油品真实蒸汽压多元非线性回归

油品蒸气压是从事油品蒸发损耗研究、计算油品蒸发损耗量的重要参数,但是仅有美国石油学会给出的诺模图,给利用计算机来计算储罐蒸发损耗带来了很大困难.为了利用计算机来计算储罐的蒸发损耗,运用Excel中的回归功能,对原始数据进行必要的转换,进行了真实蒸气压的多元非线性回归,回归出了油品真实蒸气压计算公式.结果显示,回归的方程具有很高的精度,利用回归方程编制了计算软件,为储罐蒸发损耗计算提供帮助.     

体育馆建筑内青年学生疏散预动作时间调查和分析

通过组织火灾应急疏散逃生演习、现场问卷调查等方式,统计了体育馆内人员的疏散预动作时间,进而建立多分变量逻辑斯蒂回归模型对该统计数据进行了研究.发现:男生选择疏散预动作时间为＜30 s的可能性是女生的0.886倍,选择疏散预动作时间为30-60 s的可能性是女生的2.818倍.预测人员疏散预动作时间为＜30 s、30 -60 s、＞60s的概率,男生分别为15.45％,75.61％、8.94％,而女生分别为24.14％,39.72％、36.14％;研究结果表明:人员性别的不同对疏散预动作时间有一定的影响,在体育馆类建筑中,青少年人员疏散预动作时间基本上小于60 s.     

建筑企业员工职业病危害认知影响因素的调查分析

随着建筑行业的持续快速发展,建筑企业作业场所中的职业病危害呈现出高发性、复杂性和持续性等特点.通过针对建筑企业员工的实际状况设计调查问卷获取第一手资料,并运用SPSS17.0统计软件建立相关分析、回归分析等模型进行数据分析,可以得知建筑企业作业场所员工遭受职业病危害的可能性与对安全知识的了解程度、从业时间、性别及文化背景这四个因素的线性相关性.通过对建筑企业作业人员职业病危害的调查与分析,辨识出影响职业病危害的人为因素,提出相关的建议措施以改善建筑企业作业场所职业病危害严重的局面,提高建筑企业员工自我保护意识,增加其职业病危害防护知识,减少职业病危害事故的发生.     

A framework for allocating conservation resources among multiple threats and actions

Land managers decide how to allocate resources among multiple threats that can be addressed through multiple possible actions. Additionally, these actions vary in feasibility, effectiveness, and cost. We sought to provide a way to optimize resource allocation to address multiple threats when multiple management options are available, including mutually exclusive options. Formulating the decision as a combinatorial optimization problem, our framework takes as inputs the expected impact and cost of each threat for each action (including do nothing) and for each overall budget identifies the optimal action to take for each threat. We compared the optimal solution to an easy to calculate greedy algorithm approximation and a variety of plausible ranking schemes. We applied the framework to management of multiple introduced plant species in Australian alpine areas. We developed a model of invasion to predict the expected impact in 50 years for each species-action combination that accounted for each species’ current invasion state (absent, localized, widespread); arrival probability; spread rate; impact, if present, of each species; and management effectiveness of each species-action combination. We found that the recommended action for a threat changed with budget; there was no single optimal management action for each species; and considering more than one candidate action can substantially increase the management plan's overall efficiency. The approximate solution (solution ranked by marginal cost-effectiveness) performed well when the budget matched the cost of the prioritized actions, indicating that this approach would be effective if the budget was set as part of the prioritization process. The ranking schemes varied in performance, and achieving a close to optimal solution was not guaranteed. Global sensitivity analysis revealed a threat's expected impact and, to a lesser extent, management effectiveness were the most influential parameters, emphasizing the need to focus research and monitoring efforts on their quantification.     

以氢气为主要成分的其他可燃气体对低浓度甲烷爆炸特性的影响

为研究矿井火区中一氧化碳(CO)、氢气(H_2)、乙烯(C_2H_4)和乙烷(C_2H_6)等其他可燃气体对甲烷(CH_4)爆炸特性的影响,利用可视球形气体爆炸系统开展了多元可燃气体爆炸压力特性试验,观察并分析了峰值爆炸压力、最大爆炸压力上升速率及其相应时间。通过高速摄影系统拍摄了视窗范围内爆炸火焰传播图像,基于边缘检测方法确定了火焰前锋位置,继而得到最大火焰传播速度。分析了以氢气为主要成分的其他可燃气体对低浓度CH_4-空气混合物压力特性和火焰传播行为的影响。结果表明,多元可燃气体的存在增加了低浓度CH_4-空气混合物的爆炸危险性。随混合气体体积分数增加,低浓度CH_4-空气混合物的峰值爆炸压力、最大爆炸压力上升速率和最大火焰传播速度非线性增加;此外,到达峰值爆炸压力、最大爆炸压力上升速率的时间显著缩短。     

基于GPR-TOPSIS方法的充填配比多目标多属性优化

为获得某金矿尾砂胶结充填材料最优配比,基于试验结果,以海水比例、灰砂比和料浆质量浓度为输入参数,以充填体强度、塌落度及泌水率为输出参数,建立了充填配比与其响应量的高斯过程回归模型,分析了不同因素对充填性能的影响程度;采用遗传算法对高斯过程回归模型进行多目标参数优化,获得了Pareto非劣解,在此基础上,引入多属性决策的TOPSIS法对Pareto非劣解进行方案优选,确定了充填最优配比。研究结果表明:高斯过程回归模型相对误差值均小于6%,可靠性高;灰砂比及料浆质量浓度对充填性能影响较为显著,采用海水作为充填水源将降低充填体的强度;经优化后的充填配比与试验结果相符。     

公路隧道火灾发生位置与人群疏散通道仿真研究

利用EXODUS建立隧道的仿真场景,确定疏散人群仿真参数,并将出口工效OPS作为评价疏散效率的指标,分析不同火灾发生位置对疏散时间的影响。采用K-means算法分别对火灾发生位置和人群疏散通道位置进行聚类,并建立基于两者影响下的出口工效模型,通过对该模型求偏导,得出隧道火灾发生位置和人群疏散通道选择之间的关系。研究结果表明:火灾发生位置越接近人行横通道,疏散时间波动越大,人行横通道和隧道入口的疏散时间随人群疏散区域分界线变化,当火灾发生距人行横通道20~110 m时,变化明显,当距140~350 m时,变化平稳;出口工效OPS总体呈现不稳定的阶梯状变化趋势;火灾发生位置和人群疏散通道的最优位置呈线性递减关系。研究结果可应用于隧道应急指挥中心管理人员制定有效疏散路径和采取诱导分流人群措施。     

Regression analysis of forest inventory data with time and space dependencies

In this paper the data of a forest health inventory are analyzed. Since 1983 the degree of defoliation, together with various explanatory variables (covariates) concerning stand, site, soil and weather, are recorded by the second of the two authors, in the forest district of Rothenbuch (Spessart, Bavaria). The focus is on the space and time dependencies of the data. The mutual relationship of space-time functions and the set of covariates is evaluated. For this we use generalized linear models (GLMs) for ordinal response variables and semiparametric estimation approaches. By using goodness-of-fit measures it turns out that (i) the contribution of space-time functions is quantitatively comparable with that of the set of covariates, (ii) the contribution of space-time functions is small compared with the contribution of a set of variables describing the last-year and neighboring response values. By applying appropriate residual methods a detailed analysis of the individual sites in the area can be carried out. This analysis reveals where the predictive power of the covariates fail to explain the observed defoliation.     

一种赤腹松鼠种群数量的估计方法

赤腹松鼠剥食树皮的行为对林木危害严重,根据野外长期的观察和研究发现,赤腹松鼠在剥落树皮上遗留下来的上门齿齿印间距具有个体差异,可以用作个体识别的依据.对2003年监测样地内赤腹松鼠在剥落树皮上的齿印间距测量记录,并统计分析以估计赤腹松鼠的个体数量.结果表明:种群数量与危害率的相关系数为0.876,P=0.01,表现出很强的正相关关系;显示在较小面积内,该方法可以用来估计赤腹松鼠的个体数量.同时对该方法的基本条件和局限进行了讨论.图2表4参10