# Identifying dust events using only PA sensor data

**URL:** <https://community.purpleair.com/t/identifying-dust-events-using-only-pa-sensor-data/22591>\
**Category:** Research\
**Created:** [March 15, 2026, 6:32pm UTC](https://community.purpleair.com/t/identifying-dust-events-using-only-pa-sensor-data/22591 "2026-03-15T18:32:54Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Kerry\_Kelly](https://sea2.discourse-cdn.com/flex020/user_avatar/community.purpleair.com/kerry_kelly/32/347_2.png) [@Kerry\_Kelly](https://community.purpleair.com/u/Kerry_Kelly)\
**Post date:** [March 15, 2026, 6:32pm UTC](https://community.purpleair.com/t/identifying-dust-events-using-only-pa-sensor-data/22591/1 "2026-03-15T18:32:54Z")

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Our tea at the University of Utah in partnership with Dr. Barkjohn at EPA developed a strategy to identify and correct PM2.5 estimates during dust-dominant periods.

> **[Correction of PM2.5 underestimation in low-cost sensors under elevated dust...](https://amt.copernicus.org/articles/19/1077/2026/)**
>
> Abstract. The Plantower PMS5003/6003 sensor is widely used for low-cost monitoring of particulate matter (PM), but it substantially underestimates PM2.5 and PM10 during periods of elevated dust loading, when the particle size distribution is...