基于计划行为理论的矿工违章行为研究

矿工违章行为是诱发煤矿重大事故的关键因素之一,以计划行为理论(TPB)为构架,加入过去行为和风险倾向2个变量,提出矿工违章行为影响因素之间的假设关系。通过问卷调查并运用结构方程模型(SEM)探讨违章行为影响因素之间的关系。结果表明:行为态度、主观规范、行为控制认知、风险倾向这4个变量对违章行为均有显著影响,主观规范和过去行为通过行为态度这一中介变量又间接地影响违章行为。实证研究结果表明,TPB模型在解释矿工违章行为问题上的适用性。     

基于结构方程模型的安全生产行政执法绩效分析

为加强对企业安全生产的监督和完善行政执法的评估体系,构建了企业安全生产行政执法绩效评估指标体系。利用调查问卷的方式,获得行政执法部门的绩效评价数据。根据结构方程模型(SEM)相关原理设计绩效评价的测量模型,通过AMOS17.0软件对评价体系进行分析,得到各指标的标准化估计值。利用标准化估计值分析各潜变量对企业安全生产执法的影响权重,各观察变量对企业安全生产执法的影响权重,并进行排序,结果显示:行政执法的合法性>执法人员的素质>执法的合理性>执法的文明性>执法的公开性。     

New approach to calculate the probability of ignition

The probabilistic approach to the evaluation of fire hazard and the effectiveness of fire-precaution measures enables a rational response to the randomness of fire outbreaks. This article employs the statistical analysis methods to elucidate the causes for the ignition of fire on a random sample of industrial buildings in the Republic of Slovenia. The analyses are based on the Structural Equation Modeling (SEM), which is a well established and important statistical analysis technique in the fields of social science, biology, psychology and medicine, but hitherto rarely applied in safety research. The results of the study demonstrate that for the analyzed random sample of industrial buildings the frequency of fire outbreaks statistically significantly depends only on the presence and the probability of exposure to the heat sources (flames, sparks, and hot surfaces), but does not significantly depend on the available quantity of flammable materials within the industrial structure.     

基于重要抽样法的耐压球壳可靠性计算方法研究

目的 解决耐压球壳极小失效概率的可靠性计算问题。方法 在自适应Kriging的基础上,结合重要抽样法提出耐压球壳可靠性计算方法。该方法在较大失效概率下构建的Kriging模型基础上获得重要方向,在重要方向上计算得到较低失效概率下的设计点,以设计点为中心,构建小失效概率的Kriging模型,并通过此模型采用重要抽样法开展可靠性计算。结果 分别使用提出的重要抽样法和蒙特卡洛法计算了2个算例的失效概率,计算结果表明,该方法具有较高的精度和效率。使用该方法对某耐压球壳工作载荷下的失效概率进行了计算,计算得到该球壳失效概率为4.094×10^–96。结论 研究结果可为无失效方程下极低失效概率的可靠性计算问题提供参考。     

城市公园的冷岛效应研究——以常州市为例

在长江三角洲地区快速城市化的常州市内研究公园组成与冷岛效应的量化关系.基于Landsat 8TIRS和天地图高分辨率遥感影像提取公园指标以及冷岛效应指标.使用辐射传输方程法反演研究区的地表温度,使用ArcGIS的缓冲区分析和分段回归的方法研究每个公园的地表温度、降温范围和降温幅度作为冷岛效应指标;提取公园的周长、面积,并计算融合指数作为公园组成指标,在天地图高清遥感影像中提取公园的绿地覆盖率、水体覆盖率、不透水面覆盖率以及乔木覆盖率作为公园地表覆盖指标.通过相关性分析和回归模型研究,发现公园的面积为26hm²、周长阈值为3600m,公园的面积和周长在阈值范围内能够发挥较强的降温效率,超过阈值则降温效率下降.公园的融合指数与冷岛效应呈线性相关关系,融合指数较小的公园能获得较大的降温幅度.公园的乔木覆盖率、水体覆盖率与公园内部的地表温度呈显著相关关系,不透水面覆盖率、绿地覆盖率与公园内部的地表温度相关性不显著.公园规划设计需要结合公园的面积、周长阈值,融合指数的数值以及乔木、水体的覆盖率,充分发挥公园的冷岛效应.     

南水北调大型渡槽结构抗震安全性研究

阐述了南水北调中大型渡槽的抗震问题,分别介绍了基于常微分方程求解器(ODE)和有限元方法的大型渡槽动力计算模型、动力特性分析和设置铅芯橡胶支座(LRB)的隔震分析。研究表明,基于ODE求解器的解析和半解析方法有很好的精度和可靠性,可用于大型渡槽的初步设计。结合所得的研究成果,对南水北调的渡槽抗震提出了合理化建议。     

Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition

An important consideration in conservation and biodiversity planning is an appreciation of the condition or integrity of ecosystems. In this study, we have applied various machine learning methods to the problem of predicting the condition or quality of the remnant indigenous vegetation across an extensive area of south-eastern Australia—the state of Victoria. The field data were obtained using the ‘habitat hectares’ approach. This rapid assessment technique produces multiple scores that describe the condition of various attributes of the vegetation at a given site. Multiple sites were assessed and subsequently circumscribed with GIS and remote-sensed data.     

液/固相单一离子吸附体系的动力学预测模型

对四种液/固相单一离子吸附体系的动力学研究结果表明:吸附速率不仅随时间变化,也与起始离子浓度(C0)和吸附剂浓度(W0)有关;Lagergren准二级方程在给定的起始离子浓度及吸附剂浓度下具有很高的模拟精确度,但其参数随起始离子浓度和吸附剂浓度的变化而变化,且无法确定其间的函数关系;结合四组分离子吸附模型,提出了新的动力学方程,实验结果表明,新方程具有较高的模拟精确度,其参数与C0和W0具有相对稳定的函数关系,可作为液/同相单一离子吸附体系中给定C0,W0条件下吸附动力学过程的预测模型.     

Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach

Decision tree models were developed to investigate and predict the relative abundance of three key pasture plants [ryegrass (Lolium perenne), browntop (Agrostis capillaris), and white clover (Trifolium repens)] with integration of a geographical information system (GIS) in a naturalised hill-pasture in the North Island, New Zealand, and were compared with regression models with respect to model fit and predictive accuracy. The results indicated that the decision tree models had a better model fit in terms of average squared error (ASE) and a higher percentage of adequately predicted cases in model validation than the corresponding regression models. These decision tree models clearly revealed the relative importance of environmental and management variables in influencing the abundance of these three species. Hill slope was the most significant environmental factor influencing the abundance of ryegrass while soil Olsen P and annual P fertilizer input were the most significant factors influencing the abundance of browntop, and white clover, respectively. Soil Olsen P of approximately 10 μg/g, or a slope of about 10.5° was critical points where the competition between ryegrass and browntop tended to come to an equilibrium. Integrating the decision tree models with a GIS in this study not only facilitated the model development and analyses, but also provided a useful decision support tool in pasture management such as in assisting precision fertilizer placement. The insights obtained from the decision tree models also have important implications for pasture management, for example, it is important to maintain a soil Olsen P higher than 10 μg/g in order to keep the dominance of ryegrass in the hill-pasture.     

事件概率计算机中的一个恒等式

本文提出了一个恒等式,并讨论了它的应用。实践证明,该恒等式可作为一个公式,且非常实用。