First Results From a Calibrated Network of Low-Cost PM_2.5 Monitors in Mombasa, Kenya Show Exceedance of Healthy Guidelines.

ABSTRACT: The paucity of fine particulate matter (PM_2.5) measurements limits estimates of air pollution mortality in Sub-Saharan Africa. Well calibrated low-cost sensors can provide reliable data especially where reference monitors are unavailable. We evaluate the performance of Clarity Node-S PM monitors against a Tapered element oscillating microbalance (TEOM) 1400a and develop a calibration model in Mombasa, Kenya's second largest city. As-reported Clarity Node-S data from January 2023 through April 2023 was moderately correlated with the TEOM-1400a measurements (R ² = 0.61) and exhibited a mean absolute error (MAE) of 7.03 μg m^-3. Employing three calibration models, namely, multiple linear regression (MLR), Gaussian mixture regression and random forest (RF

SUBMITTER: Njeru MN 

PROVIDER: S-EPMC11415614 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature