Passenger management strategy and evacuation in subway station under Covid-19

Under the background of Covid-19 sweeping the world, safe and reasonable passenger flow management strategy in subway stations is an effective means to prevent the spread of virus. Based on the social force model and the minimum cost model, the movement and path selection behavior of passengers in the subway station are modeled, and a strategy for passenger flow management to maintain a safe social distance is put forward. Take Qingdao Jinggangshan Road subway station of China as the simulation scene, the validity of the simulation model is verified by comparing the measured value and simulation value of the time required for passengers from getting off the train to the ticket gate. Simulation results indicate that controlling the time interval between incoming passengers at the entrance can effectively control the social distance between passengers and reduce the risk of epidemic infection. By comparing the evacuation process of passengers under different initial densities, it is found that the greater the initial density of passengers is, the longer the passengers are at risk social distance. In the process of passenger emergency evacuation, the stairs/escalators and ticket gates are bottleneck areas with high concentration of passenger density, which should be strictly disinfected many times on the basis of strictly checking the health code of incoming passengers and controlling the arrival time interval. The simulation results of this paper verify the harmfulness of passenger emergency evacuation without protective measures, and provide theoretical support for the operation and management of subway station under the epidemic situation.     

师专分析化学实验课程改革的探索与实践

本文从师专分析化学实验教学的现状 ,提出了优化课程结构 ,精选实验内容 ,改进教学方法 ,规范操作训练和严格考核制度等改革措施。并简要介绍了实验教学改革的实践效果     

褪色光度法测定SO_3~(2-)的研究

本文研究了ＳＯ２－３褪色碱蓝６Ｂ的反应，在ｐＨ５．２ＨＡｃ－ＮａＡｃ缓冲介质中，ＳＯ２－３浓度在０．３９～１２ｍｇ／Ｌ范围内符合比尔定律，仅Ｆｅ３＋、Ｎｉ２＋、Ｃｒ３＋干扰测定，用于食品中ＳＯ２－３的测定，结果令人满意。     

一种可视化液体传感阵列农药检测新方法

以筛选出的7种染料与合成的纳米金共同构建了液体传感器阵列,每个敏感点对不同农药样品产生不同的响应光谱,通过酶标仪采集光谱数据,结合主成分分析(PCA)、分层聚类分析(HCA)、判别分析(LDA)等模式识别方法建立了一种快速检测有机磷、氨基甲酸酯、有机氯、拟除虫菊酯类农药残留的新方法。PCA结果表明,前三个主成分反映了总信息量的92.69%,且能够对5种农药进行区分;HCA结果表明,对25个样品能够正确的归类;LDA结果表明,对5种农药识别的准确率达100%。表明这种可视化的液体阵列可为农药残留检测提供一个可靠平台,在农药残留检测中具有潜在的应用价值。     

流动注射示差动力学化学发光法测定微量硅

根据硅钼杂多酸氧化Ｌｕｍｉｎｏｌ产生化学发光的性质，以及硅钼杂多酸与磷钼杂多酸形成速度的差异，采用停流技术，在硅磷共存时，不经分离，实现了对和钢样中硅的选择性测定。该法检出限为２．０×１０＾－８ｇ／ｍＬ，线性范围１．０×１０＾－７－１．０×１０＾－５ｇ／ｍＬ，相对标准偏差为２．８％。     

流动注射速差动力学化学发光分析Ⅱ微量磷的快速测定

本文根据磷钼杂多酸可直接氧化Ｌｕｍｉｎｏｌ产生化学发光的特性，建立了磷的流动注射化学发光分析方法。利用磷钼杂多酸、硅钼杂多酸、砷钼杂多酸形成速率的差异，在磷、硅、砷共存时，可不经任何分离，实现对水样和钢样中磷的快速测定。该法检出限为３．６×１０－５ｇ／Ｌ，线性范围２．０×１０－４～１．０×１０－２ｇ／Ｌ，相对标准偏差为１．８％（磷浓度１．０×１０－３ｇ／Ｌ；ｎ＝１１次）。采样频率４５样／ｈ。