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10.1016/j.atmosenv.2021.118322 http://scihub22266oqcxt.onion/10.1016/j.atmosenv.2021.118322 34035656!8137364!34035656     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34035656&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 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 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Atmos+Environ+(1994) 2021 ; 254 (ä): 118322 Nephropedia Template TP {{tp|p=34035656|t=2021. An investigation of the impacts of a successful COVID-19 response and meteorology on air quality in New Zealand |pdf=|usr=}}{{34035656}} gab.com Text An investigation of the impacts of a successful COVID-19 response and meteorology on air quality in New Zealand JO: Atmos Environ (1994) http://www.kidney.de/pget.php?&tw=1&pmid=34035656 #FOAvip The COVID-19 pandemic brought about national restrictions on people's movements, in effect commencing a socially engineered transport emission reduction experiment. In New Zealand during the most restrictive alert level (Level 4), roadside concentrations of nitrogen dioxide (NO(2)) were reduced 48-54% compared to Business-as-usual (BAU) values. NO(2) concentrations rapidly returned to near mean levels as the alert levels decreased and restrictions eased. PM(10) and PM(2.5) responded differently to NO(2) during the different alert levels. This is due to particulates having multiple sources, many of natural origin and therefore less influenced by human activity. PM(10) and PM(2.5) concentrations were reduced during alert level 4 but to a lesser extent than NO(2) and with more variability across regions. Particulate concentrations increased notably during alert level 2 when many airsheds reported concentrations above the BAU means. To provide robust BAU reference concentrations, simple 5-year means were calculated along with predictions from machine learning modelling that, in effect, removed the influence of meteorology on observed concentrations. The results of this study show that latter method was found to be more closely aligned to observed values for NO(2) as well as PM(2.5) and PM(10) away from coastal regions. Twit Text FOAVip An investigation of the impacts of a successful COVID-19 response and meteorology on air quality in New Zealand ????Atmos Environ (1994) http://www.kidney.de/pget.php?&tw=1&pmid=34035656 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34035656 #FOAvip English Wikipedia <ref>{{Cite pmid|34035656}}</ref> An investigation of the impacts of a successful COVID-19 response and meteorology on air quality in New Zealand #MMPMID34035656 Talbot N; Takada A; Bingham AH; Elder D; Lay Yee S; Golubiewski NE Atmos Environ (1994) 2021[Jun]; 254 (ä): 118322 PMID34035656show ga The COVID-19 pandemic brought about national restrictions on people's movements, in effect commencing a socially engineered transport emission reduction experiment. In New Zealand during the most restrictive alert level (Level 4), roadside concentrations of nitrogen dioxide (NO(2)) were reduced 48-54% compared to Business-as-usual (BAU) values. NO(2) concentrations rapidly returned to near mean levels as the alert levels decreased and restrictions eased. PM(10) and PM(2.5) responded differently to NO(2) during the different alert levels. This is due to particulates having multiple sources, many of natural origin and therefore less influenced by human activity. PM(10) and PM(2.5) concentrations were reduced during alert level 4 but to a lesser extent than NO(2) and with more variability across regions. Particulate concentrations increased notably during alert level 2 when many airsheds reported concentrations above the BAU means. To provide robust BAU reference concentrations, simple 5-year means were calculated along with predictions from machine learning modelling that, in effect, removed the influence of meteorology on observed concentrations. The results of this study show that latter method was found to be more closely aligned to observed values for NO(2) as well as PM(2.5) and PM(10) away from coastal regions. äAn investigation of the impacts of a successful COVID-19 response and (epmc).pdf DeepDyve Pubget Overpricing