Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 8, issue 9
Articles | Volume 8, issue 9
https://doi.org/10.5194/amt-8-3563-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-3563-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 8, issue 9
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: 3,108 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,770 1,221 117 3,108 573 153 167
  • HTML: 1,770
  • PDF: 1,221
  • XML: 117
  • Total: 3,108
  • Supplement: 573
  • BibTeX: 153
  • EndNote: 167
Views and downloads (calculated since 26 Mar 2015)
Cumulative views and downloads (calculated since 26 Mar 2015)
Latest update: 22 Nov 2025
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.
Read more
Share