BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

368 related articles for article (PubMed ID: 27889085)

  • 1. Impact of diurnal variability and meteorological factors on the PM
    Guo J; Xia F; Zhang Y; Liu H; Li J; Lou M; He J; Yan Y; Wang F; Min M; Zhai P
    Environ Pollut; 2017 Feb; 221():94-104. PubMed ID: 27889085
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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;
    Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Satellite-based estimation of hourly PM
    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
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The relationships between surface-column aerosol concentrations and meteorological factors observed at major cities in the Yangtze River Delta, China.
    Ding H; Kumar KR; Boiyo R; Zhao T
    Environ Sci Pollut Res Int; 2019 Dec; 26(36):36568-36588. PubMed ID: 31728952
    [TBL] [Abstract][Full Text] [Related]  

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

  • 6. The relationships between PM
    Yang Q; Yuan Q; Yue L; Li T; Shen H; Zhang L
    Environ Pollut; 2019 May; 248():526-535. PubMed ID: 30831349
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Estimation of PM2.5 over eastern China from MODIS aerosol optical depth using the back propagation neural network].
    Guo JP; Wu YR; Zhang XY; Li XW
    Huan Jing Ke Xue; 2013 Mar; 34(3):817-25. PubMed ID: 23745382
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting ground-level PM
    Li X; Zhang X
    Environ Pollut; 2019 Jun; 249():735-749. PubMed ID: 30933771
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimating PM
    Yang L; Xu H; Yu S
    J Environ Manage; 2020 Oct; 272():111061. PubMed ID: 32669259
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessment of the relationship between satellite AOD and ground PM₁₀ measurement data considering synoptic meteorological patterns and Lidar data.
    Zeeshan M; Kim Oanh NT
    Sci Total Environ; 2014 Mar; 473-474():609-18. PubMed ID: 24394370
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 505():1156-65. PubMed ID: 25466686
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 532():195-207. PubMed ID: 26071961
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimating spatiotemporal distribution of PM
    Chen G; Knibbs LD; Zhang W; Li S; Cao W; Guo J; Ren H; Wang B; Wang H; Williams G; Hamm NAS; Guo Y
    Environ Pollut; 2018 Feb; 233():1086-1094. PubMed ID: 29033176
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Contrasting seasonal pattern between ground-based PM
    Luong ND; Hieu BT; Hiep NH
    Environ Sci Pollut Res Int; 2022 Jun; 29(28):41971-41982. PubMed ID: 34532804
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and validation of improved PM
    Al-Hamdan M; Crosson W; Burrows E; Coffield S; Crane B; Barik M
    Environ Monit Assess; 2019 Jun; 191(Suppl 2):328. PubMed ID: 31254078
    [TBL] [Abstract][Full Text] [Related]  

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

  • 17. Spatiotemporal continuous estimates of PM
    Xue T; Zheng Y; Tong D; Zheng B; Li X; Zhu T; Zhang Q
    Environ Int; 2019 Feb; 123():345-357. PubMed ID: 30562706
    [TBL] [Abstract][Full Text] [Related]  

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

  • 19. Spatial and Temporal Distributions of Air Pollutants and Size Distribution of Aerosols over Central and Eastern China.
    Wang H; Shen L; Zhu B; Kang H; Hou X; Miao Q; Yang Y; Shi S
    Arch Environ Contam Toxicol; 2017 May; 72(4):481-495. PubMed ID: 28434030
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2.5.
    Paciorek CJ; Liu Y; Moreno-Macias H; Kondragunta S
    Environ Sci Technol; 2008 Aug; 42(15):5800-6. PubMed ID: 18754512
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.