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Temporal-spatial risk assessment of COVID-19 under the influence of urban spatial environmental parameters: The case of Shenyang city

机译:城市空间环境参数影响下COVID-19的时空风险评估——以沈阳市为例

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Respiratory infection is the main route for the transmission of coronavirus pneumonia, and the results have shown that the urban spatial environment significantly influences the risk of infection. Based on the Wells-Riley model of respiratory infection probability, the study determined the human respiratory-related parameters and the effective influence range; extracted urban morphological parameters, assessed the ventilation effects of different spatial environments, and, combined with population flow monitoring data, constructed a method for assessing the risk of Covid-19 respiratory infection in urban-scale grid cells. In the empirical study in Shenyang city, a severe cold region, urban morphological parameters, population size, background wind speed, and individual behavior patterns were used to calculate the distribution characteristics of temporal and spatial concomitant risks in urban areas grids under different scenarios. The results showed that the correlation between the risk of respiratory infection in urban public spaces and the above variables was significant. The exposure time had the greatest degree of influence on the probability of respiratory infection risk among the variables. At the same time, the change in human body spacing beyond 1 m had a minor influence on the risk of infection. Among the urban morphological parameters, building height had the highest correlation with the risk of infection, while building density had the lowest correlation. The actual point distribution of the epidemic in Shenyang from March to April 2022 was used to verify the evaluation results. The overlap rate between medium or higher risk areas and actual cases was 78.55. The planning strategies for epidemic prevention and control were proposed for the spatial differentiation characteristics of different risk elements. The research results can accurately classify the risk level of urban space and provide a scientific basis for the planning response of epidemic prevention and control and the safety of public activities.
机译:呼吸道感染是冠状病毒肺炎的主要传播途径,结果表明,城市空间环境对感染风险有显著影响。基于Wells-Riley呼吸道感染概率模型,确定了人体呼吸道相关参数和有效影响范围;提取城市形态参数,评估不同空间环境的通风效果,结合人口流动监测数据,构建了城市尺度网格单元中Covid-19呼吸道感染风险的评估方法。在沈阳市的实证研究中,以沈阳市为重寒区,利用城市形态参数、人口规模、背景风速和个体行为模式,计算了不同情景下城市网格中时空伴随风险的分布特征。结果表明,城市公共场所呼吸道感染风险与上述变量的相关性显著。暴露时间对变量中呼吸道感染风险概率的影响最大。同时,人体间距超过1 m的变化对感染风险的影响较小。在城市形态参数中,建筑高度与感染风险的相关性最高,建筑密度的相关性最低。采用2022年3—4月沈阳市疫情实际点分布情况,对评价结果进行验证。中高风险地区与实际病例重叠率为78.55%。针对不同风险要素的空间分异特征,提出了疫情防控规划策略。研究结果能够准确分类城市空间风险等级,为疫情防控规划应对和公共活动安全提供科学依据。

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