湿度传感器在防护性能检测中动态湿度的测量方法

1引言 防护装备在核、生、化环境下起着防放射性灰尘、防生物细菌和防化学毒剂的作用。防护装备的防护性能检测准确与否。直接影响着防护装备产品的质量乃至使用者的生命安全。防护装备的防护性能受湿度的影响很大,以前,在防护装备的防护性能检测过程中是利用干、湿球温度计来检测测试管路中的湿度。     

粒子群优化的RBF瓦斯涌出量预测

瓦斯涌出量是煤矿瓦斯灾害的主要来源,它直接影响煤矿安全生产和经济技术指标。瓦斯涌出量的传统预测方法是将其影响因素线性化后提出的,具有一定的局限性。本文基于群体智能理论,提出了一种基于粒子群算法优化的RBF神经网络瓦斯涌出量预测模型。研究表明RBF神经网络预测精度与网络权值和RBF参数初始值有很大关系,因此本文采用粒子群算法优化RBF网络权值和其他参数,形成PSO-RBF预测模型。该模型通过计算种群粒子的适应度,确定全局最优值,寻找网络参数的最优值。实验结果表明PSO-RBF优于传统的RBF预测模型,训练速度和预测精度显著提高。     

由一起厂内机动车事故引发的思考

本文对一起叉车安全事故的直接原因进行分析,并分别讨论了叉车本身缺陷导致事故发生的可能性、驾驶人员自身的不规范操作,以及使用单位在制度建设及实施方面存在的缺陷.     

基于PSFR模型的河北省滦河流域生态安全评估

基于PSFR(压力-状态-功能-风险)模型,选取16个分项指标、34个评估指标,建立了4层次指标体系,兼顾流域的整体性与差异性,根据环境特点及功能分区将河北省滦河流域划分为6个评估单元展开生态安全评估。结果表明:整个流域的生态安全水平位于三级到二级之间;潘大水库上游评估单元刚刚达到二级较安全水平;引滦入津、大黑汀下游和青龙河秦皇岛评估单元属于临近二级的三级水平;冀东沿海的秦皇岛和唐山评估单元生态安全指数较低,但均大于50,属于三级一般水平。研究表明,水资源过度开发是各评估单元共有的不安全因素,面源污染严重和生态风险较高也是造成流域生态安全指数不高的重要原因。     

基于VOSviewer的国内应急管理研究可视化分析

为更好地了解我国应急管理领域的研究动态,从中国知网CNKI收集4264篇文献进行文献计量学统计,对应急管理领域的发展阶段、文献年发表量、期刊来源以及合作网络进行分析,并应用文献计量学可视化软件VOSviewer绘制作者以及关键词的知识图谱。研究表明,我国应急管理领域研究经历了平稳期、快速增长期、爆发式增长期3个阶段;作者及发文机构之间的合作较为分散,尚未形成较大的核心作者群,机构合作主要分布在南京大学、清华大学、暨南大学和国家行政学院等高校;未来研究可能在应急管理体系、应急管理体制、自然灾害和公共卫生事件等方面呈现多元化、精细化以及科技化趋势。     

烟草行业的火灾特点及其监测方法的讨论

烟厂是火灾危险性较大的部门，加强其火灾的早期探测报警是防止火灾发生、减少火灾损失的重要方面。本文对烟厂中各主要生产环节的火灾特点作了分析，指出应针对各部分的特殊性采取适当的火灾探测方法并对现在常用的一些火灾探测技术在烟厂中的适用性作了讨论，认为现有的光束式火灾探测器较适用于内部空间较大的烟厂仓库和厂房。对安装了电视监控系统的企业，建议将其与计算机图象分析技术相结合，增加其防火监视功能。     

改性纤维球在油田污水处理中的应用

纤维球过滤可充分发挥出滤料深层的截污能力。介绍了改性纤维球滤料的技术要求,在使用过程中主要存在的几个问题,改性纤维球过滤器的结构及特点,在油田污水处理中的现场应用情况。试验证明,经50%互溶剂+2%表面活性剂+2%烧碱清洗后,改性纤维球滤料颜色变为灰白,纤维之间松散,不存在粘结现象,清洗较为彻底。     

郫县灰潮田有效硅含量和小麦施硅效应初探

通过同田对比试验，本文对郫县水稻土小麦施用硅肥进行了初步研究．结果表明，小麦施硅获得了增产效果；施硅对小麦穗粒数、株高和基部节间体积等具有生长效应；郫县水稻土有效硅含量为１２７±３９ｍｇ·ｋｇ－１（ｎ＝１２），变异较大，与土壤粘粒（＜０．００１ｍｍ）呈极显著正相关（ｒ＝０．７９）；发育于第四系岷江灰色冲积母质的郫县水稻上，粘粘含量普遍较低，因此，郫县小麦施硅具有较大增产潜力．     

System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts

Accurate prediction of municipal water demand is critically important to water utilities in fast-growing urban regions for drinking water system planning, design, and water utility asset management. Achieving the desired prediction accuracy is challenging, however, because the forecasting model must simultaneously consider a variety of factors associated with climate changes, economic development, population growth and migration, and even consumer behavioral patterns. Traditional forecasting models such as multivariate regression and time series analysis, as well as advanced modeling techniques (e.g., expert systems and artificial neural networks), are often applied for either short- or long-term water demand projections, yet few can adequately manage the dynamics of a water supply system because of the limitations in modeling structures. Potential challenges also arise from a lack of long and continuous historical records of water demand and its dependent variables. The objectives of this study were to (1) thoroughly review water demand forecasting models over the past five decades, and (2) propose a new system dynamics model to reflect the intrinsic relationship between water demand and macroeconomic environment using out-of-sample estimation for long-term municipal water demand forecasts in a fast-growing urban region. This system dynamics model is based on a coupled modeling structure that takes into account the interactions among economic and social dimensions, offering a realistic platform for practical use. Practical implementation of this water demand forecasting tool was assessed by using a case study under the most recent alternate fluctuations of economic boom and downturn environments.     

Growth factors, kinetics and biodegradation mechanism associated with Pseudomonas nitroreducens TX1 grown on octylphenol polyethoxylates

The growth properties and biodegradation mechanism of a Gram-negative bacterium, Pseudomonas nitroreducens TX1 that was able to grow on branched octylphenol polyethoxylates (OPEO(n), average n=9.5) as the sole carbon source over a wide concentration range (1-100,000 mgl(-1)) were studied. Analysis of growth factors indicated the highest specific growth rate (micro) of 0.53 h(-1) was obtained at an initial concentration of 5,000 mgl(-1) OPEO(n). An optimal C/N ratio of 12 was obtained for (NH(4))(2)SO(4) as the nitrogen source in a cultivated medium at pH 7. The kinetic analysis demonstrated that bacterial growth and OPEO(n) degradation followed the Monod equation and were based on a substrate concentration inhibition model and pseudo-first-order reaction, respectively. The substrate inhibition coefficient was over 18,000 mgl(-1) and this indicates that the strain has an ability to sustain growth at high concentrations of OPEO(n) and use it as the sole carbon source under such a stress condition. Furthermore, LC-MS analysis showed that the biodegradation mechanism of dodecyl octaethoxylate (AEO8) by P. nitroreducens TX1 was the sequential cleavage of the ethoxylate chain.