 |
| Titel |
Atmospheric observations for quantifying emissions of point-source synthetic greenhouse gases (CF4, NF3 and HFC-23) |
| VerfasserIn |
Tim Arnold, Alistair J. Manning, Shanlan Li, Jooil Kim, Sunyoung Park, Paul J. Fraser, Blagoj Mitrevski, L. Paul Steele, Paul B. Krummel, Jens Muhle, Ray F. Weiss |
| Konferenz |
EGU General Assembly 2016
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250127938
|
| Publikation (Nr.) |
 EGU/EGU2016-7870.pdf |
|
|
|
|
|
| Zusammenfassung |
| The fluorinated species carbon tetrafluoride (CF4; PFC-14), nitrogen trifluoride (NF3)
and trifluoromethane (CHF3; HFC-23) are potent greenhouse gases with 100-year
global warming potentials of 6,630, 16,100 and 12,400, respectively. Unlike the
majority of CFC-replacement compounds that are emitted from fugitive and mobile
emission sources, these gases are largely emitted from large single point sources –
semiconductor manufacturing facilities (all three), aluminium smelting plants (CF4) and
chlorodifluoromethane factories (HFC-23). In this work we show the potential for
atmospheric measurements to understand regional sources of these gases and to highlight
emission ‘hotspots’. We target our analysis on measurements from two Advanced Global
Atmospheric Gases Experiment (AGAGE) long term monitoring sites that are particularly
sensitive to regional emissions of these gases: Gosan on Jeju Island in the Republic of Korea
and Cape Grim on Tasmania in Australia. These sites measure CF4, NF3 and HFC-23
alongside a suite of greenhouse and stratospheric ozone depleting gases every two hours
using automated in situ gas-chromatography mass-spectrometry instrumentation. We couple
each measurement to an analysis of air history using the regional atmospheric transport
model NAME (Numerical Atmospheric dispersion Modelling Environment) driven by 3D
meteorology from the Met Office’s Unified Model, and use a Bayesian inverse method
(InTEM – Inversion Technique for Emission Modelling) to calculate yearly emission
changes over a decade (2005-2015) at high spatial resolution. At present these gases
make a small contribution to global radiative forcing, however, given that their
impact could rise significantly and that point sources of such gases can be mitigated,
atmospheric monitoring could be an important tool for aiding emissions reduction policy. |
|
|
|
|
|
|