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Computation of geographic variables for air pollution prediction models in South Korea |
Youngseob Eum, Insang Song, Hwan-Cheol Kim, Jong-Han Leem, Sun-Young Kim |
Environ Anal Health Toxicol. 2015;30:e2015010 Published online 2015 October 23 DOI: https://doi.org/10.5620/eht.e2015010 |
Computation of geographic variables for air pollution prediction models in South Korea Deep Learning Models for Air Pollution Forecasting in Seoul South Korea 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM). 2021; Smooth backfitting for errors-in-variables varying coefficient regression models Erratum to "Source apportionment of PM10 and PM2.5 air pollution, and possible impacts of study characteristics in South Korea" [Environ. Pollut. 240 (2018) 963–972] The effects of transboundary air pollution from China on ambient air quality in South Korea Air Pollution Modeling and Prediction Air Pollution Prediction Using an Ensemble of Dynamic Transfer Models for Multivariate Time Series Air pollution dispersion models Erratum: Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies National-scale exposure prediction for long-term concentrations of particulate matter and nitrogen dioxide in South Korea |
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