衍生化气相色谱法定性分析污染事故样中的绿麦隆

采用衍生化气相色谱法定性分析污染事故土壤样和废渣样中的绿麦隆 ,发现其色谱图均与绿麦隆标准样品的色谱图一致 ,从而证实废渣和土壤中均含有绿麦隆成份 ,为管理部门调查处理提供了依据     

爆炸事故危险废物的预处理技术

本文论述了深圳危险品仓库爆炸事故废物的预处理技术以及在现场所实施的全部过程，并根据爆炸废物的特点和工程上的可操作性对该技术进行了分析。稳定化的废物经过两年填埋后，证明处理效果良好。     

LPG leakage and explosion accident analysis based on a new SAA method

The petrochemical industry has inherently high safety risks. On 5^th June 2017, a liquefied petroleum gas tanker in the storage and transportation department of Linyi Jinyu Petrochemical Co., Ltd. leaked during unloading, causing a major explosion and fire. Ten people were killed and nine were injured. To prevent the recurrence of similar accidents, a retrospective accident analysis was conducted using the system accident analysis method known as ‘24Model’. This analysis proved the coupling relationship between accident causes involving multiple organisations and multiple factors. The analysis results show that the five modules of maintenance and design, that is, loading and unloading valves, emergency training, management of subsidiaries and contractors, multi-level supervision, and task arrangement need to be checked from top to bottom by relevant organisations.In order to verify the reliability of 24Model analysis results, three SAA methods, namely STAMP, FRAM, AcciMap, were used to analyse the accident, and results obtained by the four methods were evaluated qualitatively and quantitatively. The results show that the output of 24Model is reliable and has a more understandable framework, which can be used as reference for the development of other linear accident cause models and application of system accident analysis methods to real applications.     

网络媒体关注下的污染事件及对污染防治工作的思考——以重金属污染事件为例

收集"十二五"期间重金属污染事件网络媒体报道的重要案件,从由重金属引起的人体健康事件、食品安全事件和突发环境事件为切入点,分析媒体报道中反映出的重金属污染防治工作仍存在的问题。在此基础上,从污染源治理、信息公开、环境监管、企业主体责任、协作机制和环境健康管理的角度,提出"十三五"重金属污染防控建议,为"十三五"相关部门推进重金属污染防治管理和决策提供参考。     

Criteria for Oil Spill Recovery: A Case Study of the Intertidal Community of Prince William Sound, Alaska, Following the Exxon Valdez Oil Spill

Marine intertidal organisms in Prince William Sound were exposed to crude oil following the T/V Exxon Valdez oil spill in 1989. The intertidal communities were also subjected to mechanical disturbance during invasive oil spill remediation and cleanup efforts. Using monitoring data collected from 1989 to 1997, impacts and eventual recovery were assessed at oiled but uncleaned sites and oiled and cleaned study areas. A statistical model where recovery was defined as parallelism between the time profiles at control and oiled sites was evaluated. Statistical analysis and graphical presentations of the data suggest intertidal epibiota communities recovered from the oil spill by 1992 at the oiled sites and by 1994 at the oiled and remediated sites. Empirical data from the intertidal monitoring program supports the use of tests of parallelism in evaluating recovery and the need to avoid simply the comparison of sample means from control and oiled sites.     

Industrial accidents in spray dryer plants for dairy products in Europe

Despite the fact that the information about past accidents is an integral part of accident prevention, the information about industrial accidents is not commonly available in food and agricultural sectors. Spray dryer plants for dairy products are not an exception. The aim of this paper is the creation of the representative database for industrial spray drying accidents in order to identify their major causes. The paper is divided into 8 chapters. The first two chapters deal with the general information about technology of spray drying of dairy products. The third chapter provides the outputs from the authors' database containing records of 25 accidents in milk drying facilities in Europe. These accidents took place between 1999 and 2019 in six European countries. Based on the accident database, the most common causes of accidents were identified. Processes that can cause a fire, an explosion, or damage to environment are described in the fourth, fifth and sixth chapter. The seventh chapter deals with process, technical and organizational measures; these were discussed using literature research and the results of the accident database. The eighth chapter is the conclusion with a focus on further improvement of process safety through newly developed protective tools.     

Predictive Model for Motorcycle Accidents at Three-Legged Priority Junctions

In conjunction with a nationwide motorcycle safety program, the provision of exclusive motorcycle lanes has been implemented to overcome link-motorcycle accidents along trunk roads in Malaysia. However, not much work has been done to address accidents at junctions involving motorcycles. This article presents the development of predictive model for motorcycle accidents at three-legged major-minor priority junctions of urban roads in Malaysia. The generalized linear modeling technique was used to develop the model. The final model reveals that motorcycle accidents are proportional to the power of traffic flow. An increase in nonmotorcycle and motorcycle flows entering the junctions is associated with an increase in motorcycle accidents. Nonmotorcycle flow on major roads had the highest effect on the probability of motorcycle accidents. Approach speed, lane width, number of lanes, shoulder width, and land use were found to be significant in explaining motorcycle accidents at the three-legged major-minor priority junctions. These findings should enable traffic engineers to specifically design appropriate junction treatment criteria for nonexclusive motorcycle lane facilities.     

Developing a process equipment failure knowledge base using ontology approach for process equipment related incident investigations

Process equipment failures (PEFs) are one of the most important causes of process incidents occurrences. To investigate and prevent the PEFs, in addition to having the previous data, it is necessary to have some resources of the PEFs domain knowledge. Nowadays, PEFs data are usually retrieved from existent databases. Customary databases present only previously stored data of equipment failures but, for carrying out a comprehensive PEFs management it is necessary to have access to the PEFs desired knowledge and not only stored data. This paper aims to offer a knowledge base for the PEFs through adopting an ontological approach and then to use the proposed knowledge base for further applications particularly, process incident investigation activities. Through adding semantic search capability, the proposed knowledge base could upgrade the data presenting feature of the common databases into a knowledge presenting feature. Using this approach, the user would be able to extract the desired knowledge of the PEFs along the virtual stored data of occurred cases. The knowledge extraction process and the data mining of occurred incidents are both necessary for the PEFs investigation.     

Driver aging and its effect on male and female single-vehicle accident injuries: some additional evidence

INTRODUCTION: This study explores the differences in injury severity between male and female drivers, and across the different age groups, in single-vehicle accidents involving passenger cars. METHOD: Given the occurrence of an accident, separate male and female multinomial logit models of injury severity (with possible outcomes of no injury, injury, and fatality) were estimated for young (ages 16 to 24), middle-aged (ages 25 to 64), and older (ages 65 and older) drivers. RESULTS: The estimation results show statistically significant differences in the factors that determine injury-severity levels between male and female drivers and among the different driver age groups. CONCLUSIONS: We discuss a number of plausible explanations for the observed age/gender differences and provide suggestions for future work on the subject. IMPACT ON INDUSTRY: A better understanding of age and gender differences can lead to improvements in vehicle and highway design to minimize driver injury severity. This paper provides some new evidence to help unravel this complex problem.