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.     

基于Tripod-Beta模型的船舶火灾事故风险分析

为深入分析船舶火灾事故风险因素及其后果产生的影响,通过分析1991-2017年全球船舶火灾事故调查报告,从人员、管理、船舶设备、货物、环境5个方面对船舶火灾影响因素进行识别研究;采用三脚架事故致因模型(Tripod-Beta model),构建考虑安全栅的船舶火灾事故情景演化模型,识别船舶火灾关键影响因素;并在样本量较少的情况下,采用信息扩散理论计算船舶火灾发生率;最后,利用布尔函数和风险矩阵,对船舶火灾事故风险进行评价研究。结果表明:船员不安全行为和船舶设备表面过热、设备短路是船舶火灾事故的关键风险因素;事故后果链中安全栅遭到破坏时,船舶火灾风险处于不希望发生范围内。该方法能有效评估船舶火灾风险的等级,满足海事管理部门的监管工作需求。     

双重预防机制在家具制造业的应用与实践

为了减少安全事故的发生,进一步加强和规范企业生产现场的安全管理,探索双重预防机制在企业安全管理中的应用,结合家具制造企业安全生产现状,运用风险分级管控与隐患排查的相关理论,详细论述了企业构建双重预防体系的要点及方法,并提出了双重预防体系的监督与考核机制。实践结果证明,双重预防机制是一个统一的有机结合体,只有将风险分级管控体系和隐患排查治理体系有机结合,才能将导致事故发生的根源性因素进行有效识别和管控,双重预防机制建设也是一个动态管理的过程,需要及时进行监督、考核和调整。     

Why are powered two wheeler riders still fatally injured in road junction crashes? – A causation analysis

Introduction: Powered Two Wheeler (PTW) crashes continue to be a road safety concern with a plateauing of the number of associated fatalities. Method: Forty one UK fatal or serious injury crashes involving a PTW and another vehicle at a junction were examined. Crash causation was analysed using the Driver Reliability and Error Analysis Method (DREAMv3.2). Crashes were split into two groups: Group A, where the other vehicle was travelling in the opposite direction to the PTW and commenced a right turn across the PTW’s path; and Group B where the other vehicle turned right out of a side road (or entrance) across the PTW’s path. Results: Overall, the factor that led directly to the crash (phenotype) was most commonly ‘too high speed’ or ‘too late action’ for the motorcyclist and ‘too early action’ for the other driver. Missed or late observations were contributory factors for both PTW riders and other vehicle drivers. Some differences between groups were observed with the PTW riders in Group B more likely to have ‘insufficient skills’ and the other vehicle drivers in Group A more likely to have ‘attention allocation’ as a causation factor. For both groups the crashes occurred because the other vehicle failed to give way to the PTW with causation chains that suggest ‘looked but failed to see’ is still an issue in this type of crash. The excessive speed of the PTW contributed to some crashes. Conclusions: This analysis suggests that drivers failing to give way to PTW riders at junctions is still a problem. This may relate to the ‘looked but did not see’ phenomenon. Causation differences were observed between the examined groups. Practical considerations: The DREAM methodology is an effective tool in analysing crash data from police collision investigation reports. Different countermeasures may be necessary to prevent different types of junction crashes.     

Decline of traditional rice farming constrains the recovery of the endangered Asian crested ibis (Nipponia nippon)

Traditional agriculture benefits a rich diversity of plants and animals. The winter-flooded rice fields in the Qinling Mountains, China, are the last refuge for the endangered Asian crested ibis (Nipponia nippon), and intensive efforts have been made to protect this anthropogenic habitat. Analyses of multi-temporal satellite data indicate that winter-flooded rice fields have been continuously reduced across the current range of crested ibis during the past two decades. The rate of loss of these fields in the core-protected areas has unexpectedly increased to a higher level than that in non-protected areas in the past decade. The best fit (R² = 0.87) numerical response model of the crested ibis population shows that a reduction of winter-flooded rice fields decreases population growth and predicts that the population growth will be constrained by the decline of traditional winter-flooded rice fields in the coming decades. Our findings suggest that the decline of traditional rice farming is likely to continue to pose a threat to the long-term survival and recovery of the crested ibis population in China.

Electronic supplementary material

The online version of this article (doi:10.1007/s13280-015-0649-5) contains supplementary material, which is available to authorized users.     

Expert system application for prioritizing preventive actions for shift work: shift expert

Introduction. Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. Methods. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.     

遥感与GIS支持下的城市绿地信息提取方法研究--以深圳市为例

城市绿地作为城市结构中的自然生产力主体，在城市系统中起着重要作用。传统的城市绿地调查多采用人工普查并结合统计学方法进行城市绿地调查，需要投入大量的人力和资金，但得到的数据精度和现时性都较差，而采用高分辨率遥感卫星数据与地理信息系统相结合的方法，可以达到对城市绿地遥感数据的快速特征提取和准确的空间统计分析。文章采用基于遥感和GIS相结合的方法，并以深圳市为例，进行了城市绿地特征提取方法的研究和应用分析。     

土壤遥感分类识别专家系统的结构设计

介绍了土壤遥感分类识别专家系统的设计原理与实现方法，阐述了土壤遥感分类识别专家系统的土壤分类决策判断树的构造原理，讨论了土壤遥感分类识别专家知识表示的基本原则和系统知识库中专家知识的组织方式，以及专家系统推理机的设计原理和推理规则的构建方法。系统采用压缩编码方式存储地学专题图形和遥感图像数据，具有数据与图像的存储更新、查询检索、分析处理、特征提取和信息输出等功能。该系统可以对遥感图像进行土壤类型的分类识别，并对分类精度进行监测与评价。用该系统对新疆天山北麓阜康试验区的土壤分类识别进行了试验研究，并对试验结果进行了讨论与评价。     

广州市蔬菜地土壤重金属污染状况调查及评价

探讨了广州市蔬菜地土壤重金属污染状况,测定了95份土壤样品中铅、镉、铬、砷、汞的含量水平。土壤中铅、镉、铬、砷、汞的含量分别在6.44～153.10mg/kg、0-0.682mg/kg、5.82～101.60mg/kg、0.04～45.36mg/kg、0.01～O.32mg/kg之间。就污染的普遍性而言,铅污染最为普遍,其次是砷污染;就污染的程度而言,镉污染最严重.其次为砷、汞。对比今昔污染变化.广州市土壤污染治理已取得显著成效,但仍需努力。土壤中镉、砷、汞三种元素的变异系数,特别是镉的变异系数较大,这可能预示着点源性污染的存在。     

基于震后现场调查的震害损失评估软件

根据国家地震局的有关文件,研制了本软件。主要用于震后现场调查的地震灾害损失评估,也可根据抽样调查数据及背景资料对某地区地震灾害进行预估。本软件采用汉化的友好操作界面,使用方便。