Ensemble averaging using remote sensing data to model spatiotemporal PM10 concentrations in sparsely monitored South Africa-Reference-Cited by-同舟云学术

Ensemble averaging using remote sensing data to model spatiotemporal PM10 concentrations in sparsely monitored South Africa

Published:2022-10 Issue: Volume:310 Page:119883
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Arowosegbe Oluwaseyi Olalekan,Röösli Martin^ORCID,Künzli Nino,Saucy Apolline,Adebayo-Ojo Temitope C.,Schwartz Joel,Kebalepile Moses^ORCID,Jeebhay Mohamed Fareed,Dalvie Mohamed Aqiel^ORCID,de Hoogh Kees^ORCID

Funder

Staatssekretariat für Bildung, Forschung und Innovation

National Research Foundation

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference53 articles.

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4. Spatial and temporal variations in PM10 concentrations between 2010–2017 in South Africa;Arowosegbe;Int. J. Environ. Res. Publ. Health,2021

5. Comparing methods to impute missing daily ground-level PM10 concentrations between 2010–2017 in South Africa;Arowosegbe;Int. J. Environ. Res. Publ. Health,2021

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