki, C., Reggente, M., Shaw, S. L., Edgerton, E. S., and Dillner, A. M.: Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods, Atmos. Meas. Tech., 12, 5391–5415, https://doi.org/10.5194/amt-12-5391-2019, 2019. a
Bürki, C., Reggente, M., Dillner, A. M., Hand, J. L., Shaw, S. L., and Takahama, S.: Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations, Atmos. Meas. Tech., 13, 1517–1538, https://doi.org/10.5194/amt-13-1517-2020, 2020. a, b
Canagaratna, M. R., Jimenez, J. L., Kroll, J. H., Chen, Q., Kessler, S. H., Massoli, P., Hildebrandt Ruiz, L., Fortner, E., Williams, L. R., Wilson, K. R., Surratt, J. D., Donahue, N. M., Jayne, J. T., and Worsnop, D. R.: Elemental ratio measurements of organic compounds using aerosol mass spectrometry: characterization, improved calibration, and implications, Atmos. Chem. Phys., 15, 253–272, https://doi.org/10.5194/acp-15-253-2015, 2015. a, b
Centrone, A., Brambilla, L., Renouard, T., Gherghel, L., Mathis, C., Müllen, K., and Zerbi, G.: Structure of New Carbonaceous Materials: The Role of Vibrational Spectroscopy, Carbon, 43, 1593–1609, https://doi.org/10.1016/j.carbon.2005.01.040, 2005. a
Champion, W. M. and Grieshop, A. P.: Pellet-Fed Gasifier Stoves Approach Gas-Stove Like Performance during in-Home Use in Rwanda, Environ. Sci. Technol., 53, 6570–6579, https://doi.org/10.1021/acs.est.9b00009, 2019. a
Chiappini, L., Verlhac, S., Aujay, R., Maenhaut, W., Putaud, J. P., Sciare, J., Jaffrezo, J. L., Liousse, C., Galy-Lacaux, C., Alleman, L. Y., Panteliadis, P., Leoz, E., and Favez, O.: Clues for a standardised thermal-optical protocol for the assessment of organic and elemental carbon within ambient air particulate matter, Atmos. Meas. Tech., 7, 1649–1661, https://doi.org/10.5194/amt-7-1649-2014, 2014. a
Chong, I.-G. and Jun, C.-H.: Performance of Some Variable Selection Methods When Multicollinearity Is Present, Chemometr. Intell. Lab., 78, 103–112, https://doi.org/10.1016/j.chemolab.2004.12.011, 2005. a
Chow, J. C., Watson, J. G., Chen, L.-W. A., Arnott, W. P., Moosmüller, H., and Fung, K.: Equivalence of Elemental Carbon by Thermal/Optical Reflectance and Transmittance with Different Temperature Protocols, Environ. Sci. Technol., 38, 4414–4422, https://doi.org/10.1021/es034936u, 2004. a
Collins, C. D.: Implementing Phytoremediation of Petroleum Hydrocarbons, in: Phytoremediation: Methods and Reviews, edited by: Willey, N., Methods in Biotechnology, Humana Press, 99–108, https://doi.org/10.1007/978-1-59745-098-0_8, 2007. a
Corrigan, A. L., Russell, L. M., Takahama, S., Äijälä, M., Ehn, M., Junninen, H., Rinne, J., Petäjä, T., Kulmala, M., Vogel, A. L., Hoffmann, T., Ebben, C. J., Geiger, F. M., Chhabra, P., Seinfeld, J. H., Worsnop, D. R., Song, W., Auld, J., and Williams, J.: Biogenic and biomass burning organic aerosol in a boreal forest at Hyytiälä, Finland, during HUMPPA-COPEC 2010, Atmos. Chem. Phys., 13, 12233–12256, https://doi.org/10.5194/acp-13-12233-2013, 2013. a
Debus, B., Weakley, A. T., Takahama, S., George, K. M., Amiri-Farahani, A., Schichtel, B., Copeland, S., Wexler, A. S., and Dillner, A. M.: Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network, Atmos. Meas. Tech., 15, 2685–2702, https://doi.org/10.5194/amt-15-2685-2022, 2022. a
Dillner, A. M. and Takahama, S.: Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: organic carbon, Atmos. Meas. Tech., 8, 1097–1109, https://doi.org/10.5194/amt-8-1097-2015, 2015. a
Friedel, R. A. and Carlson, G. L.: Infrared spectra of ground graphite, J. Phys, Chem,, 75, 1149–1151, https://doi.org/10.1021/j100678a021, 1971. a
Gibbs-Flournoy, E. A., Gilmour, M. I., Higuchi, M., Jetter, J., George, I., Copeland, L., Harrison, R., Moser, V. C., and Dye, J. A.: Differential Exposure and Acute Health Impacts of Inhaled Solid-Fuel Emissions from Rudimentary and Advanced Cookstoves in Female CD-1 Mice, Environ. Res., 161, 35–48, https://doi.org/10.1016/j.envres.2017.10.043, 2018. a
Gilardoni, S., Russell, L. M., Sorooshian, A., Flagan, R. C., Seinfeld, J. H., Bates, T. S., Quinn, P. K., Allan, J. D., Williams, B., Goldstein, A. H., Onasch, T. B., and Worsnop, D. R.: Regional Variation of Organic Functional Groups in Aerosol Particles on Four U.S. East Coast Platforms during the International Consortium for Atmospheric Research on Transport and Transformation 2004 Campaign, J. Geophys. Res.-Atmos., 112, D10S27, https://doi.org/10.1029/2006JD007737, 2007. a, b
Guo, Y. and Bustin, R. M.: FTIR Spectroscopy and Reflectance of Modern Charcoals and Fungal Decayed Woods: Implications for Studies of Inertinite in Coals, Int. J. Coal Geol., 37, 29–53, https://doi.org/10.1016/S0166-5162(98)00019-6, 1998. a, b
Hand, J., Prenni, A., Schichtel, B., Malm, W., and Chow, J.: Trends in remote PM2.5 residual mass across the United States: Implications for aerosol mass reconstruction in the IMPROVE network, Atmos. Environ., 203, 141–152, https://doi.org/10.1016/j.atmosenv.2019.01.049, 2019. a
Hawkins, L. N. and Russell, L. M.: Oxidation of ketone groups in transported biomass burning aerosol from the 2008 Northern California Lightning Series fires, Atmos. Environ., 44, 4142–4154, https://doi.org/10.1016/j.atmosenv.2010.07.036, 2010. a
Jetter, J., Zhao, Y., Smith, K. R., Khan, B., Yelverton, T., DeCarlo, P., and Hays, M. D.: Pollutant Emissions and Energy Efficiency under Controlled Conditions for Household Biomass Cookstoves and Implications for Metrics Useful in Setting International Test Standards, Environ. Sci. Technol., 46, 10827–10834, https://doi.org/10.1021/es301693f, 2012. a, b, c, d
Jetter, J. J. and Kariher, P.: Solid-Fuel Household Cook Stoves: Characterization of Performance and Emissions, Biomass Bioenerg., 33, 294–305, https://doi.org/10.1016/j.biombioe.2008.05.014, 2009. a
Kuzmiakova, A., Dillner, A. M., and Takahama, S.: An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters, Atmos. Meas. Tech., 9, 2615–2631, https://doi.org/10.5194/amt-9-2615-2016, 2016. a
Lam, N. L., Smith, K. R., Gauthier, A., and Bates, M. N.: Kerosene: A Review of Household Uses and Their Hazards in Low-and Middle-Income Countries, J. Toxicol. Env. Heal. B, 15, 396–432, https://doi.org/10.1080/10937404.2012.710134, 2012. a
Lea-Langton, A., Spracklen, D., Arnold, S., Conibear, L., Chan, J., Mitchell, E., Jones, J., and Williams, A.: PAH emissions from an African cookstove, J. Energy Inst., 92, 587–593, https://doi.org/10.1016/j.joei.2018.03.014, 2019. a
Lee, K. K., Bing, R., Kiang, J., Bashir, S., Spath, N., Stelzle, D., Mortimer, K., Bularga, A., Doudesis, D., Joshi, S. S., Strachan, F., Gumy, S., Adair-Rohani, H., Attia, E. F., Chung, M. H., Miller, M. R., Newby, D. E., Mills, N. L., McAllister, D. A., and Shah, A. S. V.: Adverse health effects associated with household air pollution: a systematic review, meta-analysis, and burden estimation study, Lancet Glob. Health, 8, e1427–e1434, https://doi.org/10.1016/S2214-109X(20)30343-0, 2020. a
Li, E. Y., Yazdani, A., Dillner, A. M., Shen, G., Champion, W. M., Jetter, J. J., Preston, W. T., Russell, L. M., Hays, M. D., and Takahama, S.: Data for Quantifying functional group compositions of household fuel-burning emissions, Zenodo [data set], https://doi.org/10.5281/zenodo.10970006, 2024. a
Liu, J., Russell, L. M., Ruggeri, G., Takahama, S., Claflin, M. S., Ziemann, P. J., Pye, H. O. T., Murphy, B. N., Xu, L., Ng, N. L., McKinney, K. A., Budisulistiorini, S. H., Bertram, T. H., Nenes, A., and Surratt, J. D.: Regional Similarities and NOx-Related Increases in Biogenic Secondary Organic Aerosol in Summertime Southeastern United States, J. Geophys. Res.-Atmos., 123, 10620–10636, https://doi.org/10.1029/2018JD028491, 2018. a
Liu, S., Takahama, S., Russell, L. M., Gilardoni, S., and Baumgardner, D.: Oxygenated organic functional groups and their sources in single and submicron organic particles in MILAGRO 2006 campaign, Atmos. Chem. Phys., 9, 6849–6863, https://doi.org/10.5194/acp-9-6849-2009, 2009. a
Mutlu, E., Warren, S. H., Ebersviller, S. M., Kooter, I. M., Schmid, J. E., Dye, J. A., Linak, W. P., Gilmour, M. I., Jetter, J. J., Higuchi, M., and DeMarini, D. M.: Mutagenicity and Pollutant Emission Factors of Solid-Fuel Cookstoves: Comparison with Other Combustion Sources, Environ. Health Persp., 124, 974–982, https://doi.org/10.1289/ehp.1509852, 2016. a
NIOSH: Manual of Analytical Methods (NMAM), edited by: Cassinelli, M. E. and O'Connor, P. F., Second Supplement to NMAM, 4th edn. DHHS (NIOSH) Publication No. 94-113, NIOSH, Cincinnati, OH, https://www.cdc.gov/niosh/docs/2003-154/pdfs/5040.pdf (last access: 18 April 2024), 1998. a
Novakov, T., Andreae, M. O., Gabriel, R., Kirchstetter, T. W., Mayol‐Bracero, O. L., and Ramanathan, V.: Origin of Carbonaceous Aerosols over the Tropical Indian Ocean: Biomass Burning or Fossil Fuels?, Geophys. Res. Lett., 27, 4061–4064, https://doi.org/10.1029/2000GL011759, 2000. a
Pandey, K. K.: A Study of Chemical Structure of Soft and Hardwood and Wood Polymers by FTIR Spectroscopy, J. Appl. Polym. Sci., 71, 1969–1975, https://doi.org/10.1002/(SICI)1097-4628(19990321)71:12<1969::AID-APP6>3.0.CO;2-D, 1999. a
Parks, D. A., Raj, K. V., Berry, C. A., Weakley, A. T., Griffiths, P. R., and Miller, A. L.: Towards a Field-Portable Real-Time Organic and Elemental Carbon Monitor, Mining, Metallurgy & Exploration, 36, 765–772, https://doi.org/10.1007/s42461-019-0064-8, 2019. a
Parks, D. A., Griffiths, P. R., Weakley, A. T., and Miller, A. L.: Quantifying Elemental and Organic Carbon in Diesel Particulate Matter by Mid-Infrared Spectrometry, Aerosol Sci. Tech., 55, 1–14, https://doi.org/10.1080/02786826.2021.1917764, 2021. a, b, c
Pavia, D. L., Lampman, G. M., Kriz, G. S., and Vyvyan, J. A.: Introduction to Spectroscopy, 4th edn., Brooks Cole, ISBN 978-0-495-11478-9, 2008. a
Polidori, A., Turpin, B. J., Davidson, C. I., Rodenburg, L. A., and Maimone, F.: Organic PM2.5: Fractionation by polarity, FTIR spectroscopy, and OM
Ramanathan, V., Rodhe, H., Agrawal, M., Akimoto, H., Auffhammer, M., Chopra, U. K., Emberson, L., Hasnain, S. I., Iyngararasan, M., Jayaraman, A., Lawrence, M., Nakajima, T., Ruchirawat, M., Singh, A. K., Vincent, J. R., and Zhang, Y.: Atmospheric Brown Clouds: Regional Assessment Report with Focus on Asia Summary, United Nations Environment Programme, Nairobi, Kenya, ISBN 9789280729870, 2008. a
Reggente, M., Dillner, A. M., and Takahama, S.: Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites, Atmos. Meas. Tech., 9, 441–454, https://doi.org/10.5194/amt-9-441-2016, 2016. a
Reggente, M., Dillner, A. M., and Takahama, S.: Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples, Atmos. Meas. Tech., 12, 2287–2312, https://doi.org/10.5194/amt-12-2287-2019, 2019a. a, b, c, d
Reggente, M., Höhn, R., and Takahama, S.: An open platform for Aerosol InfraRed Spectroscopy analysis – AIRSpec, Atmos. Meas. Tech., 12, 2313–2329, https://doi.org/10.5194/amt-12-2313-2019, 2019b. a
Reinsch, C. H.: Smoothing by spline functions, Numer. Math., 10, 177–183, https://doi.org/10.1007/BF02162161, 1967. a
Riedel, T. P., DeMarini, D. M., Zavala, J., Warren, S. H., Corse, E. W., Offenberg, J. H., Kleindienst, T. E., and Lewandowski, M.: Mutagenic Atmospheres Resulting from the Photooxidation of Aromatic Hydrocarbon and NOx Mixtures, Atmos. Environ., 178, 164–172, https://doi.org/10.1016/j.atmosenv.2018.01.052, 2018. a
Robinson, A. L., Donahue, N. M., Shrivastava, M. K., Weitkamp, E. A., Sage, A. M., Grieshop, A. P., Lane, T. E., Pierce, J. R., and Pandis, S. N.: Rethinking organic aerosols: Semivolatile emissions and photochemical aging, Science, 315, 1259–1262, https://doi.org/10.1126/science.1133061, 2007. a
Roden, C. A., Bond, T. C., Conway, S., and Pinel, A. B. O.: Emission Factors and Real-Time Optical Properties of Particles Emitted from Traditional Wood Burning Cookstoves, Environ. Sci. Technol., 40, 6750–6757, https://doi.org/10.1021/es052080i, 2006. a, b
Rogge, W. F., Mazurek, M. A., Hildemann, L. M., Cass, G. R., and Simoneit, B. R. T.: Quantification of Urban Organic Aerosols At A Molecular-level – Identification, Abundance and Seasonal-variation, Atmos. Environ. A-Gen., 27, 1309–1330, https://doi.org/10.1016/0960-1686(93)90257-Y, 1993. a
Ruggeri, G. and Takahama, S.: Technical Note: Development of chemoinformatic tools to enumerate functional groups in molecules for organic aerosol characterization, Atmos. Chem. Phys., 16, 4401–4422, https://doi.org/10.5194/acp-16-4401-2016, 2016. a
Russell, L. M.: Aerosol Organic-Mass-to-Organic-Carbon Ratio Measurements, Environ. Sci. Technol., 37, 2982–2987, https://doi.org/10.1021/es026123w, 2003. a
Russell, L. M., Takahama, S., Liu, S., Hawkins, L. N., Covert, D. S., Quinn, P. K., and Bates, T. S.: Oxygenated fraction and mass of organic aerosol from direct emission and atmospheric processing measured on the R/V Ronald Brown during TEXAQS/GoMACCS 2006, J. Geophys. Res.-Atmos., 114, D00F05, https://doi.org/10.1029/2008JD011275, 2009. a, b
Russo, C., Stanzione, F., Tregrossi, A., and Ciajolo, A.: Infrared Spectroscopy of Some Carbon-Based Materials Relevant in Combustion: Qualitative and Quantitative Analysis of Hydrogen, Carbon, 74, 127–138, https://doi.org/10.1016/j.carbon.2014.03.014, 2014. a, b
Sharma, D. and Jain, S.: Impact of Intervention of Biomass Cookstove Technologies and Kitchen Characteristics on Indoor Air Quality and Human Exposure in Rural Settings of India, Environ. Int., 123, 240–255, https://doi.org/10.1016/j.envint.2018.11.059, 2019. a
Shen, G., Gaddam, C. K., Ebersviller, S. M., Vander Wal, R. L., Williams, C., Faircloth, J. W., Jetter, J. J., and Hays, M. D.: A Laboratory Comparison of Emission Factors, Number Size Distributions, and Morphology of Ultrafine Particles from 11 Different Household Cookstove-Fuel Systems, Environ. Sci. Technol., 51, 6522–6532, https://doi.org/10.1021/acs.est.6b05928, 2017a. a
Shen, G., Preston, W., Ebersviller, S. M., Williams, C., Faircloth, J. W., Jetter, J. J., and Hays, M. D.: Polycyclic Aromatic Hydrocarbons in Fine Particulate Matter Emitted from Burning Kerosene, Liquid Petroleum Gas, and Wood Fuels in Household Cookstoves, Energ. Fuel., 31, 3081–3090, https://doi.org/10.1021/acs.energyfuels.6b02641, 2017b. a, b
Shiraiwa, M., Ueda, K., Pozzer, A., Lammel, G., Kampf, C. J., Fushimi, A., Enami, S., Arangio, A. M., Fröhlich-Nowoisky, J., Fujitani, Y., Furuyama, A., Lakey, P. S. J., Lelieveld, J., Lucas, K., Morino, Y., Pöschl, U., Takahama, S., Takami, A., Tong, H., Weber, B., Yoshino, A., and Sato, K.: Aerosol Health Effects from Molecular to Global Scales, Environ. Sci. Technol., 51, 13545–13567, https://doi.org/10.1021/acs.est.7b04417, 2017. a
Subramanian, R., Khlystov, A. Y., Cabada, J. C., and Robinson, A. L.: Positive and Negative Artifacts in Particulate Organic Carbon Measurements with Denuded and Undenuded Sampler Configurations Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program, Aerosol Sci. Tech., 38, 27–48, https://doi.org/10.1080/02786820390229354, 2004. a
Takahama, S. and Ruggeri, G.: Technical note: Relating functional group measurements to carbon types for improved model–measurement comparisons of organic aerosol composition, Atmos. Chem. Phys., 17, 4433–4450, https://doi.org/10.5194/acp-17-4433-2017, 2017. a, b, c
Takahama, S., Schwartz, R. E., Russell, L. M., Macdonald, A. M., Sharma, S., and Leaitch, W. R.: Organic functional groups in aerosol particles from burning and non-burning forest emissions at a high-elevation mountain site, Atmos. Chem. Phys., 11, 6367–6386, https://doi.org/10.5194/acp-11-6367-2011, 2011. a
Takahama, S., Ruggeri, G., and Dillner, A. M.: Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands, Atmos. Meas. Tech., 9, 3429–3454, https://doi.org/10.5194/amt-9-3429-2016, 2016. a, b
Ţucureanu, V., Matei, A., and Avram, A. M.: FTIR Spectroscopy for Carbon Family Study, Crit. Rev. Anal. Chem., 46, 502–520, https://doi.org/10.1080/10408347.2016.1157013, 2016. a
Tuinstra, F. and Koenig, J. L.: Raman Spectrum of Graphite, J. Chem. Phys., 53, 1126–1130, https://doi.org/10.1063/1.1674108, 1970. a
Weakley, A. T., Takahama, S., Wexler, A. S., and Dillner, A. M.: Ambient aerosol composition by infrared spectroscopy and partial least squares in the chemical speciation network: Multilevel modeling for elemental carbon, Aerosol Sci. Tech., 52, 642–654, https://doi.org/10.1080/02786826.2018.1439571, 2018. a
WHO: Indoor Air Quality Guidelines: Household Fuel Combustion, World Health Organization, 1–172, http://apps.who.int//iris/bitstream/10665/141496/1/9789241548885_eng.pdf (last access: 16 April 2024), 2014. a
Wold, S., Martens, H., and Wold, H.: The Multivariate Calibration Problem in Chemistry Solved by the PLS Method, in: Matrix Pencils, edited by: Kågström, B. and Ruhe, A., Lect. Notes Math., Springer Berlin Heidelberg, 286–293, https://doi.org/10.1007/BFb0062108, 1983. a
Xia, W., Zhou, C., and Peng, Y.: Improving Flotation Performance of Intruded Coal Using Heavy Oil as a Collector, Energ. Source. Part A, 39, 1124–1130, https://doi.org/10.1080/15567036.2017.1299256, 2017. a, b
Xie, M., Shen, G., Holder, A. L., Hays, M. D., and Jetter, J. J.: Light Absorption of Organic Carbon Emitted from Burning Wood, Charcoal, and Kerosene in Household Cookstoves, Environ. Pollut., 240, 60–67, https://doi.org/10.1016/j.envpol.2018.04.085, 2018. a
Yazdani, A., Dillner, A. M., and Takahama, S.: Estimating mean molecular weight, carbon number, and OM
Yazdani, A., Dudani, N., Takahama, S., Bertrand, A., Prévôt, A. S. H., El Haddad, I., and Dillner, A. M.: Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols, Atmos. Chem. Phys., 21, 10273–10293, https://doi.org/10.5194/acp-21-10273-2021, 2021b. a, b, c, d
Yazdani, A., Dudani, N., Takahama, S., Bertrand, A., Prévôt, A. S. H., El Haddad, I., and Dillner, A. M.: AMS and FTIR spectra of primary and aged fine PM from wood burning and coal combustion, Zenodo [data set], https://doi.org/10.5281/zenodo.4882967, 2021. a
Yazdani, A., Dudani, N., Takahama, S., Bertrand, A., Prévôt, A. S. H., El Haddad, I., and Dillner, A. M.: Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy, Atmos. Meas. Tech., 15, 2857–2874, https://doi.org/10.5194/amt-15-2857-2022, 2022. a
Short summary
Infrared spectroscopy is a cost-effective measurement technique to characterize the chemical composition of organic aerosol emissions. This technique differentiates the organic matter emission factor from different fuel sources by their characteristic functional groups. Comparison with collocated measurements suggests that polycyclic aromatic hydrocarbon concentrations in emissions estimated by conventional chromatography may be substantially underestimated.
Infrared spectroscopy is a cost-effective measurement technique to characterize the chemical...
