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Nationwide Machine Learning-Ensemble PM<sub>2.5</sub> Mapping Prediction and Forecasting Models in South Korea with High Spatiotemporal Resolution and Health Risk Estimation-Based Evaluations.

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第一作者: Seoyeong,Ahn
第一单位: Department of Information Convergence Engineering, Pusan National University, Busan 46241, South Korea.
作者: Seoyeong,Ahn [1] ; Ayoung,Kim [2] ; Yeonseung,Chung [3] ; Cinoo,Kang [2] ; Sooyoung,Kim [4] ; Dohoon,Kwon [2] ; Jiwoo,Park [1] ; Jieun,Oh [2] ; Jinah,Park [2] ; Jeongmin,Moon [2] ; Insung,Song [2] ; Jieun,Min [5] ; Hyung Joo,Lee [6] ; Ho,Kim [2] ; Whanhee,Lee [7]
作者单位: Department of Information Convergence Engineering, Pusan National University, Busan 46241, South Korea. [1] Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, South Korea. [2] Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34051, South Korea. [3] School of the Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, South Korea. [4] Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul 07804, South Korea. [5] Research and Management Center for Health Risk of Particulate Matter, Seoul 02841, South Korea.;Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea.;Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, South Korea. [6] School of the Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, South Korea.;Research and Management Center for Health Risk of Particulate Matter, Seoul 02841, South Korea. [7]
DOI 10.1021/envhealth.4c00201
PMID 40837693
发布时间 2025-09-14
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Environment & health (Washington, D.C.)

Environment & health (Washington, D.C.)

2025年3卷8期

878-887页

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