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Assessing representativity of NH3 measurements influenced by boundary-layer dynamics and turbulent dispersion of a nearby emission source.
- Source :
- Atmospheric Chemistry & Physics Discussions; 11/15/2021, p1-25, 25p
- Publication Year :
- 2021
-
Abstract
- This study presents a fine scale simulation approach to assess the representativity of ammonia (NH<subscript>3</subscript>) measurements in proximity of an emission source. Close proximity to emission sources (< 5 km) can introduce a bias in regionally representative measurements of the NH<subscript>3</subscript> molar fraction and flux. Measurement sites should therefore be located a significant distance from emission sources, but such requirements are poorly defined and can be difficult to meet in densely agricultural regions. This study presents a consistent criterium to assess the regional representativity of NH<subscript>3</subscript> measurements in proximity of an emission source, calculating variables that quantify the NH[sub 3] plume dispersion using a series of numerical experiments at a fine resolution (20 m). Our fine scale simulation framework with explicitly resolved turbulence enables us to distinguish between the background NH<subscript>3</subscript> and the emission plume, including realistic representations of NH<subscript>3</subscript> deposition and chemical gas-aerosol transformations. We introduce the concept of blending-distance, based on the calculation of turbulent fluctuations, to systematically analyze the impact of the emission plume on simulated measurements, relative to this background NH<subscript>3</subscript>. This sensitivity analysis includes systematic experiments varying meteorological factors, emission/deposition and NH<subscript>3</subscript> dependences. Considering these sensitivities, we find that NH<subscript>3</subscript> measurements should be located at a minimum distance of 0.5 - 2.5 km and 1-3.5 km from an emission source, for NH<subscript>3</subscript> molar fraction and flux measurements respectively. The simulation framework presented here can easily be adapted to local conditions and paves the way for future ammonia research at high spatio-temporal resolution. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16807367
- Database :
- Complementary Index
- Journal :
- Atmospheric Chemistry & Physics Discussions
- Publication Type :
- Academic Journal
- Accession number :
- 153642781
- Full Text :
- https://doi.org/10.5194/acp-2021-907