基于模糊聚类关联分析法的煤与瓦斯突出程度分析

运用模糊聚类分析方法对煤与瓦斯突出的样本集合进行分类,建立了不同突出程度的模糊模式.用关联分析确定待分析样本与模式的关联程度,以此预测预报样本的煤与瓦斯突出危险程度.实例分析表明,与模糊聚类分类后、将模式与待预报样本组成新样本集合进行聚类分析并以此分类结果进行预报的方法相比,这种预报方法不仅可靠程度高,而且能定量描述待报样本与模式的亲和程度.     

生态缺水条件下流域生态经济系统安全性分析

生态用水和社会经济用水的竞争状况使得研究水资源短缺地区的流域生态经济系统安全状况、有效进行生态缺水条件下流域生态经济系统的调控十分必要.从宏观角度出发,首先分析了流域生态经济系统演化的机制和影响因素,在此基础上,通过建立指标体系,提出了构建流域主要指标为状态变量的生态经济系统演化模型,并利用模型进行系统安全性分析.以潮白河流域为例,构建了人口数量、人均GDP、生态系统指数以及生态用水比例为状态变量的生态经济系统演化模型.模型模拟结果表明,如果不加以调控,该流域将无法提供生态经济系统的安全保障.提出了提高生态用水比例、控制经济增长速度和积极进行生态建设、控制水土流失的对策,为实现潮白河流域的生态经济系统安全保障服务.     

1993-2003年特大火灾发生规律、特征及原因分析

火灾作为一种灾害现象,其发生与发展具有随机性和确定性的双重特性.火灾统计分析是研究火灾随机性规律的一种有效方法,它通过总结、整理和分析大量的原始火灾资料,归纳出火灾发生的统计性规律.本文从1993-2003年我国火灾形势着手,联系火灾形势发展过程中的火灾起数、火灾中人员伤亡和直接财产损失等大量数据,重点分析了特大火灾的原因及类别特征,总结了特大火灾发生发展的规律和趋势,为正确认识和预测我国火灾形势、做好特大火灾的预防工作提供了参考.     

改善太仓城区水环境原型调水实验研究及模型建立

为达到改善太仓城区水环境的目的,于2004年4月21日进行了调水实验.调水历时14 h,期间向城区调水21.8万m3.通过对监测点采样,得到水量、水质实测数据.根据实验数据,建立了符合太仓河网的水量水质数学模型,分析了从长江引水对太仓城区水环境的改善程度.同时对不同引水方案情况下城区水环境改善效果,以及截污和清淤对水环境的影响做了分析.研究表明,引水只能短期改善水环境;要根治水环境,必须从源头抓起,进行截污.     

中国经济增长对碳排放的影响分析

通过相关分析探讨了中国国内生产总值(GDP)的增长与碳排放量的关系.结果表明,二者有明显的相关性(R2＝0.958 1).进一步研究认为,由于中国投资率在35%～40%以上,且工业增加值占GDP的比重超过50%,因此中国过分依赖投资的经济增长方式和以第二产业(工业)为主的经济结构在很大程度上是导致温室气体排放量增加的主要原因.未来在全球化背景下,经济增长可转变为更多地依靠科技创新、技术进步和制度的改进,因此,调整经济增长方式和产业结构,可以在保持发展经济的同时,使碳排放强度呈逐渐下降的趋势.     

新型生物质活性炭烟气脱硫研究

以农业废弃物核桃壳为原料,天然软锰矿为添加剂共混制备得到的新型生物质柱状活性炭进行烟气脱硫的性能研究.采用固定床反应器进行脱硫实验,装填活性炭质量为16 g,考察了进口SO2含量、空速、床层温度、水蒸气和氧气含量等工艺参数对活性炭脱硫性能的影响.结果表明,进口SO2含量在0.1%～0.3%(体积含量)范围内时,活性炭的穿透硫容和穿透时间随着进口SO2含量的升高而降低;空速越大,活性炭越容易穿透,较佳的空速为600 h-1;最适的床层温度为80℃,过高会降低脱硫效率;水蒸气和氧气的存在大大促进了活性炭对SO2的吸附性能,最佳水蒸气含量为10%,最佳氧气含量为10%～13%.在最佳工艺操作条件下,当进口SO2含量为0.2%时,活性炭穿透硫容为252 mg.g-1,穿透时间可达26 h.     

新安江流域土地利用结构对水质的影响

以新安江上游流域为研究区域,用该流域2010年5月TM遥感影像图作为底图,通过实地野外调查获取了新安江流域的土地利用图.运用ArcGIS的水文、空间分析功能,将流域划分为8个子流域,并分析各子流域的土地利用结构.根据2010年1～12月的水质监测数据,分析TN、TP、高锰酸盐指数、NH4+-N、粪大肠菌群的时空变化特征,以及与土地利用结构之间的定量关系.结果表明,TN和NH4+-N有明显的时间变化特征,为枯时期>丰水期>平水期,而其他几种指标没有明显的时间变化.在空间上,整体上呈现出渔梁、浦口污染最为严重.流域内土地利用结构与水质之间的相关关系表现为:耕地、水体、建筑用地起源作用,林地、草地起汇作用.在年度上看,耕地对TN、NH4+-N、高锰酸盐指数影响最大,草地对TP影响最大;不同水期上,枯水期和丰水期,对各指标影响最大的土地利用类型为耕地,在平水期,对TN、TP、粪大肠菌群影响最大的土地利用类型分别为耕地、草地、林地.     

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.     

Simulation of scenario characteristics of LPG tank explosion accident and its contribution to emergency planning: A case study

Leakage and explosion of hazardous chemicals during road transportation can cause serious building damage and casualties, and adoption of highly-efficient emergency rescue measures plays a critical role in reducing accidental hazards. Considering a liquefied petroleum gas (LPG) transport tanker explosion accident that occurred in Wenling, Zhejiang Province, China on June 13, 2020 as example, this study proposes a risk assessment framework. This framework recreates the leakage and explosion of the accident process using FLACS v10.9, suggests plans for evacuation, describes the rescue areas of different levels, and explores the influence of environmental factors on the evacuation and rescue areas. The results show that simulated and predicted distributions of fuel vapour cloud concentration and explosion overpressure can provide a reference basis for rapid rescue activities; the characterization of the dynamic effects of wind speed, wind direction, and temperature with respect to the evacuation and rescue areas can be used as theoretical support for on-site adjustment of rescue forces. The role of obstacles can prevent the expansion of the evacuation areas under low wind-speed conditions, and the presence of highly congested obstacles determines the level of the rescue area. The results obtained are important for the risk analysis and the development of emergency rescue measures in case of explosion accidents associated with transportation of hazardous chemicals on high-hazard and high-sensitive road sections.     

A disaster scene simulation system in 3D for oil transmission stations: Design and implementation

The disaster scene in three-dimensional (3D) plays a crucial role in disaster emergency management and risk communication of oil transmission stations. However, existing research for the disaster scene mainly focuses on reproducing the disaster environment and rarely predicts the damage state of the disaster-affected object. This paper proposes an object-oriented modeling method that utilizes a multilevel decomposition pattern for disaster scenes. This method combines earthquake vulnerability assessment with 3D visualization technology to predict and characterize the damage state of critical infrastructure in oil transmission stations. To enhance earthquake risk perception, a simulation system is designed and developed, which allows for the construction of virtual scenes and quick simulation of disaster scenes in 3D. The case application shows that the system improves the 3D modeling efficiency of disaster scenes and enhances public awareness of earthquake risks. The simulation system can provide technical support for seismic mitigation planning and emergency management decision-making at oil transmission stations and has good application prospects.