Statistical modeling approach for PM(10) prediction before and during confinement by COVID-19 in South Lima, Perú

A total of 188,859 meteorological-PM[Formula: see text] data validated before (2019) and during the COVID-19 pandemic (2020) were used. In order to predict PM[Formula: see text] in two districts of South Lima in Peru, hourly, daily, monthly and seasonal variations of the data were analyzed. Principa...

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Detalles Bibliográficos
Autores principales: Cabello-Torres, Rita Jaqueline, Estela, Manuel Angel Ponce, Sánchez-Ccoyllo, Odón, Romero-Cabello, Edison Alessandro, Ávila, Fausto Fernando García, Castañeda-Olivera, Carlos Alberto, Valdiviezo-Gonzales, Lorgio, Eulogio, Carlos Enrique Quispe, De La Cruz, Alex Rubén Huamán, López-Gonzales, Javier Linkolk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537318/
https://www.ncbi.nlm.nih.gov/pubmed/36202880
http://dx.doi.org/10.1038/s41598-022-20904-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537318/
https://www.ncbi.nlm.nih.gov/pubmed/36202880
http://dx.doi.org/10.1038/s41598-022-20904-2

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