Prediction of PM_2.5 Concentration Using Spatiotemporal Data with Machine Learning Models

Among the critical global crises curbing world development and sustainability, air quality degradation has been a long-lasting and increasingly urgent one and it has been sufficiently proven to pose severe threats to human health and social welfare. A higher level of model prediction accuracy can pl...

Full description

Bibliographic Details

Published in:	Atmosphere
Main Authors:	Xin Ma, Tengfei Chen, Rubing Ge, Fan Xv, Caocao Cui, Junpeng Li
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	data mining extremely randomized trees model PM<sub>2.5</sub> prediction random forest model ridge regression model support vector machine model
Online Access:	https://www.mdpi.com/2073-4433/14/10/1517