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| DOI | 10.1016/j.atmosenv.2020.118155 |
| Air contamination inside an actual operating room due to ultrafine particles: An experimental-numerical thermo-fluid dynamic study | |
| Massarotti N.; Mauro A.; Mohamed S.; Romano M.R. | |
| 发表日期 | 2021 |
| ISSN | 1352-2310 |
| 卷号 | 249 |
| 英文摘要 | Hospital Operating Rooms (ORs) are working spaces which demand an utmost clean air environment for enhancing both the safety and the comfort conditions of medical staff and patients, in order to reduce the risk of post-operative complications. In this context, an integrated experimental-numerical thermo-fluid dynamic study has been carried out in the present work, to investigate air contamination due to UltraFine Particles (UFPs) inside an actual, but unoccupied, OR, equipped with a laminar air flow system, located near Milan in Northern Italy. The UFPs considered in the present study are geometrically representative of surgical smoke and SARS-CoV, SARS-CoV-2 (COVID-19) virus particles. The flow and thermal fields in the OR have been calculated by using the Realizable k-ε turbulence model. A transient passive scalar species transport equation, based on the drift flux model, has been implemented along with the particle deposition boundary conditions at the OR walls, to analyze the UFPs concentration within the OR. The numerical model has been used, after validation against experimental data, to reproduce the quantities of interest in the OR. Moreover, type A and type B uncertainties have been associated to the experimental measurements. The velocity and temperature fields in the OR, obtained from both the numerical and experimental analysis, are compliant to the technical standards. A good agreement is observed between experimental and numerical results, in terms of velocity, temperature and UFPs concentration. A time of 19 min to completely evacuate UFPs from the OR has been obtained from both experimental and numerical analysis, with a deviation smaller than 2% between the results. © 2020 Elsevier Ltd |
| 关键词 | Air contaminationComputational Fluid Dynamics (CFD)CoronavirusCOVID-19Operating roomUltrafine particles concentration |
| 语种 | 英语 |
| scopus关键词 | Diseases; Operating rooms; Smoke; Turbulence models; Uncertainty analysis; Viruses; Experimental and numerical analysis; K-epsilon turbulence model; Numerical and experimental analysis; Particle depositions; Quantities of interests; Technical standards; Thermo-fluid dynamics; Velocity and temperature fields; Air; atmospheric pollution; COVID-19; experimental study; health risk; numerical model; particulate matter; pollutant transport; air pollution; air temperature; Article; atmospheric deposition; atmospheric pressure; computational fluid dynamics; concentration (parameter); coronavirus disease 2019; Italy; laminar airflow; mathematical model; nonhuman; priority journal; SARS coronavirus; Severe acute respiratory syndrome coronavirus 2; surgical smoke; ultrafine particulate matter; velocity; virus particle; Italy; Lombardy; Milan [Milano]; Milano [Lombardy]; Coronavirus; SARS coronavirus |
| 来源期刊 | ATMOSPHERIC ENVIRONMENT
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248551 |
| 作者单位 | Dipartimento di Ingegneria, Università degli Studi di Napoli “Parthenope”, Centro Direzionale, Isola C4, Napoli, 80143, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, Milano, 20090, Italy; Eye Center, Humanitas, Via Gavazzeni 21, Bergamo, 24125, Italy |
| 推荐引用方式 GB/T 7714 | Massarotti N.,Mauro A.,Mohamed S.,et al. Air contamination inside an actual operating room due to ultrafine particles: An experimental-numerical thermo-fluid dynamic study[J],2021,249. |
| APA | Massarotti N.,Mauro A.,Mohamed S.,&Romano M.R..(2021).Air contamination inside an actual operating room due to ultrafine particles: An experimental-numerical thermo-fluid dynamic study.ATMOSPHERIC ENVIRONMENT,249. |
| MLA | Massarotti N.,et al."Air contamination inside an actual operating room due to ultrafine particles: An experimental-numerical thermo-fluid dynamic study".ATMOSPHERIC ENVIRONMENT 249(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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