Spatio-Temporal Characteristics of PM(2.5) Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016–2021

Fine particulate matter (PM(2.5)) has a continuing impact on the environment, climate change and human health. In order to improve the accuracy of PM(2.5) estimation and obtain a continuous spatial distribution of PM(2.5) concentration, this paper proposes a LUR-GBM model based on land-use regressio...

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Detalles Bibliográficos
Autores principales: Dai, Hongbin, Huang, Guangqiu, Wang, Jingjing, Zeng, Huibin, Zhou, Fangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141263/
https://www.ncbi.nlm.nih.gov/pubmed/35627828
http://dx.doi.org/10.3390/ijerph19106292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141263/
https://www.ncbi.nlm.nih.gov/pubmed/35627828
http://dx.doi.org/10.3390/ijerph19106292

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