Articles | Volume 8, issue 9
https://doi.org/10.5194/amt-8-3563-2015
https://doi.org/10.5194/amt-8-3563-2015
Research article
 | 
03 Sep 2015
Research article |  | 03 Sep 2015

Finding candidate locations for aerosol pollution monitoring at street level using a data-driven methodology

V. Moosavi, G. Aschwanden, and E. Velasco

Viewed

Total article views: 2,698 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,503 1,094 101 2,698 502 114 115
  • HTML: 1,503
  • PDF: 1,094
  • XML: 101
  • Total: 2,698
  • Supplement: 502
  • BibTeX: 114
  • EndNote: 115
Views and downloads (calculated since 26 Mar 2015)
Cumulative views and downloads (calculated since 26 Mar 2015)

Cited

Saved (final revised paper)

Saved (preprint)

Latest update: 17 Jul 2024
Download
Short summary
Complexity of urban environments makes the problem of locating air quality monitoring stations at ground level challenging. In this work a data-driven methodology is proposed where using Self Organizing Maps along with several urban parameters and few direct measurements of aerosols at the street level, the concentration of those aerosols in a larger area is estimated. Finally, via clustering of areas with similar urban patterns, the potential locations of monitoring stations are identified.