Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Volume 8, issue 9
Atmos. Meas. Tech., 8, 3563–3575, 2015
https://doi.org/10.5194/amt-8-3563-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 3563–3575, 2015
https://doi.org/10.5194/amt-8-3563-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
Viewed  
Total article views: 1,374 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
718 617 39 1,374 222 50 57
  • HTML: 718
  • PDF: 617
  • XML: 39
  • Total: 1,374
  • Supplement: 222
  • BibTeX: 50
  • EndNote: 57
Views and downloads (calculated since 26 Mar 2015)
Cumulative views and downloads (calculated since 26 Mar 2015)
Cited  
Saved (final revised paper)  
Saved (discussion paper)  
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 16 Sep 2019
Publications Copernicus
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.
Complexity of urban environments makes the problem of locating air quality monitoring stations...
Citation