Design and Performance of a NO2 Camera for Urban Air Quality Monitoring

Emmanuel Dekemper*, J. Vanhamel , Michael Van Roozendael

*Corresponding author for this work

Research output: Contribution to conferenceAbstractScientific

Abstract

The latest generation of nadir-looking air pollution monitoring instruments (e.g. Sentinel-5P) deliver daily global maps of tropospheric NO2 columns with an unprecedented spatial resolution and accuracy. Still, the ground pixel size makes the product unusable for applications targeting the assessment of personal exposure, or other street-level effects. While a lot of research is dedicated to upscaling the satellite products by the synergistic use of air quality monitoring stations and pollution dispersion models, there is a need for innovative instrumentation capable of bridging the street-level needs with the city-wide sampling of satellite NO2 maps.
An innovative passive optical instrument has been developed, which is capable of imaging the field of NO2 above the skyline of a city. The measurement principle consists in recording a multispectral cube of the scene at several wavelengths providing a good sensitivity to NO2. A DOAS-like retrieval algorithm fits the abundance of NO2 seen by every pixel of the image. The product is a high resolution map of the NO2 above a city, with a spatial and temporal resolution unseen so far.
We present the instrumental concept, and measurement approach. Data acquired above Brussels, Belgium, have been validated with a reference instrument, a MAX-DOAS spectrometer driven in an unusual way in order to sample the NO2 camera field of view. Excellent consistency between the two instruments was found, opening the way for further applications of this concept.
Original languageEnglish
Number of pages1
Publication statusPublished - 2022
EventAGU Fall Meeting 2022 - Chicago, United States
Duration: 12 Dec 202216 Dec 2022

Conference

ConferenceAGU Fall Meeting 2022
Abbreviated titleAGU 2022
Country/TerritoryUnited States
CityChicago
Period12/12/2216/12/22

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