low-cost monitors; particulate matter; participatory research
Community Keywords:
Why is this useful?
Authors provide example of how the community air monitoring network of PM2.5 & PM10 sensors identified a larger number of pollution episodes and identified under-reporting by the federal regulatory monitors. The participatory approach of the project resulted in increased engagement from local and state agencies and increased local knowledge about air quality, data interpretation, and health impacts. Community air monitoring networks have the potential to provide real-time reliable data to local populations
Citation:
English P, Amato H, Bejarano E, Carvlin G, Lugo H, Jerrett M, King G, Madrigal D, Meltzer D, Northcross A, Olmedo L, Seto E, Torres C, Wilkie A, Wong M. Performance of a Low-Cost Sensor Community Air Monitoring Network in Imperial County, CA. Sensors. 2020; 20(11):3031. https://doi.org/10.3390/s20113031
Abstract:
: Air monitoring networks developed by communities have potential to reduce exposures and affect environmental health policy, yet there have been few performance evaluations of networks of these sensors in the field. We developed a network of over 40 air sensors in Imperial County, CA, which is delivering real-time data to local communities on levels of particulate matter. We report here on the performance of the Network to date by comparing the low-cost sensor readings to regulatory monitors for 4 years of operation (2015–2018) on a network-wide basis. Annual mean levels of PM10 did not differ statistically from regulatory annual means, but did for PM2.5 for two out of the 4 years. R2 s from ordinary least square regression results ranged from 0.16 to 0.67 for PM10, and increased each year of operation. Sensor variability was higher among the Network monitors than the regulatory monitors. The Network identified a larger number of pollution episodes and identified under-reporting by the regulatory monitors. The participatory approach of the project resulted in increased engagement from local and state agencies and increased local knowledge about air quality, data interpretation, and health impacts. Community air monitoring networks have the potential to provide real-time reliable data to local populations.
Authors:
Wong, Bejarano, Carvlin, Fellows ID , King, Humberto Lugo, Jerrett, Meltzer ID, Northcross, Olmedo, Seto, Wilkie and English
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