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10.1038/s41598-021-90617-5 http://scihub22266oqcxt.onion/10.1038/s41598-021-90617-5 34045575!8160135!34045575     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 11119 Nephropedia Template TP {{tp|p=34045575|t=2021. Cause analysis of PM(2 5) pollution during the COVID-19 lockdown in Nanning, China |pdf=|usr=}}{{34045575}} gab.com Text Cause analysis of PM(2 5) pollution during the COVID-19 lockdown in Nanning, China JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=34045575 #FOAvip To analyse the cause of the atmospheric PM(2.5) pollution that occurred during the COVID-19 lockdown in Nanning, Guangxi, China, a single particulate aerosol mass spectrometer, aethalometer, and particulate Lidar coupled with monitoring near-surface gaseous pollutants, meteorological conditions, remote fire spot sensing by satellite and backward trajectory models were utilized during 18-24 February 2020. Three haze stages were identified: the pre-pollution period (PPP), pollution accumulation period (PAP) and pollution dissipation period (PDP). The dominant source of PM(2.5) in the PPP was biomass burning (BB) (40.4%), followed by secondary inorganic sources (28.1%) and motor vehicle exhaust (11.7%). The PAP was characterized by a large abundance of secondary inorganic sources, which contributed 56.1% of the total PM(2.5) concentration, followed by BB (17.4%). The absorption Angstrom exponent (2.2) in the PPP was higher than that in the other two periods. Analysis of fire spots monitored by remote satellite sensing indicated that open BB in regions around Nanning City could be one of the main factors. A planetary boundary layer-relative humidity-secondary particle matter-particulate matter positive feedback mechanism was employed to elucidate the atmospheric processes in this study. This study highlights the importance of understanding the role of BB, secondary inorganic sources and meteorology in air pollution formation and calls for policies for emission control strategies. Twit Text FOAVip Cause analysis of PM(2 5) pollution during the COVID-19 lockdown in Nanning, China ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=34045575 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34045575 #FOAvip English Wikipedia <ref>{{Cite pmid|34045575}}</ref> Cause analysis of PM(2 5) pollution during the COVID-19 lockdown in Nanning, China #MMPMID34045575 Mo Z; Huang J; Chen Z; Zhou B; Zhu K; Liu H; Mu Y; Zhang D; Wang S Sci Rep 2021[May]; 11 (1): 11119 PMID34045575show ga To analyse the cause of the atmospheric PM(2.5) pollution that occurred during the COVID-19 lockdown in Nanning, Guangxi, China, a single particulate aerosol mass spectrometer, aethalometer, and particulate Lidar coupled with monitoring near-surface gaseous pollutants, meteorological conditions, remote fire spot sensing by satellite and backward trajectory models were utilized during 18-24 February 2020. Three haze stages were identified: the pre-pollution period (PPP), pollution accumulation period (PAP) and pollution dissipation period (PDP). The dominant source of PM(2.5) in the PPP was biomass burning (BB) (40.4%), followed by secondary inorganic sources (28.1%) and motor vehicle exhaust (11.7%). The PAP was characterized by a large abundance of secondary inorganic sources, which contributed 56.1% of the total PM(2.5) concentration, followed by BB (17.4%). The absorption Angstrom exponent (2.2) in the PPP was higher than that in the other two periods. Analysis of fire spots monitored by remote satellite sensing indicated that open BB in regions around Nanning City could be one of the main factors. A planetary boundary layer-relative humidity-secondary particle matter-particulate matter positive feedback mechanism was employed to elucidate the atmospheric processes in this study. This study highlights the importance of understanding the role of BB, secondary inorganic sources and meteorology in air pollution formation and calls for policies for emission control strategies. |Air Pollutants/*analysis[MESH] |Air Pollution/*analysis[MESH] |Biomass[MESH] |COVID-19[MESH] |China[MESH] |Dust/analysis[MESH] |Environmental Monitoring/instrumentation/*methods[MESH] |Environmental Pollution/analysis[MESH] |Gases/*analysis[MESH] |Mass Spectrometry/instrumentation[MESH] |Meteorology[MESH] |Particulate Matter/*analysis[MESH]Cause analysis of PM(2 5) pollution during the COVID-19 lockdown in Na(epmc).pdf DeepDyve Pubget Overpricing