Measuring Spatial and Temporal PM<sub>2.5</sub> Variations in Sacramento, California, Communities Using a Network of Low-Cost Sensors

Measuring Spatial and Temporal PM<sub>2.5</sub> Variations in Sacramento, California, Communities Using a Network of Low-Cost Sensors

Low-cost sensors can provide insight on the spatio-temporal variability of air pollution, provided that sufficient efforts are made to ensure data quality. Here, 19 AirBeam particulate matter (PM) sensors were deployed from December 2016 to January 2017 to determine the spatial variability of PM<...

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Bibliographic Details
Main Authors: Anondo Mukherjee, Steven G. Brown, Michael C. McCarthy, Nathan R. Pavlovic, Levi G. Stanton, Janice Lam Snyder, Stephen D’Andrea, Hilary R. Hafner
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
low-cost sensor
particulate matter
air quality
calibration strategies
network design
Online Access:https://www.mdpi.com/1424-8220/19/21/4701

Internet

https://www.mdpi.com/1424-8220/19/21/4701

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