The effect of vent size and congestion in large-scale vented natural gas/air explosions

A typical building consists of a number of rooms; often with windows of different size and failure pressure and obstructions in the form of furniture and décor, separated by partition walls with interconnecting doorways. Consequently, the maximum pressure developed in a gas explosion would be dependent upon the individual characteristics of the building. In this research, a large-scale experimental programme has been undertaken at the DNV GL Spadeadam Test Site to determine the effects of vent size and congestion on vented gas explosions. Thirty-eight stoichiometric natural gas/air explosions were carried out in a 182 m³ explosion chamber of L/D = 2 and K_A = 1, 2, 4 and 9. Congestion was varied by placing a number of 180 mm diameter polyethylene pipes within the explosion chamber, providing a volume congestion between 0 and 5% and cross-sectional area blockages ranging between 0 and 40%. The series of tests produced peak explosion overpressures of between 70 mbar and 3.7 bar with corresponding maximum flame speeds in the range 35–395 m/s at a distance of 7 m from the ignition point. The experiments demonstrated that it is possible to generate overpressures greater than 200 mbar with volume blockages of as little as 0.57%, if there is not sufficient outflow through the inadvertent venting process. The size and failure pressure of potential vent openings, and the degree of congestion within a building, are key factors in whether or not a building will sustain structural damage following a gas explosion. Given that the average volume blockage in a room in a UK inhabited building is in the order of 17%, it is clear that without the use of large windows of low failure pressure, buildings will continue to be susceptible to significant structural damage during an accidental gas explosion.     

离子色谱法测定废水中硫化物

用蒸馏法对废水进行预处理,磷酸对样品进行酸化使其释放硫化氢,氢氧化钠溶液进行吸收,离子色谱法进行测定。该方法检出限为0.003mg/L,在0.03～10mg/L浓度范围内线性良好,相对标准偏差分别为7.40%、4.31%,实际样品加标回收率在92.0%～117.4%之间。离子色谱法与化学法间相对偏差为4.58%～13.3%。该方法操作简便,灵敏度高,精确度和准确度高,便于推广,适合废水中硫化物的测定。     

催化裂解装置尾气中二氧化硫测试方法的探讨

针对裂解装置催化再生尾气焚烧废气经海水脱硫后二氧化硫的监测,利用碘量法和定电位电解法同时测定二氧化硫的浓度,并对结果进行了比较和校验,同时对废气中的干扰因素进行分离试验。结果表明,碘量法和定电位电解法测定裂解装置催化再生尾气焚烧废气中的二氧化硫,两种方法测定结果无显著性差异。     

气相色谱-质谱法分析饮用水源水中甲基汞

采用自动固相萃取-气质联用法分析饮用水源中的甲基汞,通过巯基棉小柱萃取大体积(5L)水样后,选择离子扫描方式(SIM)进行定量。实验对比国家标准方法具有更好的线性关系,实际操作简单快捷,灵敏度高。3个浓度水平进行加标回收实验,回收率分别大于71.0%、74.4%、76.0%。对10μg/L浓度重复进样6次,相对标准偏差(RSD)为4.8%。该方法检出限可达到3×10-4μg/L,满足饮用水源水中甲基汞标准限值要求。     

加速溶剂萃取-凝胶净化色谱-气相色谱质谱法测定农用地土壤中有机氯农药方法研究

通过对加速溶剂萃取、平行蒸发及净化方法等环节的优化实验,建立了加速溶剂萃取-凝胶净化色谱-气相色谱质谱法测定农用地土壤中23种有机氯农药的检测方法。结果表明,方法检出限为0.0034~0.0052 mg/kg;对化合物质量分数为0.25 mg/kg的土壤加标样品进行平行实验,回收率为82.0%~93.7%;测定结果的相对标准偏差（RSD）≤8.7%。对土壤有证标准质控样品进行分析,测定结果均在验收范围之内。该方法准确可靠,灵敏度较高,样品净化效果较好,能够满足农用地土壤中有机氯农药残留痕量分析的要求。     

Evaluation of offline sampling for atmospheric C3-C11 non-methane hydrocarbons

The concentration variation of C3-C11 non-methane hydrocarbons(NMHCs) collected in several types of commercial flexible bags and adsorption tubes was systematically investigated using a gas chromatography-flame ionization detector(GC-FID) system. The percentage loss of each NMHC in the polyvinyl fluoride(PVF) bags was less than 5% during a 7-hr storage period; significant NMHCs loss was detected in aluminum foil composite film and fluorinated ethylene propylene bags. The thermal desorption effic...     

SO32-/HSO5-体系去除印染生化尾水溶解性有机污染物

印染废水常规生化处理尾水中仍残余一定浓度的溶解性有机污染物（DOM）和新标准严格管控的苯胺.采用亚硫酸钠活化过硫酸氢钾复合盐（SO₃^2-/HSO₅^-）产硫酸根自由基（SO₄^-·）高级氧化体系对尾水进行深度处理,并基于响应面法优化初始pH值、反应温度、SO₃^2-/HSO₅^-物质的量比和HSO₅^-投加量对COD和苯胺去除效果的单独及交互影响.结果表明该体系对苯胺具有非常显著的去除效果,同时对COD亦有一定的降解能力.影响因子对COD和苯胺降解效果贡献排序分别为：温度>n（SO₃^2-）/n（HSO₅^-）>n（HSO₅^-）>初始pH值和n（HSO₅^-）>n（SO₃^2-）/n（HSO₅^-）/初始pH值>温度.在实验优化后得到的最佳条件下（pH=6.8,温度为53℃,SO₃^2-/HSO₅^-物质的量比为1.6,HSO₅^-投加量为37.1mmol/L）反应10min,出水的COD和苯胺去除率分别达到33%和90%.进一步分析了印染生化尾水处理前后DOM的荧光和分子特性,三维荧光光谱（3DEEMs）发现芳香族蛋白质和溶解性微生物代谢产物是原尾水中DOM的主要组分,经不同氧化条件下出水中DOM的荧光强度明显降低且性质发生改变,荧光区域标准体积削减了42.03%~77.67%;同时观察到氧化出水中类色氨酸（Ex/Em=230~225nm/340~330nm）峰值发生了5~10nm的蓝移,推测尾水中稠环芳烃分解为小分子,共轭基团和芳香环数量减少;凝胶渗透色谱（GPC）结果表明DOM中大分子（0.45 μm~100kDa）物质比例为41%,中等分子（12~100kDa）物质的比例为48.9%,峰值分子量（Mp）为56.324kDa,Mw/Mn=2.168,处理后的出水Mp主要分布在12.28~17.56kDa范围内,小分子物质数量增多,结构和种类发生变化;气相色谱质谱（GC-MS）进一步揭示氧化出水中的烷烃类物质含量明显降低,主要副产物为一些酯类、醇类和脂肪酸物质,为后续进一步生化处理创造了条件.     

Empirical research on diffusion behavior of leaked gas in the ground

Chemical plants and gas utilities own large underground pipelines to transport material such as combustible gas. For example, city gas utilities in Japan have about 230,000 km of pipelines, even if only the pipelines to deliver gas to their customers are considered. Any accidents involving such pipelines can lead to enormous human and physical damage, and their security is therefore a top-priority issue for utilities. For the safety management of underground pipelines, in addition to assessment of the long-term reliability of pipeline materials, it is extremely important to understand the diffusion behavior of gases in the ground, such as the diffusion range and time, in the case of leakage, and the impact on the surrounding area is a fundamental factor to be considered in the design and maintenance of safe facilities and for emergency response. Although many papers introduce the situations of gas diffusion in the atmosphere such as indoor and outdoor conditions, only fundamental surveys have been conducted on gas diffusion in the ground, and there have been few full-scale empirical studies. This study reports the results of the verification of the diffusion behavior with full-scale gas leakage experiments simulating real underground pipelines, as well as the outcomes of the applicability test of a numerical simulation model investigated and proposed based on the results. This technical knowledge regarding security will contribute to further improvement of safety in the industry.     

Application of social network theory to prioritizing Oil & Gas industries protection in a networked critical infrastructure system

As a typical process industry, the Oil & Gas industries play a key role within a networked critical infrastructure system in terms of their interconnection and interdependency. While the tight coupling of infrastructures increases the efficiency of infrastructure operations, interdependency between infrastructures may cause cascading failure of infrastructures. The interdependency between critical infrastructures gives rise to an infrastructure network. In this paper, we apply social network analysis, an analytical tool used by social scientists, to study human interactions and to analyze characteristics of the critical infrastructure network. We identify Oil & Gas, Information & Communication Technologies (ICT), and Electricity as three infrastructures that are most relied upon by other infrastructures, thus these may cause the greatest cascading failure of the infrastructures. Among the three, we further determine that Oil & Gas and Electricity are the more vulnerable infrastructures. As a result, priority toward critical infrastructure protection should be given to the Oil & Gas and Electricity infrastructures since they are most relied upon but at the same time depend more on other infrastructures.     

液-液萃取-气相色谱法同时测定水中吡啶、松节油和苯胺

研究建立了气相色谱法同时测定水中吡啶、松节油和苯胺的方法.采用二氯甲烷萃取,萃取后直接进行色谱分离分析,3种物质能够有效分离.吡啶、松节油和苯胺的水中最低检测浓度分别为0.009、0.009、0.004mg/L,样品添加平均回收率为89％～114％,平行6次精密度实验,相对标准偏差小于6.5.实验结果表明,气相色谱法简单、快速、准确,适用于水中吡啶、松节油和苯胺的测定.