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Journal Abstract Search
384 related items for PubMed ID: 30823341
21. Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique. Zhou C, Chen J, Wang S. Sci Total Environ; 2018 Apr 01; 619-620():436-445. PubMed ID: 29156264 [Abstract] [Full Text] [Related]
22. Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Zhang H, Wang Y, Hu J, Ying Q, Hu XM. Environ Res; 2015 Jul 01; 140():242-54. PubMed ID: 25880606 [Abstract] [Full Text] [Related]
23. [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 [Abstract] [Full Text] [Related]
24. Effects of meteorology and secondary particle formation on visibility during heavy haze events in Beijing, China. Zhang Q, Quan J, Tie X, Li X, Liu Q, Gao Y, Zhao D. Sci Total Environ; 2015 Jan 01; 502():578-84. PubMed ID: 25300022 [Abstract] [Full Text] [Related]
25. Incorporating long-term satellite-based aerosol optical depth, localized land use data, and meteorological variables to estimate ground-level PM2.5 concentrations in Taiwan from 2005 to 2015. Jung CR, Hwang BF, Chen WT. Environ Pollut; 2018 Jun 01; 237():1000-1010. PubMed ID: 29157969 [Abstract] [Full Text] [Related]
26. Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions. Chen L, Zhu J, Liao H, Yang Y, Yue X. Sci Total Environ; 2020 Nov 20; 744():140837. PubMed ID: 32693282 [Abstract] [Full Text] [Related]
29. 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 20; 221():94-104. PubMed ID: 27889085 [Abstract] [Full Text] [Related]
31. 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 20; 262():114257. PubMed ID: 32146364 [Abstract] [Full Text] [Related]
36. Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model. Li J, Jin M, Xu Z. Int J Environ Res Public Health; 2016 Aug 01; 13(8):. PubMed ID: 27490557 [Abstract] [Full Text] [Related]
37. Modeling the impacts of land use/land cover change on meteorology and air quality during 2000-2018 in the Yangtze River Delta region, China. Li L, Zhu A, Huang L, Wang Q, Chen Y, Ooi MCG, Wang M, Wang Y, Chan A. Sci Total Environ; 2022 Jul 10; 829():154669. PubMed ID: 35314237 [Abstract] [Full Text] [Related]
39. Evaluating the meteorological normalized PM2.5 trend (2014-2019) in the "2+26" region of China using an ensemble learning technique. Qu L, Liu S, Ma L, Zhang Z, Du J, Zhou Y, Meng F. Environ Pollut; 2020 Nov 10; 266(Pt 3):115346. PubMed ID: 32814274 [Abstract] [Full Text] [Related]
40. Elucidating the relationship between aerosol concentration and summertime boundary layer structure in central China. Liu L, Guo J, Miao Y, Liu L, Li J, Chen D, He J, Cui C. Environ Pollut; 2018 Oct 10; 241():646-653. PubMed ID: 29902747 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]