Spatiotemporal modeling of PM10 via committee method with in-situ and large scale information: Coupling of machine learning and statistical methods

Autor:	Yasaman Mohammadi, Omid Zandi, Mohsen Nasseri, Yousef Rashidi
Rok vydání:	2023
Předmět:	Urban Studies Atmospheric Science Geography Planning and Development Environmental Science (miscellaneous)
Zdroj:	Urban Climate. 49:101494
ISSN:	2212-0955
DOI:	10.1016/j.uclim.2023.101494
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0890cc1d00144891a3c63f622eb2baf7 https://doi.org/10.1016/j.uclim.2023.101494 Zobrazit plný text záznamu Full Text from ScienceDirect