Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.scitotenv.2020.142227 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.142227 32920418!7473012!32920418     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 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 Deprecated: Implicit conversion from float 263.2 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\32920418.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Total+Environ 2021 ; 754 (ä): 142227 Nephropedia Template TP {{tp|p=32920418|t=2021. Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China |pdf=|usr=}}{{32920418}} gab.com Text Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32920418 #FOAvip Compared with the 21-year climatological mean over the same period during 2000-2020, the aerosol optical depth (AOD) and Angstrom exponent (AE) during the COVID-19 lockdown (January 24-February 29, 2020) decreased and increased, respectively, in most regions of Central-Eastern China (CEC). The AOD (AE) values decreased (increased) by 39.2% (29.4%) and 31.0% (45.3%) in Hubei and Wuhan, respectively, because of the rigorous restrictions. These inverse changes reflected the reduction of total aerosols in the air and the contribution of the increase in fine-mode particles during the lockdown. The surface PM(2.5) had a distinct spatial distribution over CEC during the lockdown, with high concentrations in North China and East China. In particular, relatively high PM(2.5) concentrations were notable in the lower flatlands of Hubei Province in Central China, where six PM(2.5) pollution events were identified during the lockdown. Using the observation data and model simulations, we found that 50% of the pollution episodes were associated with the long-range transport of air pollutants from upstream CEC source regions, which then converged in the downstream Hubei receptor region. However, local pollution was dominant for the remaining episodes because of stagnant meteorological conditions. The long-range transport of air pollutants substantially contributed to PM(2.5) pollution in Hubei, reflecting the exceptional importance of meteorology in regional air quality in China. Twit Text FOAVip Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32920418 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32920418 #FOAvip English Wikipedia <ref>{{Cite pmid|32920418}}</ref> Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China #MMPMID32920418 Shen L; Zhao T; Wang H; Liu J; Bai Y; Kong S; Zheng H; Zhu Y; Shu Z Sci Total Environ 2021[Feb]; 754 (ä): 142227 PMID32920418show ga Compared with the 21-year climatological mean over the same period during 2000-2020, the aerosol optical depth (AOD) and Angstrom exponent (AE) during the COVID-19 lockdown (January 24-February 29, 2020) decreased and increased, respectively, in most regions of Central-Eastern China (CEC). The AOD (AE) values decreased (increased) by 39.2% (29.4%) and 31.0% (45.3%) in Hubei and Wuhan, respectively, because of the rigorous restrictions. These inverse changes reflected the reduction of total aerosols in the air and the contribution of the increase in fine-mode particles during the lockdown. The surface PM(2.5) had a distinct spatial distribution over CEC during the lockdown, with high concentrations in North China and East China. In particular, relatively high PM(2.5) concentrations were notable in the lower flatlands of Hubei Province in Central China, where six PM(2.5) pollution events were identified during the lockdown. Using the observation data and model simulations, we found that 50% of the pollution episodes were associated with the long-range transport of air pollutants from upstream CEC source regions, which then converged in the downstream Hubei receptor region. However, local pollution was dominant for the remaining episodes because of stagnant meteorological conditions. The long-range transport of air pollutants substantially contributed to PM(2.5) pollution in Hubei, reflecting the exceptional importance of meteorology in regional air quality in China. |*Air Pollutants/analysis[MESH] |*Air Pollution/analysis[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China[MESH] |Cities[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |Meteorology[MESH] |Particulate Matter/analysis[MESH]Importance of meteorology in air pollution events during the city lock(epmc).pdf DeepDyve Pubget Overpricing