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10.1016/j.scitotenv.2020.140000 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.140000 32540668!7274103!32540668     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 739 (ä): 140000 Nephropedia Template TP {{tp|p=32540668|t=2020. Significant changes in the chemical compositions and sources of PM(2 5) in Wuhan since the city lockdown as COVID-19 |pdf=|usr=}}{{32540668}} gab.com Text Significant changes in the chemical compositions and sources of PM(2 5) in Wuhan since the city lockdown as COVID-19 JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32540668 #FOAvip Wuhan was the first city to adopt the lockdown measures to prevent COVID-19 spreading, which improved the air quality accordingly. This study investigated the variations in chemical compositions, source contributions, and regional transport of fine particles (PM(2.5)) during January 23-February 22 of 2020, compared with the same period in 2019. The average mass concentration of PM(2.5) decreased from 72.9 mug m(-3) (2019) to 45.9 mug m(-3) (2020), by 27.0 mug m(-3). It was predominantly contributed by the emission reduction (92.0%), retrieved from a random forest tree approach. The main chemical species of PM(2.5) all decreased with the reductions ranging from 0.85 mug m(-3) (chloride) to 9.86 mug m(-3) (nitrate) (p < 0.01). Positive matrix factorization model indicated that the mass contributions of seven PM(2.5) sources all decreased. However, their contribution percentages varied from -11.0% (industrial processes) to 8.70% (secondary inorganic aerosol). Source contributions of PM(2.5) transported from potential geographical regions showed reductions with mean values ranging from 0.22 to 4.36 mug m(-3). However, increased contributions of firework burning, secondary inorganic aerosol, road dust, and vehicle emissions from transboundary transport were observed. This study highlighted the complex and nonlinear response of chemical compositions and sources of PM(2.5) to air pollution control measures, suggesting the importance of regional-joint control. Twit Text FOAVip Significant changes in the chemical compositions and sources of PM(2 5) in Wuhan since the city lockdown as COVID-19 ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32540668 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32540668 #FOAvip English Wikipedia <ref>{{Cite pmid|32540668}}</ref> Significant changes in the chemical compositions and sources of PM(2 5) in Wuhan since the city lockdown as COVID-19 #MMPMID32540668 Zheng H; Kong S; Chen N; Yan Y; Liu D; Zhu B; Xu K; Cao W; Ding Q; Lan B; Zhang Z; Zheng M; Fan Z; Cheng Y; Zheng S; Yao L; Bai Y; Zhao T; Qi S Sci Total Environ 2020[Oct]; 739 (ä): 140000 PMID32540668show ga Wuhan was the first city to adopt the lockdown measures to prevent COVID-19 spreading, which improved the air quality accordingly. This study investigated the variations in chemical compositions, source contributions, and regional transport of fine particles (PM(2.5)) during January 23-February 22 of 2020, compared with the same period in 2019. The average mass concentration of PM(2.5) decreased from 72.9 mug m(-3) (2019) to 45.9 mug m(-3) (2020), by 27.0 mug m(-3). It was predominantly contributed by the emission reduction (92.0%), retrieved from a random forest tree approach. The main chemical species of PM(2.5) all decreased with the reductions ranging from 0.85 mug m(-3) (chloride) to 9.86 mug m(-3) (nitrate) (p < 0.01). Positive matrix factorization model indicated that the mass contributions of seven PM(2.5) sources all decreased. However, their contribution percentages varied from -11.0% (industrial processes) to 8.70% (secondary inorganic aerosol). Source contributions of PM(2.5) transported from potential geographical regions showed reductions with mean values ranging from 0.22 to 4.36 mug m(-3). However, increased contributions of firework burning, secondary inorganic aerosol, road dust, and vehicle emissions from transboundary transport were observed. This study highlighted the complex and nonlinear response of chemical compositions and sources of PM(2.5) to air pollution control measures, suggesting the importance of regional-joint control. |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Air Pollutants/*analysis[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Cities[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |Particulate Matter/*analysis[MESH] |SARS-CoV-2[MESH]Significant changes in the chemical compositions and sources of PM(2 5(epmc).pdf DeepDyve Pubget Overpricing