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10.3390/ijerph18105425 http://scihub22266oqcxt.onion/10.3390/ijerph18105425 34069502!8160776!34069502     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       Int+J+Environ+Res+Public+Health 2021 ; 18 (10): ä Nephropedia Template TP {{tp|p=34069502|t=2021. Natural Ventilation Characterization in a Classroom under Different Scenarios |pdf=|usr=}}{{34069502}} gab.com Text Natural Ventilation Characterization in a Classroom under Different Scenarios JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34069502 #FOAvip The COVID-19 pandemic has pointed to the need to increase our knowledge in fields related to human breathing. In the present study, temperature, relative humidity, carbon dioxide (CO(2)) concentration, and median particle size diameter measurements were taken into account. These parameters were analyzed in a computer classroom with 15 subjects during a normal 90-minute class; all the subjects wore surgical masks. For measurements, Arduino YUN, Arduino UNO, and APS-3321 devices were used. Natural ventilation efficiency was checked in two different ventilation scenarios: only windows open and windows and doors open. The results show how ventilation affects the temperature, CO(2) concentration, and median particle diameter size parameters. By contrast, the relative humidity depends more on the outdoor meteorological conditions. Both ventilation scenarios tend to create the same room conditions in terms of temperature, humidity, CO(2) concentration, and particle size. Additionally, the evolution of CO(2) concentration as well as the particle size distribution along the time was studied. Finally, the particulate matter (PM(2.5)) was investigated together with particle concentration. Both parameters showed a similar trend during the time of the experiments. Twit Text FOAVip Natural Ventilation Characterization in a Classroom under Different Scenarios ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34069502 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34069502 #FOAvip English Wikipedia <ref>{{Cite pmid|34069502}}</ref> Natural Ventilation Characterization in a Classroom under Different Scenarios #MMPMID34069502 Chillon SA; Millan M; Aramendia I; Fernandez-Gamiz U; Zulueta E; Mendaza-Sagastizabal X Int J Environ Res Public Health 2021[May]; 18 (10): ä PMID34069502show ga The COVID-19 pandemic has pointed to the need to increase our knowledge in fields related to human breathing. In the present study, temperature, relative humidity, carbon dioxide (CO(2)) concentration, and median particle size diameter measurements were taken into account. These parameters were analyzed in a computer classroom with 15 subjects during a normal 90-minute class; all the subjects wore surgical masks. For measurements, Arduino YUN, Arduino UNO, and APS-3321 devices were used. Natural ventilation efficiency was checked in two different ventilation scenarios: only windows open and windows and doors open. The results show how ventilation affects the temperature, CO(2) concentration, and median particle diameter size parameters. By contrast, the relative humidity depends more on the outdoor meteorological conditions. Both ventilation scenarios tend to create the same room conditions in terms of temperature, humidity, CO(2) concentration, and particle size. Additionally, the evolution of CO(2) concentration as well as the particle size distribution along the time was studied. Finally, the particulate matter (PM(2.5)) was investigated together with particle concentration. Both parameters showed a similar trend during the time of the experiments. |*Air Pollutants/analysis[MESH] |*Air Pollution, Indoor/analysis[MESH] |*COVID-19[MESH] |Carbon Dioxide/analysis[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |Pandemics[MESH] |Particle Size[MESH] |Particulate Matter/analysis[MESH] |SARS-CoV-2[MESH] |Schools[MESH]Natural Ventilation Characterization in a Classroom under Different Sc(epmc).pdf DeepDyve Pubget Overpricing