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Can Aircraft-Based Remote-Sensing NO2 Measurements Combined with High Resolution Model Data Improve NO2 Exposure Estimates over Urban Areas?

2017; Springer International Publishing; Linguagem: Inglês

10.1007/978-3-319-57645-9_26

2213-8692

Wouter Lefebvre, Hans Hooyberghs, Felix Deutsch, Frederick Tack, Michel Van Roozendaël, Marian-Daniel Iordache, Frans Fierens, Charlotte Vanpoucke, Sandy Adriaenssens, Shari Van Wittenberghe, Peter Viaene, Koen Meuleman, Olav Peeters, Alexis Merlaud,

Air Quality Monitoring and Forecasting

As part of the STEREO-III BUMBA (Belgian Urban NO2 Monitoring Based on APEX hyperspectral data) project, we try to exploit the synergy between NO2 column measurements derived from the aircraft-based APEX hyperspectral imaging system and high-resolution model data from a combined land use regression-Gaussian plume model system for the complex city-port region of Antwerp (Belgium). The resulting model maps are then used to determine the NO2-exposure of the population of the region. Several difficulties are encountered when attempting to reconcile measurements and model results. These stem from four main different reasons: In conclusion, our study shows that the use of APEX data to constrain NO2-exposure estimations is a complex process involving a number of uncertainties that need to be properly characterised. In particular we find that a robust methodology for relating concentration profiles to surface concentrations is needed before aircraft data can eventually help improving the model input data (e.g. time factors). This is further studied in the project.