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Journal Abstract Search

166 related items for PubMed ID: 27941628

  • 1. Ground Level PM2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO₂ and Enhanced Vegetation Index (EVI).
    Zhang T, Gong W, Wang W, Ji Y, Zhu Z, Huang Y.
    Int J Environ Res Public Health; 2016 Dec 07; 13(12):. PubMed ID: 27941628
    [Abstract] [Full Text] [Related]

  • 2. Real-Time Estimation of Satellite-Derived PM2.5 Based on a Semi-Physical Geographically Weighted Regression Model.
    Zhang T, Liu G, Zhu Z, Gong W, Ji Y, Huang Y.
    Int J Environ Res Public Health; 2016 Sep 30; 13(10):. PubMed ID: 27706054
    [Abstract] [Full Text] [Related]

  • 3. Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD.
    You W, Zang Z, Zhang L, Li Y, Wang W.
    Environ Sci Pollut Res Int; 2016 May 30; 23(9):8327-38. PubMed ID: 26780051
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  • 4. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
    Paciorek CJ, Liu Y, HEI Health Review Committee.
    Res Rep Health Eff Inst; 2012 May 30; (167):5-83; discussion 85-91. PubMed ID: 22838153
    [Abstract] [Full Text] [Related]

  • 5. Satellite-based high-resolution PM2.5 estimation over the Beijing-Tianjin-Hebei region of China using an improved geographically and temporally weighted regression model.
    He Q, Huang B.
    Environ Pollut; 2018 May 30; 236():1027-1037. PubMed ID: 29455919
    [Abstract] [Full Text] [Related]

  • 6. Spatial analysis of MODIS aerosol optical depth, PM2.5, and chronic coronary heart disease.
    Hu Z.
    Int J Health Geogr; 2009 May 12; 8():27. PubMed ID: 19435514
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  • 8. Estimating ground-level PM2.5 in China using satellite remote sensing.
    Ma Z, Hu X, Huang L, Bi J, Liu Y.
    Environ Sci Technol; 2014 Jul 01; 48(13):7436-44. PubMed ID: 24901806
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  • 11. The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations.
    Yang Q, Yuan Q, Yue L, Li T, Shen H, Zhang L.
    Environ Pollut; 2019 May 01; 248():526-535. PubMed ID: 30831349
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  • 12. Estimating PM2.5 in Xi'an, China using aerosol optical depth: a comparison between the MODIS and MISR retrieval models.
    You W, Zang Z, Pan X, Zhang L, Chen D.
    Sci Total Environ; 2015 Feb 01; 505():1156-65. PubMed ID: 25466686
    [Abstract] [Full Text] [Related]

  • 13. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM2.5 concentrations in Taiwan from 2005 to 2015.
    Jung CR, Hwang BF, Chen WT.
    Environ Pollut; 2018 Jun 01; 237():1000-1010. PubMed ID: 29157969
    [Abstract] [Full Text] [Related]

  • 14. 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 01; 239():124678. PubMed ID: 31494323
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  • 16. Spatiotemporal trends of PM2.5 concentrations in central China from 2003 to 2018 based on MAIAC-derived high-resolution data.
    He Q, Gu Y, Zhang M.
    Environ Int; 2020 Apr 01; 137():105536. PubMed ID: 32036122
    [Abstract] [Full Text] [Related]

  • 17. Estimation of ground-level PM2.5 concentration using MODIS AOD and corrected regression model over Beijing, China.
    Xu X, Zhang C.
    PLoS One; 2020 Apr 01; 15(10):e0240430. PubMed ID: 33048987
    [Abstract] [Full Text] [Related]

  • 18. A novel calibration approach using satellite and visibility observations to estimate fine particulate matter exposures in Southwest Asia and Afghanistan.
    Masri S, Garshick E, Coull BA, Koutrakis P.
    J Air Waste Manag Assoc; 2017 Jan 01; 67(1):86-95. PubMed ID: 27649895
    [Abstract] [Full Text] [Related]

  • 19. Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018.
    Wei Q, Zhang L, Duan W, Zhen Z.
    Int J Environ Res Public Health; 2019 Dec 14; 16(24):. PubMed ID: 31847317
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  • 20. Impact assessment of meteorological and environmental parameters on PM2.5 concentrations using remote sensing data and GWR analysis (case study of Tehran).
    Hajiloo F, Hamzeh S, Gheysari M.
    Environ Sci Pollut Res Int; 2019 Aug 14; 26(24):24331-24345. PubMed ID: 29497943
    [Abstract] [Full Text] [Related]

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