the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Chemical Properties and Single Particle Mixing State of Soot Aerosol in Houston during the TRACER Campaign
Ryan Farley
James Lee
Laura-Hélèna Rivellini
Alex Lee
Rachael Dal Porto
Christopher Cappa
Kyle Gorkowski
Abu Sayeed Md Shawon
Katherine Benedict
Allison Aiken
Manvendra Dubey
Abstract. A high-resolution soot particle aerosol mass spectrometer (SP-AMS) was used to selectively measure refractory black carbon (rBC) and its associated coating material using both the ensemble size-resolved mass spectral mode and the event trigger single particle (ETSP) mode in Houston, Texas in summer 2022. This study was conducted as part of the Department of Energy Atmospheric Radiation Measurement (ARM) program’s Tracking Aerosol Convection Interactions Experiment (TRACER) field campaign. The study revealed an average (± 1s) rBC concentration of 103 ± 176 ng m-3. Additionally, the coatings on the BC particles were primarily composed of organics (59 %; 219 ± 260 ng m-3) and sulfate (26 %; 94 ± 55 ng m-3). Positive matrix factorization (PMF) analysis of the ensemble mass spectra of BC-containing particles resolved four distinct types of soot aerosol, including an oxidized organic aerosol (OOABC,PMF) factor associated with processed primary organic aerosol, an inorganic sulfate factor (SO4,BC,PMF), an oxidized rBC factor (O-BCPMF), and a mixed mineral dust/biomass burning aerosol factor with significant contribution from potassium (K-BBBC,PMF). Additionally, K-Means clustering analysis of the single particle mass spectra identified eight different clusters, including soot particles enriched in hydrocarbon like organic aerosol (HOABC,ETSP), sulfate (SO4,BC,ETSP), two types of rBC, OOA (OOABC,ETSP), chloride (ClBC,ETSP) and nitrate (NO3,BC,ETSP). The single particle measurements demonstrate substantial variation in BC coating thickness with coating-to-rBC mass ratios ranging from 0.1 to 100. The mixing state index (χ), which denotes the degree of homogeneity of the soot aerosol, varied from 4 to 94 % with a median of 40 %, indicating that the aerosol population lies in between internal and external mixing but has large temporal and source type variability. In addition, a significant fraction of BC-containing particles, a majority enriched with oxidized organics and sulfate, exhibit sufficiently high κ values and diameters conducive to activation as cloud nuclei under atmospherically relevant supersaturation conditions. This finding bears significance in comprehending the activation of rBC-containing particles as cloud droplets and the origins of CCN in urban areas. Our analysis highlights the complex nature of soot aerosol and underscore the need to comprehend its variability across different environments for accurate assessment of climate change.
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Ryan Farley et al.
Status: open (until 31 Dec 2023)
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RC1: 'Comment on egusphere-2023-2328', Anonymous Referee #1, 08 Dec 2023
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Overall this paper is very well written and gives a good description of the application of a new technique to gain knowledge with respect to the speciation of black carbon containing aerosols. I would recommend this paper for inclusion to this journal after some minor revisions and other points are considered. Points are listed below.
- Line 103: Vmode is the standard default mode of operation for any field measurements with AMS. This is just a wording thing but when you state cost of lower resolution it makes it sound as if you are running the instrument in sub optimal which you really aren’t. I know W mode gives you 2*resolution in V mode but at about 1/10 the sensitivity so V mode is the typical default mode.
- Line 319; the thickly coated particles could also be from a dirty combustion source like BB or cooking which is heavily coated on primary emission.
- Line 234; can you get insight to the SO4 makeup by looking at the cconventional AMS data as well
- Line 243; I understand the need for both of these assumptions. Internally mixed within BC wont vap with conventional hearter and the instruments had different size cut lenses Standard vs 2.5 Can you give any information like size profile with SMPS or just theory to back up these assumptions.
- Line 273 good point mz 36 bias
- Line 279 good point on larger particles more likely to trigger
- Line 286 good point on some particles having poor overlap and therefore only partial vap.
- Lines 340 – 360 Are any of these metals being seen without BC? I know the laser does vaporize many elemental metals. If so could help differentiate between BB and dust.
- Lines 370 – 380 Could this also be due to not enough ions with smaller particles to trigger an event.
- Line 390 Should be C5+
- Line 435 – 439 Again is any of this metal without BC?
- Lines 495 497 Good point on the isobaric issues.
- Figure 1 a-d I assume the shading is error bars for the SP-AMS measurements but I don’t see this stated anywhere.
- Figure 3 e-j This highlights the issue of smaller sizes not being detected as well with event trigger.
Citation: https://doi.org/10.5194/egusphere-2023-2328-RC1
Ryan Farley et al.
Ryan Farley et al.
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