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Page 1
Global PM2.5 Prediction and Associated Mortality to 2100 under Different Climate Change Scenarios.
Environ Sci Technol. 2023 Jul 11;57(27):10039-10052. doi: 10.1021/acs.est.3c03804. Epub 2023 Jun 28.
Environ Sci Technol. 2023.
PMID: 37377020
Development of an integrated machine-learning and data assimilation framework for NOx emission inversion.
Chen Y, Fung JCH, Yuan D, Chen W, Fung T, Lu X.
Chen Y, et al. Among authors: yuan d.
Sci Total Environ. 2023 May 1;871:161951. doi: 10.1016/j.scitotenv.2023.161951. Epub 2023 Feb 1.
Sci Total Environ. 2023.
PMID: 36737010
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Estimation and variation analysis of secondary inorganic aerosols across the Greater Bay Area in 2005 and 2015.
Chen Y, Yuan D, Chen W, Hu M, Fung JCH, Sun H, Lu X.
Chen Y, et al. Among authors: yuan d.
Chemosphere. 2022 Apr;292:133393. doi: 10.1016/j.chemosphere.2021.133393. Epub 2021 Dec 21.
Chemosphere. 2022.
PMID: 34942210
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Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden.
Lu X, Yuan D, Chen Y, Fung JCH.
Lu X, et al. Among authors: yuan d.
Environ Pollut. 2021 Feb 1;270:116003. doi: 10.1016/j.envpol.2020.116003. Epub 2020 Dec 1.
Environ Pollut. 2021.
PMID: 33340901
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Estimations of Long-Term nss-SO42- and NO3- Wet Depositions over East Asia by Use of Ensemble Machine-Learning Method.
Lu X, Yuan D, Chen Y, Fung JCH, Li W, Lau AKH.
Lu X, et al. Among authors: yuan d.
Environ Sci Technol. 2020 Sep 15;54(18):11118-11126. doi: 10.1021/acs.est.0c01068. Epub 2020 Sep 1.
Environ Sci Technol. 2020.
PMID: 32808770
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