Literature DB >> 19191923

A one-dimensional analytical model for airborne contaminant transport in airliner cabins.

S Mazumdar1, Q Chen.   

Abstract

UNLABELLED: Quick information on airborne infectious disease transmission in airliner cabins is essential to reduce the risk of infection of passengers and crew members. This investigation proposed a one-dimensional analytical model that can predict the longitudinal transmission of airborne contaminants or disease viruses inside an airliner cabin. The model considered both diffusive and convective transport of contaminants in the longitudinal direction of the cabin but assumed complete mixing of contaminants in the cabin cross-section. The effect of recirculation of the cabin air and efficiency of the high-efficiency particulate air (HEPA) filters is also considered in the model. The analytical solution for the one-dimensional contaminant transport model is obtained by using the principle of superposition and the method of separation of variables. The analytical solutions agree well with the computational fluid dynamics (CFD) results. The coupling of a CFD model with the one-dimensional analytical model could capture the impact of local airflow on contaminant transport. This analytical model has been used for analyzing contaminant transport in a 30-row all-economy-class airliner cabin with minimal computing effort. PRACTICAL IMPLICATIONS: The paper presents a new one-dimensional analytical model that can provide quick information on global airborne contaminant transmissions in airliner cabins for effective response plans. The model can be used to study the effects of air exchange rates, recirculation, efficiency of the high-efficiency particulate air (HEPA) filters and longitudinal airflow on airborne contaminant transport in airliner cabins with minimal computing effort.

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Year:  2009        PMID: 19191923     DOI: 10.1111/j.1600-0668.2008.00553.x

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  5 in total

1.  Influenza A(H1N1)pdm09 during air travel.

Authors:  John Neatherlin; Elaine H Cramer; Christine Dubray; Karen J Marienau; Michelle Russell; Hong Sun; Melissa Whaley; Kathy Hancock; Krista K Duong; Hannah L Kirking; Christopher Schembri; Jacqueline M Katz; Nicole J Cohen; Daniel B Fishbein
Journal:  Travel Med Infect Dis       Date:  2013-03-21       Impact factor: 6.211

2.  Rethinking hospital general ward ventilation design using computational fluid dynamics.

Authors:  R Yam; P L Yuen; R Yung; T Choy
Journal:  J Hosp Infect       Date:  2010-12-03       Impact factor: 3.926

3.  Airborne route and bad use of ventilation systems as non-negligible factors in SARS-CoV-2 transmission.

Authors:  G Correia; L Rodrigues; M Gameiro da Silva; T Gonçalves
Journal:  Med Hypotheses       Date:  2020-04-25       Impact factor: 1.538

Review 4.  Building science approaches for vapor intrusion studies.

Authors:  Elham Shirazi; Sweta Ojha; Kelly G Pennell
Journal:  Rev Environ Health       Date:  2019-09-25       Impact factor: 4.022

5.  Study on the initial velocity distribution of exhaled air from coughing and speaking.

Authors:  Soon-Bark Kwon; Jaehyung Park; Jaeyoun Jang; Youngmin Cho; Duck-Shin Park; Changsoo Kim; Gwi-Nam Bae; Am Jang
Journal:  Chemosphere       Date:  2012-02-18       Impact factor: 8.943

  5 in total

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