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Top-Down NO

Willem W Verstraeten1,2,3, Klaas Folkert Boersma4,5, John Douros6

  • 1Royal Meteorological Institute of Belgium (RMI), Ukkel, B-1180 Brussels, Belgium. willem.verstraeten@meteo.be.

Sensors (Basel, Switzerland)
|September 12, 2018
PubMed
Summary
This summary is machine-generated.

Top-down estimates of nitrogen oxides (NOx) emissions for 23 European cities were derived using satellite data and a chemistry transport model. This method shows potential for real-time urban NOx emission updates with reasonable accuracy.

Keywords:
LOTOS-EUROS CTMOMI datasurface NOX emissionstropospheric NO2 column

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Area of Science:

  • Atmospheric chemistry and air quality monitoring.
  • Remote sensing and chemical transport modeling.

Background:

  • Accurate estimation of urban nitrogen oxides (NOx) emissions is crucial for air quality management.
  • Existing bottom-up emission inventories may have limitations in temporal and spatial resolution.

Purpose of the Study:

  • To derive top-down estimates of NOx emissions for 23 European cities using satellite and model data.
  • To assess the agreement between top-down estimates and bottom-up emission inventories.
  • To evaluate the utility of the downwind plume decay method for real-time NOx emission monitoring.

Main Methods:

  • Utilized tropospheric nitrogen dioxide (NO₂) columns from the Ozone Monitoring Instrument (OMI) satellite and the LOTOS-EUROS chemistry transport model (CTM).
  • Applied the downwind plume decay method to estimate NOx emissions for the summertime period (April–September) in 2013.
  • Compared derived top-down NOx emissions with bottom-up emissions from the MACC-III inventory.

Main Results:

  • Top-down NOx emissions from LOTOS-EUROS showed good agreement with MACC-III bottom-up emissions (R² = 0.88).
  • OMI-derived NOx emissions were generally lower than MACC-III emissions, with a slightly lower correlation (R² = 0.79).
  • Uncertainties in derived NO₂ lifetimes and NOx emissions were approximately 55% for OMI and 63% for LOTOS-EUROS.

Conclusions:

  • The downwind NO₂ plume method is a viable approach for estimating urban NOx emissions.
  • This method offers a useful tool for real-time updates of urban NOx emissions with reasonable accuracy.
  • Both satellite (OMI) and CTM (LOTOS-EUROS) data can be applied to this method, providing complementary insights.