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Journal Abstract Search

284 related items for PubMed ID: 30025341

  • 21. Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004-2013.
    Ma Z, Hu X, Sayer AM, Levy R, Zhang Q, Xue Y, Tong S, Bi J, Huang L, Liu Y.
    Environ Health Perspect; 2016 Feb; 124(2):184-92. PubMed ID: 26220256
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  • 22. Satellite-based estimation of hourly PM2.5 levels during heavy winter pollution episodes in the Yangtze River Delta, China.
    She Q, Choi M, Belle JH, Xiao Q, Bi J, Huang K, Meng X, Geng G, Kim J, He K, Liu M, Liu Y.
    Chemosphere; 2020 Jan; 239():124678. PubMed ID: 31494323
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  • 23. Estimation of ambient PM2.5 in Iraq and Kuwait from 2001 to 2018 using machine learning and remote sensing.
    Li J, Garshick E, Hart JE, Li L, Shi L, Al-Hemoud A, Huang S, Koutrakis P.
    Environ Int; 2021 Jun; 151():106445. PubMed ID: 33618328
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  • 24. The 17-y spatiotemporal trend of PM2.5 and its mortality burden in China.
    Liang F, Xiao Q, Huang K, Yang X, Liu F, Li J, Lu X, Liu Y, Gu D.
    Proc Natl Acad Sci U S A; 2020 Oct 13; 117(41):25601-25608. PubMed ID: 32958653
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  • 25. Estimating monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approach.
    Chen CC, Wang YR, Yeh HY, Lin TH, Huang CS, Wu CF.
    Environ Pollut; 2021 Dec 15; 291():118159. PubMed ID: 34543952
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  • 27. Construction of a virtual PM2.5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient Boosting model.
    Gui K, Che H, Zeng Z, Wang Y, Zhai S, Wang Z, Luo M, Zhang L, Liao T, Zhao H, Li L, Zheng Y, Zhang X.
    Environ Int; 2020 Aug 15; 141():105801. PubMed ID: 32480141
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  • 30. A gap-filling hybrid approach for hourly PM2.5 prediction at high spatial resolution from multi-sourced AOD data.
    Pu Q, Yoo EH.
    Environ Pollut; 2022 Dec 15; 315():120419. PubMed ID: 36272606
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  • 36. Unmasking the sky: high-resolution PM2.5 prediction in Texas using machine learning techniques.
    Zhang K, Lin J, Li Y, Sun Y, Tong W, Li F, Chien LC, Yang Y, Su WC, Tian H, Fu P, Qiao F, Romeiko XX, Lin S, Luo S, Craft E.
    J Expo Sci Environ Epidemiol; 2024 Sep 15; 34(5):814-820. PubMed ID: 38561475
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