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10.1016/j.scitotenv.2020.141621 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.141621 32822915!7418784!32822915     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       Sci+Total+Environ 2020 ; 749 (ä): 141621 Nephropedia Template TP {{tp|p=32822915|t=2020. Air quality variations in Northern South America during the COVID-19 lockdown |pdf=|usr=}}{{32822915}} gab.com Text Air quality variations in Northern South America during the COVID-19 lockdown JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32822915 #FOAvip Lockdown measures led to air pollution decrease in several countries around the world such as China and India, whereas other regions experimented an increase in pollutant concentrations. Northern South America (NSA) was one of those areas where pollution changed during lockdown due to high fire activity. This study aims to analyze, for the first time in NSA, the behavior of selected criteria air pollutants during the implementation of the SARS-CoV-2 lockdown in two high populated cities of the region: Bogota and Medellin in Colombia. A set of tools including surface measurements, as well as satellite and modeled data were used. 24-hour average concentrations of PM(10), PM(2.5), and NO(2) were collected from air quality stations for the lockdown period ranging from February 21 to June 30, 2020. The Copernicus Atmosphere Monitoring Service (CAMS) was used to analyze the fire flux OC as a biomass burning (BB) indicator, and tropospheric NO(2) concentrations were retrieved from TROPOMI. The HYSPLIT model was used to analyze back trajectories and fire data were obtained from MODIS sensor measurements. Our analysis shows short-term background NO(2), PM(10), and PM(2.5) concentration reductions of 60%, 44%, and 40%, respectively, for the strict lockdown; and 62%, 58%, and 69% for the relaxed lockdown. Corresponding long-term reductions were of 50%, 32%, and 9% for the strict lockdown; and 37%, 29%, and 19% for the relaxed lockdown. Regional BB increased PM(2.5) concentrations by 20 mug/m(3) during the strict lockdown, and the Saharan dust event increased PM(10) concentrations up to 168 mug/m(3) in Bogota, and 104 mug/m(3) in Medellin, bringing an additional risk of morbidity and mortality for population. Regional BB has several causes that need to be properly managed to benefit local air quality improvement plans. Future cleaner transport policies equivalent to reduced lockdown mobility could bring pollution close to WHO guidelines. Twit Text FOAVip Air quality variations in Northern South America during the COVID-19 lockdown ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32822915 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32822915 #FOAvip English Wikipedia <ref>{{Cite pmid|32822915}}</ref> Air quality variations in Northern South America during the COVID-19 lockdown #MMPMID32822915 Mendez-Espinosa JF; Rojas NY; Vargas J; Pachon JE; Belalcazar LC; Ramirez O Sci Total Environ 2020[Dec]; 749 (ä): 141621 PMID32822915show ga Lockdown measures led to air pollution decrease in several countries around the world such as China and India, whereas other regions experimented an increase in pollutant concentrations. Northern South America (NSA) was one of those areas where pollution changed during lockdown due to high fire activity. This study aims to analyze, for the first time in NSA, the behavior of selected criteria air pollutants during the implementation of the SARS-CoV-2 lockdown in two high populated cities of the region: Bogota and Medellin in Colombia. A set of tools including surface measurements, as well as satellite and modeled data were used. 24-hour average concentrations of PM(10), PM(2.5), and NO(2) were collected from air quality stations for the lockdown period ranging from February 21 to June 30, 2020. The Copernicus Atmosphere Monitoring Service (CAMS) was used to analyze the fire flux OC as a biomass burning (BB) indicator, and tropospheric NO(2) concentrations were retrieved from TROPOMI. The HYSPLIT model was used to analyze back trajectories and fire data were obtained from MODIS sensor measurements. Our analysis shows short-term background NO(2), PM(10), and PM(2.5) concentration reductions of 60%, 44%, and 40%, respectively, for the strict lockdown; and 62%, 58%, and 69% for the relaxed lockdown. Corresponding long-term reductions were of 50%, 32%, and 9% for the strict lockdown; and 37%, 29%, and 19% for the relaxed lockdown. Regional BB increased PM(2.5) concentrations by 20 mug/m(3) during the strict lockdown, and the Saharan dust event increased PM(10) concentrations up to 168 mug/m(3) in Bogota, and 104 mug/m(3) in Medellin, bringing an additional risk of morbidity and mortality for population. Regional BB has several causes that need to be properly managed to benefit local air quality improvement plans. Future cleaner transport policies equivalent to reduced lockdown mobility could bring pollution close to WHO guidelines. |*Air Pollutants/analysis[MESH] |*Air Pollution/analysis[MESH] |*COVID-19[MESH] |Africa, Northern[MESH] |China[MESH] |Cities[MESH] |Colombia[MESH] |Communicable Disease Control[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |India[MESH] |North America[MESH] |Particulate Matter/analysis[MESH] |SARS-CoV-2[MESH]Air quality variations in Northern South America during the COVID-19 l(epmc).pdf DeepDyve Pubget Overpricing