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PurpleAir PM2.5 U.S. Correction and Performance During Smoke Events
Citation:
Johnson, K., A. Holder, S. Frederick, G. Hagler, AND A. Clements. PurpleAir PM2.5 U.S. Correction and Performance During Smoke Events. Air Pollution Monitoring for Communities Final Grantee Meeting, Research Triangle Park, NC, February 25, 2020.
Impact/Purpose:
Interest and concern about air quality has grown in recent years. Simultaneously, growth in the popularity and use of air sensors across the US has also occurred especially during wildfires. However, adoption of this technology is limited due to uncertainty and variation in the quality of the data provided. This work evaluates the performance of a popular low-cost PM2.5 sensor (PurpleAir) across the U.S.. It seeks to inform sensor users of potential data accuracy issues and potential correction methods applicable to both this sensor and other similar low-cost sensors during typical ambient and smoke impacted events. This poster will be presented to attendees of the Air Pollution Monitoring for Communities Final Grantee Meeting Feb 25th 2020.
Description:
Interest and concern about air quality has grown in recent years. Simultaneously, growth in the popularity and use of air sensors across the US has also occurred especially during wildfires. However, adoption of this technology is limited due to uncertainty and variation in the quality of the data provided. This work evaluates the performance of a popular low-cost PM2.5 sensor (PurpleAir) across the U.S.. It seeks to inform sensor users of potential data accuracy issues and potential correction methods applicable to this sensor during typical ambient and smoke impacted episodes. Further, it explores the potential use of corrected sensor data in generating the appropriate NowCast Air Quality Index (AQI) value.