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Impact of Chinese air pollutants on a record-breaking PMs episode in the Republic of Korea for 11–15 January 2019

Atmospheric environment (1994), 2020-02, Vol.223, p.117262, Article 117262

2020

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Impacts of ambient air pollution on glucose metabolism in Korean adults: a Korea National Health and Nutrition Examination Survey study

Environmental health, 2020-06, Vol.19 (1), p.1-70, Article 70

2020

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Air Quality Forecasting Using Big Data and Machine Learning Algorithms

Asia-Pacific Journal of Atmospheric Sciences, 2023, 59(5), , pp.529-530

2023

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Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data

Geoscientific Model Development, 2022-05, Vol.15 (9), p.3797-3813

2022

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A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning

Asia-Pacific Journal of Atmospheric Sciences, 2023, 59(5), , pp.577-595

2023

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Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data

Epidemiology and health, 2022-09, Vol.44, p.e2022071

2022

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Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea

Atmospheric environment (1994), 2021-01, Vol.244, p.117904, Article 117904

2021

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Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution

Epidemiology and Health, 2021, 43(0), , pp.1-7

2021

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An analysis of chemical and meteorological characteristics of haze events in the Seoul metropolitan area during January 12–18, 2013

Atmospheric environment (1994), 2018-04, Vol.178, p.87-100

2018

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Improvement of PM10 prediction in East Asia using inverse modeling

Atmospheric environment (1994), 2015-04, Vol.106, p.318-328

2015

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Conference summary: Air Quality Modeling in Asia 2011

Atmospheric environment (1994), 2012-10, Vol.58, p.1-1

Koo, Youn-Seo

2012

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The simulation of aerosol transport over East Asia region

Atmospheric research, 2008-11, Vol.90 (2), p.264-271

2008

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The emission characteristics and the related malodor intensities of gaseous reduced sulfur compounds (RSC) in a large industrial complex

Atmospheric environment (1994), 2006-08, Vol.40 (24), p.4478-4490

2006

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Ambient air quality and subjective stress level using Community Health Survey data in Korea

Epidemiology and Health, 2018, 40(0), , pp.1-9

2018

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An on-line analysis of reduced sulfur gases in the ambient air surrounding a large industrial complex

Atmospheric environment (1994), 2007-06, Vol.41 (18), p.3829-3840

2007

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Reduced sulfur compounds in ambient air surrounding an industrial region in Korea

Environmental monitoring and assessment, 2009, Vol.148 (1-4), p.109-125

2009

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Corrigendum to: “The emission characteristics and the related malodour intensities of gaseous reduced sulfur compounds (RSC) in a large industrial complex”: [Atmos. Environ. 40 (2006) 4478–4490]

Atmospheric environment (1994), 2007-06, Vol.41 (17), p.3728-3728

2007

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Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution

Epidemiology and health, 2021-01, Vol.43, p.1-7

2021

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Flow and transport modeling in the sea-breeze part II: Flow model application and pollutant transport

Boundary-layer meteorology, 1995-08, Vol.75 (3), p.209-234

1995

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A Development of PM Concentration Reanalysis Method using CMAQ with Surface Data Assimilation and MAIAC AOD in Korea

Journal of Korean Society for Atmospheric Environment, 2020-08, Vol.36 (4), p.558-573

2020

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Ambient air quality and subjective stress level using Community Health Survey data in Korea

Epidemiology and health, 2018-01, Vol.40, p.1-9

2018

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Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10

Atmospheric environment (1994), 2012-10, Vol.58, p.56-69

2012

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Development of a deep neural network for predicting 6 h average PM.sub.2.5 concentrations up to 2 subsequent days using various training data

Geoscientific model development, 2022-05, Vol.15 (9), p.3797

2022

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Development of a deep neural network for predicting 6 h average PM 2.5 concentrations up to 2 subsequent days using various training data

Geoscientific model development, 2022-05, Vol.15 (9), p.3797-3813

2022

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Analysis of Domestic and Foreign Contributions using DDM in CMAQ during Particulate Matter Episode Period of February 2014 in Seoul

Journal of Korean Society for Atmospheric Environment, 2016-02, Vol.32 (1), p.82-99

2016

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Impact of Chinese air pollutants on a record-breaking PMs episode in the Republic of Korea for 11–15 January 2019

Impacts of ambient air pollution on glucose metabolism in Korean adults: a Korea National Health and Nutrition Examination Survey study

Air Quality Forecasting Using Big Data and Machine Learning Algorithms

Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data

A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning

Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data

Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea

Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution

An analysis of chemical and meteorological characteristics of haze events in the Seoul metropolitan area during January 12–18, 2013

Improvement of PM10 prediction in East Asia using inverse modeling

Conference summary: Air Quality Modeling in Asia 2011

The simulation of aerosol transport over East Asia region

The emission characteristics and the related malodor intensities of gaseous reduced sulfur compounds (RSC) in a large industrial complex

Ambient air quality and subjective stress level using Community Health Survey data in Korea

An on-line analysis of reduced sulfur gases in the ambient air surrounding a large industrial complex

Reduced sulfur compounds in ambient air surrounding an industrial region in Korea

Corrigendum to: “The emission characteristics and the related malodour intensities of gaseous reduced sulfur compounds (RSC) in a large industrial complex”: [Atmos. Environ. 40 (2006) 4478–4490]

Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution

Flow and transport modeling in the sea-breeze part II: Flow model application and pollutant transport

A Development of PM Concentration Reanalysis Method using CMAQ with Surface Data Assimilation and MAIAC AOD in Korea

Ambient air quality and subjective stress level using Community Health Survey data in Korea

Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10

Development of a deep neural network for predicting 6 h average PM.sub.2.5 concentrations up to 2 subsequent days using various training data

Development of a deep neural network for predicting 6 h average PM 2.5 concentrations up to 2 subsequent days using various training data

Analysis of Domestic and Foreign Contributions using DDM in CMAQ during Particulate Matter Episode Period of February 2014 in Seoul

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