Statistical field calibration of a low-cost PM_2.5 monitoring network in Baltimore.

ABSTRACT: Low-cost air pollution monitors are increasingly being deployed to enrich knowledge about ambient air-pollution at high spatial and temporal resolutions. However, unlike regulatory-grade (FEM or FRM) instruments, universal quality standards for low-cost sensors are yet to be established and their data quality varies widely. This mandates thorough evaluation and calibration before any responsible use of such data. This study presents evaluation and field-calibration of the PM_2.5 data from a network of low-cost monitors currently operating in Baltimore, MD, which has only one regulatory PM_2.5 monitoring site within city limits. Co-location analysis at this regulatory site in Oldtown, Baltimore revealed high variability and significant overestimation of PM_2.5

SUBMITTER: Datta A 

PROVIDER: S-EPMC7480820 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature