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10.1038/s41598-020-70179-8 http://scihub22266oqcxt.onion/10.1038/s41598-020-70179-8 32778673!7417527!32778673     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2020 ; 10 (1): 13442 Nephropedia Template TP {{tp|p=32778673|t=2020. PM(2 5) diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology |pdf=|usr=}}{{32778673}} gab.com Text PM(2 5) diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32778673 #FOAvip Delhi, a tropical Indian megacity, experiences one of the most severe air pollution in the world, linked with diverse anthropogenic and biomass burning emissions. First phase of COVID-19 lockdown in India, implemented during 25 March to 14 April 2020 resulted in a dramatic near-zeroing of various activities (e.g. traffic, industries, constructions), except the "essential services". Here, we analysed variations in the fine particulate matter (PM(2.5)) over the Delhi-National Capital Region. Measurements revealed large reductions (by 40-70%) in PM(2.5) during the first week of lockdown (25-31 March 2020) as compared to the pre-lockdown conditions. However, O(3) pollution remained high during the lockdown due to non-linear chemistry and dynamics under low aerosol loading. Notably, events of enhanced PM(2.5) levels (300-400 microg m(-3)) were observed during night and early morning hours in the first week of April after air temperatures fell close to the dew-point (~ 15-17 degrees C). A haze formation mechanism is suggested through uplifting of fine particles, which is reinforced by condensation of moisture following the sunrise. The study highlights a highly complex interplay between the baseline pollution and meteorology leading to counter intuitive enhancements in pollution, besides an overall improvement in air quality during the COVID-19 lockdown in this part of the world. Twit Text FOAVip PM(2 5) diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32778673 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32778673 #FOAvip English Wikipedia <ref>{{Cite pmid|32778673}}</ref> PM(2 5) diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology #MMPMID32778673 Dhaka SK; Chetna; Kumar V; Panwar V; Dimri AP; Singh N; Patra PK; Matsumi Y; Takigawa M; Nakayama T; Yamaji K; Kajino M; Misra P; Hayashida S Sci Rep 2020[Aug]; 10 (1): 13442 PMID32778673show ga Delhi, a tropical Indian megacity, experiences one of the most severe air pollution in the world, linked with diverse anthropogenic and biomass burning emissions. First phase of COVID-19 lockdown in India, implemented during 25 March to 14 April 2020 resulted in a dramatic near-zeroing of various activities (e.g. traffic, industries, constructions), except the "essential services". Here, we analysed variations in the fine particulate matter (PM(2.5)) over the Delhi-National Capital Region. Measurements revealed large reductions (by 40-70%) in PM(2.5) during the first week of lockdown (25-31 March 2020) as compared to the pre-lockdown conditions. However, O(3) pollution remained high during the lockdown due to non-linear chemistry and dynamics under low aerosol loading. Notably, events of enhanced PM(2.5) levels (300-400 microg m(-3)) were observed during night and early morning hours in the first week of April after air temperatures fell close to the dew-point (~ 15-17 degrees C). A haze formation mechanism is suggested through uplifting of fine particles, which is reinforced by condensation of moisture following the sunrise. The study highlights a highly complex interplay between the baseline pollution and meteorology leading to counter intuitive enhancements in pollution, besides an overall improvement in air quality during the COVID-19 lockdown in this part of the world. |*Betacoronavirus[MESH] |*Weather[MESH] |Aerosols/analysis[MESH] |Air Pollutants/*analysis[MESH] |Air Pollution/analysis[MESH] |COVID-19[MESH] |Cities/epidemiology[MESH] |Coronavirus Infections/*epidemiology/*prevention & control/virology[MESH] |Environmental Monitoring/methods[MESH] |Humans[MESH] |India/epidemiology[MESH] |Ozone/analysis[MESH] |Pandemics/*prevention & control[MESH] |Particulate Matter/*analysis[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control/virology[MESH] |Quarantine/*methods[MESH] |SARS-CoV-2[MESH]PM(2 5) diminution and haze events over Delhi during the COVID-19 lock(epmc).pdf DeepDyve Pubget Overpricing