Performance Evaluation of PM_2.5 Forecasting Using SARIMAX and LSTM in the Korean Peninsula

Air pollution, particularly fine particulate matter (PM_2.5), poses significant environmental and public health challenges in South Korea. The National Institute of Environmental Research (NIER) currently relies on numerical models such as the Community Multiscale Air Quality (...

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Bibliographic Details

Published in:	Atmosphere
Main Authors:	Chae-Yeon Lee, Ju-Yong Lee, Seung-Hee Han, Jin-Goo Kang, Jeong-Beom Lee, Dae-Ryun Choi
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	PM<sub>2.5</sub> forecasting LSTM SARIMAX air quality prediction deep learning statistical modeling
Online Access:	https://www.mdpi.com/2073-4433/16/5/524