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Journal Abstract Search

114 related items for PubMed ID: 38688385

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  • 7. Spatiotemporal Heterogeneity and the Key Influencing Factors of PM2.5 and PM10 in Heilongjiang, China from 2014 to 2018.
    Fu L, Wang Q, Li J, Jin H, Zhen Z, Wei Q.
    Int J Environ Res Public Health; 2022 Sep 15; 19(18):. PubMed ID: 36141911
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  • 9. [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 15; 34(3):817-25. PubMed ID: 23745382
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  • 10. A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information.
    Chen G, Li S, Knibbs LD, Hamm NAS, Cao W, Li T, Guo J, Ren H, Abramson MJ, Guo Y.
    Sci Total Environ; 2018 Sep 15; 636():52-60. PubMed ID: 29702402
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  • 11. Predicting ground-level PM2.5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach.
    Li X, Zhang X.
    Environ Pollut; 2019 Jun 15; 249():735-749. PubMed ID: 30933771
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  • 12. 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 15; 239():124678. PubMed ID: 31494323
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  • 13. The varying driving forces of PM2.5 concentrations in Chinese cities: Insights from a geographically and temporally weighted regression model.
    Liu Q, Wu R, Zhang W, Li W, Wang S.
    Environ Int; 2020 Dec 15; 145():106168. PubMed ID: 33049548
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  • 14. [One-year Simulation of Air Pollution in Central China, Characteristics, Distribution, Inner Region Cross-transmission, and Pathway Research in 18 Cities].
    Liu GJ, Su FC, Xu QX, Zhang RQ, Wang K.
    Huan Jing Ke Xue; 2022 Aug 08; 43(8):3953-3965. PubMed ID: 35971694
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  • 15. 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 08; 23(9):8327-38. PubMed ID: 26780051
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  • 17. Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing.
    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 08; 221():94-104. PubMed ID: 27889085
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  • 18. Predicting monthly high-resolution PM2.5 concentrations with random forest model in the North China Plain.
    Huang K, Xiao Q, Meng X, Geng G, Wang Y, Lyapustin A, Gu D, Liu Y.
    Environ Pollut; 2018 Nov 08; 242(Pt A):675-683. PubMed ID: 30025341
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  • 19. 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
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  • 20. The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data.
    Guo L, Luo J, Yuan M, Huang Y, Shen H, Li T.
    Sci Total Environ; 2019 Apr 01; 659():1585-1596. PubMed ID: 31096368
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