A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions

With the development of economy, the problem of air pollution has become increasingly serious. As an important detection index of air pollutants, how to accurately and effectively predict PM2.5 concentration is a significant issue related to human health and development. In this paper, a new hybrid...

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Vydáno v:	Chemosphere (Oxford) Ročník 307; číslo Pt 3; s. 135798
Hlavní autoři:	Yang, Hong, Liu, Zehang, Li, Guohui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.11.2022
Témata:	air air pollution atmospheric pressure China COOT optimization Algorithm human health hybrids JAYA optimization Algorithm Least square support vector machine PM2.5 concentration prediction prediction relative humidity Secondary decomposition solar radiation support vector machines temperature wind speed China PM2.5 concentration prediction Least square support vector machine COOT optimization Algorithm JAYA optimization Algorithm Secondary decomposition
ISSN:	0045-6535, 1879-1298, 1879-1298
On-line přístup:	Získat plný text
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