突发性水污染事故应急健康风险评价

基于US NAS健康风险评价理论,构建包括危害鉴别、剂量效应评价、暴露评价和风险表征4部分内容的突发性水污染事故应急健康风险评价技术体系.该技术体系充分考虑突发性水污染事故污染物对于人体健康“短时间、高剂量”的暴露特点,提出了突发性水污染事故污染物应急参考浓度的计算方法,以健康危害商值定性描述突发性水污染事故的健康风险,并通过统计推断健康危害商值的概率分布定量描述突发性水污染事故的健康风险,并实现风险分级.以松花江硝基苯水污染事故为例,对突发性水污染事故应急风险评价技术进行验证,计算获取的以保护成人和儿童的应急参考浓度分别为0.175,0.05mg/L,污染事故的健康风险值分别为29%和62%,分别隶属于中级和高级风险水平.实例表明应急健康风险评价技术体系能够有效表征突发性水污染事故的健康风险,在一定程度上可以为突发性水污染事故的应急管理提供依据.     

煤矿安全管理方法及问题研究

加强煤矿安全管理是个迫切而重要的课题.在分析煤矿安全管理特殊性和复杂性的基础上,研究了当前煤矿安全生产存在的问题并提出了解决方法.     

Revising HFACS for SMEs in the chemical industry: HFACS-CSMEs

Chemical accidents have occurred frequently in recent years, and most have occurred in small and medium-sized enterprises (SMEs). SMEs in the chemical industry face greater challenges than large enterprises with regard to accident prevention. However, SMEs have been unable to effectively learn from accidents due to the limited resources. The accident causation model is an effective tool to help the analyst learn from accidents. As a systematic accident causation model, the causes classification in the human factors analysis and classification system (HFACS) can match the characteristics of SMEs, but the cause of chemical accidents can be ineffectively identified by HFACS. In this study, HFACS was revised for the SMEs in the chemical industry, mainly consisting of three parts. First, based on the definition of factors in the original HFACS, the extended HFACS framework was obtained, which include 78 manifestations with the characteristics of the chemical accidents. Second, 101 accidents occurring in a SME in the chemical industry from 2012 to 2016 were analyzed though the extended HFACS framework. Finally, a new model, known as the HFACS-CSMEs, was obtained by further revising the manifestations and causes classification according to the statistical results of the accident analysis. HFACS-CSMEs consists of 15 cause factors and 56 manifestations, which can effectually identify and distinguish the causes in chemical accidents. Moreover, the easy-to-understand and statistically acceptable features of HFACS-CSMEs can cater to the SMEs regarding accident analysis. HFACS-CSMEs solves the problem that HFACS cannot be directly applied to chemical accidents and provides new ideas about preventing accidents in SMEs in the chemical industry.     

Spatial analysis of mortality rate of pedestrian accidents in Iran during 2012–2013

Objectives: Considering the high mortality rate of pedestrians in traffic accidents in Iran, the present study aimed to determine the high-risk and low-risk areas of accidents resulting in pedestrian deaths and the spatial analysis of their mortality rates.

Methods: This cross-sectional study included 4,371 deceased pedestrians reported by the Legal Medicine Organization in Iran from March 2012 to March 2013. For spatial analysis, the collected data were entered into ArcGIS software version 10.2 and a spatial map of the mortality rate was drawn according to the distribution of data in the provinces. Using this software, high-risk and low-risk areas were identified by calculating the spatial autocorrelation of the data. The Moran’s index of road accident patterns was surveyed and high-risk and low-risk points were identified using the local Getis index.

Results: The age-standardized incidence rate was 6.8 per 100,000. After analyzing the data using ArcGIS software, the local Moran’s index showed a cluster pattern with a high mortality rate in 3 provinces of Mazandaran, Gilan, and Qazvin. In identifying high-risk and low-risk points, the local Getis index showed 3 hot spots with a confidence interval of 99% in Qom, Qazvin, and Mazandaran and 5 hot spots with a 95% confidence interval in Markazi, Tehran, Zanjan, Gilan, and Golestan provinces.

Conclusions: According to the cluster pattern of accidents in the 3 provinces and the presence of hot spots in 9 provinces, it is necessary to identify factors that increase the risk of death in the study provinces in order to reduce the mortality rate among pedestrians due to traffic accidents. Therefore, to reduce the pedestrian mortality rate, especially in high-risk provinces, some studies need to be conducted to determine the risk factors in pedestrian mortality.     

Overcoming the blame game to learn from major accidents: A systemic analysis of an Anhydrous Ammonia leakage accident

This article aims to demonstrate the need for changing the methods with which accidents are analyzed, if we truly wish to use what we uncover from them to learn and enrich our knowledge base of organizational management. The goal is to relinquish the broadly adopted and rather simplistic paradigm that accepts the search for human error and unsafe acts performed by workers, and produces “guilt diagnostics”. Instead, we use a systemic accident analysis methodology, based on the sociotechnical principle of understanding the real operating conditions in which accidents take place. In order to demonstrate the benefits of the theoretical framework, we compare the analyses of an Anhydrous Ammonia gas leakage accident in a fish processing plant using the traditional accident analysis model based on unsafe acts and the proposed systemic approach. The results favor the latter since it tends to be more reliable and offering useful recommendations to safety management processes, thus helping to prevent accidents, especially in complex systems.     

Work-Related Accidents Among Young Workers in Finland

The aim of this study was to discover accident factors specific to young workers, using two accident data sets gathered at the same time but with different methods. The first data set consisted of 99 serious occupational accidents, which occured in Southern Finland in 1988 and 1989. The second data set was based on the interview study of over 13,000 people of whom 792 were involved in an accident at work. Both data sets showed consistently that the accident frequency of young workers was higher than that of older workers. The accidents of young workers, however, were less severe. Young accident victims hurt themselves more often when feeding or cleaning machines. Incautiousness contributed more often to accidents of young workers. In order to prevent occupational accidents of young workers, companies should introduce training programmes for new employees.     

Assessment of the small modular reactor (SMR) marketing using modified network dynamics-based system dynamics (SD) method

Following the export success of the South Korean small modular reactor (SMR), it has been investigated for the marketing strategy of nuclear power plants (NPPs). The information feedback oriented method for the social-business matters, system dynamics (SD), is applied to the assessment of the marketing strategy in which the forecasting skills are performed. Each element has the Boolean value as 0 or 1 in which the values are selected by the random number generation. If the generated values are higher than the designed value decided by the operator, it is 1. Otherwise, it is 0. The networking based dynamical modeling is discussed. The modification of the linear networking is changed by the SD algorithm where the feedback and multiple connections are added to the original network dynamics theory. This new method has shown the complexity of the marketing strategy, especially for the NPPs.     

典型耦合优化算法在源项反演中的对比研究

突发大气污染事故中,污染源的快速、准确确定是应急处置的基础.为研究有效的源项评估方法,本文基于美国草原外场SO₂释放实验,利用GA-PSO、GA-NM、PSO-NM 3种耦合算法,分别与高斯点源烟羽扩散模型结合,对源强和位置等污染源参数进行反演与对比,并从算法结构与大气扩散条件方面进行反演效果差异分析.结果表明,从源强反演角度看,PSO-NM反演结果的准确性最高、稳定性最强,平均误差（11.3%）与平均标准偏差（0.7g/s）明显低于GA-NM（16.4%、13.3g/s）与GA-PSO（29.0%、26.6g/s）.从位置反演角度看,PSO-NM的反演结果最为稳定,反演的平均标准偏差（0.29m）明显低于GA-NM（3.20m）与GA-PSO（3.03m）算法;在不稳定和中性扩散条件下,PSO-NM算法的位置反演准确性最高,误差为4.97m;但在稳定扩散条件下,GA-NM的位置反演误差（7.69m）最小.从反演效率角度看,PSO-NM与GA-NM反演时间最短,更适用于污染源的快速确定.     

铅污染事故生态环境损失评估——以台州铅蓄电池企业为例

国内铅污染事故频繁发生,造成了严重的生态环境污染和人体健康损害。通过采用市场价值法、人力资本法和恢复费用法,对铅污染的生态环境损失进行了全面评估。以台州典型的铅蓄电池企业为例进行研究,铅污染总损失为121．83万元,其中土壤修复及监测费用占77.1％;人体健康损失占18．9％;农作物种植损失占4．0％。