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  • Lee_2015

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Spatially resolved flux measurements of NOx from London suggest significantly higher emissions than predicted by inventories

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<mark>Journal publication date</mark>1/07/2016
<mark>Journal</mark>Faraday Discussions
Volume189
Number of pages18
Pages (from-to)455-472
Publication StatusPublished
Early online date30/11/15
<mark>Original language</mark>English

Abstract

To date, direct validation of city-wide emissions inventories for air pollutants has been difficult or impossible. However, recent technological innovations now allow direct measurement of pollutant fluxes from cities, for comparison with emissions inventories, which are themselves commonly used for prediction of current and future air quality and to help guide abatement strategies. Fluxes of NOx were measured using the eddy-covariance technique from an aircraft flying at low altitude over London. The highest fluxes were observed over central London, with lower fluxes measured in suburban areas. A footprint model was used to estimate the spatial area from which the measured emissions occurred. This allowed comparison of the flux measurements to the UK’s National Atmospheric Emissions Inventory (NAEI) for NOx, with scaling factors used to account for the actual time of day, day of week and month of year of the measurement. The comparison suggests significant underestimation of NOx emissions in London by the NAEI, mainly due to its under-representation of real world road traffic emissions. A comparison was also carried out with the enhanced London Atmospheric Emissions Inventory (LAEI) which attempts to take into account real world driving emission factors and road measurement data. The measurement to inventory agreement was substantially improved using LAEI, showing the importance of fully accounting for road traffic, which is the dominant NOx emission source in London. In central London there was still an underestimation by the LAEI of 30‐40% compared with flux measurements, suggesting significant improvements are still required in the NOx emissions inventory.