Occupational risk assessment in the construction industry in Iran

Occupational accidents in the construction industry are more common compared with other fields and these accidents are more severe compared with the global average in developing countries, especially in Iran. Studies which lead to the source of these accidents and suggest solutions for them are therefore valuable. In this study a combination of the failure mode and effects analysis method and fuzzy theory is used as a semi-qualitative–quantitative method for analyzing risks and failure modes. The main causes of occupational accidents in this field were identified and analyzed based on three factors; severity, detection and occurrence. Based on whether the risks are high or low priority, modifying actions were suggested to reduce the occupational risks. Finally, the results showed that high priority risks had a 40% decrease due to these actions.     

基于强度理论及虚拟仿真相结合的行星减速机构可靠性分析

基于破煤理论建立了采煤机的力学模型,采用ADAMS建立采煤机刚柔耦合模型,并解决了边界条件添加、接触法向力提取等技术问题,分析了行星轴、架的可靠性;基于行星减速机构强度校核基本原理,开发了行星齿轮强度校核软件,以虚拟仿真中的动态接触法向力为输入,对某公司两种行星减速机构设计方案中各齿轮的接触应力和弯曲应力进行研究。该方法解决了传统分析中齿轮受力无法确定以及采用有限元软件无法求解齿根弯曲应力、求解接触应力时间过长的不足。结果表明:二级行星减速机构采用4行星轮结构要优于采用3行星轮方案,传动更稳定、可靠。     

江苏镇江地区聚落体系的空间集聚性多级分形特征

为定量研究市域尺度上的聚落体系的分形特征,以ArcGIS9.3软件为平台,选取江苏镇江地区团聚状聚落体系为研究对象,通过计算豪斯道夫维数分析了聚落体系规模分布的分形特征,通过计算关联维数和集聚维数,从聚落要素的空间相关性和聚落随机集聚的向心性两方面,分析了聚落体系空间结构的分形特征,对聚落体系的空间集聚性的多级分形特征作了重点探讨。结果表明：镇江地区团聚状聚落体系在规模分布和空间结构上都具有比较明显的分形特征,表现出自相似结构;镇江地区团聚状聚落体系的空间集聚性存在多级分形的特征,中心村的空间集聚能力强于城市和镇;地形和聚落体系的发育程度是影响聚落体系的空间集聚性主要原因。因此,在以后的工作中可以利用分形思想进行聚落体系规划,有效地利用地理空间资源     

A typology of time‐scale mismatches and behavioral interventions to diagnose and solve conservation problems

Ecological systems often operate on time scales significantly longer or shorter than the time scales typical of human decision making, which causes substantial difficulty for conservation and management in socioecological systems. For example, invasive species may move faster than humans can diagnose problems and initiate solutions, and climate systems may exhibit long‐term inertia and short‐term fluctuations that obscure learning about the efficacy of management efforts in many ecological systems. We adopted a management‐decision framework that distinguishes decision makers within public institutions from individual actors within the social system, calls attention to the ways socioecological systems respond to decision makers’ actions, and notes institutional learning that accrues from observing these responses. We used this framework, along with insights from bedeviling conservation problems, to create a typology that identifies problematic time‐scale mismatches occurring between individual decision makers in public institutions and between individual actors in the social or ecological system. We also considered solutions that involve modifying human perception and behavior at the individual level as a means of resolving these problematic mismatches. The potential solutions are derived from the behavioral economics and psychology literature on temporal challenges in decision making, such as the human tendency to discount future outcomes at irrationally high rates. These solutions range from framing environmental decisions to enhance the salience of long‐term consequences, to using structured decision processes that make time scales of actions and consequences more explicit, to structural solutions aimed at altering the consequences of short‐sighted behavior to make it less appealing. Additional application of these tools and long‐term evaluation measures that assess not just behavioral changes but also associated changes in ecological systems are needed.     

Determining Decision Thresholds and Evaluating Indicators when Conservation Status is Measured as a Continuum

Categorization of the status of populations, species, and ecosystems underpins most conservation activities. Status is often based on how a system's current indicator value (e.g., change in abundance) relates to some threshold of conservation concern. Receiver operating characteristic (ROC) curves can be used to quantify the statistical reliability of indicators of conservation status and evaluate trade‐offs between correct (true positive) and incorrect (false positive) classifications across a range of decision thresholds. However, ROC curves assume a discrete, binary relationship between an indicator and the conservation status it is meant to track, which is a simplification of the more realistic continuum of conservation status, and may limit the applicability of ROC curves in conservation science. We describe a modified ROC curve that treats conservation status as a continuum rather than a discrete state. We explored the influence of this continuum and typical sources of variation in abundance that can lead to classification errors (i.e., random variation and measurement error) on the true and false positive rates corresponding to varying decision thresholds and the reliability of change in abundance as an indicator of conservation status, respectively. We applied our modified ROC approach to an indicator of endangerment in Pacific salmon (Oncorhynchus nerka) (i.e., percent decline in geometric mean abundance) and an indicator of marine ecosystem structure and function (i.e., detritivore biomass). Failure to treat conservation status as a continuum when choosing thresholds for indicators resulted in the misidentification of trade‐offs between true and false positive rates and the overestimation of an indicator's reliability. We argue for treating conservation status as a continuum when ROC curves are used to evaluate decision thresholds in indicators for the assessment of conservation status. Determinación de Umbrales de Decisiones y Evaluación delos Indicadores cuando se Mide el Estado de de Conservación como un Continuo     

The interrelation between collective identities and place concepts in local wind energy conflicts

In Germany, plans at the local level to construct wind turbines often find support as well as rejection – often in both cases for ecological reasons. In this paper, we argue that the key to understanding local wind energy debates is to analyse the interrelations between collective identities and concepts of place. Based on the discourse theory of Laclau and Mouffe, we analyse how two completely contradictory place notions have evolved in a local dispute in a small town in Germany, and how existing political identities have been modified, realigned and superseded in the course of the conflict. Furthermore, we show how the involved discourses are characterised by strong continuities with respect to an earlier struggle over an asphalt mixing plant.     

基于能值理论武陵山片区旅游生态化水平测度与空间异质性分析

旅游生态化是实现旅游可持续发展的重要途径,而旅游生态化水平测度是旅游生态化研究的基础工作。本文创新性地构建了基于能值理论的旅游地生态化水平分析框架及测度模型。以武陵山片区为研究对象,基于研究区域2018年相关截面数据,以县级行政单位为研究单元对旅游生态化水平进行测度。测度结果表明：武陵山片区旅游生态化水平为中等偏下水平;县域单元等级数量呈“金字塔”形分布;评价体系目标层指标存在显著性差异。探索性空间数据分析方法分析表明研究区域旅游生态化水平空间分布上显示较为明显的集聚特征,显示较强的正相关,异质性弱。分指标空间分布显示大多数县域单元旅游社会经济的发展与环境保护不同步。     

信息融合技术在火灾探测中的应用研究

为减少火灾探测中的误报警,基于信息融合技术对火灾传感器输出的信息进行处理。充分利用火灾探测系统的在线和离线数据,采用改进的主元分析法(PCA)、粗糙集(RS)理论、支持向量机(SVM)等3种方法的融合与互补,通过对系统的输入数据进行简化,消除原有信息的各分量之间的相关性,降低特征信息维数;实施最优最小约简,特征提取优化;构造自适应核函数,确定最优分类超平面,进行样本训练,获得火灾探测结果。从数据级、特征级、决策级3个层次上实现火灾信息融合。结果表明:该方法减少了融合过程中的信息损失,降低了计算的复杂性,有效地提高了火灾探测系统的可靠性和准确度。     

基于RS-SVM模型的煤与瓦斯突出多因素风险评价

为挖掘瓦斯突出风险与煤矿开采中各影响因素间的关系,应用支持向量机(SVM)理论从模式判别角度分析瓦斯突出风险与各地质因素组成的特征向量间的判别关系,基于粗糙集(RS)理论对待分析数据进行知识约简,提取核心判别指标,建立基于粗糙集-支持向量机(RS-SVM)的瓦斯突出风险判别模型。研究结果表明,RS知识约简方法可以很好地对原始数据中的冗余指标进行约简,通过对约简后指标数据进行SVM回归分析,可对煤与瓦斯突出模式进行很好的判别,所建立的瓦斯突出风险判别模型较一般SVM模型具有更高的预测精度,同时指标约简过程降低SVM运算中的复杂度,提高运算效率。     

基于灰色-马尔科夫链理论的建筑施工事故预测研究

我国建筑事故预测中具有统计数据少、数据波动性大等特点,缺乏具有高精度、可操作性强的预测模型。将灰色系统理论和马尔可夫原理相结合,充分发挥了灰色系统理论适用于小样本数据拟合和马尔可夫适合处理数据波动大的系统过程的优势,通过GM(1,1)模型的建立,提出一种适合建筑事故统计数据特点的灰色马尔可夫预测方法。将该方法应用于1994—2007年建筑施工事故次数分析,以此为基础对2008—2009年的建筑施工事故次数进行预测。研究结果表明:基于灰色马尔可夫理论建筑事故预测结果精度可达90%以上。