Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana

Autor:	Garima Raheja, Daniel M. Westervelt, Celeste McFarlane, Carl Malings, Allison F Hughes, Emmanuel K. E. Appoh
Rok vydání:	2021
Předmět:	Atmospheric Science Space and Planetary Science Geochemistry and Petrology Monitoring data Statistics Environmental science Particulates Gaussian mixture regression Air quality index
Zdroj:	ACS Earth and Space Chemistry. 5:2268-2279
ISSN:	2472-3452
DOI:	10.1021/acsearthspacechem.1c00217
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8608aa0178fb0c8d536363b9e47d6b70 https://doi.org/10.1021/acsearthspacechem.1c00217 Zobrazit plný text záznamu