Land-Use Regression Modeling to Estimate NO<sub>2</sub> and VOC Concentrations in Pohang City, South Korea

Land-Use Regression Modeling to Estimate NO<sub>2</sub> and VOC Concentrations in Pohang City, South Korea

Land-use regression (LUR) has emerged as a promising technique for air pollution modeling to obtain the spatial distribution of air pollutants for epidemiological studies. LUR uses traffic, geographic, and monitoring data to develop regression models and then predict the concentration of air polluta...

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Bibliographic Details
Main Authors:	Hee-Jin Choi, Young-Man Roh, Young-Wook Lim, Yong-Jin Lee, Ki-Youn Kim
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Atmosphere
Subjects:	land-use regression (LUR) air pollution nitrogen dioxide (NO<sub>2</sub>) volatile organic compounds (VOCs) geological information system (GIS) BTX (benzene, toluene and xylene)
Online Access:	https://www.mdpi.com/2073-4433/13/4/577

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