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J Cent South Univ. 2022;29(7):2415-2430. doi: 10.1007/s11771-022-5072-z. Epub 2022 Aug 24.
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本文引用的文献

1
Exhaled CO as a COVID-19 Infection Risk Proxy for Different Indoor Environments and Activities.呼出一氧化碳作为不同室内环境和活动中新冠病毒感染风险的替代指标
Environ Sci Technol Lett. 2021 Apr 5;8(5):392-397. doi: 10.1021/acs.estlett.1c00183. eCollection 2021 May 11.
2
Estimating the impact of indoor relative humidity on SARS-CoV-2 airborne transmission risk using a new modification of the Wells-Riley model.使用威尔斯-莱利模型的新修正方法估算室内相对湿度对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)空气传播风险的影响。
Build Environ. 2021 Nov;205:108278. doi: 10.1016/j.buildenv.2021.108278. Epub 2021 Aug 23.
3
Ten scientific reasons in support of airborne transmission of SARS-CoV-2.支持新冠病毒空气传播的十个科学依据。
Lancet. 2021 May 1;397(10285):1603-1605. doi: 10.1016/S0140-6736(21)00869-2. Epub 2021 Apr 15.
4
High energy efficiency ventilation to limit COVID-19 contagion in school environments.高能效通风以限制学校环境中新冠病毒的传播。
Energy Build. 2021 Jun 1;240:110882. doi: 10.1016/j.enbuild.2021.110882. Epub 2021 Mar 9.
5
Dilution-based evaluation of airborne infection risk - Thorough expansion of Wells-Riley model.基于稀释法的空气传播感染风险评估——威尔斯-莱利模型的全面扩展
Build Environ. 2021 May;194:107674. doi: 10.1016/j.buildenv.2021.107674. Epub 2021 Feb 9.
6
Assessing and controlling infection risk with Wells-Riley model and spatial flow impact factor (SFIF).使用威尔斯-莱利模型和空间流动影响因子(SFIF)评估和控制感染风险。
Sustain Cities Soc. 2021 Apr;67:102719. doi: 10.1016/j.scs.2021.102719. Epub 2021 Jan 16.
7
An estimation of airborne SARS-CoV-2 infection transmission risk in New York City nail salons.纽约市美甲沙龙中空气传播的新冠病毒感染传播风险评估。
Toxicol Ind Health. 2020 Sep;36(9):634-643. doi: 10.1177/0748233720964650. Epub 2020 Oct 21.
8
Transmission of SARS-CoV-2 by inhalation of respiratory aerosol in the Skagit Valley Chorale superspreading event.呼吸道飞沫吸入传播在 Skagit Valley 合唱团超级传播事件中引发 SARS-CoV-2 的传播。
Indoor Air. 2021 Mar;31(2):314-323. doi: 10.1111/ina.12751. Epub 2020 Oct 13.
9
Association of the infection probability of COVID-19 with ventilation rates in confined spaces.新型冠状病毒肺炎(COVID-19)感染概率与密闭空间通风率的关联
Build Simul. 2020;13(6):1321-1327. doi: 10.1007/s12273-020-0703-5. Epub 2020 Aug 4.
10
The efficacy of social distance and ventilation effectiveness in preventing COVID-19 transmission.社交距离和通风效果在预防新冠病毒传播方面的功效。
Sustain Cities Soc. 2020 Nov;62:102390. doi: 10.1016/j.scs.2020.102390. Epub 2020 Jul 13.

基于非稳态和稳态韦尔斯-莱利模型的机械通气控制策略对空气传播和建筑能耗的影响。

Impact of mechanical ventilation control strategies based on non-steady-state and steady-state Wells-Riley models on airborne transmission and building energy consumption.

作者信息

Sha Hao-Han, Zhang Xin, Qi Da-Hai

机构信息

Department of Civil and Building Engineering, Université de Sherbrooke, Sherbrooke, J1K 2R1 Canada.

出版信息

J Cent South Univ. 2022;29(7):2415-2430. doi: 10.1007/s11771-022-5072-z. Epub 2022 Aug 24.

DOI:10.1007/s11771-022-5072-z
PMID:36034192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9399565/
Abstract

Ventilation is an effective solution for improving indoor air quality and reducing airborne transmission. Buildings need sufficient ventilation to maintain a low infection risk but also need to avoid an excessive ventilation rate, which may lead to high energy consumption. The Wells-Riley (WR) model is widely used to predict infection risk and control the ventilation rate. However, few studies compared the non-steady-state (NSS) and steady-state (SS) WR models that are used for ventilation control. To fill in this research gap, this study investigates the effects of the mechanical ventilation control strategies based on NSS/SS WR models on the required ventilation rates to prevent airborne transmission and related energy consumption. The modified NSS/SS WR models were proposed by considering many parameters that were ignored before, such as the initial quantum concentration. Based on the NSS/SS WR models, two new ventilation control strategies were proposed. A real building in Canada is used as the case study. The results indicate that under a high initial quantum concentration (e.g., 0.3 q/m) and no protective measures, SS WR control underestimates the required ventilation rate. The ventilation energy consumption of NSS control is up to 2.5 times as high as that of the SS control.

摘要

通风是改善室内空气质量和减少空气传播的有效解决方案。建筑物需要足够的通风以维持较低的感染风险,但也需要避免通风率过高,这可能导致高能耗。威尔斯-莱利(WR)模型被广泛用于预测感染风险和控制通风率。然而,很少有研究比较用于通风控制的非稳态(NSS)和稳态(SS)WR模型。为了填补这一研究空白,本研究调查了基于NSS/SS WR模型的机械通风控制策略对防止空气传播所需通风率及相关能耗的影响。通过考虑许多之前被忽略的参数,如初始量子浓度,提出了改进的NSS/SS WR模型。基于NSS/SS WR模型,提出了两种新的通风控制策略。以加拿大的一栋真实建筑为例进行研究。结果表明,在高初始量子浓度(如0.3 q/m)且无防护措施的情况下,SS WR控制低估了所需通风率。NSS控制的通风能耗高达SS控制的2.5倍。