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10.1016/j.atmosenv.2020.117972 http://scihub22266oqcxt.onion/10.1016/j.atmosenv.2020.117972 33013178!7521432!33013178     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Atmos+Environ+(1994) 2021 ; 244 (ä): 117972 Nephropedia Template TP {{tp|p=33013178|t=2021. Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO(2) variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations |pdf=|usr=}}{{33013178}} gab.com Text Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO(2) variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations JO: Atmos Environ (1994) http://www.kidney.de/pget.php?&tw=1&pmid=33013178 #FOAvip The lockdown measures due to COVID-19 affected the industry, transportation and other human activities within China in early 2020, and subsequently the emissions of air pollutants. The decrease of atmospheric NO(2) due to the COVID-19 lockdown and other factors were quantitively analyzed based on the surface concentrations by in-situ observations, the tropospheric vertical column densities (VCDs) by different satellite retrievals including OMI and TROPOMI, and the model simulations by GEOS-Chem. The results indicated that due to the COVID-19 lockdown, the surface NO(2) concentrations decreased by 42% +/- 8% and 26% +/- 9% over China in February and March 2020, respectively. The tropospheric NO(2) VCDs based on both OMI and high quality (quality assurance value (QA) >/= 0.75) TROPOMI showed similar results as the surface NO(2) concentrations. The daily variations of atmospheric NO(2) during the first quarter (Q1) of 2020 were not only affected by the COVID-19 lockdown, but also by the Spring Festival (SF) holiday (January 24-30, 2020) as well as the meteorology changes due to seasonal transition. The SF holiday effect resulted in a NO(2) reduction from 8 days before SF to 21 days after it (i.e. January 17 - February 15), with a maximum of 37%. From the 6 days after SF (January 31) to the end of March, the COVID-19 lockdown played an important role in the NO(2) reduction, with a maximum of 51%. The meteorology changes due to seasonal transition resulted in a nearly linear decreasing trend of 25% and 40% reduction over the 90 days for the NO(2) concentrations and VCDs, respectively. Comparisons between different datasets indicated that medium quality (QA >/= 0.5) TROPOMI retrievals might suffer large biases in some periods, and thus attention must be paid when they are used for analyses, data assimilations and emission inversions. Twit Text FOAVip Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO(2) variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations ????Atmos Environ (1994) http://www.kidney.de/pget.php?&tw=1&pmid=33013178 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33013178 #FOAvip English Wikipedia <ref>{{Cite pmid|33013178}}</ref> Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO(2) variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations #MMPMID33013178 Wang Z; Uno I; Yumimoto K; Itahashi S; Chen X; Yang W; Wang Z Atmos Environ (1994) 2021[Jan]; 244 (ä): 117972 PMID33013178show ga The lockdown measures due to COVID-19 affected the industry, transportation and other human activities within China in early 2020, and subsequently the emissions of air pollutants. The decrease of atmospheric NO(2) due to the COVID-19 lockdown and other factors were quantitively analyzed based on the surface concentrations by in-situ observations, the tropospheric vertical column densities (VCDs) by different satellite retrievals including OMI and TROPOMI, and the model simulations by GEOS-Chem. The results indicated that due to the COVID-19 lockdown, the surface NO(2) concentrations decreased by 42% +/- 8% and 26% +/- 9% over China in February and March 2020, respectively. The tropospheric NO(2) VCDs based on both OMI and high quality (quality assurance value (QA) >/= 0.75) TROPOMI showed similar results as the surface NO(2) concentrations. The daily variations of atmospheric NO(2) during the first quarter (Q1) of 2020 were not only affected by the COVID-19 lockdown, but also by the Spring Festival (SF) holiday (January 24-30, 2020) as well as the meteorology changes due to seasonal transition. The SF holiday effect resulted in a NO(2) reduction from 8 days before SF to 21 days after it (i.e. January 17 - February 15), with a maximum of 37%. From the 6 days after SF (January 31) to the end of March, the COVID-19 lockdown played an important role in the NO(2) reduction, with a maximum of 51%. The meteorology changes due to seasonal transition resulted in a nearly linear decreasing trend of 25% and 40% reduction over the 90 days for the NO(2) concentrations and VCDs, respectively. Comparisons between different datasets indicated that medium quality (QA >/= 0.5) TROPOMI retrievals might suffer large biases in some periods, and thus attention must be paid when they are used for analyses, data assimilations and emission inversions. äImpacts of COVID-19 lockdown, Spring Festival and meteorology on the N(epmc).pdf DeepDyve Pubget Overpricing