Articles | Volume 17, issue 13
https://doi.org/10.5194/acp-17-8211-2017
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

Viewed

Total article views: 3,357 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,964 1,278 115 3,357 81 122
  • HTML: 1,964
  • PDF: 1,278
  • XML: 115
  • Total: 3,357
  • BibTeX: 81
  • EndNote: 122
Views and downloads (calculated since 22 Dec 2016)
Cumulative views and downloads (calculated since 22 Dec 2016)

Viewed (geographical distribution)

Total article views: 3,357 (including HTML, PDF, and XML) Thereof 3,270 with geography defined and 87 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 17 Jul 2024
Download
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.
Altmetrics
Final-revised paper
Preprint