McCaffrey等估计轰燃前火灾温度方法的改进

在估计室内轰燃前火灾温度的多种方法中，McCaffrey等人提出的方法比较典型。该文根据内衬材料的热惯性对室内火灾的重要影响，在大量实验数据的基础上，对McCaffrey等人提出的这一方法进行了初步和理论上的改进；结合室内火灾的控制因素，对有机玻璃火灾的回归结果进行了进一步改进，提出了估计室内轰燃前火灾温度的新方法。     

流域地理景观生成中纹理映射技术

洪水演进仿真系统的研制是进行“数字流域”工程建设的重要研究内容,系统的研制必须利用先进的模拟仿真与可视化方法等现代计算机技术,在计算机生成的虚拟环境中,对洪水在现实河道里的推进情况以及洪水对流域内区域的淹没情况进行仿真模拟。系统的可视化以流域地形的仿真为基础,流域三维景观的生成则是洪水演进仿真系统的主要可视化需求,纹理映射技术是实现流域三维景观的重要技术手段。在分析比较计算机图形学中的几种典型纹理映射方法基础上,针对复杂流域地形貌和卫星遥感流域数据源特点,研究了相应的纹理映射算法模型。使用Visual C 系统开发语言,依据清江流域的真实数据源生成清江流域三维网格地形,并基于OpenGl技术,运用逆透视过程和非参数映射方法,实现了清江流域三维景观的真实纹理粘贴,使生成的流域景观具有真实自然的三维可视化效果。     

中国PM2.5序列惯性特征及政策含义

基于北京、成都、广州、上海、沈阳5大城市2009~2017年的小时PM_2.5质量浓度监测数据,利用AR模型、未知内生结构断点检验和TAR模型等方法实证分析了PM_2.5序列惯性特征、结构变化和放大效应.研究发现,5大城市PM_2.5序列惯性均较强,其中成都PM_2.5序列惯性最强,北京、上海和广州在2009~2017年之间发生了结构性变化.5大城市的PM_2.5序列存在明显的非线性,各大城市PM_2.5总体在低区制运行,而且惯性特征明显,但不存在明显的放大效应,这就意味着雾霾防治不需要考虑PM_2.5序列的放大效应,未来政策应当更加聚焦于低区制下PM_2.5序列惯性特征.     

微量Fe3+对过氧化氢异丙苯热稳定性影响研究

为研究微量铁离子（Fe³⁺）对过氧化氢异丙苯（CHP）热稳定性的影响,采用绝热加速量热仪（ARC）对CHP及含4种不同浓度Fe3+的CHP进行了绝热分解测试,测试分析了5个样品在绝热条件下的起始分解温度（To,s）、绝热温升（ΔTad,s）、最大温升速率（mm,s）和最大温升速率到达时间（θm,s）等参数,并利用热惰性因子Φ对实验数据进行了修正。研究结果表明:在绝热条件下,微量Fe3+的存在对CHP分解的To,s,ΔTad,s,mm,s和θm,s均有较大影响,且浓度不同对各参数的影响不一样;Fe³⁺的存在增加了CHP分解的剧烈程度,且浓度越大,CHP分解越剧烈,其热分解失控可能性越大,危险性越高;储存运输CHP时要避免与高浓度的Fe³⁺接触。研究结果可为CHP的热稳定性安全提供一定参考。     

The Effects of the Level of Alertness During the Rest Period on Subsequent Performance

The aim of this study was to examine how to take an effective rest to prevent a decline in alertness at work. The relationship between alertness during the rest period and subsequent task performance were investigated. The electroencephalogram (EEG) during the rest period was classified into 3 types, and these types had a significant effect on performance after the rest period. Type 1 (increasing in theta, alpha 2, and beta 1 power) was the best one for carrying out the task, whereas performance gradually declined in Type 3 (no change in EEG activity). In the case of Type 1, the method that would relieve sleep inertia had a more positive impact on performance after the rest period.     

1种抑制巷道信号NLOS的矿井RSSI高精度定位算法*

在RSSI（Received Signal Strength Indication）测距定位技术中,为抑制巷道信号NLOS（Non Line of Sight）传输对定位结果的影响,提出信号指纹定位和几何优化算法。在离线阶段利用高斯滤波最大值加权法和最小二乘法建立符合矿井巷道环境的无线信号测距模型,设计改进卡尔曼滤波器平滑处理离线信号值,抑制巷道信号NLOS传输带来的影响,建立离线信号指纹库;在线定位阶段,利用加权K最近邻法（WKNN）将定位目标接收到的信号值与指纹库中的信号值进行匹配,将匹配到的最优信号值参与测距定位计算,最后通过几何优化算法将定位结果归一化处理,使其符合一维定位分布。结果表明:所提算法的平均定位误差为0.9 m,相比于高斯滤波最大值加权法、经典卡尔曼滤波指纹定位算法和改进卡尔曼滤波指纹定位方法,其平均误差分别减小2.36,1.17,0.35 m。所提算法能够有效抑制巷道信号NLOS传输对RSSI测距定位的影响,可实现RSSI方法在矿井NLOS环境中的有效应用。     

Two-phase flow insights into open-channel flows with suspended particles of different densities

The effect of particle density on the turbulent open-channel flow carrying dilute particle suspensions is investigated using two specific gravities and three concentrations of solid particles. The particles, identical in size and similar in shape, were natural sand and a neutrally buoyant plastic. The particles were fully suspended, and formed no particle streaks on the channel’s bed. Accordingly, the changes in the flow are attributed to the interactions between suspended particles and flow turbulence structures. Measurements were obtained by means of image velocimetry enabling simultaneous, but distinct, measurement of liquid and particle velocities. The experimental results show that, irrespective of particle specific gravity, particle suspension influences bulk velocity of flow and the Kármán coefficient, while friction velocity essentially remains constant. The results also show that particles in suspension modify local water turbulence over the flow depth, but in ways not accurately predicted using the customary parameters for characterizing turbulence modification.     

分子碰撞与惯性分离原理在油烟净化中的应用

应用分子碰撞和惯性分离原理,对油烟烟气进行分离是一种新的油烟净化方法.阐述了该方法的净化过程、基本原理和装置的最佳条件.研究结果表明：该方法是一种新型、高效、实用的油烟净化方法,提出了进一步完善该方法的研究内容.     

一种新型直流旋风分离器的分离机理探讨

分析了一种新型直流旋风分离器的分离机理及结构特点 ,推导出了这种旋风分离器内颗粒的运动规律和被分离的临界粒径。     

Does phylogenetic inertia explain the evolution of ineffective antipredator behavior in a sunfish-salamander system?

The streamside salamander, Ambystoma barbouri, exhibits ineffective antipredator behavior (high emergence rate from refuge, and high activity while out of refuge) and thus suffers heavy predation in stream pools with sunfish. A. barbouri evolved relatively recently from an ancestor that closely resembled a sister species, A. texanum, which breeds in fishless, ephemeral ponds. Sunfish thus represent a relatively new selection pressure for A. barbouri. Phylogenetic inertia predicts that (1) A. texanum should be very poor at coping with fish and (2) because it has only recently been exposed to fish, A. barbouri should still be poor at avoiding fish, but due to its recent exposure to fish, A. barbouri should be better than A. texanum at coping with sunfish. Experimental results provided mixed support for these predictions. As predicted, A. texanum suffered heavy sunfish predation. Compared to A. texanum, A. barbouri showed a greater tendency to initiate alarm moves that enhanced escape success from fish. However, in both the presence and absence of fish, A. barbouri showed higher emergence rates from refuge and higher movement while out of refuge than A. texanum. These behaviors tend to increase exposure to sunfish, i.e., for these key behaviors, A. barbouri apparently evolved in the wrong direction as far as fish predation is concerned. Due to these offsetting effects (increased exposure to fish, increased escape success), A. barbouri is no better at surviving with sunfish than A. texanum. A possible explanation for the high activity of A. barbouri is its use of highly ephemeral habitats (relative to A. texanum) that favor the evolution of higher activity, feeding, and developmental rates for A. barbouri relative to A. texanum. Received: 15 May 2000 / Revised: 3 August 2000 / Accepted: 18 August 2000