Validating and Comparing Highly Resolved Commercial "Off the Shelf" PM Monitoring Sensors with Satellite Based Hybrid Models, for Improved Environmental Exposure Assessment

Sensors (Basel). 2020 Dec 24;21(1):63. doi: 10.3390/s21010063.


Particulate matter is a common health hazard, and under certain conditions, an ecological threat. While many studies were conducted in regard to air pollution and potential effects, this paper serves as a pilot scale investigation into the spatial and temporal variability of particulate matter (PM) pollution in arid urban environments in general, and Beer-Sheva, Israel as a case study. We explore the use of commercially off the shelf (COTS) sensors, which provide an economical solution for spatio-temporal measurements. We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean R2=0.93, average SD=17.5). The second stage examined the COTS sensors that were proven accurate in a mobile measurement campaign. Finally, data collected was compared to a validated satellite prediction model. We present how these tests and COTS sensor-kits could then be used to further explain the continuity and dispersion of particulate matter in similar areas.

Keywords: Brompton bicycle; bike; dust sensors; micro-controllers; mobile measurements; particulate matter.

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / analysis
  • Environmental Exposure
  • Environmental Monitoring*
  • Particulate Matter / analysis*


  • Air Pollutants
  • Particulate Matter