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Journal Abstract Search

114 related items for PubMed ID: 38688385

  • 21.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 22. 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]

  • 23. Application of satellite remote sensing data and random forest approach to estimate ground-level PM2.5 concentration in Northern region of Thailand.
    Wongnakae P, Chitchum P, Sripramong R, Phosri A.
    Environ Sci Pollut Res Int; 2023 Aug 30; 30(38):88905-88917. PubMed ID: 37442931
    [Abstract] [Full Text] [Related]

  • 24. How Did Distribution Patterns of Particulate Matter Air Pollution (PM2.5 and PM10) Change in China during the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level.
    Fan Z, Zhan Q, Yang C, Liu H, Zhan M.
    Int J Environ Res Public Health; 2020 Aug 28; 17(17):. PubMed ID: 32872261
    [Abstract] [Full Text] [Related]

  • 25. Ingestion of GNSS-Derived ZTD and PWV for Spatial Interpolation of PM2.5 Concentration in Central and Southern China.
    Wei P, Xie S, Huang L, Liu L.
    Int J Environ Res Public Health; 2021 Jul 27; 18(15):. PubMed ID: 34360223
    [Abstract] [Full Text] [Related]

  • 26. Comparison of Four Ground-Level PM2.5 Estimation Models Using PARASOL Aerosol Optical Depth Data from China.
    Guo H, Cheng T, Gu X, Chen H, Wang Y, Zheng F, Xiang K.
    Int J Environ Res Public Health; 2016 Jan 30; 13(2):180. PubMed ID: 26840329
    [Abstract] [Full Text] [Related]

  • 27. 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]

  • 28. 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
    [Abstract] [Full Text] [Related]

  • 29. Quantifying the Spatiotemporal Heterogeneity of PM2.5 Pollution and Its Determinants in 273 Cities in China.
    Yang L, Qin C, Li K, Deng C, Liu Y.
    Int J Environ Res Public Health; 2023 Jan 09; 20(2):. PubMed ID: 36673938
    [Abstract] [Full Text] [Related]

  • 30. [Remote Sensing Model for Estimating Atmospheric PM2.5 Concentration in the Guangdong-Hong Kong-Macao Greater Bay Area].
    Dai YY, Gong SQ, Zhang CJ, Min AL, Wang HJ.
    Huan Jing Ke Xue; 2024 Jan 08; 45(1):8-22. PubMed ID: 38216454
    [Abstract] [Full Text] [Related]

  • 31. Impacts of elevated-aerosol-layer and aerosol type on the correlation of AOD and particulate matter with ground-based and satellite measurements in Nanjing, southeast China.
    Han Y, Wu Y, Wang T, Zhuang B, Li S, Zhao K.
    Sci Total Environ; 2015 Nov 01; 532():195-207. PubMed ID: 26071961
    [Abstract] [Full Text] [Related]

  • 32. A nonparametric approach to filling gaps in satellite-retrieved aerosol optical depth for estimating ambient PM2.5 levels.
    Zhang R, Di B, Luo Y, Deng X, Grieneisen ML, Wang Z, Yao G, Zhan Y.
    Environ Pollut; 2018 Dec 01; 243(Pt B):998-1007. PubMed ID: 30248607
    [Abstract] [Full Text] [Related]

  • 33. PM2.5 Exposure and Health Risk Assessment Using Remote Sensing Data and GIS.
    Xu D, Lin W, Gao J, Jiang Y, Li L, Gao F.
    Int J Environ Res Public Health; 2022 May 18; 19(10):. PubMed ID: 35627689
    [Abstract] [Full Text] [Related]

  • 34. Exploring the relationships between ground-measured particulate matter and satellite-retrieved aerosol parameters in China.
    Yin S.
    Environ Sci Pollut Res Int; 2022 Jun 18; 29(29):44348-44363. PubMed ID: 35129746
    [Abstract] [Full Text] [Related]

  • 35. Spatio-Temporal Characteristics of PM2.5 Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016-2021.
    Dai H, Huang G, Wang J, Zeng H, Zhou F.
    Int J Environ Res Public Health; 2022 May 22; 19(10):. PubMed ID: 35627828
    [Abstract] [Full Text] [Related]

  • 36. Estimating PM2.5 concentrations in Yangtze River Delta region of China using random forest model and the Top-of-Atmosphere reflectance.
    Yang L, Xu H, Yu S.
    J Environ Manage; 2020 Oct 15; 272():111061. PubMed ID: 32669259
    [Abstract] [Full Text] [Related]

  • 37. An investigation of PM2.5 concentration changes in Mid-Eastern China before and after COVID-19 outbreak.
    Zhang Y, Wu W, Li Y, Li Y.
    Environ Int; 2023 May 15; 175():107941. PubMed ID: 37146469
    [Abstract] [Full Text] [Related]

  • 38. Spatial Equity of PM2.5 Pollution Exposures in High-Density Metropolitan Areas Based on Remote Sensing, LBS and GIS Data: A Case Study in Wuhan, China.
    Shan Z, Li H, Pan H, Yuan M, Xu S.
    Int J Environ Res Public Health; 2022 Oct 03; 19(19):. PubMed ID: 36231971
    [Abstract] [Full Text] [Related]

  • 39. Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique.
    Zhou C, Chen J, Wang S.
    Sci Total Environ; 2018 Apr 01; 619-620():436-445. PubMed ID: 29156264
    [Abstract] [Full Text] [Related]

  • 40. Particulate matter pollution and population exposure assessment over mainland China in 2010 with remote sensing.
    Yao L, Lu N.
    Int J Environ Res Public Health; 2014 May 14; 11(5):5241-50. PubMed ID: 24830453
    [Abstract] [Full Text] [Related]

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