ID 原文 译文
39616 实验证明，提出的方法能够在灾害场景中模拟水淹没的动态过程，并与地形、地物要素叠加； Experiments show that the proposed method can simulate the dynamic process of water inundation in disaster scenarios and superimpose with terrain and feature elements;
39617 还原的路径、所致损失结果相比静态二维图表更加直观、简洁，整合于同一平台中则有助于整体分析。 the restored path and the loss result are more intuitive and concise than the static two-dimensional chart, and integration in the same platform facilitates the overall analysis.
39618 如何采用数学规划方法优化应急组织指派策略，提高大规模自然灾害中人力资源的利用率，减少各种损失是当前亟待解决的重要课题。 To improve the utilization of human resources in large-scale natural disasters and reduce various losses, how to use mathematical programming approach to optimize emergency organization allocation strategy is the currently urgent and critical issue.
39619 在应急组织指派优化决策框架的基础上，从任务顺序和目标数量2个维度，梳理了应急组织指派数学规划模型的研究现状； A decision framework or conceptual model for emergency organization allocation optimization is proposed. The current status of mathematical programming model for emergency organization allocation is presented from the perspective of task sequence and objective quantity.
39620 梳理了应急组织指派优化模型求解算法的进展； An overview on the exact and heuristic algorithm to solve the proposed model is conducted.
39621 总结并指出了应急组织指派优化仿真建模中亟待深入研究的问题。 Potential issues for in-depth study with respect to simulation and modeling of emergency organization allocation optimization are given.
39622 针对疫情后的复工复产复学问题，以返校复学中的疫情传播为例，进行了风险评估量化研究。 After the epidemic, taking the spread of the epidemic in returning to school as an example, a quantitative risk assessment study is conducted.
39623 以易感态个体从感染到隔离转化全过程的运动轨迹描述为线索，建立了一种适合于风险评估的流行病动力学模型。 Taking the activity trajectory description of the whole process of susceptible individuals from infection to isolation as a clue, an epidemiological model for risk assessment is established.
39624 在模型参数量化的基础上，对复学风险指标的感染人数进行了量化。 The number of infected persons in the risk indicators of returning to school is quantified based on the quantified model parameters.
39625 根据模型参数的取值特性，将感染人数作为离散型随机变量函数，通过动力学仿真计算，结合概率守恒原理给出了感染人数的概率分布，由此实现了复学风险的不确定性量化。 According to the value characteristics of the parameters, the number of infected persons is taken as a function of discrete random variables. The probability distribution of the infected population is given through dynamic simulation calculation, combined with the principle of conservation of probability, and the uncertainty quantification of the risk of returning to school is realized.