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Sensors 2017, 17(9), 2072; doi:10.3390/s17092072

Quantifying Neighborhood-Scale Spatial Variations of Ozone at Open Space and Urban Sites in Boulder, Colorado Using Low-Cost Sensor Technology

Department of Mechanical Engineering, University of Colorado Boulder, Boulder 80309, CO, USA
SOARS Program, UCAR, Boulder 80301, CO, USA
Author to whom correspondence should be addressed.
Received: 7 August 2017 / Revised: 30 August 2017 / Accepted: 7 September 2017 / Published: 10 September 2017
(This article belongs to the Special Issue Air Pollution Sensors: A New Class of Tools to Measure Air Quality)
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Recent advances in air pollution sensors have led to a new wave of low-cost measurement systems that can be deployed in dense networks to capture small-scale spatio-temporal variations in ozone, a pollutant known to cause negative human health impacts. This study deployed a network of seven low-cost ozone metal oxide sensor systems (UPods) in both an open space and an urban location in Boulder, Colorado during June and July of 2015, to quantify ozone variations on spatial scales ranging from 12 m between UPods to 6.7 km between open space and urban measurement sites with a measurement uncertainty of ~5 ppb. The results showed spatial variability of ozone at both deployment sites, with the largest differences between UPod measurements occurring during the afternoons. The peak median hourly difference between UPods was 6 ppb at 1:00 p.m. at the open space site, and 11 ppb at 4:00 p.m. at the urban site. Overall, the urban ozone measurements were higher than in the open space measurements. This study evaluates the effectiveness of using low-cost sensors to capture microscale spatial and temporal variation of ozone; additionally, it highlights the importance of field calibrations and measurement uncertainty quantification when deploying low-cost sensors. View Full-Text
Keywords: ozone; spatial variability; air pollution; exposure science; low-cost sensors ozone; spatial variability; air pollution; exposure science; low-cost sensors

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cheadle, L.; Deanes, L.; Sadighi, K.; Gordon Casey, J.; Collier-Oxandale, A.; Hannigan, M. Quantifying Neighborhood-Scale Spatial Variations of Ozone at Open Space and Urban Sites in Boulder, Colorado Using Low-Cost Sensor Technology. Sensors 2017, 17, 2072.

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