Analysis of crater formation in buried NG pipelines: A survey based on past accidents and evaluation of domino effect

The formation of a crater by the abrupt and catastrophic rupture of a high-pressure pipeline can be highly relevant, especially when the crater uncovers other pipelines, which could undergo a domino effect with a significant increase of the consequences on people or on the environment. However, this scenario has been only partially studied in the literature. To assess the influence of the pipeline parameters on the dimensions of the resulting crater, a statistical analysis of accidental ruptures of buried natural gas pipelines that have involved the formation of a crater was carried out. Mathematical expressions are proposed to describe the proportionality relationships found, which can be very useful to support adequate separation distances in the design and construction of parallel corridors of pipelines after appropriate escalating effects are considered. Finally, detailed event trees were developed to calculate the probability of occurrence of the final outcomes, as well as the identified domino sequences, based on a qualitative and quantitative analysis of the data. The study of these accident scenarios, based on actual cases, represents a useful and needed advance in risk analysis of natural gas transportation through pipelines.     

微塑料污染现状及对海洋生物影响的研究进展

综述了微塑料的主要来源、空间分布及我国水体和沉积物中微塑料的污染现状,以及微塑料与有机污染物的复合污染影响,并从海洋生物摄食微塑料、微塑料与污染物的复合生态风险、微塑料对水生生物的承载作用、微塑料在食物链中的传递及对人类健康的风险4个方面探讨了微塑料对海洋生物的影响。指出,采样方法和分析技术的标准化、微塑料-污染物复合体的毒性效应机制、微塑料对人类健康风险的评估是未来的重点研究方向。     

纵向通风对隧道竖井排烟影响的模拟研究

通过开展小尺寸实验以及FDS数值模拟实验,研究纵向通风对不同高度竖井的排烟影响并确定最佳通风风速。通过分析纵向通风风速、竖井高度对吸穿现象、边界层分离的影响规律,讨论了吸穿现象的临界条件。小尺寸实验中纵向通风风速考虑了0.096 m/s、0.226 m/s、0.356 m/s、0.485 m/s、0.629 m/s五种工况,竖井高度考虑了0.133 m、0.2 m、0.333 m、0.533 m四种工况。实验结果表明:当纵向通风风速为0.096 m/s、0.226 m/s、0.356 m/s(对应实际风速0.37 m/s、0.87 m/s、1.38 m/s)时,可抑制吸穿现象,但烟气边界层分离现象随着风速的增加而加剧。吸穿现象临界判据F_(critical)=1.5在本文所测试的纵向通风条件下不再适用,但Ri′_(critical)=1.5依然适用。数值模拟结果表明:当竖井高度为1 m、1.5 m、2 m时,排烟量随纵向通风的增加而降低,而当其为3 m、4 m、5 m时,排烟量先上升后降低,在测试风速为1.5 m/s时达到最高值。     

"十三五"国家自然科学基金对能源环境管理领域的资助状况和趋势

能源环境管理是各界关注的热点话题,也是科学研究的重要方向.以国家自然科学基金资助能源环境管理领域的科研项目为基础数据信息,本文重点分析了"十三五"期间国家自然科学基金在该领域资助项目的总体特征、研究主题和热点变化,并结合新时代科学基金资助导向提出了可能的发展趋势.主要结论包括:①能源环境管理领域面上、青年、地区等自由探索类项目的立项绝对数和学科占比均呈上升趋势,并更多向青年学者倾斜,资助强度保持稳定;②碳、能源和环境是自由探索项目中出现频率最高的热词,与之相关的研究主题随着政策等调整具有动态变化特征;③能源环境管理领域重点、重大等引导类项目和优青、杰青、创新研究群体等人才类项目不断实现突破,增速明显,学科占比优势突出;④问题导向与本土情景、理论体系和一般规律、学科交叉融合,以及市场和微观主体作用是研究选题确立与项目申请时可能需要重点关注的方向.     

海洋陆源污染的产生原因与防治模式

海洋陆源污染是陆域经济社会活动行为及其对海洋生态环境造成的负面影响进而出现的污染性问题。累积性的陆源排污不仅会对海洋环境容量造成不良影响,同时也会对海洋自净能力造成减弱影响,不利于沿海地区的经济发展。目前,关于海洋陆源污染问题的防治工作刻不容缓,本文就从多个方面进行统筹规划与科学部署,通过深入掌握海洋陆源污染的具体成因,提出了针对性防治模式,以期为相关人员提供一定的借鉴价值。     

An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even casualties. However, few models have been developed to describe the evolution process of natural gas pipeline leakage accidents (NGPLA) and assess their corresponding consequences and influencing factors quantitatively. Therefore, this study aims to propose a comprehensive risk analysis model, named EDIB (ET-DEMATEL-ISM-BN) model, which can be employed to analyze the accident evolution process of NGPLA and conduct probabilistic risk assessments of NGPLA with the consideration of multiple influencing factors. In the proposed integrated model, event tree analysis (ET) is employed to analyze the evolution process of NGPLA before the influencing factors of accident evolution can be identified with the help of accident reports. Then, the combination of DEMATEL (Decision-making Trial and Evaluation Laboratory) and ISM (Interpretative Structural Modeling) is used to determine the relationship among accident evolution events of NGPLA and obtain a hierarchical network, which can be employed to support the construction of a Bayesian network (BN) model. The prior conditional probabilities of the BN model were determined based on the data analysis of 773 accident reports or expert judgment with the help of the Dempster-Shafer evidence theory. Finally, the developed BN model was used to conduct accident evolution scenario analysis and influencing factor sensitivity analysis with respect to secondary accidents (fire, vapor cloud explosion, and asphyxia or poisoning). The results show that ignition is the most critical influencing factor leading to secondary accidents. The occurrence time and occurrence location of NGPLA mainly affect the efficiency of emergency response and further influence the accident consequence. Meanwhile, the weight ranking of economic loss, environmental influence, and casualties on social influence is determined with respect to NGPLAs.     

A data-driven narratives skeleton pattern recognition from accident reports dataset for human-and-organizational-factors analysis

Accidents in the process industry involve several interacting factors, including human and organizational factors (HOFs). A long-standing obstacle to HOFs analysis is lack of data. Accident reports are an essential data source to learn from the past and contain HOFs-related data, but they are usually unstructured text in a not standardized format. Some studies have explored the extraction of information automatically from accident reports based on Natural Language Processing (NLP) techniques. However, they were not dedicated to HOFs. Risk communication is considered an essential pillar in safety and risk science. This research develops a HOFs-focused risk communication framework based on the NLP techniques that can support risk assessment and mitigation. The proposed approach automatically extracts the target groups oriented “Who, When, Where, Why” (4Ws) information from accident reports.This framework was applied to explore the eMARS database. The results show that the “4Ws” skeleton of narratives has appreciated performance in pattern recognition and holistic information analysis. The graphical representation interfaces are designed to display the features of HOFs-related accidents, which can better be communicated to the sharp-end operators and decision-makers.     

Fenton试剂氧化法在工业废水处理中的应用研究

Fenton试剂的氧化能力强,反应过程短,降解效果好,本文中介绍了Fenton试剂的特点,并且通过实验得出几种无机离子对Fenton试剂氧化处理工业废水的影响。     

新疆艾比湖周边居民湿地生态系统健康保护意识调查分析

采用问卷调查的方法,试图真实反映艾比湖周边居民对艾比湖湿地生态系统退化的认知及对艾比湖湿地生态系统健康保护意识的强弱.结果表明：（1）艾比湖周边居民对湿地生态系统退化带来的危害有较为清晰地认识,99％被调查者意识到了艾比湖湿地生态系统退化对周边环境会带来不同程度的危害,78.2％调查对象认为艾比湖湿地生态系统的退化主要是由人类活动引发的,通过正规渠道获取艾比湖湿地生态系统退化信息不够通畅;（2）调查对象对艾比湖湿地生态系统退化情况持有较高的关注度,但支持度不高,85.6％的被调查者对退化湿地的生态恢复有支付意愿;（3）65.5％调查对象对艾比湖湿地生态恢复有信心,但对当地政府宣传和保护艾比湖湿地的力度满意度不高,因此政府部门还需进一步加强对艾比湖的宣传和保护力度.     

黄河三角洲自然保护区秋冬季水鸟群落组成与生境关系分析

于2014年10月至2015年1月采用样线调查法对黄河三角洲自然保护区秋季迁徙期和越冬期水鸟群落结构进行调查研究,调查共包括8条样线40个观测点.结果表明:(1)秋季迁徙期共记录水鸟6目14科54种,国家Ⅰ级保护鸟类5种,国家Ⅱ级保护鸟类8种;越冬期共记录水鸟5目7科31种,国家Ⅰ级保护鸟类1种,国家Ⅱ级保护鸟类4种.(2)2个时期雁形目水鸟种类和数量均占优势,豆雁(Anser fabalis)、斑嘴鸭(Anas poecilorhycha)、赤膀鸭(Anas strepera)和绿头鸭(Anas platyrhynchos)为优势物种,丹顶鹤(Grus japonensis)、东方白鹳(Ciconia boyciana)和大大鹅(Cygnus cygnus)等珍稀水鸟也有一定的种群数量.(3)秋季迁徙期水鸟种数、数量和ShannonWiener多样性指数多于或高于越冬期.(4)5种典型生境之间水鸟种类和数量存在差异,天然水域是水鸟群落的主要分布区.(5)自然生境内的水鸟种数、数量和Shannon-Wiener多样性指数一般多于或高于人工生境.相似性分析结果表明,自然生境之间水鸟群落结构相似程度高于人工生境.