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Journal Abstract Search

564 related items for PubMed ID: 29497943

  • 1. Impact assessment of meteorological and environmental parameters on PM2.5 concentrations using remote sensing data and GWR analysis (case study of Tehran).
    Hajiloo F, Hamzeh S, Gheysari M.
    Environ Sci Pollut Res Int; 2019 Aug; 26(24):24331-24345. PubMed ID: 29497943
    [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, HEI Health Review Committee.
    Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
    [Abstract] [Full Text] [Related]

  • 3. [Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing].
    Zhao CX, Wang YQ, Wang YJ, Zhang HL, Zhao BQ.
    Huan Jing Ke Xue; 2014 Feb; 35(2):418-27. PubMed ID: 24812928
    [Abstract] [Full Text] [Related]

  • 4. An exploration of meteorological effects on PM2.5 air quality in several provinces and cities in Vietnam.
    Nguyen GTH, La LT, Hoang-Cong H, Le AH.
    J Environ Sci (China); 2024 Nov; 145():139-151. PubMed ID: 38844315
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  • 5. The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations.
    Yang Q, Yuan Q, Li T, Shen H, Zhang L.
    Int J Environ Res Public Health; 2017 Dec 05; 14(12):. PubMed ID: 29206181
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  • 6. [Observation of atmospheric pollutants in the urban area of Beibei District, Chongqing].
    Xu P, Hao QJ, Ji DS, Zhang JK, Liu ZR, Hu B, Wang YS, Jiang CS.
    Huan Jing Ke Xue; 2014 Mar 05; 35(3):820-9. PubMed ID: 24881366
    [Abstract] [Full Text] [Related]

  • 7. [Response of Human Respiratory Height PM2.5 Variation Characteristics to Meteorological Factors During Winter Haze Days in Beijing].
    Zhang N, Xiong HG, Ge XX, Duan PC, Mao XR, Wang YL.
    Huan Jing Ke Xue; 2016 Jul 08; 37(7):2419-2427. PubMed ID: 29964446
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  • 8. Remote sensing estimation of regional PM2.5 based on GTWR model -A case study of southwest China.
    Liu L, Liu Y, Cheng F, Yu Y, Wang J, Wang C, Nong L, Deng H.
    Environ Pollut; 2024 Jun 15; 351():124057. PubMed ID: 38688385
    [Abstract] [Full Text] [Related]

  • 9. Spatial and Temporal Variations of PM2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China.
    Chen T, He J, Lu X, She J, Guan Z.
    Int J Environ Res Public Health; 2016 Sep 16; 13(9):. PubMed ID: 27649227
    [Abstract] [Full Text] [Related]

  • 10. Development and validation of improved PM2.5 models for public health applications using remotely sensed aerosol and meteorological data.
    Al-Hamdan M, Crosson W, Burrows E, Coffield S, Crane B, Barik M.
    Environ Monit Assess; 2019 Jun 28; 191(Suppl 2):328. PubMed ID: 31254078
    [Abstract] [Full Text] [Related]

  • 11. The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations.
    Yang Q, Yuan Q, Yue L, Li T, Shen H, Zhang L.
    Environ Pollut; 2019 May 28; 248():526-535. PubMed ID: 30831349
    [Abstract] [Full Text] [Related]

  • 12. Investigation of the spatially varying relationships of PM2.5 with meteorology, topography, and emissions over China in 2015 by using modified geographically weighted regression.
    Yang Q, Yuan Q, Yue L, Li T.
    Environ Pollut; 2020 Jul 28; 262():114257. PubMed ID: 32146364
    [Abstract] [Full Text] [Related]

  • 13. Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing.
    Yan S, Cao H, Chen Y, Wu C, Hong T, Fan H.
    Environ Sci Pollut Res Int; 2016 Jul 28; 23(14):13996-4007. PubMed ID: 27040547
    [Abstract] [Full Text] [Related]

  • 14. Effects of Meteorological Conditions on PM2.5 Concentrations in Nagasaki, Japan.
    Wang J, Ogawa S.
    Int J Environ Res Public Health; 2015 Aug 03; 12(8):9089-101. PubMed ID: 26247953
    [Abstract] [Full Text] [Related]

  • 15. Analysis of temporal spatial distribution characteristics of PM2.5 pollution and the influential meteorological factors using Big Data in Harbin, China.
    Luo Y, Liu S, Che L, Yu Y.
    J Air Waste Manag Assoc; 2021 Aug 03; 71(8):964-973. PubMed ID: 33705269
    [Abstract] [Full Text] [Related]

  • 16. Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China.
    Guan Q, Cai A, Wang F, Yang L, Xu C, Liu Z.
    Environ Pollut; 2017 Nov 03; 230():189-198. PubMed ID: 28651090
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  • 17. Spatio-temporal modeling of PM2.5 risk mapping using three machine learning algorithms.
    Shogrkhodaei SZ, Razavi-Termeh SV, Fathnia A.
    Environ Pollut; 2021 Nov 15; 289():117859. PubMed ID: 34340183
    [Abstract] [Full Text] [Related]

  • 18. Dependence of urban air pollutants on morning/evening peak hours and seasons.
    Gupta SK, Elumalai SP.
    Arch Environ Contam Toxicol; 2019 May 15; 76(4):572-590. PubMed ID: 30879121
    [Abstract] [Full Text] [Related]

  • 19. Airborne particulate in Varanasi over middle Indo-Gangetic Plain: variation in particulate types and meteorological influences.
    Murari V, Kumar M, Mhawish A, Barman SC, Banerjee T.
    Environ Monit Assess; 2017 Apr 15; 189(4):157. PubMed ID: 28285436
    [Abstract] [Full Text] [Related]

  • 20. [Comparative analysis on meteorological condition for persistent haze cases in summer and winter in Beijing].
    Liao XN, Zhang XL, Wang YC, Liu WD, Du J, Zhao LH.
    Huan Jing Ke Xue; 2014 Jun 15; 35(6):2031-44. PubMed ID: 25158475
    [Abstract] [Full Text] [Related]

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