Atmospheric ammonia contributes to a number of environmental problems, but many questions regarding the behaviour of ammonia in the atmosphere remain. Field studies were performed to investigate the gas-particle partitioning of ammonia, the surface-atmosphere exchange, and to compare measurements with an online chemical transport model and offline thermodynamic models.
A state-of-the-art instrument, Quantum Cascade Tunable Infrared Laser Differential Absorption Spectrometer (QC-TILDAS), with a novel sampling technique was used to measure ammonia. The detection limit of the instrument was found to be 690 ppt at 1 Hz and 42 ppt when averaged to 5 minutes. The uncertainty in the measurement is 10 % based on calibration from a permeation tube source. Laboratory and field tests show the ammonia time response to be slower at lower mixing ratios, and when the ambient relative humidity is high.
Observations from the first field campaign discussed, the Border Air Quality and Meteorology Study (BAQS-Met), were compared to a chemical transport model AURAMS (A Unified Regional Air quality Modeling System). The model was often biased low in ammonia and ammonium and predicted an incorrect diurnal profile. Observations suggest a coupling between gas-particle and surface-atmosphere equilibria whereby a large atmospheric condensation sink induces emission of ammonia from the surface. A simple approach at representing the ammonia bi-direction flux more closely matched the observations, indicating that a fully coupled bi-directional flux parameterization in chemical transport models is necessary to accurately predict atmospheric ammonia.
A suite of instrumentation during the CalNex 2010 field campaign allowed for in-depth analysis of gas-particle partitioning and estimation of aerosol pH. Observations were compared to predictions from the thermodynamic equilibrium models ISORROPIA and E-AIM. Deviations form equilibrium were found during periods of high levels of aerosol nitrate and positive net charge. The gas-particle partitioning was found to be very sensitive to aerosol pH.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/31742 |
| Date | 06 January 2012 |
| Creators | Ellis, Raluca |
| Contributors | Murphy, Jennifer |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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