含堆焊层临氢设备HTHA敏感性评价修正方法

加氢反应器等高温临氢设备由于长期在高温高压含氢或氢与硫化氢环境下服役,可能会出现高温氢腐蚀(HTHA)、氢脆等损伤现象,直接关系到装置的长期稳定可靠运行。为了防止出现氢损伤现象,多采用奥氏体不锈钢单层或多层堆焊技术。针对RBI技术中HTHA模块对于含堆焊层结构的临氢设备在评估时并未考虑堆焊层的影响,从氢扩散理论出发,考虑堆焊层的影响,提出采用有效氢分压的方法开展HTHA敏感性Pv因子的计算,并改进了E347+E309L双层堆焊层结构的临界Pv修正因子。     

基于PCA-FPP-BP神经网络的高层建筑火灾安全评价

为解决高层建筑构造复杂、人员密度大、火灾触发因素繁多而造成高层建筑火灾安全评价困难的问题,本文提出基于PCA-FPP-BP神经网络的高层建筑火灾安全评价模型。首先运用主成分分析(PCA)对构建的高层建筑火灾安全评价指标降维处理,筛选主要信息;接着基于三角模糊数构建模糊评判矩阵,利用模糊优先规划(FPP)求解指标的权重值,减少主观的影响;最后考虑到指标间关系错综复杂彼此交叉和反馈的特性,选择BP神经网络对高层建筑火灾安全进行评价。通过工程案例证明该评价模型的实用性以及可靠性。     

基于风险的中国电影产业安全管理初探

随着我国电影产业的发展,各种安全事故层出不穷,电影产业的安全生产已经是一个无法回避的问题。在分析电影产业安全事故特点的基础上,结合风险预警理论,系统地探讨了电影产业安全风险管理的基本框架,对提高电影产业安全生产水平提出了建议。     

Postural assessment in pen-and-paper-based observational methods and their associated health effects: a review

Introduction. This review describes standardized ergonomics assessment based on pen-and-paper observational methods for assessing ergonomics risk factors. Objective. The three main objectives are to analyze published pen-and-paper observational methods, to extract and understand the risk levels of each method and to identify their associated health effects. Methodology. The authors searched scientific databases and the Internet for materials from 1970 to 2013 using the following keywords: ergo, posture, method, observational, postural angle, health effects, pain and diseases. Postural assessments of upper arms, lower arms, wrists, neck, back and legs in six pen-and-paper-based observational methods are highlighted, extracted in groups and linked with associated adverse health effects. Results. The literature reviewed showed strengths and limitations of published pen-and-paper-based observational methods in determining the work activities, risk levels and related postural angles to adverse health effects. This provided a better understanding of unsafe work postures and how to improve these postures. Conclusion. Many pen-and-paper-based observational methods have been developed. However, there are still many limitations of these methods. There is, therefore, a need to develop a new pen-and-paper-based observational method for assessing postural problems.     

A fuzzy logic and probabilistic hybrid approach to quantify the uncertainty in layer of protection analysis

Layer of protection analysis (LOPA) is a widely used semi-quantitative risk assessment method. It provides a simplified and less precise method to assess the effectiveness of protection layers and the residual risk of an incident scenario. The outcome failure frequency and consequence of that residual risk are intended to be conservative by prudently selecting input data, given that design specification and component manufacturer's data are often overly optimistic. There are many influencing factors, including design deficiencies, lack of layer independence, availability, human factors, wear by testing and maintenance shortcomings, which are not quantified and are dependent on type of process and location. This makes the risk in LOPA usually overestimated. Therefore, to make decisions for a cost-effective system, different sources and types of uncertainty in the LOPA model need to be identified and quantified. In this study, a fuzzy logic and probabilistic hybrid approach was developed to determine the mean and to quantify the uncertainty of frequency of an initiating event and the probabilities of failure on demand (PFD) of independent protection layers (IPLs). It is based on the available data and expert judgment. The method was applied to a distillation system with a capacity to distill 40 tons of flammable n-hexane. The outcome risk of the new method has been proven to be more precise compared to results from the conventional LOPA approach.     

Development of collision risk indicators for autonomous subsea inspection maintenance and repair

The objective of this article is to present a method for developing collision risk indicators applicable for autonomous remotely operated vehicles (AROVs), which are essential for promoting situation awareness in decisions support systems. Three suitable risk based collision indicators are suggested for AROVs namely, time to collision, mean time to collision and mean impact energy. The proposed indicators are classified into different thresholds; low, intermediate and high. An AROV flight path is simulated to gather input data to calculate the proposed indicators and three collision targets are established, i.e., subsea structure, seabed and a cooperating AROV. The proposed indicator development method together with the case study show a proof-of-concept that the combination of mean time to collision and mean impact energy indicators can identify risk prone waypoints in the AROV path. The method results in an overall risk picture for a given AROV path. The results may provide useful input in replanning of mission paths and for implementation of risk reducing measures. Even though the method focuses on collision risk, it can be used for other accident scenarios for AROVs.     

巢湖流域和太湖流域沉积物中苄氯菊酯和高效氰戊菊酯的生态风险评价

分析了巢湖流域和太湖流域表层沉积物中苄氯菊酯和高效氰戊菊酯,并结合毒性单元法(Toxic Unit,TU)和物种敏感性分布法(Species Sensitivity Distributions,SSD)评价了两种拟除虫菊酯的生态风险.结果显示,两大流域沉积物中均广泛检测出两类污染物.总体而言,巢湖流域苄氯菊酯含量较高,而太湖流域高效氰戊菊酯含量较高.同时,两种污染物在巢湖流域呈现显著的正相关,但太湖流域二者之间没有相关关系.3种风险评价方法(TU法、沉积物SSD法、水体SSD法)均揭示苄氯菊酯对巢湖流域水生环境影响较大,而高效氰戊菊酯对两个流域影响均较大.因此,需要加强对流域高效氰戊菊酯污染的关注.其中,TU法预测的风险最小,沉积物SSD法预测的风险最大,主要原因在于TU法采用的毒性数据为LC50,而SSD法则选用了NOEC/LOEC,同时沉积物SSD法是出于保护大部分底栖生物为目的的方法.各种方法对于评价沉积物毒害污染物的生态风险均存在不足,尽管沉积物SSD法最为合理,但由于其毒性数据较少,最终预测结果存在一定的不确定性.因此,需要进一步加强对底栖生物毒性的研究和数据积累.     

安溪铁观音茶园土壤重金属赋存形态及生态风险评价

用改进的BCR连续提取法提取安溪铁观音茶园土壤中重金属元素(Li、Fe、Zn、Ba、Sr、Ti、Co、Cr、Cd、Mn、Ni、Pb、V、Mg、Cu)的赋存形态,分析其生物有效性并作出生态风险评价。重金属赋存形态研究结果表明,Cd的形态总体分布为弱酸溶态残渣态可还原态可氧化态,Pb的形态总体分布为可还原态可氧化态弱酸溶态残渣态,Cu的形态总体分布为可还原态可氧化态残渣态弱酸溶态,其余重金属皆以残渣态为主。生物有效性分析结果表明,Pb、Cd、Cu、Mn、Ni、Sr等重金属的潜在生物可利用性较高,其所占百分比分别为90.4%、73.0%、36.6%、32.8%、23.8%、22.9%。对茶园土壤中的重金属作生态风险评价,地累积指数法和潜在生态危害指数法结果均表明,大部分土壤样品是清洁安全的,部分土壤受到Cd元素污染,污染程度达到中度污染级别。     

滨海石化项目环境综合风险评估方法研究

研究针对国内目前的研究现状,运用环境风险评价指数法建立滨海石化项目环境风险评估体系,采用层次分析法和熵权法结合的组合赋权法,结合专家咨询法进行指标的修改与完善,运用线性加权组合法对评估体系中指标权重的赋值,并计算滨海石化项目的环境风险等级,确定项目的风险强弱.实例分析表明环境风险管理在环境风险的产生和预防占有十分重要的地位,通过加强和完善环境风险的管理体系,结合环境因素的敏感程度及风险源的产生和影响,能降低环境风险及事故的影响程度.     

基于MCDA模型的危险废物填埋场地下水污染风险分级

基于对风险全过程控制的思想,利用层次分析法,构建了综合考虑危险废物填埋场自身属性、污染场地水文地质条件以及污染受体等因素的危险废物填埋场地下水污染风险分级指标体系,该体系共包括14项指标;并采用MCDA(multi-criteria decision analysis,多准则决策分析)模型,对我国37个危险废物填埋场(不包括港澳台数据,下同)地下水污染风险进行了分级研究. 结果表明:14项风险分级指标之间具有很好的独立性,指标体系能够较为完整、准确地反映危险废物填埋场对地下水的污染风险程度;37个危险废物填埋场地下水污染风险可分为高、中、低3个级别,其中81%处于中、低级风险级别;地下水中特征污染物ρ(Cr)监测值与风险分级分值的距平指数为0.802 9,验证了风险分级结果的可靠性;同时采用MDCA模型对风险分级指标权重的敏感性进行分析,验证了风险分级过程中指标权重赋值的准确性,并降低了指标权重赋值过程中的不确定性,进一步提高了分级结果的可靠性.风险分级结果在一定程度上可为危险废物填埋场地下水污染风险管理提供依据.