The COVID-19 epidemic is a major public health emergency with the fastest spread, the widest range of infections, and the most difficult prevention and control since the founding of the People′s Republic of China. It has a huge impact on human society. In view of this, it is necessary to build resilient communities and improve the ability of communities to prevent and control the epidemic. Based on field surveys, this paper explains how community B carries out prevention and control work during the epidemic period, constructs an evaluation index system for the comprehensive management capacity of the B community according to the governance of the B community, and evaluates the comprehensive epidemic management capacity of the B community. According to the evaluation results, countermeasures and suggestions to improve the comprehensive management capacity of resilient communities are proposed.
为评估核事故后放射性物质大气扩散带来的安全健康风险,以福岛核事故为例进行分析.基于开发的拉格朗日-欧拉耦合模型,模拟计算放射性物质扩散和干湿沉降过程,利用预测评估系统开发大尺度放射性危险物质在大气中的扩散烟云、地面辐射剂量以及基于呼吸和肺部沉积的内照射剂量评估模型,实现了基于耦合模型的中大尺度风险评估.结果表明:福岛核事故对太平洋和东北亚地区带来了一定的辐射风险;基于耦合模型开发了中大尺度风险评估方法,并对福岛核事故进行了辐射风险评估,可为应急决策提供数据支持,为未来类似事件的风险评估提供参考.
For the vapor cloud explosion（VCE） accident scenario of the united station, the relevant evaluation factors and the threshold range of risk level are determined. The basic probability distribution（BPA） function based on cloud model is constructed. The initial BPA is corrected by the weight of credibility and information. A fusion model of improved evidence theory is established. The model is applied to the oil tank farm of a united station. The results show that:（1） The proposed BPA construction method can effectively use data.（2） The risk warning results based on single sensor data are unstable, and the results of multi-source data fusion are more representative.（3） When there is a high degree of conflict between evidences, the proposed method can reasonably process the data with a high degree of conflict, so that the final result is more reliable.
A safe and stable campus environment is the basic condition for teachers and students to study, work, and live. The research on campus safety management in universities has received extensive attention, but the current safety management mechanism still has shortcomings, such as inefficient management and insufficient departmental linkage. To address these issues, grid management is introduced into campus safety management in universities. By sorting out the institutional settings and department responsibilities and based on grid management, the construction method of the three-level grid campus safety management team is proposed, the model of the four-stage grid campus safety management is constructed, and the information platform for grid campus safety management based on big data is presented. The campus safety management in universities based on grid management can effectively improve the efficiency and early warning capabilities of the safety management, and realize refined safety management.
In order to study the environmental adaptability of the fire fighting clothing, this paper analyzes the factors affecting the fire fighting clothing from three perspectives of completeness, functionality and support, and establishes the evaluation system of the environmental adaptability of the fire fighting clothing under high and low temperature conditions. And the AHP-fuzzy comprehensive evaluation method is applied to the high and low temperature environmental adaptability evaluation of fire fighting clothing, the score of environmental adaptability evaluation of fire fighting clothing was 67.664, belonging to "good" grade. The results can directly reflect the environmental adaptability of fire fighting clothing, and the results show that the AHP-fuzzy comprehensive evaluation method is scientific, rational and available in the comprehensive evaluation of environmental adaptability of fire fighting clothing.
