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Journal Abstract Search

210 related items for PubMed ID: 37210817

  • 21. Full-coverage spatiotemporal mapping of ambient PM2.5 and PM10 over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositions.
    Wang Y, Yuan Q, Li T, Tan S, Zhang L.
    Sci Total Environ; 2021 Nov 01; 793():148535. PubMed ID: 34174613
    [Abstract] [Full Text] [Related]

  • 22. 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 01; 151():106445. PubMed ID: 33618328
    [Abstract] [Full Text] [Related]

  • 23. A Bayesian ensemble approach to combine PM2.5 estimates from statistical models using satellite imagery and numerical model simulation.
    Murray NL, Holmes HA, Liu Y, Chang HH.
    Environ Res; 2019 Nov 01; 178():108601. PubMed ID: 31465992
    [Abstract] [Full Text] [Related]

  • 24. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion.
    Geng G, Xiao Q, Liu S, Liu X, Cheng J, Zheng Y, Xue T, Tong D, Zheng B, Peng Y, Huang X, He K, Zhang Q.
    Environ Sci Technol; 2021 Sep 07; 55(17):12106-12115. PubMed ID: 34407614
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  • 25. Satellite-based ground PM2.5 estimation using a gradient boosting decision tree.
    Zhang T, He W, Zheng H, Cui Y, Song H, Fu S.
    Chemosphere; 2021 Apr 07; 268():128801. PubMed ID: 33139054
    [Abstract] [Full Text] [Related]

  • 26. Ground PM2.5 prediction using imputed MAIAC AOD with uncertainty quantification.
    Pu Q, Yoo EH.
    Environ Pollut; 2021 Apr 01; 274():116574. PubMed ID: 33529896
    [Abstract] [Full Text] [Related]

  • 27. Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II.
    Choi H, Park S, Kang Y, Im J, Song S.
    Environ Pollut; 2023 Apr 15; 323():121169. PubMed ID: 36773685
    [Abstract] [Full Text] [Related]

  • 28. An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data.
    Xiao Q, Chang HH, Geng G, Liu Y.
    Environ Sci Technol; 2018 Nov 20; 52(22):13260-13269. PubMed ID: 30354085
    [Abstract] [Full Text] [Related]

  • 29. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke.
    Li L, Girguis M, Lurmann F, Pavlovic N, McClure C, Franklin M, Wu J, Oman LD, Breton C, Gilliland F, Habre R.
    Environ Int; 2020 Dec 20; 145():106143. PubMed ID: 32980736
    [Abstract] [Full Text] [Related]

  • 30. Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach.
    Chen G, Wang Y, Li S, Cao W, Ren H, Knibbs LD, Abramson MJ, Guo Y.
    Environ Pollut; 2018 Nov 20; 242(Pt A):605-613. PubMed ID: 30014938
    [Abstract] [Full Text] [Related]

  • 31. A daily and complete PM2.5 dataset derived from space observations for Vietnam from 2012 to 2020.
    Ngo TX, Pham HV, Phan HDT, Nguyen ATN, To HT, Nguyen TTN.
    Sci Total Environ; 2023 Jan 20; 857(Pt 3):159537. PubMed ID: 36270373
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  • 33. Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables.
    Mhawish A, Banerjee T, Sorek-Hamer M, Bilal M, Lyapustin AI, Chatfield R, Broday DM.
    Environ Sci Technol; 2020 Jul 07; 54(13):7891-7900. PubMed ID: 32490674
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  • 36. Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China.
    Song Z, Chen B, Huang J.
    Environ Pollut; 2022 Mar 15; 297():118826. PubMed ID: 35016979
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  • 38. 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
    [Abstract] [Full Text] [Related]

  • 39. 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 13; 124(2):184-92. PubMed ID: 26220256
    [Abstract] [Full Text] [Related]

  • 40. Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model.
    Stafoggia M, Bellander T, Bucci S, Davoli M, de Hoogh K, De' Donato F, Gariazzo C, Lyapustin A, Michelozzi P, Renzi M, Scortichini M, Shtein A, Viegi G, Kloog I, Schwartz J.
    Environ Int; 2019 Mar 13; 124():170-179. PubMed ID: 30654325
    [Abstract] [Full Text] [Related]

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