Articles | Volume 17, issue 13
Atmos. Chem. Phys., 17, 8211–8230, 2017
https://doi.org/10.5194/acp-17-8211-2017
Atmos. Chem. Phys., 17, 8211–8230, 2017
https://doi.org/10.5194/acp-17-8211-2017

Research article 06 Jul 2017

Research article | 06 Jul 2017

Estimating daily surface NO2 concentrations from satellite data – a case study over Hong Kong using land use regression models

Jasdeep S. Anand and Paul S. Monks

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jasdeep Anand on behalf of the Authors (13 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 May 2017) by Anne Perring
RR by Anonymous Referee #2 (02 Jun 2017)
ED: Publish as is (04 Jun 2017) by Anne Perring
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Short summary
Previous investigations into Chinese urban air quality have been hampered by a lack of available data. In this work we present a new statistical modelling technique, in which sparse ground-based measurements of nitrogen dioxide (NO2) are combined with satellite data and other parameters (e.g. road networks) to create high-resolution maps of daily surface NO2 concentrations over Hong Kong. These maps can be used to estimate population exposure, and to identify at-risk groups.
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