Elucidating the chemistry of particulate and chlorinated nitrates in the troposphere through method development, and chamber and field studies
Bibliographic record
Abstract
This thesis explores the chemistry of chlorinated and particulate nitrogen oxides in the troposphere which can impact the budgets of atmospheric oxidants and aerosol. Mixing ratios of nitryl chloride (ClNO2) were measured by chemical ionization mass spectrometry (CIMS) during the ORCA campaign in July 2015 on the west coast of Vancouver Island. Mean ClNO2 mixing ratios were small (< 10 pptv) with a maximum of 46 pptv, in part due to low precursor concentrations, i.e., of nitrogen dioxide (NO2) and ozone, and large nitrate radical sinks, e.g., titration by monoterpenes. Concentrations of ClNO2 were enhanced in air masses with elevated NO2 concentrations that had resided over the ocean, demonstrating the potential of ClNO2 to affect radical budgets in remote environments. The potential loss of ClNO2 by uptake on inorganic and secondary organic aerosol (SOA) was investigated in a newly constructed smog chamber. Uptake probabilities (γ) were determined by box modeling constrained to measured ClNO2 mixing ratios and SMPS derived aerosol surface area. An upper limit of γ< 4x10-4 was determined for (NH4)2SO4 and NH4HSO4 aerosol, but larger values were needed for monoterpene derived SOA, i.e., γ=(8+/-2)x10-4. Uptake of ClNO2 on SOA reduces its lifetime and impact on nitrogen oxide and chlorine budgets downwind of coastal areas where marine and continental air masses combine. A method to quantify NH4NO3 and NaNO3 aerosol by thermal dissociation cavity ring-down spectroscopy (TD-CRDS) was developed. At inlet temperatures of 540 °C and 620 °C, respectively, scatter plots of SMPS volume distribution data and TD-CRDS mixing ratios correlated (r2>0.9) with unity slopes in laboratory experiments. Sample ambient air measurements in Calgary, AB in August 2018 showed the presence of particulate organic nitrates at inlet temperatures < 350 °C (consistent with smog chamber experiments with limonene SOA) and of inorganic nitrate aerosol, demonstrating the potential of TD-CRDS for ambient particulate measurements.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".