Unknown

Dataset Information

Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data.


ABSTRACT: Air sensors can provide valuable non-regulatory and supplemental data as they can be affordably deployed in large numbers and stationed in remote areas far away from regulatory air monitoring stations. Air sensors have inherent limitations that are critical to understand before collecting and interpreting the data. Many of these limitations are mechanistic in nature, which will require technological advances. However, there are documented quality assurance (QA) methods to promote data quality. These include laboratory and field evaluation to quantitatively assess performance, the application of corrections to improve precision and accuracy, and active management of the condition or state of health of deployed air quality sensors. This paper summarizes perspectives presented at the U.S. Env

SUBMITTER: Barkjohn KK 

PROVIDER: S-EPMC11534011 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature