甘肃省暴雨洪水灾害分布特征研究

根据甘肃省各地1971～2000年气象整编资料及1981-2000年土壤湿度资料，计算分析了主讯期（6～8月）各地土壤水分容纳量，并对甘肃省大暴雨的时空分布、洪水灾害形成的地形、地质特征作了系统分析，依此对暴雨洪水地质灾害进行了区划，对其危害进行了评述.     

光气生产装置的危险性及事故统计分析

通过对光气、光气化生产工艺过程存在的危险性分析,笔者认为气相光气化工艺比液相光气化工艺危险性小,而固体光气化生产工艺与气、液相光气生产工艺相比,危险性更小。同时对国内外光气和光气化生产发生事故的原因进行分析探讨,指出事故的原因主要是由管道及设备缺陷、个体防护用品缺乏、设计缺陷及人为失误引起。采用固体光气替代光气参与各种有机合成,与液相或气相光气工艺相比具有安全、反应条件温和、易操作、工艺简便、反应计量准确等优点,因此,固体光气工艺发展前景广阔。     

空中交通管制中人的可靠性模糊综合评价研究

人是空中交通管制系统中最灵活、最具适应性和最有价值的因素 ,而其行为也是最易受到不利影响的。由于空中交通管制中产生的人为失误 ,往往会导致航空器空中危险接近 ,严重的后果甚至会酿成空难。笔者从人 -机 -环境系统工程的观点出发 ,提出了空中交通管制中人的可靠性评价的指标体系结构模型。从人自身因素、软件、硬件、环境等方面指出了影响空中交通管制中人的可靠性的心理、空中环境等 17个子因素。运用模糊数学的方法 ,建立空中交通管制中人的可靠性定量评价模型 ,并用实例进行了验证。研究表明 ,该方法应用于空中交通管制中人的可靠性评价是一种新的尝试 ,其评价结果可为各级领导机构提供航空安全管理的决策依据。     

基于BP网络的建筑安装施工现场安全综合评价的研究

针对目前我国建筑安装施工现场安全评价技术的不成熟和欠科学性的现状 ,笔者分析和综合了目前安全评价技术 ,结合建筑业特点 ,提出了基于BP神经网络的建筑安装施工现场安全评价方法 ,并对该评价模型的原理、方法及算法进行了研究。首先 ,结合建筑安装施工现场安全生产的特点建立评价指标体系 ,随后 ,运用层次分析法确定指标及准则层的权重 ,并运用模糊综合评价法生成评价样本集 ,最后 ,利用样本集训练BP网络 ,待误差满足要求后 ,即可运用训练成功的BP神经网络进行安全评价。     

模糊集值统计法在煤矿安全评价指标权值中的应用

应用模糊集值统计的理论 ,对煤矿安全评价中具有随机性和模糊性的指标进行数学分析 ,进一步改进了其权值的确定方法 ,使其更加符合实际情况 ,并对由此得出的权值进行了可靠性分析。通过实例表明 ,该方法克服了经典统计法的不足 ,提高了煤矿安全评价的实用性和科学性     

旅游区(点)安全评估体系初探

旅游区的安全状况越来越受到各级政府的广泛关注,规范旅游景点安全管理已成当务之急.文章以模糊数学和层次分析理论为指导构建了旅游区(点)安全评估指标体系和评价模型,评价过程考虑了影响安全等级的相关因素,并保留了各级评价的全部信息.实例采用典型的旅游景点指标数据,评价结果直观地反映了旅游区的安全状况.     

Lyapounov理论在矿井通风系统稳定性分析中的应用

当矿井通风系统的特征参数发生变化时,矿井通风系统的风流状态也会发生变化,这些变化是否会影响矿井通风系统的稳定工作,对这个问题进行研究有利于确保安全生产.本文根据Lyapounov稳定性理论对矿井通风系统的稳定性进行分析,得到矿井通风系统在其正常的工作区段,系统特征参数发生一定的变化时,其状态是稳定的;当变化超过一定的界限后,系统变得不稳定,不利于系统正常功能的实现.     

延边地区公路沿线边坡失稳试验分析

延边地区公路沿线分布着大量软岩，其岩性具有强膨胀性，致使这一地区公路边坡出现了多处滑坡现象。为了合理地处理这一工程地质问题，需要认真研究该种软岩的膨胀特性。选取滑坡体软岩为研究对象，定量分析了其自由膨胀率、无荷膨胀率和有荷膨胀率，并具体测定了其膨胀力，探讨了其膨胀率和膨胀力的变化规律，揭示了研究区软岩的膨胀特性，为公路建设中软岩边坡加固参数的选取提供了科学的依据。     

Status and fuzzy comprehensive assessment of combined heavy metal and organo-chlorine pesticide pollution in the Taihu Lake region of China

The status of combined heavy metal and organo-chlorine pesticide (OCPs; i.e. HCH and DDT) pollution was investigated and the soil environmental quality of the Taihu Lake watershed, one of the most developed regions in China, was evaluated using a fuzzy comprehensive assessment. Statistical analyses showed the presence of combined pollution in the soil. At many sampling sites, heavy metal concentrations were above corresponding background values, indicating the effects of extraneous pollutants. It has been over 20 years since China banned the use of OCPs, but they can still be found in soil samples of this region. HCH levels at all investigated sites were below the Chinese Environmental Quality Standard for Soils. Fuzzy comprehensive assessment showed that the overall soil quality in this region could be categorized as class I. Nevertheless, the high coefficients of variation for levels of DDT, Cd and Hg indicated the existence of some point-source pollution. Continuous monitoring and further studies of the region are recommended to prevent pollution of farmland from these sources.     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.