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_2.5 and PM_coarse) for a vulnerable community in Imperial County, California (CA), near the United States (US)/Mexico border. Data from th...

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Autors principals:	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:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2019-08-01
Col·lecció:	Atmosphere
Matèries:	PM<sub>2.5</sub> PM<sub>coarse</sub> land-use regression community-based participatory research citizen science air sensors community air monitoring
Accés en línia:	https://www.mdpi.com/2073-4433/10/9/495
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