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10.1016/j.envres.2021.111208 http://scihub22266oqcxt.onion/10.1016/j.envres.2021.111208 33895110!8061636!33895110     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Res 2021 ; 197 (ä): 111208 Nephropedia Template TP {{tp|p=33895110|t=2021. The impact of COVID-19 lockdown on atmospheric CO(2) in Xi an, China |pdf=|usr=}}{{33895110}} gab.com Text The impact of COVID-19 lockdown on atmospheric CO(2) in Xi an, China JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=33895110 #FOAvip Lockdown measures to control the spread of the novel coronavirus disease (COVID-19) sharply limited energy consumption and carbon emissions. The lockdown effect on carbon emissions has been studied by many researchers using statistical approaches. However, the lockdown effect on atmospheric carbon dioxide (CO(2)) on an urban scale remains unclear. Here we present CO(2) concentration and carbon isotopic (delta(13)C) measurements to assess the impact of COVID-19 control measures on atmospheric CO(2) in Xi'an, China. We find that CO(2) concentrations during the lockdown period were 7.5% lower than during the normal period (prior to the Spring Festival, Jan 25 to Feb 4, 2020). The observed CO(2)(excess) (total CO(2) minus background CO(2)) during the lockdown period was 52.3% lower than that during the normal period, and 35.7% lower than the estimated CO(2)(excess) with the effect of weather removed. A Keeling plot shows that in contrast CO(2) concentrations and delta(13)C were weakly correlated (R(2) = 0.18) during the lockdown period, reflecting a change in CO(2) sources imposed by the curtailment of traffic and industrial emissions. Our study also show that the sharp reduction in atmospheric CO(2) during lockdown were short-lived, and returned to normal levels within months after lockdown measures were lifted. Twit Text FOAVip The impact of COVID-19 lockdown on atmospheric CO(2) in Xi an, China ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=33895110 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33895110 #FOAvip English Wikipedia <ref>{{Cite pmid|33895110}}</ref> The impact of COVID-19 lockdown on atmospheric CO(2) in Xi an, China #MMPMID33895110 Wu S; Zhou W; Xiong X; Burr GS; Cheng P; Wang P; Niu Z; Hou Y Environ Res 2021[Jun]; 197 (ä): 111208 PMID33895110show ga Lockdown measures to control the spread of the novel coronavirus disease (COVID-19) sharply limited energy consumption and carbon emissions. The lockdown effect on carbon emissions has been studied by many researchers using statistical approaches. However, the lockdown effect on atmospheric carbon dioxide (CO(2)) on an urban scale remains unclear. Here we present CO(2) concentration and carbon isotopic (delta(13)C) measurements to assess the impact of COVID-19 control measures on atmospheric CO(2) in Xi'an, China. We find that CO(2) concentrations during the lockdown period were 7.5% lower than during the normal period (prior to the Spring Festival, Jan 25 to Feb 4, 2020). The observed CO(2)(excess) (total CO(2) minus background CO(2)) during the lockdown period was 52.3% lower than that during the normal period, and 35.7% lower than the estimated CO(2)(excess) with the effect of weather removed. A Keeling plot shows that in contrast CO(2) concentrations and delta(13)C were weakly correlated (R(2) = 0.18) during the lockdown period, reflecting a change in CO(2) sources imposed by the curtailment of traffic and industrial emissions. Our study also show that the sharp reduction in atmospheric CO(2) during lockdown were short-lived, and returned to normal levels within months after lockdown measures were lifted. |*Air Pollutants/analysis[MESH] |*COVID-19[MESH] |Carbon Dioxide/analysis[MESH] |China[MESH] |Communicable Disease Control[MESH] |Environmental Monitoring[MESH] |Humans[MESH]The impact of COVID-19 lockdown on atmospheric CO(2) in Xi an, China (epmc).pdf DeepDyve Pubget Overpricing