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Evaluation and Field Calibration of a Low-cost Ozone Monitor at a Regulatory Urban Monitoring Station

Category: Urban Air Quality

Volume: 18 | Issue: 8 | Pages: 2029-2037
DOI: 10.4209/aaqr.2018.02.0056
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To cite this article:
Masiol, M., Squizzato, S., Chalupa, D., Rich, D.Q. and Hopke, P.K. (2018). Evaluation and Field Calibration of a Low-cost Ozone Monitor at a Regulatory Urban Monitoring Station. Aerosol Air Qual. Res. 18: 2029-2037. doi: 10.4209/aaqr.2018.02.0056.

Mauro Masiol1, Stefania Squizzato1, David Chalupa2, David Q. Rich1,2, Philip K. Hopke 1,3

  • 1 Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14642, USA
  • 2 Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA
  • 3 Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY 13699, USA


A low-cost ozone monitor & FEM were located at an urban air quality station.
A 12% overestimation was found with respect to FEM analyzer.
Differences in response were investigated using air quality and weather data.
Three corrections are proposed to produce “FEM-like” ozone concentrations.


The performance of a low-cost ozone monitor (the Aeroqual Series 500 portable gas monitor coupled with a metal oxide sensor for ozone; model OZL) was assessed under field conditions. Ten ozone monitors were initially calibrated in clean-air laboratory conditions and tested at controlled ozone concentrations of 5 to 100 ppb. Results showed good linearity and a fast response with respect to a conventional research-grade ozone monitor. One monitor was then co-located at a regulatory air quality monitoring station that uses a U.S. federal equivalent method (FEM) ozone analyzer. Raw data from the Aeroqual monitor collected over 4 months (June–October) at a 10-minute time-resolution showed good agreement (r2 = 0.83) with the FEM values but with an overestimation of ~12%. Data were averaged to different time resolutions; 1-h time averaged concentrations showed the best fit with the FEM results (r2 = 0.87). An analysis of the ratio of FEM/monitor concentrations against chemical and meteorological variables suggested potential interference due to temperature, relative humidity, nitrogen oxides, and volatile organic compounds. Three correction models using temperature, humidity, and nitrogen dioxide (NO2) were then tested to better relate the monitor concentrations to the FEM values. Temperature and humidity are two variables commonly available (or easily measurable) at sampling sites. The model (#3) that added NO2 did not substantially improve the fit. Thus, the proposed models with only temperature and humidity can be easily adopted and adapted by any user. The corrected data explained up to 91% of the variance and showed a statistically significant improvement in the fit as well as a decreased influence from the interfering variables on the diurnal and weekly patterns. The correction models were also able to lower the effect of seasonal temperature changes, allowing the use of the monitors over long-term sampling campaigns. This study demonstrated that the Aeroqual ozone monitors can return “FEM-like” concentrations after appropriate corrections. Therefore, data provided by a network of monitors could determine the intra-urban spatial variations in ozone concentrations. These results suggest that these monitors could provide more accurate human exposure assessments and thereby reduce exposure misclassification and its resulting bias in epidemiological studies.


Semiconductor gas sensor Tropospheric ozone Urban air pollution Air pollution exposure

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