BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

194 related articles for article (PubMed ID: 35129746)

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

  • 4. [Aerosol Optical Characteristics with Ground-based Measurements via Sun Photometer and Its Relationship with PM Particle Concentration in Chang'an].
    Zheng YR; Wang XH; Cui SY; Feng ZH; Zhang X; Liu K
    Huan Jing Ke Xue; 2022 Jul; 43(7):3494-3507. PubMed ID: 35791534
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The empirical correlations between PM2.5, PM10 and AOD in the Beijing metropolitan region and the PM2.5, PM10 distributions retrieved by MODIS.
    Kong L; Xin J; Zhang W; Wang Y
    Environ Pollut; 2016 Sep; 216():350-360. PubMed ID: 27294786
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Analysis of spatial and seasonal distributions of MODIS aerosol optical properties and ground-based measurements of mass concentrations in the Yellow Sea region in 2009.
    Kim HS; Chung YS; Lee SG
    Environ Monit Assess; 2013 Jan; 185(1):369-82. PubMed ID: 22362557
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Comparison of GOES and MODIS aerosol optical depth (AOD) to aerosol robotic network (AERONET) AOD and IMPROVE PM2.5 mass at Bondville, Illinois.
    Green M; Kondragunta S; Ciren P; Xu C
    J Air Waste Manag Assoc; 2009 Sep; 59(9):1082-91. PubMed ID: 19785275
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

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

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

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

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

  • 19. [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]  

  • 20. Spatiotemporal analysis of ground and satellite-based aerosol for air quality assessment in the Southeast Asia region.
    Nguyen TTN; Pham HV; Lasko K; Bui MT; Laffly D; Jourdan A; Bui HQ
    Environ Pollut; 2019 Dec; 255(Pt 1):113106. PubMed ID: 31541826
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.