A hybrid model for human factor analysis in process accidents: FBN-HFACS

Human factors are the largest contributing factors to unsafe operation of the chemical process systems. Conventional methods of human factor assessment are often static, unable to deal with data and model uncertainty, and to consider independencies among failure modes. To overcome the above limitations, this paper presents a hybrid dynamic human factor model considering Human Factor Analysis and Classification System (HFACS), intuitionistic fuzzy set theory, and Bayesian network. The model is tested on accident scenarios which have occurred in a hot tapping operation of a natural gas pipeline. The results demonstrate that poor occupational safety training, failure to implement risk management principles, and ignoring reporting unsafe conditions were the factors that contributed most failures causing accident. The potential risk-based safety measures for preventing similar accidents are discussed. The application of the model confirms its robustness in estimating impact rate (degree) of human factor induced failures, consideration of the conditional dependency, and a dynamic and flexible modelling structure.     

Risk-Based Prioritization of Air Pollution Monitoring Using Fuzzy Synthetic Evaluation Technique

Air pollution monitoring programs aim to monitor pollutants and their probable adverse effects at various locations over concerned area. Either sensitivity of receptors/location or concentration of pollutants is used for prioritizing the monitoring locations. The exposure-based approach prioritizes the monitoring locations based on population density and/or location sensitivity. The hazard-based approach prioritizes the monitoring locations using intensity (concentrations) of air pollutants at various locations. Exposure and hazard-based approaches focus on frequency (probability of occurrence) and potential hazard (consequence of damage), respectively. Adverse effects should be measured only if receptors are exposed to these air pollutants. The existing methods of monitoring location prioritization do not consider both factors (hazard and exposure) at a time. Towards this, a risk-based approach has been proposed which combines both factors: exposure frequency (probability of occurrence/exposure) and potential hazard (consequence).This paper discusses the use of fuzzy synthetic evaluation technique in risk computation and prioritization of air pollution monitoring locations. To demonstrate the application, common air pollutants like CO, NO_x, PM₁₀ and SO_x are used as hazard parameters. Fuzzy evaluation matrices for hazard parameters are established for different locations in the area. Similarly, fuzzy evaluation matrices for exposure parameters: population density, location and population sensitivity are also developed. Subsequently, fuzzy risk is determined at these locations using fuzzy compositional rules. Finally, these locations are prioritized based on defuzzified risk (crisp value of risk, defined as risk score) and the five most important monitoring locations are identified (out of 35 potential locations). These locations differ from the existing monitoring locations.     

基于生态功能考虑的西北干旱地区生态需水研究

在当前生态需水研究的基础上,选取植被盖度作为衡量绿洲生态功能的主要指标,根据植被盖度和侵蚀率之间的关系,从生态系统的需水机理出发,提出了基于生态功能考虑的西北干旱地区生态需水量计算方法.以额济纳绿洲为例,计算了2000年额济纳绿洲生态需水,并与额济纳绿洲不同时期的生态需水进行了对比分析.     

基于AHP-MF模型的用户群节水指标体系研究

从分析影响用户群节水的因素及其构成关系入手,根据专家长期节水工作的经验,利用层次分析法对用户群节水指标进行优选,并提出全面的定量化和定性化的层次结构评价模式和总体评价方法.首先构建用户群节水的层次分析结构模型及判断矩阵,应用Matlab6.5计算出各判断矩阵的最大特征值及其特征向量,并检验判断矩阵的一致性,继而确定出各指标的权重;其次,应用Fuzzy统计的方法对陕西2006年度高校用户群的节水情况进行评价,并为节水工作提供建设性意见.     

淮河中游地区水环境功能区划研究

从地表水质现状出发，寻求有利经济结构调整、重大区域开发规划布局与水质目标管理的科学水环境功能区划方案，为实施水污染物排放总量控制，改善地表水质提供技术支持。     

山仔水库周边乡镇生态质量未确知测度评价

通过建立未确知模型,结合层次分析法确定权重,对福州由仔水库周边有人类聚居点的小沧乡、潘度乡、飞竹乡、霍口乡和日溪乡的生态环境质量做出了评价。得出了它们的生态环境质量均为四级,属较差水平。而在积分上,霍口乡的环境质量最好,潘度乡最差。     

人因评价的定量化研究

人因评价是安全评价中的重要组成部分，在结合层次分析法和综合加权法的基础上，建立了人因评价的量化模型。     

系统安全性评价的AHP方法及在热处理作业系统中的应用

介绍了系统安全评价的ＡＨＰ方法，叙述了该方法的基本步骤，并以某公司热处理分厂评忏为实例，证明了该方法的有效性和实用性。     

城市灾害应急能力评价研究

城市灾害应急能力评价是城市灾害管理的重要内容，建立城市灾害应急能力评价体系对增强城市灾害管理能力和提高政府部门对灾害的应急响应能力有极其重要的意义。文章从系统理论的角度出发，运用层次分析法（AHP）和专家词查法合理地确定了各个评价指标的权重，建立起城市灾害应急能力评价模型。该方法将定量和定性相结合，很好地解决了城市应急能力的定量评价问题，同时，还可以克服主观随意性，从而提高对城市灾害应急能力评价的可靠性、准确性和客观性，为城市安全减灾提供科学依据。     

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。