The Impact Of Ventilation On The Spread Of Respiratory Infectious Diseases Between Of Zones In A Building

Respiratory infectious diseases have caused several pandemics,which have had a significant impact on human production and life.Ventilation plays an important role in the airborne transmission and control of respiratory infections in buildings.Facing the challenge of cross-infection of infectious diseases,effective ventilation is needed to reduce the risk of infection and reinforce the defense line against pandemics in the quarantine buildings where a large number of patients or potential patients are concentrated.So a multi-zone spatial flow impact factor model is developed which can evaluate the transmission in multi-zone buildings under ventilation,and calculate the target area influence on other areas on the risk of infection.And this model is applied to Fangcang shelter hospital and quarantine hotels.The content works are as follows:Firstly,the multi-zone spatial flow impact factor(SFIF_M)model is developed by combing a natural ventilation multi-zone model(MIX:Multi-zone Infiltration and e Xfiltration)and spatial flow impact factor(SFIF)model.The model can quantify the influence relationship between different zones of a building under the impact of airflow and evaluate the spread of pathogens in the building.Compared with concentration,ventilation rate,and infection risk,SFIF_M can more intuitively show the interaction between zones,and comprehensively evaluate the ventilation in the building.Compared with the natural ventilation multi-zone models,the SFIF_M model avoids traversing infection source locations in each zone repeatedly,which reduces the computational load.Compared with the SFIF model,this model pays more attention to macro architecture.Compared with the computational fluid dynamics method,this model is faster and has a low computational cost.Secondly,the effectiveness and accuracy of the SFIF_M model are verified by the theoretical method and experiment.For a two-zone building,the accuracy of the SFIF_M model is demonstrated by theoretical derivation.The tracer gas diffusion experiment is conducted in a quarantine hotel.The experimental results are compared with the simulation results,and the model is further verified.The results show that the model can be used to characterize the influence between zones and assess the risk of pathogen transmission.Then,the SFIF_M model is applied to a Fangcang shelter hospital.And the design structure of a real Fangcang shelter hospital is evaluated and its layout is optimized.By optimizing the layout,the weighted SFIF_M of a health care worker zone in the Fangcang shelter hospital is reduced by 0.022,and the risk of infection is reduced by 14.42%.Finally,the SFIF_M model is applied to quarantine buildings such as hotels.The relationship between SFIF_M and other parameters such as ventilation volume,air distribution,layout,and the outdoor environment is analyzed.The strategies to reduce infection risk are evaluated.The results show that mechanical ventilation,natural ventilation,and human activities can affect SFIF_M.For the quarantine hotels,access to the corridors of quarantined rooms should be restricted.For the veranda hotels and atrium hotels,natural ventilation may be more beneficial than mechanical ventilation to reduce the risk of infection.The risk of cross-infection in the rectangular tower hotels and fold-line type hotels is greatly increased by wind speed.For the hotel with the inner corridor,the mechanical ventilation mode and ventilation volume in the corridor should be considered comprehensively according to the temperature difference between indoor and outdoor,and outdoor wind speed and direction.The window opening area of the corridor and rooms should be considered according to the mechanical ventilation in the corridor.This study reveals the influence of respiratory infectious pathogens on various areas of the building under the effect of airflow.The SFIF_M model could be applied to evaluate and optimize the location of infectious sources,susceptibles,mechanical ventilation,and purifiers under variable conditions.This model may be helpful in reducing the risk of infection in buildings and providing guidance for ensuring public health safety.