Use of Citizen Science-Derived Data for Spatial and Temporal Modeling of Particulate Matter near the US/Mexico Border

Use of Citizen Science-Derived Data for Spatial and Temporal Modeling of Particulate Matter near the US/Mexico Border

This paper describes the use of citizen science-derived data for the creation of a land-use regression (LUR) model for particulate matter (PM<sub>2.5</sub> and PM<sub>coarse</sub>) for a vulnerable community in Imperial County, California (CA), near the United States (US)/Mex...

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Bibliographic Details
Main Authors: Graeme N. Carvlin, Humberto Lugo, Luis Olmedo, Ester Bejarano, Alexa Wilkie, Dan Meltzer, Michelle Wong, Galatea King, Amanda Northcross, Michael Jerrett, Paul B. English, Jeff Shirai, Michael Yost, Timothy Larson, Edmund Seto
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Atmosphere
Subjects:
PM<sub>2.5</sub>
PM<sub>coarse</sub>
land-use regression
community-based participatory research
citizen science
air sensors
community air monitoring
Online Access:https://www.mdpi.com/2073-4433/10/9/495

Internet

https://www.mdpi.com/2073-4433/10/9/495

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