BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

507 related articles for article (PubMed ID: 23745382)

  • 1. [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]  

  • 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. 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]  

  • 4. 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]  

  • 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. Satellite-based high-resolution PM
    He Q; Huang B
    Environ Pollut; 2018 May; 236():1027-1037. PubMed ID: 29455919
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 23(9):8327-38. PubMed ID: 26780051
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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; 13(2):180. PubMed ID: 26840329
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of ground based indices (API and AQI) with satellite based aerosol products.
    Zheng S; Cao CX; Singh RP
    Sci Total Environ; 2014 Aug; 488-489():398-412. PubMed ID: 24412562
    [TBL] [Abstract][Full Text] [Related]  

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

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 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. The Potential Impact of Satellite-Retrieved Cloud Parameters on Ground-Level PM
    Belle JH; Chang HH; Wang Y; Hu X; Lyapustin A; Liu Y
    Int J Environ Res Public Health; 2017 Oct; 14(10):. PubMed ID: 29057838
    [TBL] [Abstract][Full Text] [Related]  

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

  • 19. Spatial scales of pollution from variable resolution satellite imaging.
    Chudnovsky AA; Kostinski A; Lyapustin A; Koutrakis P
    Environ Pollut; 2013 Jan; 172():131-8. PubMed ID: 23026774
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011.
    Tang Y; Chai T; Pan L; Lee P; Tong D; Kim HC; Chen W
    J Air Waste Manag Assoc; 2015 Oct; 65(10):1206-16. PubMed ID: 26091206
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.