{"title":"飞机客舱内传染性气溶胶污染物吸入模型","authors":"Bert A. Silich","doi":"10.15394/IJAAA.2021.1545","DOIUrl":null,"url":null,"abstract":"Aerosol contamination of an aircraft cabin by infectious passengers is a concern of passengers, aircrew and the aviation industry This may be especially important during a pandemic, such as COVID-19, where the full extent of aerosol transmission is not well understood A statistical method to determine the number of infectious passengers on board along with a mathematical model estimating the contaminant concentration of aerosols in the cabin and the number of inhaled infectious particles by passengers is presented An example is used to demonstrated how the results can be estimated during normal operations and emergency conditions with malfunctions of the air conditioning and pressurization system which are responsible maintaining clean cabin air This type of information can assist the aviation industry in providing the end users of aircraft travel, i e passengers and aircrew, with reasonable cabin contaminant guidelines Accomplishing this in a timely manner requires the combination of modeling adjusted by experimentation Physically testing all aircraft for each of these conditions would be time consuming, expensive and impractical Incorporating a model towards solving these problems can serve to bridge the gaps between a finite number of experimental results","PeriodicalId":13807,"journal":{"name":"International Journal of Aviation, Aeronautics, and Aerospace","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Model for Inhalation of Infectious Aerosol Contaminants in an Aircraft Passenger Cabin\",\"authors\":\"Bert A. Silich\",\"doi\":\"10.15394/IJAAA.2021.1545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aerosol contamination of an aircraft cabin by infectious passengers is a concern of passengers, aircrew and the aviation industry This may be especially important during a pandemic, such as COVID-19, where the full extent of aerosol transmission is not well understood A statistical method to determine the number of infectious passengers on board along with a mathematical model estimating the contaminant concentration of aerosols in the cabin and the number of inhaled infectious particles by passengers is presented An example is used to demonstrated how the results can be estimated during normal operations and emergency conditions with malfunctions of the air conditioning and pressurization system which are responsible maintaining clean cabin air This type of information can assist the aviation industry in providing the end users of aircraft travel, i e passengers and aircrew, with reasonable cabin contaminant guidelines Accomplishing this in a timely manner requires the combination of modeling adjusted by experimentation Physically testing all aircraft for each of these conditions would be time consuming, expensive and impractical Incorporating a model towards solving these problems can serve to bridge the gaps between a finite number of experimental results\",\"PeriodicalId\":13807,\"journal\":{\"name\":\"International Journal of Aviation, Aeronautics, and Aerospace\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Aviation, Aeronautics, and Aerospace\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15394/IJAAA.2021.1545\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Aviation, Aeronautics, and Aerospace","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15394/IJAAA.2021.1545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
A Model for Inhalation of Infectious Aerosol Contaminants in an Aircraft Passenger Cabin
Aerosol contamination of an aircraft cabin by infectious passengers is a concern of passengers, aircrew and the aviation industry This may be especially important during a pandemic, such as COVID-19, where the full extent of aerosol transmission is not well understood A statistical method to determine the number of infectious passengers on board along with a mathematical model estimating the contaminant concentration of aerosols in the cabin and the number of inhaled infectious particles by passengers is presented An example is used to demonstrated how the results can be estimated during normal operations and emergency conditions with malfunctions of the air conditioning and pressurization system which are responsible maintaining clean cabin air This type of information can assist the aviation industry in providing the end users of aircraft travel, i e passengers and aircrew, with reasonable cabin contaminant guidelines Accomplishing this in a timely manner requires the combination of modeling adjusted by experimentation Physically testing all aircraft for each of these conditions would be time consuming, expensive and impractical Incorporating a model towards solving these problems can serve to bridge the gaps between a finite number of experimental results
期刊介绍:
The International Journal of Aviation, Aeronautics, and Aerospace (IJAAA) is a peer-reviewed publication for scholars from a variety of backgrounds including educators, industry personnel, and government researchers. The editorial focus is on the global issues that are currently facing the aviation, aeronautics, and aerospace segments. Example subject areas that would be appropriate for inclusion in the journal are: Underrepresented groups in aviation/aerospace Current aviation problems and solutions (e.g. NextGen, airport delays) Space launch and operations/missions Air traffic control Aeronautical engineering Unmanned systems Government research in aviation/aerospace Sciences, Technology, Engineering, and Mathematics (STEM) education Crew and general resource management Aviation/aeronautics/aerospace primary, secondary, and higher education Aviation/aerospace manufacturing Aviation/aerospace safety Aviation/aerospace security Aviation/aerospace training Aviation/aerospace education Aviation/aerospace meteorology Aviation/aerospace navigation and avionics systems Aviation/aerospace maintenance Aviation/aerospace finance and management Aviation/aerospace logistics Aviation/aerospace legislation and regulation Aviation/aerospace medicine