Exploiting stagnant conditions to derive robust emission ratio estimates for CO<sub>2</sub>, CO and volatile organic compounds in Paris
We propose an approach to estimate urban emission ratios that takes advantage of the enhanced local urban signal in the atmosphere at low wind speed. We apply it to estimate monthly ratios between CO<sub>2</sub>, CO and some VOCs from several atmospheric concentration measurement data...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-12-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/16/15653/2016/acp-16-15653-2016.pdf |
| Summary: | We propose an approach to estimate urban emission ratios that takes
advantage of the enhanced local urban signal in the atmosphere at low wind
speed. We apply it to estimate monthly ratios between CO<sub>2</sub>, CO and some
VOCs from several atmospheric concentration measurement datasets acquired in
the centre of Paris between 2010 and 2014. We find that this approach is
not very sensitive to the regional background level definition and that, in
the case of Paris, it samples all days (weekdays and weekends) and all hours
of the day evenly. A large seasonal variability of the ΔCO ∕ ΔCO<sub>2</sub> ratio in Paris is shown, with a difference of around 60 %
between the extreme values and a strong anti-correlation (<i>r</i><sup>2</sup> = 0.75)
with atmospheric temperature. The comparison of the ratios obtained for two
short measurement campaigns conducted in two different districts and two
different periods (autumn and winter) shows differences ranging from −120
to +63 %. A comparison with a highly resolved regional emission
inventory suggests some spatial variations of the ratio within the city. |
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| ISSN: | 1680-7316 1680-7324 |