我国亚热带若干树种的抗火性研究

森林火灾危害森林的一大主要自然灾害,实践证明采用防火林带可以有效地控制森林火灾的发生。本文对南方的木荷、火力楠、杨梅等１１种常绿阔叶树种和杉木、马尾松两种针叶树种的叶、小枝和皮的燃烧性能及其组成成分进行了测定,结果表明,⑴各树种均以叶的抗火性能最差,阔叶树种比针叶树种的抗火性能强;⑵含水量、苯－乙醇抽取物、木质素含量和灰尘分含量是影响叶的抗火能力的主要指标。     

基于故障树分析法的舰载武器装备电子元器件及PCB的失效研究

目的 对极端海洋环境下某型舰声呐装置中的多功能信号发生器进行失效研究。方法 使用故障树分析法作为失效分析基本方法。首先通过微焦点CT检测技术对样品进行准确的失效定位,并通过扫描电子显微镜和能谱分析样品的失效机理。然后结合应用背景,分析归纳样品失效的机理因子和影响因素。最后,针对每种失效形式提出具体的改善方案。结果 由电阻本身表面形貌、额定温度及外部环境（高温、高湿、高盐）等原因,导致含有盐雾的水汽进入电阻内部,致使电阻内部出现电化学迁移现象,电阻阻值因此明显降低,最终导致多功能信号发生器出现失效。结论 舰艇中的电子设备,如多功能信号发生器的失效往往是由设计制造及各种海洋环境因素综合作用所造成的。这就要求舰载电子设备的研制方、使用方都应重视海洋环境适应性问题,并采取一定的改善措施。     

基于决策树的矿井通风阻变型故障诊断及传感器优化布置

为实现矿井通风阻变型故障智能诊断,解决风速传感器优化布置与诊断模型不匹配的问题,提出基于决策树的矿井通风故障位置分类判断、故障量回归预测及嵌入式风速传感器优化布置一体化方法;以唐安矿为例对上述方法进行验证.结果表明:矿井通风空间数据集无量纲化能提高故障诊断准确率、提升模型收敛速度,剪枝能提高模型泛化能力;以基尼系数为嵌...     

Sensor design for saltwater ingress detection in high reliable all-electric deep sea actuators

Subsea oil and gas production relies on Xmas Trees which are mounted on boreholes. Xmas Trees are an arrangement of different valve types and sizes actuated by hydraulic, electro-mechanic or all-electric actuators. All these actuators sharing problems with saltwater ingress and the re-sulting increased wear. This paper investigates potential effects which can be measured after saltwater ingress. Extensive testing is executed and the investigated effects are used for novel sensor designs. These designs are evaluated regarding certain requirements and a resulting sen-sor design is proposed for industrialization. The resulting sensor can then be used to collect new important data to support optimal maintenance in the subsea industry.     

Age and spatial distribution of the world's oldest trees

Extremely old trees have important roles in providing insights about historical climatic events and supporting cultural values, yet there has been limited work on their global distribution and conservation. We extracted information on 197,855 tree cores from 4854 sites and combined it with other tree age (e.g., the OLDLIST) data from a further 156 sites to determine the age of the world's oldest trees and quantify the factors influencing their global distribution. We found that extremely old trees >1000 years were rare. Among 30 individual trees that exceeded 2000 years old, 27 occurred in high mountains. We modeled maximum tree age with climatic, soil topographic, and anthropogenic variables, and our regression models demonstrated that elevation, human population density, soil carbon content, and mean annual temperature were key determinants of the distribution of the world's oldest trees. Specifically, our model predicted that many of the oldest trees will occur in high-elevation, cold, and arid mountains with limited human disturbance. This pattern was markedly different from that of the tallest trees, which were more likely to occur in relatively more mesic and productive locations. Global warming and expansion of human activities may induce rapid population declines of extremely old trees. New strategies, including targeted establishment of conservation reserves in remote regions, especially those in western parts of China and the United States, are required to protect these trees.