Accident modeling of toxic gas-containing flammable gas release and explosion on an offshore platform

Toxic gas-containing flammable gas leak can lead to poisoning accidents as well as explosion accidents once the ignition source appears. Many attempts have been made to evaluate and mitigate the adverse effects of these accidents. All these efforts are instructive and valuable for risk assessment and risk management towards the poisoning effect and explosion effect. However, these analyses assessed the poisoning effect and explosion effect separately, ignoring that these two kinds of hazard effects may happen simultaneously. Accordingly, an integrated methodology is proposed to evaluate the consequences of toxic gas-containing flammable gas leakage and explosion accident, in which a risk-based concept and the grid-based concept are adopted to combine the effects. The approach is applied to a hypothetical accident scenario concerning an H₂S-containing natural gas leakage and explosion accident on an offshore platform. The dispersion behavior and accumulation characteristics of released gas as well as the subsequent vapor cloud explosion (VCE) are modeled by Computational Fluid Dynamics (CFD) code Flame Acceleration Simulator (FLACS). This approach is concise and efficient for practical engineering applications. And it helps to develop safety measures and improve the emergency response plan.     

Effects of multiple annular obstacles on flame propagation of local corn starch dust in a vertical pipe

With high-speed camera technology, the propagation behavior of explosion flame for the local dust cloud of corn starch in a semi-open vertical pipe under the action of the annular obstacle was studied experimentally, and the blockage rate and the annular obstacle numbers as well as impact of dust cloud concentration on the flame propagation were investigated. The researches showed that both the blockage rate and the annular obstacle numbers have significant effects on the flame speed and propagation process for the dust cloud explosion of corn starch. The increase of the blockage rate of such annular obstacles will cause that the combustion of dust cloud with high concentration is mainly concentrated in the lower part of the pipe. The increase of the annular obstacle numbers will lead to the acceleration of combustion of the dust cloud. With the increase of the blockage rate and the annular obstacle numbers, the maximum flame speed shows a trend of the first increasing and then decreasing, and the phenomenon of accelerated propagation of the flame becomes more and more obvious, however, the distance of continuous acceleration for the flame is gradually decreased and the maximum flame speed is farther from the outlet of the pipe. Under the action of such annular obstacles, the concentration of dust cloud has a significant effect on the flame speed and shape of the dust cloud of the corn starch. The increase of the concentration of the dust cloud will decrease the acceleration effect of such annular obstacles to result in maximum flame speed showing a trend of the first increasing and then decreasing. However, the acceleration distance of the flame is longer, and the maximum flame speed is closer to the outlet of the pipe. The increasing concentration will make the flame speed develop more slowly, the flame color will be darker, and the flame segmentation phenomenon will be more obvious.     

Comparison of explosion models for detonation onset estimation in large-scale unconfined vapor clouds

Although industrial denotations in semi-open and congested geometries are often neglected by many practitioners during risk assessment, recent studies have shown that industrial detonations might be more common than previously believed. Therefore, from the explosion safety perspective, it becomes imperative to better assess industrial detonation hazards to improve robustness of explosion mitigation design, emergency response procedures, and building siting evaluation. Having that in mind, this study aims to review current empirical vapor cloud explosion models, understand their limitations, and assess their capability to indicate detonation onset for elongated vapor clouds. Six models were evaluated in total: TNO Multi-Energy, Baker-Strehlow-Tang (BST), Congestion Assessment Method (CAM), Quest Model for Estimation of Flame Speed (QMEFS), Primary Explosion Site (PES), and Confinement Specific Correlation (CSC). Model estimations were compared with large-scale test data available in the open literature. The CAM model demonstrated good performance in indicating deflagration-to-detonation transition (DDT) for test conditions experiencing detonation onset without any modification in the methodology. Some suggestions are provided to improve simulation results from PES, BST and QMEFS.     

基于风险的液化烃罐区建筑物抗爆荷载评估方法

为合理确定液化烃罐区周边建筑物的抗爆设防荷载,有效进行抗爆设计和防护,建立1套系统的抗爆设防荷载定量评估方法。以某液化烃罐区建筑物为例,计算172个爆炸场景,获得4组累积爆炸频率曲线,基于风险控制标准确定抗爆设防荷载。结果表明:爆炸场景发生频率应包括初始泄漏频率、气象概率、泄漏方向概率和延迟爆炸概率;获得的爆炸超压-累积频率曲线是确定抗爆设防荷载的基础,在爆炸超压较低时,与爆炸源中心距离不同的4面墙体的超压累积频率曲线极为接近;随着爆炸超压的继续增大,累积发生频率的差异逐渐明显;液化烃罐区建筑物的抗爆设防荷载应同时满足2个准则,即万年1次的风险可接受准则和风险可接受范围内爆炸超压最大化准则;根据该准则确定的液化烃罐区附近建筑物东墙的爆炸冲击波峰值入射超压为44.6 kPa,正压作用时间为89.3 ms。     

煤油共生矿区含油煤尘云最低着火温度试验研究

为研究煤油共生矿区含油煤尘最低着火温度的变化规律,选取3种含油浓度不同的煤样,采用粉尘云最低着火温度测定系统,研究含油煤尘云最低着火温度随含油浓度、喷尘压力及煤尘质量的变化规律。研究结果表明:含油煤尘的最低着火温度较不含油煤尘显著降低,且随着煤尘含油浓度的增加,煤尘中挥发分含量增多,煤尘云最低着火温度降低,爆炸危险性增强;低含油浓度煤尘,煤尘受原油挥发分影响较大,在含油浓度为5.7%,4.3%且质量浓度为1364~4550 g/m3时煤尘云最低着火温度随喷尘压力的增大呈先增大后减小的变化趋势,在5.7%,4.3%含油浓度且喷尘压力为0.05 MPa时煤尘MIT随煤尘质量浓度增加先降低后缓慢升高。高含油浓度煤尘,受煤尘团聚现象影响较大,煤尘云最低着火温度随喷尘压力的增加而升高,随煤尘质量的增加呈先减小后增大再缓慢减小的变化规律。     

基于云模型的民用机场消防指挥员决策能力测评研究

为研究民用机场消防指挥员决策能力,考虑测评指标分为定性与定量2类,且指标存在模糊性的特点,建立基于云模型的民用机场消防指挥员决策能力测评方法。根据相关规章规定、专家意见和问卷调查结果,确定测评指标体系,并依据云模型原理建立定性到定量的测评转换模型,将指标的定性测评转化为直观的定量评价;最后,根据云模型的期望、熵、超熵,评价民用机场消防指挥员决策能力水平。研究结果表明:利用基于云模型原理构建的定性与定量测评转换模型进行决策能力测评,所得测评结果能够体现评价指标模糊性和随机性的特点,评估结果更加直观且贴近实际情况。     

Examining the agricultural producer identity: utilising the collective occupational identity construct to create a typology and profile of rural landholders in Victoria,Australia

Multifunctional rural landscapes are often characterised by contrasting values, land uses and land management practices of rural property owners. It seems these trends are, in part, an expression of rural landholder's identification as farmers. Existing typologies of rural landholders seldom take into account occupational identity. Research discussed in this paper addresses that gap. The objective was to apply the collective occupational identity construct to address the challenges of profiling rural landholders and test its effectiveness at distinguishing between different types of landholders. A 12-item scale was used to explore the extent rural landholders in south-eastern Australia held an agricultural producer identity. Cluster analysis resulted in the creation of four clusters of rural landholders with distinctive characteristics, suggesting the approach can provide researchers with a theoretically sound construct and practitioners with a useful tool as they attempt to better understand and engage rural landholders in sustainable agriculture.     

江苏省2013-2016年臭氧时空分布特征

利用2013-2016年江苏省国控空气自动站获得的臭氧（O₃）观测数据,探讨江苏省O₃时空变化特征。结果表明,自2013年以来江苏省大气氧化剂OX （O₃和NO₂）和O₃浓度呈逐年升高趋势,升高速率分别为0.98×10^-9a^-1和3.70 μg/（m³·a）,O₃增幅在我国处于较高水平。在O₃空间分布上,东部沿海O₃浓度相对高于西部内陆,O₃浓度高值由沿海地区逐渐向内陆辐散,呈现出区域性O₃污染。结合经验正交分解进行聚类统计检验,结果显示江苏省O₃分区主要分为苏南、苏中和苏北3类,与江苏省经济发展水平表现出一定的同步性。     

The Impact of Road Traffic in Madrid Community by Using a Nested Gaussian-Mesoscale Air Quality Model (GAMA)

In this contribution we show the integration of a mesoscale air quality model OPANA with the ISCST3 Gaussian model (EPA) in order to analyze the impact of different emission sources and particularly the traffic emission into the different gridboxes which define the OPANA Eulerian structure. The application is done over the Madrid (Spain) regional area with 80 × 100 km and gridboxes of about 5 km. Thousands of Gaussian runs over interested gridboxes are executed in order to simulate the traffic emissions from each gridbox. Each mobile unit is represented by a Gaussian point emitter. Input meteorological variables for the ISCST3 are taken from the OPANA mesoscale air quality model. Results shows that it is possible to model the impact of traffic emissions over each gridbox. A short comparison with air quality monitoring in each gridbox is also shown.     

浊点萃取-高效液相色谱测定土壤及底泥中痕量多环芳烃

采用阴离子表面活性剂十二烷基硫酸钠(SDS)超声波辅助浊点萃取(CPE),高效液相色谱法(HPLC)测定土壤及底泥中痕量多环芳烃(PAHs),在SDS浓度为2.75%,HCl用量为4.2mol·l-1,平衡温度为70℃.恒温时间为50min的最佳条件下,萘、芴、苊烯、菲和芘的方法检测限分别:31.40,18.84,12.56,94.20和31.40μg·l-1,线性范嗣为0-10.0 mg·l-1.