TY - JOUR
T1 - Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
AU - Carlot Zorzi, Carla Gabriela
AU - Neckel, Alcindo
AU - Stolfo Maculan, Laércio
AU - Tibério Cardoso, Grace
AU - Dal Moro, Leila
AU - Almeida Del Savio, Alexandre
AU - Oliveira, Marcos
AU - Thaines Bodah, Eliane
AU - Bodah, Brian William
N1 - Funding Information:
We thank the Guest Editor and two anonymous referees for their constructive comments and suggestions which improved this paper. The authors wish to extend their thanks to the research productivity grant from Funda??o Meridional - IMED. We also wish to thank the Center for Studies and Research on Urban Mobility (NEPMOUR / IMED). National Council for Scientific and Technological Development (CNPq) for the research productivity ball in Brazil (Process number: 313040/2020-6).
Funding Information:
We thank the Guest Editor and two anonymous referees for their constructive comments and suggestions which improved this paper. The authors wish to extend their thanks to the research productivity grant from Fundação Meridional - IMED. We also wish to thank the Center for Studies and Research on Urban Mobility (NEPMOUR / IMED). National Council for Scientific and Technological Development ( CNPq ) for the research productivity ball in Brazil (Process number: 313040/2020-6).
Publisher Copyright:
© 2021 China University of Geosciences (Beijing) and Peking University
PY - 2021/8/1
Y1 - 2021/8/1
N2 - The novel coronavirus, SARS-CoV-2, has the potential to cause natural ventilation systems in hospital environments to be rendered inadequate, not only for workers but also for people who transit through these environments even for a limited duration. Studies in of the fields of geosciences and engineering, when combined with appropriate technologies, allow for the possibility of reducing the impacts of the SARS-CoV-2 virus in the environment, including those of hospitals which are critical centers for healthcare. In this work, we build parametric 3D models to assess the possible circulation of the SARS-CoV-2 virus in the natural ventilation system of a hospital built to care infected patients during the COVID-19 pandemic. Building Information Modeling (BIM) was performed, generating 3D models of hospital environments utilizing Revit software for Autodesk CFD 2021. The evaluation considered dimensional analyses of 0°, 45°, 90° and 180°. The analysis of natural ventilation patterns on both internal and external surfaces and the distribution of windows in relation to the displacement dynamics of the SARS-CoV-2 virus through the air were considered. The results showed that in the external area of the hospital, the wind speed reached velocities up to 2.1 m/s when entering the building through open windows. In contact with the furniture, this value decreased to 0.78 m/s. In some internal isolation wards that house patients with COVID-19, areas that should be equipped with negative room pressure, air velocity was null. Our study provides insights into the possibility of SARS-CoV-2 contamination in internal hospital environments as well as external areas surrounding hospitals, both of which encounter high pedestrian traffic in cities worldwide.
AB - The novel coronavirus, SARS-CoV-2, has the potential to cause natural ventilation systems in hospital environments to be rendered inadequate, not only for workers but also for people who transit through these environments even for a limited duration. Studies in of the fields of geosciences and engineering, when combined with appropriate technologies, allow for the possibility of reducing the impacts of the SARS-CoV-2 virus in the environment, including those of hospitals which are critical centers for healthcare. In this work, we build parametric 3D models to assess the possible circulation of the SARS-CoV-2 virus in the natural ventilation system of a hospital built to care infected patients during the COVID-19 pandemic. Building Information Modeling (BIM) was performed, generating 3D models of hospital environments utilizing Revit software for Autodesk CFD 2021. The evaluation considered dimensional analyses of 0°, 45°, 90° and 180°. The analysis of natural ventilation patterns on both internal and external surfaces and the distribution of windows in relation to the displacement dynamics of the SARS-CoV-2 virus through the air were considered. The results showed that in the external area of the hospital, the wind speed reached velocities up to 2.1 m/s when entering the building through open windows. In contact with the furniture, this value decreased to 0.78 m/s. In some internal isolation wards that house patients with COVID-19, areas that should be equipped with negative room pressure, air velocity was null. Our study provides insights into the possibility of SARS-CoV-2 contamination in internal hospital environments as well as external areas surrounding hospitals, both of which encounter high pedestrian traffic in cities worldwide.
KW - COVID-19 global epidemic
KW - Contamination
KW - Dimensional analysis
KW - Hospital environment
KW - Wind velocity
UR - http://dx.doi.org/10.1016/j.gsf.2021.101279
UR - http://www.scopus.com/inward/record.url?scp=85113610736&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/be006a0a-da5c-3bbe-9966-5f6b8f1182ae/
U2 - 10.1016/j.gsf.2021.101279
DO - 10.1016/j.gsf.2021.101279
M3 - Artículo (Contribución a Revista)
SN - 1674-9871
JO - Geoscience Frontiers
JF - Geoscience Frontiers
M1 - 101279
ER -