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10.1126/science.abb7431 http://scihub22266oqcxt.onion/10.1126/science.abb7431 32554754!7402623!32554754     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32554754.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Science 2020 ; 369 (6504): 702-706 Nephropedia Template TP {{tp|p=32554754|t=2020. Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China |pdf=|usr=}}{{32554754}} gab.com Text Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China JO: Science http://www.kidney.de/pget.php?&tw=1&pmid=32554754 #FOAvip The absence of motor vehicle traffic and suspended manufacturing during the coronavirus disease 2019 (COVID-19) pandemic in China enabled assessment of the efficiency of air pollution mitigation. Up to 90% reduction of certain emissions during the city-lockdown period can be identified from satellite and ground-based observations. Unexpectedly, extreme particulate matter levels simultaneously occurred in northern China. Our synergistic observation analyses and model simulations show that anomalously high humidity promoted aerosol heterogeneous chemistry, along with stagnant airflow and uninterrupted emissions from power plants and petrochemical facilities, contributing to severe haze formation. Also, because of nonlinear production chemistry and titration of ozone in winter, reduced nitrogen oxides resulted in ozone enhancement in urban areas, further increasing the atmospheric oxidizing capacity and facilitating secondary aerosol formation. Twit Text FOAVip Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China ????Science http://www.kidney.de/pget.php?&tw=1&pmid=32554754 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32554754 #FOAvip English Wikipedia <ref>{{Cite pmid|32554754}}</ref> Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China #MMPMID32554754 Le T; Wang Y; Liu L; Yang J; Yung YL; Li G; Seinfeld JH Science 2020[Aug]; 369 (6504): 702-706 PMID32554754show ga The absence of motor vehicle traffic and suspended manufacturing during the coronavirus disease 2019 (COVID-19) pandemic in China enabled assessment of the efficiency of air pollution mitigation. Up to 90% reduction of certain emissions during the city-lockdown period can be identified from satellite and ground-based observations. Unexpectedly, extreme particulate matter levels simultaneously occurred in northern China. Our synergistic observation analyses and model simulations show that anomalously high humidity promoted aerosol heterogeneous chemistry, along with stagnant airflow and uninterrupted emissions from power plants and petrochemical facilities, contributing to severe haze formation. Also, because of nonlinear production chemistry and titration of ozone in winter, reduced nitrogen oxides resulted in ozone enhancement in urban areas, further increasing the atmospheric oxidizing capacity and facilitating secondary aerosol formation. |*Air Pollution[MESH] |*Betacoronavirus[MESH] |*Disease Outbreaks[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Computer Simulation[MESH] |Coronavirus Infections/*epidemiology[MESH] |Humans[MESH] |Humidity[MESH] |Meteorological Concepts[MESH] |Nitrogen Dioxide/analysis[MESH] |Ozone[MESH] |Pandemics[MESH] |Particulate Matter/*analysis[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH] |Sulfur Dioxide/analysis[MESH] |Weather[MESH]Unexpected air pollution with marked emission reductions during the CO(epmc).pdf DeepDyve Pubget Overpricing