Publicly available low-cost sensor measurements for PM2.5 exposure modeling: Guidance for monitor deployment and data selection

Publicly available low-cost sensor measurements for PM2.5 exposure modeling: Guidance for monitor deployment and data selection

High-resolution, high-quality exposure modeling is critical for assessing the health effects of ambient PM2.5 in epidemiological studies. Using sparse regulatory PM2.5 measurements as principal model inputs may result in two issues in exposure prediction: (1) they may affect the models’ accuracy in...

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Bibliographic Details
Main Authors: Jianzhao Bi, Nancy Carmona, Magali N. Blanco, Amanda J. Gassett, Edmund Seto, Adam A. Szpiro, Timothy V. Larson, Paul D. Sampson, Joel D. Kaufman, Lianne Sheppard
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Environment International
Subjects:
PurpleAir
High-resolution
Exposure assessment
Fine particulate matter
Model validation
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412021005225

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http://www.sciencedirect.com/science/article/pii/S0160412021005225

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