Zobrazeno 1 - 10 of 54 pro vyhledávání: '"Youn-Seo Koo"'
1
Akademický článek
Integrated dataset of the Korean Genome and Epidemiology Study cohort with estimated air pollution data
Autor: Hae Dong Woo, Dae Sub Song, Sun Ho Choi, Jae Kyung Park, Kyoungho Lee, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Hyun-Young Park
Publikováno v: Epidemiology and Health, Vol 44 (2022)
Public concern about the adverse health effects of air pollution has grown rapidly in Korea, and there has been increasing demand for research on ways to minimize the health effects of air pollution. Integrating large epidemiological data and air pol
Externí odkaz: https://doaj.org/article/20cd5cb24fe447a793afaebc57c4e2bb
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2
Akademický článek
Impacts of ambient air pollution on glucose metabolism in Korean adults: a Korea National Health and Nutrition Examination Survey study
Autor: Myung-Jae Hwang, Jong-Hun Kim, Youn-Seo Koo, Hui-Young Yun, Hae-Kwan Cheong
Publikováno v: Environmental Health, Vol 19, Iss 1, Pp 1-11 (2020)
Abstract Background Exposure to air pollution was reported to affect glucose metabolism, increasing the risk of diabetes mellitus. We conducted an epidemiological study on glucose metabolism and air pollution by exploring the levels of fasting blood
Externí odkaz: https://doaj.org/article/ede3099bcedf453a9b8e8c320eaf3266
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3
Akademický článek
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
Autor: Myung-Jae Hwang, Jisun Sung, Miryoung Yoon, Jong-Hun Kim, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Kyungwon Oh, Sungha Yun, Hae-Kwan Cheong
Publikováno v: Epidemiology and Health, Vol 43 (2021)
To provide a nationwide representative dataset for the study on health impact of air pollution, we combined the data from the Korea National Health and Nutrition Examination Survey with the daily air quality and weather data by matching the date of e
Externí odkaz: https://doaj.org/article/719bc2b06e17427ea2e880df77da8eeb
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4
Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data
Autor: Jeong-Beom Lee, Jae-Bum Lee, Youn-Seo Koo, Hee-Yong Kwon, Min-Hyeok Choi, Hyun-Ju Park, Dae-Gyun Lee
Publikováno v: Geoscientific Model Development. 15:3797-3813
Despite recent progress of numerical air quality models, accurate prediction of fine particulate matter (PM2.5) is still challenging because of uncertainties in physical and chemical parameterizations, meteorological data, and emission inventory data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24118efd3e947e773e66927fc17cf812
https://doi.org/10.5194/gmd-15-3797-2022
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7
Development of a deep neural network for predicting 6-hour average PM2.5 concentrations up to two subsequent days using various training data
Autor: Hee-Yong Kwon, Jae-Bum Lee, Jeong-Beom Lee, Hyun-Ju Park, Min-Hyeok Choi, Youn-Seo Koo, Dae-Gyun Lee
This study aims to develop a deep neural network (DNN) model as an artificial neural network (ANN) for the prediction of 6-hour average fine particulate matter (PM2.5) concentrations for a three-day period—the day of prediction (D+0), one day after
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf6d2053f08dd5e1c9ed2d906e224678
https://doi.org/10.5194/gmd-2021-356
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9
황사배출량을 적용한 동아시아 미세먼지 예보 개선 연구
Autor: Younghee Lee, Jisu Myoung, Jae-Bum Lee, Taehee Kim, Dae-Ryun Choi, Hui-Young Yun, Lim-Seok Chang, Youn-Seo Koo
Publikováno v: Journal of the Korean Society of Urban Environment. 18:531-546
Air quality forecasting system with Asian dust emissions was developed in East Asia, and PM10 forecasting performance of chemical transport model with Asian dust emissions was validated and evaluated. The chemical transport model (CTM) with Asian dus
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba4dc6a9226230a1e20d90cdcdbfac35
https://doi.org/10.33768/ksue.2018.18.4.531
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